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.

BCA in Artificial Intelligence and Machine Learning (BCA AI and ML)

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.

The Bachelor of Computer Applications (BCA) with a specialization in Artificial Intelligence (AI) and Machine Learning (ML) is a three-year undergraduate program at Geeta University aiming at equipping students with a solid basis in computer science, complemented by specialized expertise in AI and ML technologies. The BCA AI and ML Course covers a curriculum like machine learning methods, deep learning, computer vision, natural language processing and robotics.

Learners gain the skills to design and execute AI and ML models to address practical issues, including picture and voice recognition, sentiment analysis, and recommendation systems. They get practical experience with significant AI and ML technologies and frameworks.

Focus areas include Fundamentals of computer science and mathematics, ML algorithms, decision trees, and neural networks, deep learning techniques, computer vision, Natural language processing, robotics and control systems, project work and hands-on experience in developing AI and ML models.

Important Takeaways

BCA AI and ML Course is 3-year undergraduate degree and 4-year undergraduate degree with Honours
Practical Exposure & Industry Connect
Technology and Digital Integration
Comprehensive Curriculum
Infrastructure & Learning Environment

Geeta University BCA AI and ML Program – Subjects

The university is widely recognized as a leading engineering institution in North India owing to the fact that it offers a curriculum that is centered on the industry, superior facilities, and practical training.

The subjects in a BCA AI and ML Course include:

AI & Ethics Foundations
Machine Learning Models
Python for AI
Natural Language Processing (NLP)
Deep Learning & Neural Networks
AI in IoT & Cloud
Computer Vision Techniques
Data Analysis using Python
Industrial AI Projects (with Samatrix.io)
Capstone Project & Internship

Learning Outcomes

Develop and deploy AI applications
Train and evaluate ML models
Apply AI in real-world scenarios
Work on projects using NLP and CV
Use AI tools across platforms

Geeta University BCA AI and ML Admission Process

Eligibility Criteria: Candidates for a BCA AI and ML Course must have 10+2 or equivalent with at least 50% marks OR Diploma in Commercial Practice with 50% marks.

Then follows your admission process:

Step 1 – Apply: Fill the BCA AI & ML application form online at admissions.geetauniversity.edu.in or offline at the Geeta University campus, Panipat

Step 2 – Submit Documents: Complete the rest of the BCA AI & ML admission process offline — submit 12th marksheet, ID proof & other required documents at the campus

Step 3 – Confirm Admission: Pay the admission fee offline and confirm your seat to get your BCA AI & ML degree in Haryana and Delhi NCR at Geeta University

What You Learn in BCA AI ML: Hands-On Skills

A BCA AI and ML Course is all about getting you job-ready in diverse sectors. You’ll learn:

Programming: Master Python and other tools to create AI apps like chatbots.
Data Analysis: Use ML to analyse data for business decisions.
Practical Tools: Utilize software such as TensorFlow or PyTorch.
Quick Projects: Develop real-world apps, such as a recommendation system for an online store.

GU offers practical training in BCA in AI to make you industry-ready.

Design Your Own Degree With GU

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.