Best Engineering College in Haryana & Delhi NCR | Top University for CSE

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Building Intelligent Solutions. Shaping the Future.

  • Industry-oriented CSE programs with specializations in AI, Cyber Security, Data Science, and Cloud Computing.
  • Excellent placement support with 550+ recruiters and packages up to 40 LPA.
  • Practical learning through internships, live projects, certifications, and advanced tech labs.

Apply Now

Building Intelligent Solutions. Shaping the Future.

  • Industry-oriented CSE programs with specializations in AI, Cyber Security, Data Science, and Cloud Computing.
  • Excellent placement support with 550+ recruiters and packages up to 40 LPA.
  • Practical learning through internships, live projects, certifications, and advanced tech labs.

Apply Now

School of Computer Science & Engineering

School of Computer Science & Engineering

Geeta University has emerged as the best CSE University in Panipat, Haryana offering cutting-edge programs and balancing innovation with industry relevance. Our B.Tech CSE curriculum is designed to equip students with in-demand & future-ready skills in AI, cybersecurity, cloud computing, and more.

Our expert faculty and world-class infrastructure have contributed greatly to helping us become the top B.Tech CSE University in Delhi NCR. In addition to providing hands-on learning, our strong industry collaborations and placement support, provide our students with a much-needed competitive edge in the tech world.

We are the preferred choice for students looking for the best university to study in Delhi NCR. We help open the doorways to professional success and growth in the ever-evolving digital landscape. Enrol now and shape your future with skill and excellence!

Geeta University has emerged as the best CSE University in Panipat, Haryana offering cutting-edge programs and balancing innovation with industry relevance. Our B.Tech CSE curriculum is designed to equip students with in-demand & future-ready skills in AI, cybersecurity, cloud computing, and more.

Our expert faculty and world-class infrastructure have contributed greatly to helping us become the top B.Tech CSE University in Delhi NCR. In addition to providing hands-on learning, our strong industry collaborations and placement support, provide our students with a much-needed competitive edge in the tech world.

We are the preferred choice for students looking for the best university to study in Delhi NCR. We help open the doorways to professional success and growth in the ever-evolving digital landscape. Enrol now and shape your future with skill and excellence!

  • To be a centre of excellence in computer science and engineering education, nurturing innovative engineers, technology leaders, researchers and entrepreneurs to meet the demands of digital transformation, emerging technologies and sustainable society and nation.

  • To impart student-centric and outcome based quality education for developing strong foundation in computer science and engineering, technology, innovation and entrepreneurship through enhanced learning and project based learning.
  • To produce competent graduates with strong fundamentals and ethics, and ability to apply knowledge to meet the challenges of professional career and for sustainable development of society and nation.
  • To promote research and innovation in areas like artificial intelligence, data science, cyber security, cloud computing, software engineering, internet of things and other allied areas to address real world problems.
  • To establish strategic collaborative partnerships with corporate bodies, research institutes, technology organisations and innovative ecosystems for internships, projects, industry trainings, research and professional skills development.
  • To develop future technology leaders, entrepreneurs and researchers who can lead, adopt and leverage disruptive technologies and solutions for transformation, sustainable growth and development while driving a culture of continuous learning and innovation.

Meet Our Mentors

Guiding Futures with Expertise, Experience & Empathy

kapil Saini
Dr. Kapil Saini

Head of Department, Ph.D.

Published 25+ Scopus/WoS Papers; Contributed 6 Book Chapters (Springer, Elsevier, Taylor & Francis, IGI Global); Holds 3 Patents (IoT-based Health Monitoring); Recognized with Best Teacher Award (2022); Expertise in AI, ML, Cloud Computing, Recommender Systems.

Published 25+ Scopus/WoS Papers; Contributed 6 Book Chapters (Springer, Elsevier, Taylor & Francis, IGI Global); Holds 3 Patents (IoT-based Health Monitoring); Recognized with Best Teacher Award (2022); Expertise in AI, ML, Cloud Computing, Recommender Systems.

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Ms. Rakhi Chauhan

Assistant Professor, M.Tech., Ph.D. (Pursuing)

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.

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Dr. Poonam

Associate Professor, Ph.D.

