A robust BSc (Hons) Computer Science programme offering strong foundations in algorithms, AI, systems, data, and research, alongside the flexibility to integrate CS with Economics, Entrepreneurship, Psychology, Mathematics, and more.
Traditional engineering and BTech programmes often produce graduates who know how to clear exams, not how to build scalable systems, write production-grade code or do research in AI, algorithms and data.
The BSc (Hons) Computer Science programme at Ashoka is engineered for students who think like engineers and research-oriented problem solvers and want the flexibility to do more than a conventional engineering degree allows.
Strong foundation in algorithms, data structures, operating systems, computer networks, databases, theory of computation, AI and machine learning.
Ideal for those exploring BTech, JEE or top CS programmes, but who want flexibility, research and global-standard teaching.
Combine CS with Economics, Entrepreneurship, Psychology, Mathematics, Philosophy, Political Science and more to build differentiated CS+X profiles.
Opportunities to work with faculty on algorithms, complexity, AI, systems, data science, social computing and more – from early semesters.
How your core Computer Science journey is structured.
Fixed, exam-heavy curriculum with limited room to explore advanced CS, research electives or courses beyond engineering.
Engineering-level CS fundamentals with the flexibility to take advanced electives, interdisciplinary minors and research projects across the university.
What your day-to-day classes and labs actually feel like.
Large lectures, theory-heavy delivery, limited faculty interaction and minimal emphasis on writing, communication or critical thinking.
Small cohorts, seminar-style learning, office hours, project-based work and feedback-driven pedagogy that trains you to code, present, debate and write like a computer scientist.
Where the degree can realistically take you after graduation.
Limited exit options — largely generic software roles or mass IT placements with little focus on research, RA/TA opportunities or higher studies preparation.
Career pathways into SDE, data, ML, product, quant and research; strong preparation for selective global MS / PhD programmes; opportunities for RA / TA roles, CS+X careers and entrepreneurship driven by a deep CS core.
You can choose from multiple CS major + minor / concentration combinations. Here are some popular pairings that help you stand out against traditional single-discipline profiles.
Build a profile for careers in quant, fintech, data-driven policy, research, consulting and analytics-heavy roles.
Learn how to build, launch and scale products – from architecture to go-to-market – ideal for startup-driven careers.
Combine computing with UX, product, HCI and behavioural data to design human-centred tech and research careers.
Ideal for deep algorithms, theory, cryptography, ML research and future MS / PhD at leading global universities.
At Ashoka, you don’t just “cover the syllabus”. You write code, break systems, debug, present, write, argue and build – in an environment that feels like a modern engineering school and a global Liberal Arts & Sciences university at once.
Hands-on programming labs, problem sets and project-based courses that simulate real software and data work – not just exam preparation.
Seminar-style classrooms, office hours and close interaction with Computer Science faculty – ideal for students who want depth, clarity and feedback.
Writing-intensive courses, presentations and project reports that train you to explain complex CS ideas clearly – crucial for research, product and leadership roles.
Coding clubs, hackathons, reading groups and peer-learning spaces that keep you building beyond the classroom.
From algorithms and complexity to AI, systems, social computing and interdisciplinary CS, you can work with faculty on real research questions – not just toy projects – during your BSc (Hons) Computer Science.
Join reading groups, research seminars and projects in advanced CS areas from your first year.
Work at the intersection of computing, economics, psychology, policy, mathematics and more.
Build a research portfolio and letters that strengthen applications to competitive MS / PhD programmes.
Learn Computer Science with faculty and advisors who bring experience from leading universities, research labs and technology ecosystems – combining rigorous theory, research and real-world problem solving.
Late-night code, hackathons, reading groups, sports, societies and conversations that move beyond assignments – all on a modern, green campus in Delhi NCR.
Ashoka is committed to making an engineering-grade Computer Science education accessible. Multiple scholarship opportunities (merit and need-based) are available to students under the University’s #AshokaForAll mission.
Who is this for?Exceptional academic and competitive performance.
Who is this for?Consistently outstanding academic performance.
Who is this for?Students with demonstrated financial need.
A student’s ability to pay is assessed holistically based on family income, savings, investments and other financial commitments, including education loans.
All awardees of Special Merit and Achievers’ Merit Scholarships remain eligible to be considered for additional need-based assistance as per Ashoka University’s financial aid policies for the relevant admission year. #AshokaForAll
Submit your application through the Ashoka portal with transcripts, CV, statement of purpose and supporting documents.
Admissions and faculty teams review academic preparation, programme fit and readiness for rigorous postgraduate study.
Shortlisted candidates may be invited for interviews and/or programme-specific assessments.
Selected applicants receive an admission offer. Those seeking support can apply for a need-based scholarship with required documents.
Confirm your seat, complete formalities and join Ashoka’s postgraduate cohort with a structured orientation.
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