Manipal Academy of Higher Education

Overview

The MSc in Applied Mathematics and Computing at Manipal Academy of Higher Education offers a robust foundation in computational and application-oriented mathematics. This program combines advanced mathematical theories with programming and hands-on lab work, enhanced by project involvement and research opportunities. Designed for full-time study over a typical duration of 24 months, this course is delivered on-campus with English as the primary language of instruction.

What you'll study

Core areas typically include:

• Differential Equations
• Complex Analysis
• Linear Optimization
• Number Theory and Cryptography
• Probability Theory & Stochastic Processes
• Graph Theory

Learning components you can expect:

• Mathematics + computing integration: coursework complemented by lab sessions and computational practice.
• Projects and research exposure: hands-on project work that enhances problem formulation, experimentation, and reporting skills.
• Open electives: opportunities to explore specialized topics in mathematics, subject to availability each academic year.

Capstone/project requirement: The program includes a project component that fosters research exposure and practical learning. Specific project formats and assessment criteria may differ by cohort—please verify details on the program website.

For comprehensive and current curriculum details, including semester-wise plans, please consult the program website.

Entry requirements

Applicants should hold a B.Sc. / B.Tech / B.Sc. (Hons) from a recognized university with a minimum of 50% aggregate marks (or equivalent). Additionally, if you are from a non-English medium background, you may need to provide an accepted English test score or proof of previous education in English. It is advisable to confirm these requirements with the admissions office for your specific intake.

Career prospects

Graduates of the MSc in Applied Mathematics and Computing can pursue a range of career paths in diverse sectors, including technology, finance, academia, and research. The integration of mathematics and computing equips students with valuable skills in data analysis, algorithm development, and problem-solving, making them well-suited for roles in software development, data science, and quantitative analysis, among others.