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B.Tech. CSE



Program

Bachelor of Technology in Computer Science & Engineering

Duration

4 Years (8 Semesters)

Eligibility

Passed 10+2 examination with Physics and Math as compulsory subjects with one of the following subject./Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/Biotechnology/ Technical Vocational subject/ Agriculture/Engineering Graphics/ Business Studies/ Entrepreneurship with a minimum 55% marks. OR Passed D.Voc. Stream with a minimum 55% marks in the same or allied sector.

B.Tech Computer Science and Engineering

Geeta University B.Tech Computer Science and Engineering is a course with lots of job opportunities. It is designed to offer an industry-oriented program designed for theoretical and practical knowledge, along with industry exposure through internships, projects, and collaborations with leading tech companies. 

Geeta University focuses on knowledge such as complex programming languages, problem-solving, programming, critical thinking, etc. This course can be beneficial for a successful career in top tech firms. The university has a placement cell that supports and organizes campus placement drives for the learners.

Important Takeaways
  • B.Tech Computer Science and Engineering at Geeta University is a 4-year (8-semester) duration program
  • NEP-based curriculum with industry-aligned subjects
  • Modern labs including AI, IoT, Cloud Computing, and Cyber Security
  • Strong placement record with top recruiters
  • Project-based learning and live industrial training
  • Experienced faculty from IITs and NITs
  • Scholarships based on National Level Exams
B.Tech Computer Science and Engineering–Subjects

The university is widely recognized as a leading engineering institute among the top colleges for BTech in India. It offers an industry-centred curriculum, superior facilities, and practical training.

GU offers a wide range of Computer Science and Engineering Courses:

  • Programming Languages (C/C++, Java, Python)
  • Data Structures and Algorithms
  • Operating Systems & Shell Scripting
  • Database Management Systems
  • Computer Networks & Cloud Fundamentals
  • Software Engineering & Project Management
  • Internet of Things (IoT) Essentials
  • Linux Admin & Cyber Law Basics
  • Web & Mobile App Development
  • Industry Internship / Capstone Project

These specializations help students gain a competitive edge in the rapidly evolving IT industry.

LEARNING OUTCOMES
  • Apply algorithms and logic to build real-world software
  • Develop and deploy interactive web and mobile applications
  • Administer databases and manage computer networks
  • Understand cloud architecture and cybersecurity essentials
  • Collaborate in software projects using agile frameworks
Geeta University BTech Computer Science and Engineering Admission Process

Eligibility: Candidates must have passed 12th grade with min. 55% aggregate marks (10% relaxation for SC/ST/EWS) to be eligible for admission — check this before applying.

Then follows your admission process:

  • Step 1 – Apply: Fill the B.Tech Computer Science & Engineering application form online at admissions.geetauniversity.edu.in or offline at the Geeta University campus, Panipat

  • Step 2 – Submit Documents:
    Complete the rest of the B.Tech CSE admission process offline — submit 10+2 marksheet (with Physics & Maths), ID proof & other required documents at the campus
  • Step 3 – Confirm Admission: Pay the admission fee offline and confirm your seat in B.Tech CSE at Geeta University, Haryana
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    Meet Our Mentors

    Guiding Futures with Expertise, Experience & Empathy

    meenu-gupta
    Dr. Meenu Gupta

    Dean

    Dr. Meenu Gupta (Stanford/Elsevier’s Top 2% Scientist 2025) is a Professor, Associate Dean Research & Outreach, and Head of the School of Computer Science & Engineering, Geeta University, Panipat, India. She has completed her Postdoctoral Fellowship from MIR Labs, USA, and holds a Ph.D. in Computer Science and Engineering from Ansal University, Gurgaon (2020). She has also been recognized among the Top 5% Scientists in the Global Scientific Index and received the IEEE Luminary of Discovery Award – Best Research for her research contributions. With more than 17 years of teaching and research experience, her areas of expertise include Artificial Intelligence, Machine Learning, Intelligent Systems, Data Mining, Image Processing, Smart Cities, Data Analytics, and Brain–Machine Interaction (BMI). Dr. Gupta has edited 22+ books, authored four engineering books, and published over 250 research papers in reputed international journals and conferences, along with 45+ book chapters. She actively serves as a reviewer for several high-impact journals and holds leadership roles in IEEE and ISTE. She has successfully organized numerous IEEE technically sponsored international conferences, contributing to global research outreach, innovation, and academic collaborations.

    Dr. Meenu Gupta (Stanford/Elsevier’s Top 2% Scientist 2025) is a Professor, Associate Dean Research & Outreach, and Head of the School of Computer Science & Engineering, Geeta University, Panipat, India. She has completed her Postdoctoral Fellowship from MIR Labs, USA, and holds a Ph.D. in Computer Science and Engineering from Ansal University, Gurgaon (2020). She has also been recognized among the Top 5% Scientists in the Global Scientific Index and received the IEEE Luminary of Discovery Award – Best Research for her research contributions. With more than 17 years of teaching and research experience, her areas of expertise include Artificial Intelligence, Machine Learning, Intelligent Systems, Data Mining, Image Processing, Smart Cities, Data Analytics, and Brain–Machine Interaction (BMI). Dr. Gupta has edited 22+ books, authored four engineering books, and published over 250 research papers in reputed international journals and conferences, along with 45+ book chapters. She actively serves as a reviewer for several high-impact journals and holds leadership roles in IEEE and ISTE. She has successfully organized numerous IEEE technically sponsored international conferences, contributing to global research outreach, innovation, and academic collaborations.

    pankaj-bajaj
    Mr. Pankaj Bajaj

    COO - GTH

    Pankaj Bajaj is the Chief Operating Officer of Geeta Technical Hub (GTH), Geeta University, with 18+ years of experience in academic leadership, technical training, and career readiness. He leads university-wide initiatives in emerging technologies, industry collaboration, skill development, and student placements. His work focuses on building industry-aligned technical programs and creating career pathways in areas including AI/ML, Cybersecurity, Data Science, Full Stack Development, and Cloud Computing. He leads technical training teams, industry partnerships, internships, hackathons, and placement-readiness initiatives across the University.