Dr. Poonam is a dedicated academician and dynamic social leader, currently serving as Associate Professor (CSE) at Geeta University and Founder of Knowledge Point Institute, Safidon. She has qualified NET and HTET and brings more than 14 years of rich teaching experience in higher education.
She has a strong research profile with 25+ research papers published in reputed journals and conferences, 5 patents published, and 2 books published/edited. She has delivered keynote talks, served as a reviewer in international conferences, and received several prestigious national and international academic excellence awards.
Alongside her academic excellence, Dr. Poonam is actively contributing to social leadership. She is presently President of JCI Safidon The Great, President of Lyness Club Safidon, and proudly holds the distinction of being the first Mahila Secretary of Haryana of Geo Geeta. Through her various roles, she continues to work passionately for youth development, women empowerment, and community service.

Dr. Poonam is a dedicated academician and dynamic social leader, currently serving as Associate Professor (CSE) at Geeta University and Founder of Knowledge Point Institute, Safidon. She has qualified NET and HTET and brings more than 14 years of rich teaching experience in higher education.
She has a strong research profile with 25+ research papers published in reputed journals and conferences, 5 patents published, and 2 books published/edited. She has delivered keynote talks, served as a reviewer in international conferences, and received several prestigious national and international academic excellence awards.
Alongside her academic excellence, Dr. Poonam is actively contributing to social leadership. She is presently President of JCI Safidon The Great, President of Lyness Club Safidon, and proudly holds the distinction of being the first Mahila Secretary of Haryana of Geo Geeta. Through her various roles, she continues to work passionately for youth development, women empowerment, and community service.

Richa Jain (Custom)
Ms. Richa Jain

Assistant Professor, M.Tech.

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.

vishal jain
Mr. Vishal Jain

Professor of Practice

Vishal Jain is the Founder of Samatrix Consulting Private Limited. He is an alumnus of IIT Kharagpur and IIM Ahmedabad with 20 Years of Industry experience with leading companies such as Tata Steel and Intel. Domain expertise includes Data Analytics, Machine Learning, Deep Learning, and Blockchain. He supports start-ups and seed funding ecosystem by investing in high-end technologies such as Artificial Intelligence, Blockchain, and Cloud Computing. He has rich experience in conducting seminars, corporate training, training for professionals, faculty development programs in Artificial Intelligence and Blockchain- IIT & IIM Alumni

Vishal Jain is the Founder of Samatrix Consulting Private Limited. He is an alumnus of IIT Kharagpur and IIM Ahmedabad with 20 Years of Industry experience with leading companies such as Tata Steel and Intel. Domain expertise includes Data Analytics, Machine Learning, Deep Learning, and Blockchain. He supports start-ups and seed funding ecosystem by investing in high-end technologies such as Artificial Intelligence, Blockchain, and Cloud Computing. He has rich experience in conducting seminars, corporate training, training for professionals, faculty development programs in Artificial Intelligence and Blockchain- IIT & IIM Alumni

sunny pathak
Mr. Sunny Pathak

Professor of Practice

Sunny Pathak is Co-Founder of Samatrix Consulting Private Limited. He is a former Business Consultant & Visualization expert and worked with prestigious companies like FICCI, MobiKwik, Samsung, DDB Mudra Group OMNICOM, INTEX & FRANCHISE INDIA REMAX LLC rich experience. He has worked extensively in domains such as Analytics Forecasting expert, Market Research, Brand positioning, Data strategies, Consumer behaviour Analytics and Pricing for clients in various sectors like Payment solution, E-commerce, Advertising Agency.

Sunny Pathak is Co-Founder of Samatrix Consulting Private Limited. He is a former Business Consultant & Visualization expert and worked with prestigious companies like FICCI, MobiKwik, Samsung, DDB Mudra Group OMNICOM, INTEX & FRANCHISE INDIA REMAX LLC rich experience. He has worked extensively in domains such as Analytics Forecasting expert, Market Research, Brand positioning, Data strategies, Consumer behaviour Analytics and Pricing for clients in various sectors like Payment solution, E-commerce, Advertising Agency.

Kartik Mathur.
Mr. Kartik Mathur

Professor of Practice

Academic Head and Founding Member of Coding Block Kartik is an NSUT graduate and an accomplished competitive programmer. He is also a full stack developer and a contributes to startups. He has trained more than 40000 students till date into various courses and his students can be found in Google, acbook, Amazon, Microsoft, Adobe and the like.

Academic Head and Founding Member of Coding Block Kartik is an NSUT graduate and an accomplished competitive programmer. He is also a full stack developer and a contributes to startups. He has trained more than 40000 students till date into various courses and his students can be found in Google, acbook, Amazon, Microsoft, Adobe and the like.

varun kohli
Mr. Varun Kohli

Professor of Practice

Varun, CEO, Coding Blocks, is a seasoned IT professional and serial entrepreneur having experience of developing and scaling large scale applications. He has piloted several startups and is an expert and in the EdTech domain.

