An M.Sc in Mathematics and Computing is an interdisciplinary program that combines advanced mathematical concepts with computational techniques, preparing students for careers in research, technology, and data-driven industries. The curriculum typically includes subjects like linear algebra, numerical analysis, probability & statistics, optimization, machine learning, cryptography, and scientific computing, along with programming languages such as Python, C++, R, and MATLAB. This blend of pure and applied mathematics with computational methods makes graduates highly sought after in fields like data science, artificial intelligence, financial modeling, quantitative analysis, cryptography, and software development.
Many students also pursue Ph.D. programs for research in theoretical and applied mathematics. With increasing reliance on computational solutions across industries, M.Sc in Mathematics and Computing provides strong career prospects in academia, research labs, IT firms, fintech, and government sectors like ISRO, DRDO, and RBI, making it a highly valuable postgraduate degree.
Those inclined towards finance can explore careers in actuarial science, investment banking, and risk management, while teaching and EdTech provide opportunities as professors, online educators, or content developers. With growing applications of mathematics in AI, blockchain, and computational biology, an M.Sc in Mathematics & Computing is a gateway to high-paying, intellectually rewarding careers in both research and industry. Acquiring additional technical skills and domain knowledge can further enhance career prospects.
Duration - 2 Years
Eligibility Criteria
Graduation in relevant discipline or equivalent.
Annual Fee - 72,000/-
Semester Fee - 36,000/-
Career Scope After M.Sc - Maths & Computing
An M.Sc in Mathematics & Computing opens up diverse career opportunities in research, academia, and industry, blending mathematical theory with computational applications. Graduates can pursue Ph.D. programs in advanced mathematics, computational science, artificial intelligence, or cryptography, leading to careers in research and academia as professors or scientists. In the industry, strong mathematical and programming skills make them highly sought after in data science, machine learning, AI, and quantitative finance, with roles such as data scientist, AI engineer, financial analyst, or quantitative researcher.
The IT and software industry offers opportunities in algorithm design, cybersecurity, software development, and operations research, where expertise in programming languages like Python, C++, and R is highly valuable. Government and public sector jobs are available in organizations like ISRO, DRDO, RBI, and Indian Statistical Services (ISS) for roles in analytics, modeling, and cryptography.