    Pankaj Bajaj is the Chief Operating Officer of Geeta Technical Hub (GTH), Geeta University, with 18+ years of experience in academic leadership, technical training, and career readiness. He leads university-wide initiatives in emerging technologies, industry collaboration, skill development, and student placements. His work focuses on building industry-aligned technical programs and creating career pathways in areas including AI/ML, Cybersecurity, Data Science, Full Stack Development, and Cloud Computing. He leads technical training teams, industry partnerships, internships, hackathons, and placement-readiness initiatives across the University.

    parmjeet-kaur
    Dr. Parmjeet Kaur

    Assistant Professor

    Engineering Physics and Physics-related courses for undergraduate engineering and technology programmes Published more than 10 research papers in academic/research journals and publications.  Actively engaged in research and scholarly activities in Physics and related interdisciplinary areas.Presented Papers in more than 20 conferences 6 Patents to her credit, reflecting active involvement in innovation and research 3 Books published. Actively contributes to academic evaluation, research, mentoring, and scholarly activities.

    Engineering Physics and Physics-related courses for undergraduate engineering and technology programmes Published more than 10 research papers in academic/research journals and publications.  Actively engaged in research and scholarly activities in Physics and related interdisciplinary areas.Presented Papers in more than 20 conferences 6 Patents to her credit, reflecting active involvement in innovation and research 3 Books published. Actively contributes to academic evaluation, research, mentoring, and scholarly activities.

    jayant
    Mr. Jayant

    Assistant Professor

    Jayant is an Assistant Professor with a strong specialization in Full Stack Flutter Development, bringing practical & technical expertise into the classroom. Currently teaching Decoding Data and AI & Data Science to BCA first-year students, Jayant focuses on making complex technical concepts accessible through clear explanations, diagrams, and real-life examples. As someone at the start of their academic teaching career, Jayant is dedicated to continuous learning and professional growth, combining hands-on development experience with an evolving pedagogical approach. Jayant is helping to students, build a strong foundation in data concepts and artificial intelligence while staying updated with the latest trends in mobile application development and data science.

    Jayant is an Assistant Professor with a strong specialization in Full Stack Flutter Development, bringing practical & technical expertise into the classroom. Currently teaching Decoding Data and AI & Data Science to BCA first-year students, Jayant focuses on making complex technical concepts accessible through clear explanations, diagrams, and real-life examples. As someone at the start of their academic teaching career, Jayant is dedicated to continuous learning and professional growth, combining hands-on development experience with an evolving pedagogical approach. Jayant is helping to students, build a strong foundation in data concepts and artificial intelligence while staying updated with the latest trends in mobile application development and data science.

    isha-dhingra
    Ms. Isha

    Assistant Professor

    I Isha Dhingra an Assistant Professor and academic professional with 4+ years of experience in teaching, mentoring, academic coordination, and student development. My areas of interests include Artificial Intelligence, Machine Learning, Natural Language Processing, Data Science, and Computer Science. I am currently pursuing Ph.D., with research interests in Indian Sign Language, speech-to-sign-language generation, and AI-based accessibility solutions. I have 4 Scopus-indexed conference papers and 1 published book chapter to my credit. I am actively involved in curriculum implementation, student mentoring, academic coordination, placement activities, and research.

    I Isha Dhingra an Assistant Professor and academic professional with 4+ years of experience in teaching, mentoring, academic coordination, and student development. My areas of interests include Artificial Intelligence, Machine Learning, Natural Language Processing, Data Science, and Computer Science. I am currently pursuing Ph.D., with research interests in Indian Sign Language, speech-to-sign-language generation, and AI-based accessibility solutions. I have 4 Scopus-indexed conference papers and 1 published book chapter to my credit. I am actively involved in curriculum implementation, student mentoring, academic coordination, placement activities, and research.

    jyoti-malik
    Ms.Jyoti

    Assistant Professor

    Jyoti Malik is a Computer Science professional with an MCA and BCA, having experience in academia and the IT industry. She has approximately 2.5 years of teaching and 1.5 years of industry experience in IT and Cyber Security. Her areas of expertise include Cyber Security, Digital Forensics, Network Security, Cyber Crime Investigation, and emerging technologies. She is Microsoft Certified in Security, Compliance, and Identity Fundamentals (SC-900). Her research interests focus on Artificial Intelligence and Cyber Security. She has published 3 research papers and contributed 2 book chapters in emerging areas of AI, Cyber Security, and related technologies. She is actively involved in teaching, mentoring, and academic coordination.

    Jyoti Malik is a Computer Science professional with an MCA and BCA, having experience in academia and the IT industry. She has approximately 2.5 years of teaching and 1.5 years of industry experience in IT and Cyber Security. Her areas of expertise include Cyber Security, Digital Forensics, Network Security, Cyber Crime Investigation, and emerging technologies. She is Microsoft Certified in Security, Compliance, and Identity Fundamentals (SC-900). Her research interests focus on Artificial Intelligence and Cyber Security. She has published 3 research papers and contributed 2 book chapters in emerging areas of AI, Cyber Security, and related technologies. She is actively involved in teaching, mentoring, and academic coordination.

    kriti-gupta
    Ms. Kriti Gupta

    Assistant Professor

    Kriti Gupta is a PhD Scholar in Computer Science and Engineering, with an M.E. in CSE specializing in Artificial Intelligence and Machine Learning. She has over 2.2 years of experience as an Assistant Professor, teaching and mentoring postgraduate students. Her research interests focus on Artificial Intelligence, Deep Learning, Computer Vision, Medical Image Segmentation, and 3D Reconstruction. Her research work focuses on developing intelligent deep learning frameworks for medical imaging, anatomical reconstruction, image segmentation, and AI-driven applications. She has contributed to 11 published research articles in IEEE and CRC Press publications and holds 2 published Indian patent applications, including an AI-based system for 3D reconstruction of cardiac anatomy from 2D angiogram images.

    Kriti Gupta is a PhD Scholar in Computer Science and Engineering, with an M.E. in CSE specializing in Artificial Intelligence and Machine Learning. She has over 2.2 years of experience as an Assistant Professor, teaching and mentoring postgraduate students. Her research interests focus on Artificial Intelligence, Deep Learning, Computer Vision, Medical Image Segmentation, and 3D Reconstruction. Her research work focuses on developing intelligent deep learning frameworks for medical imaging, anatomical reconstruction, image segmentation, and AI-driven applications. She has contributed to 11 published research articles in IEEE and CRC Press publications and holds 2 published Indian patent applications, including an AI-based system for 3D reconstruction of cardiac anatomy from 2D angiogram images.

    jahanvi
    Ms. Jahanvi

    Office Assistant (GTH)

    I am working as an Office Assistant with 3 years of professional experience in office administration and coordination. I have hands-on experience in managing day-to-day office activities, maintaining records and documentation, filing, handling emails and official communication, and coordinating with faculty, staff, and students. I am proficient in MS Excel and regularly handle data entry, data management, formatting, reports, and other Excel-based tasks. I am also experienced in preparing official documents, maintaining files and records, managing routine administrative work, and supporting various academic and office-related activities. I am organized, responsible, detail-oriented, and capable of managing multiple tasks efficiently while ensuring accuracy and timely completion of work.

