What programs does Geeta University offer under its School of Computer Science and Engineering?

Geeta University offers B.Tech CSE, BCA, and MCA programs under its School of Computer Science and Engineering with specializations such as Cyber Security, Artificial Intelligence & Machine Learning, Cloud Computing, Data Science & Business Analytics, and more.

Does Geeta University provide hands-on training with real-world projects and industry tools?

Yes, Geeta University provides hands-on training through real-world projects and industry tools. Students also gain exposure through vocational courses such as Digital Marketing, Data Visualization, Data Analysis using Python, and Entrepreneurship & Family Business.

What placement opportunities does Geeta University offer after completing B.Tech CSE?

Geeta University offers strong placement support for B.Tech CSE students. Graduates have opportunities to work in IT companies across various departments including software design, development, assembly, manufacturing, testing, and maintenance.

Does Geeta University offer specializations like AI, Cyber Security, and Data Science?

Yes, Geeta University offers new-age specializations under Computer Science Engineering, including Artificial Intelligence, Machine Learning, Full Stack Web Development, Cyber Security, Data Science, and Business Analytics.

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

Q: How do I become eligible for admission in B.Tech CSE at Geeta University?

Students who have passed the 10+2 examination with Physics and Mathematics as compulsory subjects and one additional subject such as Chemistry, Computer Science, Electronics, Information Technology, Biology, Informatics Practices, Biotechnology, Technical or Vocational subjects, Agriculture, Engineering Graphics, Business Studies, or Entrepreneurship with a minimum of 55% marks are eligible for admission to B.Tech CSE at Geeta University.

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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Meet Our Mentors

Guiding Futures with Expertise, Experience & Empathy

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.

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. Richa Jain

Assistant Professor, M.Tech.

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

Ms. Jyoti

Assistant Professor

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

WhatsApp Image 2026-06-18 at 12.55.20 (1)

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.

Ronak Duggar

Trainer

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

Frequently Asked Questions

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

What programmes are offered by the School of Computer Science & Engineering at Geeta University?

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.

What is the eligibility for B.Tech. CSE at Geeta University?

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.

Is Mathematics compulsory for B.Tech. CSE admission?

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

Can students from a D.Voc. background apply for B.Tech. CSE?

Yes. Students who have passed the D.Voc. stream with at least 55% marks in the same or an allied sector may be eligible.

What is the eligibility for BCA at Geeta University?

10+2 or equivalent with at least 50% marks, or a Diploma in Commercial Practice or equivalent with at least 50% marks.

Is Mathematics compulsory for BCA?

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.

What is the eligibility for MCA?

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

What is the eligibility for M.Tech. CSE?

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.

Who is eligible for Ph.D. programmes in the School?

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

What is the difference between B.Tech. CSE and BCA at Geeta University?

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.

What specialisations are available under B.Tech. CSE?

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.

What specialisations are available under BCA?

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

How should a student choose between AI & ML, Data Science, Cyber Security and Full Stack Development?

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.

Does the curriculum cover core programming and computer science fundamentals?

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.

Will students learn multiple programming languages?

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

Does the School teach AI and Machine Learning beyond a basic introduction?

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.

What will students learn in the Cyber Security specialisation?

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.

What does the Data Science & Business Analytics pathway focus on?

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.

What does the Full Stack Web Development specialisation cover?

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.

What is special about the B.Tech. CSE Quantum Computing pathway?

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.

Does the M.Tech. CSE curriculum include advanced technologies?

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.

What does the MCA programme focus on?

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.

Is the School focused more on theory or practical learning?

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.

Do students work on real-world projects?

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

Are internships part of the CSE learning experience?

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.

When do BCA students get industry internship exposure?

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

Will students get opportunities to participate in hackathons and coding activities?

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.

What is the Geeta Technical Hub and how does it support CSE students?

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.

What are the 'Drive Ready Tracks' offered by the School?

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.

What kind of certifications can CSE students pursue?

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.

Are industry certifications automatically included in the programme fee?

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.

Will students work with industry tools and technologies?

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.

How does practical training help students prepare for placements?

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.

What career opportunities are available after B.Tech. CSE?

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.

What career options are available after BCA?

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.

Can BCA graduates pursue MCA after graduation?

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.

What career opportunities are available after M.Tech. CSE?

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.

Can CSE graduates work outside the IT sector?

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

Can a CSE graduate build a career in AI without choosing an AI specialisation?

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.

Which types of companies recruit CSE students?

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

Does the School provide placement assistance?

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

Is the ₹40 LPA placement figure specific to CSE students?

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.

Are placements guaranteed for every CSE student?

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.

What skills do recruiters typically look for in CSE graduates?

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.

Who teaches students at the School of Computer Science & Engineering?

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.

What research expertise is available among the faculty?

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.

Will beginners in coding receive support?

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.

How does the School help students become job-ready?

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.

What kind of learning infrastructure is available to CSE students?

Advanced laboratories, technology-enabled classrooms, practical learning spaces are part of technical infrastructure designed to support programming, projects and emerging-technology learning.

Will students need a laptop for CSE or BCA?

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

Are coding clubs or competitive programming opportunities available?

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

Do students get exposure to emerging technologies outside the core syllabus?

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

Can students build a portfolio during the programme?

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.

Does the School support research and innovation?

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

Can students pursue Ph.D. after M.Tech. CSE or MCA?

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.

Can students work on patents or research publications?

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.

Are there opportunities for students interested in quantum computing research?

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.

Should a student choose B.Tech. CSE or BCA if they want a career in software development?

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.

Is CSE suitable for a student who is interested in technology but is not strong in coding yet?

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.

Which CSE specialisation has the best future scope?

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

Is a CSE degree useful if the student does not want to become a programmer?

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.

What should parents consider before choosing a CSE programme?

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.

How long is the B.Tech. CSE programme?

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

How long is the BCA programme?

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

How long are the MCA and M.Tech. CSE programmes?

Both MCA and M.Tech. CSE are listed as two-year postgraduate programmes.

What is the long-term career scope of Computer Science & Engineering?

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.

Can students customize their learning according to their interests?

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.