Varun, CEO, Coding Blocks, is a seasoned IT professional and serial entrepreneur having experience of developing and scaling large scale applications. He has piloted several startups and is an expert and in the EdTech domain.

Jyoti
Ms. Jyoti

Assistant Professor

Cybersecurity professional combining industry, teaching, and research experience, with 3 publications and strong technical expertise.

Cybersecurity professional combining industry, teaching, and research experience, with 3 publications and strong technical expertise.

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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.

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Ronak Duggar

Trainer

Full Stack Developer, AI/ML Researcher, Technical Trainer, Innovator, and Emerging Scholar with 11 Publications, 7 Patents, and H-Index 6.

Full Stack Developer, AI/ML Researcher, Technical Trainer, Innovator, and Emerging Scholar with 11 Publications, 7 Patents, and H-Index 6.

Program Your Way To Excellence

Duration- 3/4 Years

Eligibility- Passed 10+2 examination with at least 50% marks. 

OR

Passed Diploma in Commercial Practice or equivalent with at least 50% marks.

    M.Tech. CSE (Computer Science & Engineering)

    Duration: 2 Years

    Eligibility: Passed B.Tech in relevant stream/M.Sc.-lT /MCA or equivalent. Obtained at least 50% marks in the qualifying examination. 

    MCA (Master of Computer Applications)

    Duration: 2 Years

    Eligibility: Passed any graduation degree (e.g.: B.E. / B.Tech./B.Sc. / B.Com. / B.A./ 8. Voe./ BCA etc.,) preferably with 

    Mathematics at 10+2 level or at Graduation level obtained at least 50% marks in the qualifying examination. 

    (For students having no Mathe_matics background, a compulsory mathematics course has to be qualified as 

    per the University Scheme). 


    Duration:  Minimum 3 Years

    Eligibility: Master’s in relevant field with a minimum of 55% marks.

    We Don't Just Educate
    We Transform Futures !


    Certification Tracks

    • Amazon AWS
    • RedHat
    • Cisco
    • HubSpot
    • GitHub
    • Oracle
    • Microsoft Azure.
    Drive Ready Tracks

    • MEAN/MERN Stack
    • PHP & MySQL
    • Python Development
    • Cyber Security Fundamentals
    • Artificial Intelligence
    • Machine Learning.
    DSA & Competitive Coding

    • Logic Building
    • Problem-Solving Techniques
    • Data Structure & Algorithms
    • Coding Profile on In-house Platform
    • Advanced Algorithms
    • Competitive Programming.
    Milestone Actions

    • G-connect
    • Alumni Connect
    • T Shaped Technocrat
    • Multi-Skill Development
    • Project Roundup
    • Techno Coders.

    GU New Age Specializations

    Artificial Intelligence & Machine Learning

    • Specialization in advanced machine learning areas like Computer Vision, Big Data, Robotics, etc.
    • Understanding artificial networks
    • Applications of deep learning in image recognition
    • Real world projects
    • AI & ML application competencies in data mining & progression analytics..

    Cyber Security

    • Software development security
    • Network security
    • Risk management and compliance
    • Cryptography
    • Cyber security regulation
    • Information security (INFOSEC)
    • Security architecture..

    Data Sciences & Business Analytics

    • Certified analytics professional
    • Data frames
    • Core programming principles
    •  Data science with R programming
    • Python for data science

    Full Stack Web Development

    • Basics of web development and coding
    • Introduction to HTML/CSS - creating web pages
    • JavaScript essentials
    • Advanced JavaScript
    • CSS fundamentals and web applications..

    Corporate Connect

    Center of Excellence

    COE-desktop (1)

    Center of Excellence

    COE-desktop (1)

    Student Testimonials

    Student Testimonials

    Highlights of Our Learning Spaces

    Pathway After Computer Science & Engineering

    Careers

    The booming IT sector in India has plenty of jobs for fresh computer science graduates. Besides, Computer Engineers have plenty of options to work in IT companies in departments such as design, development, assembly, manufacture, and maintenance, etc. Working as a programmer, web developer, and E-commerce specialist with telecommunications companies, automotive companies, aerospace companies , etc. can be a lucrative career option as well...

    Top Recruiters

    Top companies recruiting Computer Science Engineers include:

    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