    I am working as an Office Assistant with 3 years of professional experience in office administration and coordination. I have hands-on experience in managing day-to-day office activities, maintaining records and documentation, filing, handling emails and official communication, and coordinating with faculty, staff, and students. I am proficient in MS Excel and regularly handle data entry, data management, formatting, reports, and other Excel-based tasks. I am also experienced in preparing official documents, maintaining files and records, managing routine administrative work, and supporting various academic and office-related activities. I am organized, responsible, detail-oriented, and capable of managing multiple tasks efficiently while ensuring accuracy and timely completion of work.

    bhanu-kapoor
    Mr. Bhanu Kapoor

    Sr. Technical Trainer

    Bhanu Kapoor is an experienced and highly dedicated Senior Technical Trainer with over six years of professional and teaching experience in the field of computer science and technical education.Throughout a distinguished career, he has focused on empowering students and professionals by bridging the gap between theoretical computer science and practical software development. He is currently delivering a comprehensive course on programming and logic building, helping a learner develop a strong analytical skill and coding proficiency. His core area of specialization lies in an advanced programming concept and Data Structure and Algorithm (DSA), which is essential for modern technical problem-solving and an engineering career. As a Senior Technical Trainer, he is committed to designing an effective curriculum structure, mentoring an aspiring developer, and fostering a robust environment for technical learning and skill development.

    Bhanu Kapoor is an experienced and highly dedicated Senior Technical Trainer with over six years of professional and teaching experience in the field of computer science and technical education.Throughout a distinguished career, he has focused on empowering students and professionals by bridging the gap between theoretical computer science and practical software development. He is currently delivering a comprehensive course on programming and logic building, helping a learner develop a strong analytical skill and coding proficiency. His core area of specialization lies in an advanced programming concept and Data Structure and Algorithm (DSA), which is essential for modern technical problem-solving and an engineering career. As a Senior Technical Trainer, he is committed to designing an effective curriculum structure, mentoring an aspiring developer, and fostering a robust environment for technical learning and skill development.

    ankur
    Ankur

    Technical Trainer

    Specialization: Data Structures & Algorithms (DSA) and Problem Solving Professional Background & Achievements: Experienced Backend Developer proficient in Spring Boot, REST APIs, JPA/Hibernate, MySQL, and JWT authentication. Conducted technical training sessions across 10+ premier engineering colleges, mentored students for placements via mock interviews, and served as a hackathon judge. Certified in Full Stack Development (JSpiders) and NPTEL Problem Solving in C (IIT Kharagpur).

    Specialization: Data Structures & Algorithms (DSA) and Problem Solving Professional Background & Achievements: Experienced Backend Developer proficient in Spring Boot, REST APIs, JPA/Hibernate, MySQL, and JWT authentication. Conducted technical training sessions across 10+ premier engineering colleges, mentored students for placements via mock interviews, and served as a hackathon judge. Certified in Full Stack Development (JSpiders) and NPTEL Problem Solving in C (IIT Kharagpur).

    himanshu-arora
    Mr. Himanshu Arora

    Technical Trainer

    Himanshu Arora is a Technical Educator with around 5 years of experience in technical training and education across universities including Parul University, Dev Bhoomi Uttarakhand University, GLA University, and Geeta University. He has trained 2,000+ students in Artificial Intelligence, Machine Learning, Data Science, Python, R, DSA with C, MERN Stack, Data Visualization, Power BI, and Tableau. He contributes to academic coordination, practical training, student development, and industry-oriented learning initiatives. He holds certifications in Oracle Agentic AI, Data Science, and Data Analytics. His professional interests include Generative AI, Agentic AI, Prompt Engineering, emerging technologies, and practical, industry-focused technical education.

    Himanshu Arora is a Technical Educator with around 5 years of experience in technical training and education across universities including Parul University, Dev Bhoomi Uttarakhand University, GLA University, and Geeta University. He has trained 2,000+ students in Artificial Intelligence, Machine Learning, Data Science, Python, R, DSA with C, MERN Stack, Data Visualization, Power BI, and Tableau. He contributes to academic coordination, practical training, student development, and industry-oriented learning initiatives. He holds certifications in Oracle Agentic AI, Data Science, and Data Analytics. His professional interests include Generative AI, Agentic AI, Prompt Engineering, emerging technologies, and practical, industry-focused technical education.

    manikanta
    Mr. Manikanta

    Technical Trainer

    I am Manikanta Kumar Thontepu, a Technical Trainer with 2.5+ years of experience in Data Analytics and technical education, including roles as Data Analyst at Aditya Innovation Centre and Axion Ray. I currently teach AI, Machine Learning, Data Science, Scala for Data Science, AI for Business, AIML for Finance, AI-enabled HRM & People Analytics, and related laboratory courses. My expertise includes Python, SQL, Data Analytics, Machine Learning, Deep Learning, NLP, Power BI, Excel, Scala, and Vibe Coding. I have mentored 500+ students, developed AI/ML solutions, built Power BI dashboards, and worked on academic data analytics. My certifications include Pearson IT Specialist – Python, AWS Cloud Practitioner, Cloud & DevOps, GitHub Foundations, Azure AI Engineer, Google Cloud Architect, and Machine Learning & Data Analytics. I have also presented research at ICITSM 2025.

