The M.Sc. in Mathematics & Computing is a two-year interdisciplinary postgraduate programme that integrates advanced mathematics, computer science, and computational techniques. This full-time course aims to develop analytical thinking, programming proficiency, and problem-solving skills for complex scientific and industrial applications. Students study subjects such as linear algebra, numerical analysis, optimization, algorithms, data structures, and machine learning, complemented by hands-on training in computational tools and programming languages. The programme bridges theory and practice, preparing students for careers in both academic and technology-driven sectors. With a seat intake of 50 students and an annual fee of approximately 8,550 INR, this course is popular among students seeking to combine mathematical rigor with practical computing skills. Career opportunities include roles as data scientists, software developers, quantitative analysts, research scientists, and educators in industries, research institutions, and universities.
Admissions for the 2026-27 academic year are ongoing through CUET-PG 2026 (20% of seats) and RGUCET 2025 (80% of seats). CUET-PG 2026 registration is open from December 14, 2025 to January 25, 2026, with examinations scheduled for March 6 to April 10, 2026 (tentative). RGUCET 2025 entrance test dates will be notified separately. Admission completion is targeted for August 14, 2026. For the 2025-26 academic year, admissions were completed by August 14, 2026. Classes commence on September 1, 2026 for newly admitted students.
KEY POINTS
- Advanced curriculum combining pure and applied mathematics with computational methods
- Hands-on training in programming languages including C, MATLAB, and Mathematica
- Strong faculty specialization in algebra, analysis, applied mathematics, and numerical computations
- Opportunities for research and publication in peer-reviewed journals
- Access to modern computing facilities and laboratories
- Interdisciplinary approach preparing students for both academia and industry
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