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B.Tech. (H) CSE – Data Science & Business Analytics with HCL

Program

B.Tech (Hons) in CSE with specialization in Data Science & Business Analytics with HCL

Duration

4 Years ( 8 Semesters )

Eligibility

10+2 with Physics and Mathematics + one subject from Chemistry, CS, Electronics, IT, etc. with 55% marks or 55% in D.Voc. stream in allied fields.

B.Tech (Hons) in CSE with specialization in Data Science & Business Analytics with HCL

Data Science and Analytics is a new, rapidly growing field that comprises a set of tools and techniques for extracting useful information from data. The program encompasses Data Science as an interdisciplinary, problem-solving-oriented specialisation that learns to apply scientific techniques to practical issues.

The B.Tech. Data Science & Business Analytics with HCL course curriculum involves a blend of data inference, algorithm development, and technology to analytically solve complex problems. The programme imparts a confluence of skills in three major areas of mathematical expertise, technology hacking skills, and business strategy and acumen. 

The B.Tech. Data Science & Business Analytics degree at Geeta University serves as the backbone of this data revolution. Data Science emphasizes extracting actionable insights via advanced statistical procedures, algorithms, and machine learning models. Business Analytics implements these insights to solve specific business concerns, improve efficiency, and inform strategic decisions. Coming together, they form a powerful combination that empowers businesses to be better, faster, and more future-ready.

Program Structure
  • Data Wrangling & Preprocessing
  • Applied Statistics & Probability
  • Machine Learning for Business
  • SQL, Python & R for Data Science
  • Business Intelligence Tools (Power BI, Tableau)
  • Time Series & Predictive Analytics
  • Data Visualization & Storytelling
  • Big Data Ecosystems (Hadoop, Spark)
  • Optimization Models for Decision Making
  • Industry Analytics Capstone
Learning Outcomes
  • Handle large volumes of structured/unstructured data
  • Develop predictive models for business forecasting
  • Create dashboards for real-time decision making
  • Solve complex business problems using AI and ML
  • Effectively communicate data-driven insights
What is a B.Tech. Data Science & Business Analytics?

Data science is an interdisciplinary field that utilises scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. This mixes elements of statistics, computer science, and field expertise to enable data-driven decision-making. Basically, a data scientist knows how to do complex data analysis, turn raw data into knowledge that can be used, and use advanced methods to find patterns and trends that are hidden in data. Data science is an important part of modern business intelligence (BI) because its main goal is to use data to solve hard business problems.

Why is Data Science Important in the Modern World?

In a virtual world that is always changing, data science is very important. Businesses are creating huge amounts of data, and being able to quickly look into and understand this data is important for staying ahead of the competition. 

By conducting predictive models and accurate data analysis, data science gives businesses the tools they need to make smart business decisions, improve processes, and find new opportunities. This discipline is crucial for knowing client behaviour, forecasting market trends, and driving strategic business initiatives, making it an indispensable asset across various industries.

B.Tech. Data Science & Business Analytics Scope

There is a massive scope for candidates who want to shape their career in Data Science and Business Analytics. The B.Tech. Data Science & Business Analytics program has been designed for students to facilitate the learning of several disciplines, including statistics, data analysis, machine learning, and computer science, required for a data-driven world. It is geared towards helping individuals and organizations make better decisions from stored, consumed, and managed data. 

After completing a B.Tech. Data Science & Business Analytics course, there are a lot of career opportunities like Data Engineer, Associate Data Analyst, Junior Data Analyst, Machine Learning Engineer, and Associate Business Analyst, etc.

B.Tech. Data Science & Business Analytics Geeta University Admission Process
  • BTech Data Science Eligibility Criteria: For admission in the data science and business analytics colleges, applicants must have completed 10+2 with Physics and Mathematics + one subject from Chemistry, CS, Electronics, IT, etc. with 55% marks or 55% in D.Voc. stream in allied fields.
Why Choose Geeta University for a B.Tech. Data Science & Business Analytics Degree Program?

Geeta University is one of the greatest places to study a B.Tech. Data Science & Business Analytics course because it offers a complete education that is useful in the field. With its focus on hands-on learning, cutting-edge facilities, and knowledgeable teachers, the university makes sure that students get real-life experience with big data and advanced analysis tools. 

Geeta University offers a strong learning setting that trains students to solve difficult business problems, whether they are in a graduate program in business analysis or data science. This commitment to greatness makes sure that grads have all the skills they need to do well as business analysts and data scientists.

Analytics Professionals and Their Role

The Qualities of a Skilled Data Analyst: 

A skilled and successful data analyst has a unique mix of technical knowledge, strong analysis skills, and good speaking abilities. A successful data analyst must be good at more than just data analysis, statistical modeling, and employing different tools to make sense of huge amounts of data. They are supposed to be naturally curious,  seeking insights, and solving difficult business problems. This is quite vital for thinking critically, paying attention to details, and turning complex facts into useful business intelligence. 

Strong skills in data visualization and being able to easily explain results to both technical and non-technical users are also needed to make smart business choices and help the company reach its strategic goals.

Role of Data Analysts in Businesses:

Data analysts play a vital role in businesses because they are the key link between raw data and useful business intelligence. The main role of a data analyst is to collect, handle, and analyze huge amounts of data in order to find current trends, patterns, and insights. Experts know how to use data science and business analytics to improve processes, measure success, and make smarter business choices. 

Data analysts use their skills in data mining and visualization to help companies understand how they did in the past, predict what will take place in the future, and solve difficult business problems. It improves efficiency and encourages growth driven by data across many departments and roles.

Future Trends for Analytics Specialists: 

The future is bright and promising for people who work in analytics, such as data scientists and business analysts. New software and a growing reliance on data will design the future. AI and ML are becoming more popular, indicating that people who work in analytics will need to learn more about advanced algorithms and predictive models. 

As organisations consider simpler,  easier ways to comprehend complex data, the requirement for people who can visualize it will continue to grow. This will additionally be crucial to use data in an ethical manner and keep it private. This means that analytics experts will have to know how to deal with regulations and do responsible data analysis.

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Degree Design

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.

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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:

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Highlights of Our Learning Spaces

Career Opportunities After BTech CSE in Data Science & Business Analytics

After this degree, you can explore roles like data scientist, analytics consultant, business intelligence analyst, data engineer, or predictive modeller in companies that rely on data for strategic decision-making

Top recruiters include:

  • Amazon
  • Fractal Analytics
  • Mu Sigma
  • EY
  • ZS Associates
  • Paytm
  • Deloitte
  • Tiger Analytics
  • TCS
  • Accenture
Why Choose Geeta University For a B.Tech. Data Science & Business Analytics Degree Program?

Geeta University is one of the greatest places to study a B.Tech. Data Science & Business Analytics course because it offers a complete education that is useful in the field. With its focus on hands-on learning, cutting-edge facilities, and knowledgeable teachers, the university makes sure that students get real-life experience with big data and advanced analysis tools. 

Geeta University offers a strong learning setting that trains students to solve difficult business problems, whether they are in a graduate program in business analysis or data science. This commitment to greatness makes sure that grads have all the skills they need to do well as business analysts and data scientists.

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