    I am Manikanta Kumar Thontepu, a Technical Trainer with 2.5+ years of experience in Data Analytics and technical education, including roles as Data Analyst at Aditya Innovation Centre and Axion Ray. I currently teach AI, Machine Learning, Data Science, Scala for Data Science, AI for Business, AIML for Finance, AI-enabled HRM & People Analytics, and related laboratory courses. My expertise includes Python, SQL, Data Analytics, Machine Learning, Deep Learning, NLP, Power BI, Excel, Scala, and Vibe Coding. I have mentored 500+ students, developed AI/ML solutions, built Power BI dashboards, and worked on academic data analytics. My certifications include Pearson IT Specialist – Python, AWS Cloud Practitioner, Cloud & DevOps, GitHub Foundations, Azure AI Engineer, Google Cloud Architect, and Machine Learning & Data Analytics. I have also presented research at ICITSM 2025.

    maninder
    Mr. Maninder Singh

    Technical Trainer

    My name is Maninder Singh, and I am currently working as a Technical Trainer. I have over two years of combined professional experience, including one year of corporate industry experience and one year of academic teaching experience. I currently teach C Programming, Python Programming, and Machine Learning, helping students build strong programming fundamentals and practical AI/ML skills. My primary area of specialization is Python and Artificial Intelligence/Machine Learning, which enables me to provide comprehensive training in data-driven problem solving and intelligent systems development.Additionally, I am proficient in guiding students through real-world projects, from problem framing to model deployment, using tools such as Pandas, NumPy, Scikit-learn, and Matplotlib. I am currently pursuing my M.Tech in Artificial Intelligence & Data Science to further deepen my expertise in the field. My objective is to equip students with practical technical skills, analytical thinking, and industry-relevant knowledge to help them excel in their academic and professional journeys.

    My name is Maninder Singh, and I am currently working as a Technical Trainer. I have over two years of combined professional experience, including one year of corporate industry experience and one year of academic teaching experience. I currently teach C Programming, Python Programming, and Machine Learning, helping students build strong programming fundamentals and practical AI/ML skills. My primary area of specialization is Python and Artificial Intelligence/Machine Learning, which enables me to provide comprehensive training in data-driven problem solving and intelligent systems development.Additionally, I am proficient in guiding students through real-world projects, from problem framing to model deployment, using tools such as Pandas, NumPy, Scikit-learn, and Matplotlib. I am currently pursuing my M.Tech in Artificial Intelligence & Data Science to further deepen my expertise in the field. My objective is to equip students with practical technical skills, analytical thinking, and industry-relevant knowledge to help them excel in their academic and professional journeys.

    aslam
    Mr. Mohammad Aslam

    Technical Trainer

    My name is Mohammad Aslam, and I am currently working as a Technical Trainer at Geeta University, Panipat, Haryana. I have more than 11 years of professional and teaching experience in the field of software development and technical training. I have worked as a Java Developer and Java Corporate Trainer, and have conducted numerous technical training programs and workshops for universities and engineering colleges across India.I am also pursuing a Ph.D. in Computer Science with a research focus in the Cloud Computing domain. My professional interests include programming, cloud computing, artificial intelligence, and secure computing.

    My name is Mohammad Aslam, and I am currently working as a Technical Trainer at Geeta University, Panipat, Haryana. I have more than 11 years of professional and teaching experience in the field of software development and technical training. I have worked as a Java Developer and Java Corporate Trainer, and have conducted numerous technical training programs and workshops for universities and engineering colleges across India.I am also pursuing a Ph.D. in Computer Science with a research focus in the Cloud Computing domain. My professional interests include programming, cloud computing, artificial intelligence, and secure computing.

    paras-jangid
    Mr. Paras Jangid

    Technical Trainer

    Paras Jangid is a Technical Trainer (Cybersecurity) at Geeta University, with 4+ years of experience in cybersecurity training, ethical hacking, digital forensics, OSINT, cyber threat intelligence, and network security. He is a Master Trainer associated with CDAC, MeitY, Government of India, and has trained students and professionals through hands-on, industry-oriented cybersecurity programs. His expertise includes DFIR, SOCMINT, online profiling, incident reporting, malware analysis, and cybercrime investigation. He contributes to cybersecurity education, technical skill development, hackathons, industry initiatives, and career readiness at the University. He holds certifications including CHFI, CDFA, CEH, MCYSA, and Google Cybersecurity.

    Paras Jangid is a Technical Trainer (Cybersecurity) at Geeta University, with 4+ years of experience in cybersecurity training, ethical hacking, digital forensics, OSINT, cyber threat intelligence, and network security. He is a Master Trainer associated with CDAC, MeitY, Government of India, and has trained students and professionals through hands-on, industry-oriented cybersecurity programs. His expertise includes DFIR, SOCMINT, online profiling, incident reporting, malware analysis, and cybercrime investigation. He contributes to cybersecurity education, technical skill development, hackathons, industry initiatives, and career readiness at the University. He holds certifications including CHFI, CDFA, CEH, MCYSA, and Google Cybersecurity.

    pulkit-rajput
    Mr. Pulkit Rajput

    Technical Trainer

    I have experience in teaching and technical training, with a strong focus on Computer Science, Programming, Data Structures, Algorithms, and Mathematics. I have taught undergraduate students and guided them in developing programming, problem-solving, and analytical skills.My areas of expertise include Data Structures and Algorithms, Competitive Programming, Object-Oriented Programming, Java, C++, Problem Solving, and Algorithmic Thinking. I also have a strong academic and teaching background in Mathematics.I have professional experience in software development as well as technical training. My software development experience includes working with Java, Spring Boot, Python, React, and REST APIs. I have also worked on backend API development and automation/scripting tasks.

    I am passionate about helping students build strong programming fundamentals, develop logical problem-solving abilities, and apply concepts through practical coding and problem-solving.

    I have experience in teaching and technical training, with a strong focus on Computer Science, Programming, Data Structures, Algorithms, and Mathematics. I have taught undergraduate students and guided them in developing programming, problem-solving, and analytical skills.My areas of expertise include Data Structures and Algorithms, Competitive Programming, Object-Oriented Programming, Java, C++, Problem Solving, and Algorithmic Thinking. I also have a strong academic and teaching background in Mathematics.I have professional experience in software development as well as technical training. My software development experience includes working with Java, Spring Boot, Python, React, and REST APIs. I have also worked on backend API development and automation/scripting tasks.

