3 Years
The B.Sc. (Hons.) program at Ramanujan College, University of Delhi, is a specialized three-year undergraduate science degree that provides in-depth study in a specific discipline. The program blends theory, lab work, and interdisciplinary learning to prepare students for careers in science, technology, analytics, and research.
As per typical offerings (not using web data), Ramanujan College generally offers:
B.Sc. (Hons.) Computer Science
B.Sc. (Hons.) Statistics
Note: The availability of specific courses can vary depending on annual academic planning and seat capacity.
All B.Sc. (Hons.) programs at DU, including those at Ramanujan College, follow the University of Delhi’s Undergraduate Curriculum Framework (UGCF), which includes:
These are compulsory courses in the major subject studied across all six semesters.
For Computer Science: Data Structures, Programming (Python, Java), Operating Systems, DBMS, Networking, etc.
For Statistics: Probability Theory, Statistical Inference, Regression Analysis, Survey Sampling, Statistical Computing.
Advanced or applied topics in the core discipline, chosen in the final year.
Interdisciplinary papers chosen from subjects outside the main discipline (e.g., Mathematics, Economics, Computer Applications).
Skill-building courses like:
Excel & R Programming
Web Development
Statistical Software (SPSS, Python)
Environmental Science
English or MIL (Modern Indian Language) Communication
Courses that focus on ethics, leadership, digital skills, etc.
Completion of 10+2 in Science stream from a recognized board.
Admission is through CUET (UG).
Mathematics is mandatory for both Computer Science and Statistics Hons.
Software Developer
Web Developer
Data Analyst
Cybersecurity Analyst
Higher Studies (MCA, M.Sc. CS, Data Science)
Statistician
Data Scientist
Business Analyst
Government/Research Analyst
Further studies in M.Sc. Statistics, Data Science, Actuarial Science
Strong academic structure aligned with DU's science departments
Experienced faculty and industry-focused curriculum
Emphasis on practical training and project work
Active placement cell and internships in tech and analytics fields
Labs and infrastructure suited for computer and statistical education