    I am passionate about helping students build strong programming fundamentals, develop logical problem-solving abilities, and apply concepts through practical coding and problem-solving.

    rammohan-dixit
    Mr. Ram Mohan Dixit

    Technical Trainer

    My name is Ram Mohan Dixit, and I am currently working as a Technical Trainer. I have over three years of professional experience in technical training and skill development. I currently teach both Front-End Development and Back-End Development, helping students gain practical knowledge of modern web technologies. My primary area of specialization is the MERN Stack—MongoDB, Express.js, React.js, and Node.js—which enables me to provide comprehensive training in Full-Stack Web Development.Additionally, I am proficient in teaching Artificial Intelligence concepts and tools. I also specialize in placement-oriented training, including technical interview preparation, aptitude development, resume building, mock interviews, and preparing students according to current industry requirements. My objective is to equip students with practical technical skills, confidence, and professional knowledge to improve their career and placement opportunities.

    My name is Ram Mohan Dixit, and I am currently working as a Technical Trainer. I have over three years of professional experience in technical training and skill development. I currently teach both Front-End Development and Back-End Development, helping students gain practical knowledge of modern web technologies. My primary area of specialization is the MERN Stack—MongoDB, Express.js, React.js, and Node.js—which enables me to provide comprehensive training in Full-Stack Web Development.Additionally, I am proficient in teaching Artificial Intelligence concepts and tools. I also specialize in placement-oriented training, including technical interview preparation, aptitude development, resume building, mock interviews, and preparing students according to current industry requirements. My objective is to equip students with practical technical skills, confidence, and professional knowledge to improve their career and placement opportunities.

    ronak-duggar
    Mr. Ronak Duggar

    Technical Trainer

    I am Ronak Duggar, Technical Trainer at Geeta Technical Hub, Geeta University, with 6+ years of experience in technical training and full-stack development, having trained 1000+ students globally. I teach Front End Development, Back End Development, and Seminar & Project classes, specializing in Full Stack Web Development, AI/ML, Geospatial GIS, IoT & Hardware Systems, and Academic Leadership. I serve as IEEE, Innovation, and IPR Cell Coordinator, and Session Chair at ICCSM-2025 & INCSTIC-2025, and hold 13 patents, 5 international book chapters, 7 conference papers, and 9 Scopus publications with 131 citations. More information is available at ronakduggar.com.

    I am Ronak Duggar, Technical Trainer at Geeta Technical Hub, Geeta University, with 6+ years of experience in technical training and full-stack development, having trained 1000+ students globally. I teach Front End Development, Back End Development, and Seminar & Project classes, specializing in Full Stack Web Development, AI/ML, Geospatial GIS, IoT & Hardware Systems, and Academic Leadership. I serve as IEEE, Innovation, and IPR Cell Coordinator, and Session Chair at ICCSM-2025 & INCSTIC-2025, and hold 13 patents, 5 international book chapters, 7 conference papers, and 9 Scopus publications with 131 citations. More information is available at ronakduggar.com.

    satheesh
    Mr. Sai Satheesh

    Technical Trainer

    Sri Sai Sateesh Chandra Ravula is a Technical Trainer specializing in Artificial Intelligence and Machine Learning. He has experience as a Generative AI Intern at ToriMinds and Technical Hub. His areas of expertise include Machine Learning, Natural Language Processing (NLP), OpenCV, AI for BBA, Statistical Modelling, and Data Reasoning. He holds several global certifications, including Microsoft Azure AI Engineer Associate, GitHub Administration, Oracle Certified Generative AI Professional, Oracle Certified Generative AI Associate, Oracle AI Foundations Associate, and Dell Technologies Generative AI Foundations. He is passionate about empowering students with practical, industry-relevant AI and data-driven skills.

    Sri Sai Sateesh Chandra Ravula is a Technical Trainer specializing in Artificial Intelligence and Machine Learning. He has experience as a Generative AI Intern at ToriMinds and Technical Hub. His areas of expertise include Machine Learning, Natural Language Processing (NLP), OpenCV, AI for BBA, Statistical Modelling, and Data Reasoning. He holds several global certifications, including Microsoft Azure AI Engineer Associate, GitHub Administration, Oracle Certified Generative AI Professional, Oracle Certified Generative AI Associate, Oracle AI Foundations Associate, and Dell Technologies Generative AI Foundations. He is passionate about empowering students with practical, industry-relevant AI and data-driven skills.

    shishupal
    Mr. Shishupal

    Technical Trainer

    Technical Trainer and Full Stack Developer with 3+ years of experience in Full Stack(MERN) development, technical training, and industry-oriented education. Experienced in delivering hands-on training in Python, Java, C/C++, MERN Stack, Flutter, and Android Development through practical, real-world projects. Previously I was in GLA University, where I contributed to technical training and student skill development. Skilled in developing scalable applications, mentoring learners, and designing job-oriented training programs focused on practical implementation, problem-solving, and industry readiness

    Technical Trainer and Full Stack Developer with 3+ years of experience in Full Stack(MERN) development, technical training, and industry-oriented education. Experienced in delivering hands-on training in Python, Java, C/C++, MERN Stack, Flutter, and Android Development through practical, real-world projects. Previously I was in GLA University, where I contributed to technical training and student skill development. Skilled in developing scalable applications, mentoring learners, and designing job-oriented training programs focused on practical implementation, problem-solving, and industry readiness

    shivam
    Mr. Shivam

    Technical Trainer

    Experienced in delivering practical, project-based training in Web Development and Full Stack technologies, with a focus on hands-on learning and industry-oriented development practices.3 years of professional experience as an Associate Software Engineer at Commercev3, specializing in e-commerce web application development.Frontend Development, HTML, CSS, JavaScript, React, and Full Stack Web Development.MERN Stack Development, Frontend Development, Full Stack Web Applications, E-commerce Web Applications, and Industry-Oriented Technical Training.Student mentoring, practical coding, project development, problem-solving, and placement-oriented technical training

    Experienced in delivering practical, project-based training in Web Development and Full Stack technologies, with a focus on hands-on learning and industry-oriented development practices.3 years of professional experience as an Associate Software Engineer at Commercev3, specializing in e-commerce web application development.Frontend Development, HTML, CSS, JavaScript, React, and Full Stack Web Development.MERN Stack Development, Frontend Development, Full Stack Web Applications, E-commerce Web Applications, and Industry-Oriented Technical Training.Student mentoring, practical coding, project development, problem-solving, and placement-oriented technical training

    samarth
    Samarth Gautam

    Technical Trainer

    I am a Technical Project & Program Management professional with experience across government projects, EdTech, technical training, IoT, robotics, embedded systems, and software development. I specialize in project execution, team leadership, stakeholder management, technical training, and operational excellence. I managed government and IIT Mandi–associated initiatives, including MeitY and Skill India programs. My technical expertise includes C, C++, Java, Embedded C, DSA, IoT, Robotics, RPA, Arduino, Linux, and software development tools. I also bring experience in course development, public speaking, process optimization, and technology-event management, combining technical knowledge with strong leadership and execution capabilities.

    I am a Technical Project & Program Management professional with experience across government projects, EdTech, technical training, IoT, robotics, embedded systems, and software development. I specialize in project execution, team leadership, stakeholder management, technical training, and operational excellence. I managed government and IIT Mandi–associated initiatives, including MeitY and Skill India programs. My technical expertise includes C, C++, Java, Embedded C, DSA, IoT, Robotics, RPA, Arduino, Linux, and software development tools. I also bring experience in course development, public speaking, process optimization, and technology-event management, combining technical knowledge with strong leadership and execution capabilities.

    kartavya
    Mr. Kartavya Baluja

    AI Trainer

     Experience in AI engineering, Generative AI, Agentic AI, LLMs, RAG, and Machine Learning; currently teaching and mentoring students in Generative AI and Agentic AI.Generative AI, Agentic AI, LLMs, RAG, Prompt Engineering Area of Expertise: LLMs, RAG, Agentic AI, NLP, Machine Learning, LangChain, LangGraph, Azure AI, and AI application development Achievements/Certifications: Published research on Interpretable ML; Microsoft Certified Azure AI Engineer Associate and Oracle AI Vector Search Certified Professional. 

     Experience in AI engineering, Generative AI, Agentic AI, LLMs, RAG, and Machine Learning; currently teaching and mentoring students in Generative AI and Agentic AI.Generative AI, Agentic AI, LLMs, RAG, Prompt Engineering Area of Expertise: LLMs, RAG, Agentic AI, NLP, Machine Learning, LangChain, LangGraph, Azure AI, and AI application development Achievements/Certifications: Published research on Interpretable ML; Microsoft Certified Azure AI Engineer Associate and Oracle AI Vector Search Certified Professional. 

    jaid
    Mr. Mohamad Jaid

    AI Trainer

    Teaching/Professional Experience: Experience in teaching and training in Artificial Intelligence, Machine Learning, Generative AI, and related technologies. Subjects/Courses currently being taught: Artificial Intelligence 
    Relevant achievements, certifications, research work, or other professional details: Hands-on experience in AI/ML project development, Generative AI and Agentic AI applications, AI-enabled educational solutions, and practical training/workshops in emerging AI technologies.

    Teaching/Professional Experience: Experience in teaching and training in Artificial Intelligence, Machine Learning, Generative AI, and related technologies. Subjects/Courses currently being taught: Artificial Intelligence 
    Relevant achievements, certifications, research work, or other professional details: Hands-on experience in AI/ML project development, Generative AI and Agentic AI applications, AI-enabled educational solutions, and practical training/workshops in emerging AI technologies.

    yash
    Mr. Yash

    IOT Trainer

    I am working as an IoT Trainer with hands-on experience in IoT, Robotics, Arduino, ESP32, Electronics, and Automation. I focus on practical and project-based learning, helping students understand technology through real-world applications. I have conducted workshops, guided student projects, and contributed to innovation activities and technical events.

    I am working as an IoT Trainer with hands-on experience in IoT, Robotics, Arduino, ESP32, Electronics, and Automation. I focus on practical and project-based learning, helping students understand technology through real-world applications. I have conducted workshops, guided student projects, and contributed to innovation activities and technical events.

    WhatsApp Image 2026-06-18 at 12.55.21
    Ms. Rakhi Chauhan

    Assistant Professor

    Ms. Rakhi Chauhan is an Assistant Professor and PhD researcher specializing in Deep Learning, CNN Benchmarking, Fake Face Detection. She has authored 10+ research papers and 20+ book chapters published in reputed journals, conferences, and edited volumes.

    Ms. Rakhi Chauhan is an Assistant Professor and PhD researcher specializing in Deep Learning, CNN Benchmarking, Fake Face Detection. She has authored 10+ research papers and 20+ book chapters published in reputed journals, conferences, and edited volumes.

    Richa Jain (Custom)
    Ms. Richa Jain

    Assistant Professor

    Published Research Papers in Computer Science; Focused on innovative teaching and academic excellence.

    Published Research Papers in Computer Science; Focused on innovative teaching and academic excellence.

    WhatsApp Image 2026-06-18 at 12.55.20 (1)
    Ms. Radha Gautam

    Assistant Professor

    Ms. Radha Gautam is an Assistant Professor with expertise in Computer Science and Engineering. She is dedicated to teaching, research, and academic excellence, with interests in emerging technologies, artificial intelligence, and software development. She has contributed to scholarly research through publications and actively participates in academic and professional development activities. Her commitment to student learning and innovation makes her a valuable contributor to higher education.

    Ms. Radha Gautam is an Assistant Professor with expertise in Computer Science and Engineering. She is dedicated to teaching, research, and academic excellence, with interests in emerging technologies, artificial intelligence, and software development. She has contributed to scholarly research through publications and actively participates in academic and professional development activities. Her commitment to student learning and innovation makes her a valuable contributor to higher education.

    Virtual Campus Tour

    SCHOLARSHIPS AT GEETA UNIVERSITY

    We believe that financial constraints should not limit access to quality education. At Geeta University, we offer scholarships based on:

    • ■ Merit/Percentage in Qualifying Exams
    • ■ National Level Entrance Exams (JEE, CUET, NEET, CLAT, and more)
    • ■ Social Responsibility
    • ■ Sports Performance    

    GUTS

    GEETA UNIVERSITY TEST OF SCHOLARSHIP
    Geeta University (GU) strongly believes that monetary constraints should not be an obstacle for a student to have access to quality education. Following scholarships are offered at GU:

    Student Testimonial

    Student Testimonial

    Highlights of Our Learning Spaces

    Career Opportunities after B.Tech Computer Science and Engineering

    The B.Tech Computer Science and Engineering offers excellent placement support with top corporate tie-ups.

    Top Job Roles

    • Software Developer
    • Web & App Developer
    • Machine Learning Engineer
    • AI Specialist
    • Data Analyst / Data Scientist
    • Network Engineer
    • Cyber Security Analyst
    • Cloud Architect
    • System Engineer

    Top Recruiters includes:

    • Infosys
    • Wipro
    • IBM
    • TCS
    • HCL
    • Amazon
    • Capgemini
    • Accenture
    Reasons to choose Geeta University for B Tech Computer Science and Engineering Program

    The B Tech Computer Science and Engineering at Geeta University, one of the best universities in North India, provides both theoretical and practical knowledge. This course offers training on the latest technologies, coding languages, software development, and systems engineering. 

    Learners can gain from internships, projects, and industry collaborations at the university. A computer science and engineering program at Geeta University helps develop skills like problem-solving and analytical thinking in the tech industry. A computer science and engineering degree helps students make a career in the field of computer science and engineering. The university also has tie-ups with top companies, ensuring placements for students.

    40 LPA

    HIGHEST PACKAGE

    550+

    RECRUITERS

    3500+

    JOB OFFERS

    Frequently Asked Questions

    Find answers to common questions about eligibility, courses, placements, and campus facilities.

    The School currently lists B.Tech. Hons. CSE with specializations including Computer Science & Engineering, Artificial Intelligence & Machine Learning, Cyber Security, Data Science & Business Analytics with HCL, Full Stack Web Development, Quantum Computing and NIAT Upskilling; BCA pathways including Computer Applications, AI & ML, Cyber Security and Data Science & Business Analytics; M.Tech. CSE; MCA; and Ph.D. programmes in Computer Applications and CSE.

    Applicants must have passed 10+2 with Physics and Mathematics as compulsory subjects, along with one of the specified subjects such as Chemistry, Computer Science, Electronics, Information Technology, Biology, Informatics Practices, Biotechnology, Technical Vocational subject, Agriculture, Engineering Graphics, Business Studies or Entrepreneurship, with at least 55% marks. Students from the D.Voc. stream may also be eligible with 55% marks in the same or allied sector.

    Yes. Eligibility specifically requires Physics and Mathematics at the 10+2 level.

    Yes. Students who have passed the D.Voc. stream with at least 55% marks in the same or an allied sector may be eligible.
    10+2 or equivalent with at least 50% marks, or a Diploma in Commercial Practice or equivalent with at least 50% marks.

    The School's programme information does not impose the same Physics-and-Mathematics requirement as B.Tech. CSE. Students should, however, verify the current programme-specific eligibility before applying.

    Applicants should have a graduation degree such as B.E./B.Tech., B.Sc., B.Com., B.A., B.Voc. or BCA with at least 50% marks. Mathematics at 10+2 or graduation level is preferred; students without a mathematics background may have to qualify a compulsory mathematics course under University norms
    Applicants should have a B.Tech. in a relevant stream, M.Sc.-IT, MCA or equivalent qualification with at least 50% marks in the qualifying examination.

     A relevant master's degree with at least 55% marks is required to be eligible for Ph.D. programmes in the School.

    B.Tech. CSE is a four-year engineering programme built around deeper computer science and engineering foundations, while BCA is a three/four-year computer applications degree with a more application-oriented structure. Both offer exposure to contemporary areas such as AI, cybersecurity and data-related technologies, but their academic routes and eligibility requirements differ.

    The specializations include Computer Science & Engineering, Artificial Intelligence & Machine Learning, Cyber Security, Data Science & Business Analytics with HCL, Full Stack Web Development, Quantum Computing and NIAT Upskilling.

    BCA in Computer Applications, Artificial Intelligence & Machine Learning, Cyber Security and Data Science & Business Analytics are available within the school.

    AI & ML is suited to students interested in intelligent systems, automation and predictive models; Data Science suits students interested in data analysis and insight generation; Cyber Security suits students interested in digital protection, risk and security; and Full Stack Development suits students who want to build end-to-end web applications.

    Yes. Core areas of Curriculum include programming, data structures and algorithms, operating systems, databases, software engineering, computer networks, cloud fundamentals, web and mobile development and IoT.

    The programming exposure includes C, C++, Java and Python, with additional technologies depending on the selected programme or specialisation.

    Yes. AI & ML is offered as a dedicated specialisation, and the School highlights areas such as machine learning, deep learning, neural networks, computer vision, robotics, natural language processing and predictive analytics.

    The students will learn software development security, network security, risk management and compliance, cryptography, information security, security architecture, ethical hacking and digital-forensics-oriented areas.

    The pathway combines programming and data-oriented skills with analytics. The School highlights data frames, Python for data science, R programming, core programming principles and analytics-oriented learning.

    This specialization covers web-development fundamentals, HTML/CSS, JavaScript, advanced JavaScript and CSS-based web applications, with the wider curriculum supporting end-to-end software and web development.
    It combines computer science with quantum computing and related mathematics and physics. The programme highlights quantum mechanics for computing, quantum algorithms, quantum programming, quantum cryptography, quantum machine learning, quantum hardware and architectures, simulations and an industry-based quantum innovation lab.

    Yes. The M.Tech. programme covers areas such as advanced programming, data structures and algorithms, operating systems, databases, computer networks, cloud fundamentals, IoT, cyber law basics, web/mobile development and an industry internship or capstone project.

    MCA focuses on application development, system design and data analytics, with programme areas including advanced programming, databases, web technologies, operating systems, software engineering, AI & ML, cloud computing, big data tools, UI/UX and IoT, along with industry internship.

    The School presents a strong practical orientation alongside conceptual learning. It focuses on projects, internships, hackathons, coding practice, certification tracks, industry tools, technical training and the Geeta Technical Hub.

    Yes. Real-world projects, project-based learning, internships, industry collaborations and practical training are important components of its approach.

    Yes. Industry internships are explicitly included in the B.Tech. CSE, M.Tech. CSE and MCA programme structures, while the School also highlights internships more broadly as part of industry-oriented learning.

    Industry internship is included after Semester 2, providing an early opportunity to connect academic learning with workplace experience.

    The School promotes a skill development eco-system through hackathons, DSA and competitive coding, logic-building activities, problem-solving techniques, coding profiles and competitive programming.

    The Geeta Technical Hub is part of the University's wider ecosystem supporting advanced technology, certifications and industry skills. It is linked with coding, technical training and emerging-technology skill development.

    The School highlights Drive Ready Tracks covering areas such as MEAN/MERN Stack, PHP & MySQL, Python Development, Cyber Security Fundamentals, Artificial Intelligence and Machine Learning, designed to build practical skills relevant to technology roles.
    Certification tracks are associated with Amazon AWS, Red Hat, Cisco, HubSpot, GitHub, Oracle and Microsoft Azure. The exact certifications available to a student may depend on the programme and current certification track.

    The School highlights certification tracks, but the exact inclusion, certification provider, examination charges and fee coverage can vary by programme or training model. Students should confirm the current terms with the School or admissions team.

    Yes. The School highlights tool-integrated learning, certification tracks, industry-oriented training, technical hub support and emerging technologies including cloud, cybersecurity, AI, data science and full-stack development.

    Projects, internships, coding practice, technical tracks, certifications and industry exposure help students build demonstrable skills and portfolio experience that can be discussed during technical assessments and interviews.

    Career pathways include software development, web and app development, machine learning, AI, data analysis and data science, networking, cybersecurity, cloud architecture and systems engineering, depending on the student's skills and specialisation.

    BCA graduates can pursue roles such as software developer, web developer, database administrator, system analyst, IT support, QA and front-end or back-end development, or continue to higher studies.

    Yes. The School presents BCA as a foundation for higher studies such as MCA and further specialisation in areas including AI, data science and cybersecurity.

    The programme supports advanced technical and research-oriented pathways, including roles in R&D, cloud architecture, cybersecurity and intelligent systems, as well as further research and doctoral study.

    Yes. Computer science skills are applicable across sectors such as finance, healthcare, telecommunications, automotive, aerospace, e-commerce and other technology-enabled industries.

    Yes. A strong CSE foundation can lead toward AI-related roles, particularly when students build additional skills through projects, certifications, electives and specialised training. The School also offers AI & ML as a dedicated specialization for students who want deeper structured exposure.

    Recruiters and technology organizations include TCS, Infosys, Wipro, IBM, HCL, Amazon, Capgemini, Accenture, Tech Mahindra, Cognizant, Deloitte and others.

    Yes. Placement support is highlighted by the School, alongside interview preparation, industry interaction, internships, technical training and career-readiness activities.

    Yes. ₹40 LPA is the highest package secured by a CSE student, and placement stats 550+ recruiters and 3,500+ job offers pertains to the University-wide data.

    No placement outcome should be interpreted as an individual guarantee. Career outcomes depend on the student's technical skills, academic performance, projects, interview performance, recruiter requirements and available roles.

    The major skills recruiters typically look for in CSE students are programming, data structures and algorithms, problem-solving, project experience, domain skills, technical certifications, communication and the ability to apply technology to real-world problems.
    The School has faculty with expertise across computer science and emerging technologies. Its mentor profiles include specialists in AI, machine learning, cloud computing, recommender systems, deep learning and related research areas.

    Faculty profiles highlight areas such as AI, machine learning, cloud computing, recommender systems, deep learning and related research. Most faculty members also have publications, patents and research experience.

    Yes. The School's learning model is designed to build technical skills progressively through programming, DSA, projects, coding practice, technical training and supportive faculty guidance. Students do not need advanced coding expertise before starting, although willingness to learn is important.

    The School combines academic foundations with practical projects, internships, coding and DSA training, industry certification tracks, drive-ready modules, communication support, industry interaction and placement preparation.
    Advanced laboratories, technology-enabled classrooms, practical learning spaces are part of technical infrastructure designed to support programming, projects and emerging-technology learning.

    A laptop is highly useful for programming, project work, online tools and certification-based learning.

    The School highlights coding ecosystems, DSA and competitive coding, logic-building, problem-solving, coding profiles and competitive programming activities.

    Yes. Students do get exposure to emerging technologies such as AI, machine learning, cybersecurity, data science, cloud technologies, full-stack development and quantum computing through specialisations and skill-development tracks
    The project-based and practical learning approach provides opportunities to build projects, technical work and other demonstrable outputs. Students can use these experiences to develop a portfolio alongside their academic qualification.

    Yes. Research is visible through faculty publications, patents, doctoral programmes, research-oriented postgraduate study, project work and emerging technology areas.

    Yes. Students who meet the applicable doctoral eligibility requirements can pursue Ph.D. study. The School offers Ph.D. pathways in Computer Science & Engineering and Computer Applications.

    The School encourages research activity and highlights faculty expertise in publications and patents. Students can explore research projects, conferences and innovation activities under appropriate faculty guidance.

    Yes. The Quantum Computing pathway is explicitly described as industry- and research-oriented and includes quantum algorithms, quantum programming, quantum cryptography, quantum machine learning, quantum hardware and simulation.

    Both can lead to software and technology careers, but they are different academic routes. B.Tech. CSE is an engineering degree with deeper computer science and engineering foundations and a Physics-and-Mathematics-based entry requirement. BCA is a computer applications degree with a more application-oriented route.

    Yes. Students can develop coding ability progressively through programming courses, DSA, practical assignments, projects, coding activities and faculty support. A genuine interest in technology and consistent practice are more important than already being an advanced coder.

    The strongest choice is the one that matches the student's interests and willingness to build deep skills.

    Yes. CSE graduates can pursue careers in areas such as data analysis, cybersecurity, cloud, systems, AI, technical consulting, product roles, research and other technology functions where programming may be one component rather than the entire job.

    Parents should look beyond the degree title and compare curriculum depth, practical exposure, internships, project opportunities, faculty support, industry certifications, emerging-technology exposure, placement preparation and the student's own interests and aptitude.

    The B.Tech. CSE programme is of four years, comprising eight semesters.

    The BCA programme is listed as a three/four-year degree, depending on the applicable degree pathway.

    Both MCA and M.Tech. CSE are listed as two-year postgraduate programmes.
    Computer science skills can lead to careers across software development, AI, machine learning, data science, cybersecurity, cloud computing, web and mobile development, systems, research and technology-enabled roles across multiple industries.

    Specializations, certification tracks, drive-ready tracks, milestone activities and multi-skill development, gives students multiple ways to build a profile around their preferred technology domain.

    Legacy & Ecosystem

    Founded in 1985, the Geeta Group of Institutions has emerged as a major educational hub with institutions spanning school education to doctoral programs. SPBSB benefits from the integrated ecosystem of:

    Geeta University

    AI-enabled multidisciplinary campus

    Geeta Finishing School (GFS)

    Communication & Corporate Readiness

    Geeta Technical Hub (GTH)

    Advanced Technology, Certifications, and Industry Skills

    Geeta Group Campus