Master of Science in Mathematics (M.Sc - Mathematics) is a two-year postgraduate program designed to provide students with a deep understanding of advanced mathematical theories, analytical techniques and their applications across various fields. The course builds on undergraduate-level mathematics and is intended for students who have a strong mathematical background and wish to pursue careers in academia, research, data science, finance or other mathematics-intensive industries. The program typically includes both pure and applied mathematics, allowing students to develop theoretical expertise and practical problem-solving skills. Core areas include algebra, analysis, topology, differential equations and numerical methods with optional modules in statistics, mathematical modelling, cryptography and computational mathematics. The course often culminates in a dissertation or research project, giving students the opportunity to explore a specific area of interest in depth under academic supervision.
Program Highlights:
Advanced Theoretical Foundation::
In-depth study of algebra, real and complex analysis, topology and differential equations.
Applied Mathematics:
Exposure to numerical methods, mathematical modelling and optimization techniques relevant to real-world problems.
Elective Specializations:
Options to specialize in areas like fluid dynamics, cryptography, data science, financial mathematics or operations research.
Research Training:
Emphasis on research skills, often including a final dissertation or independent project supervised by faculty.
Interdisciplinary Applications:
Opportunities to apply mathematics in physics, engineering, mathematics, economics and other fields.
Career Preparation:
Opportunities to apply mathematics in physics, engineering, mathematics, economics and other fields.
Use of Technology:
Incorporation of mathematical software tools such as MATLAB, Mathematica, R or Python for computation and simulation.
Seminars and Workshops:
Regular academic events featuring guest lectures and workshops to expose students to current developments in mathematical research.
Flexible Curriculum:
Many universities offer flexibility to choose from a variety of optional modules to tailor the degree to student interests and career goals.
M.Sc Mathematics -Eligibility Criteria:
A Bachelor's degree (B.Sc or equivalent) with Mathematics as a major or core subject from a UGC approved University or an equivalent with 50% marks (45% marks in case of candidate belonging to reserved category) in the qualifying examination.
Syllabus : These programs typically cover a range of topics, including advanced statistics, machine learning algorithms, programming languages (like Python and R), database management, data visualization, and data engineering.
Fee Structure and Scholarship:
The fee for the M.Sc Mathematics program is 27500/-* per semester. *Other fee (Lab, Library, Examinations, Activities, etc.) will be charged separately.
To check whether you are eligible for M.Sc Mathematics scholarship and other details - Click Here
M.Sc Mathematics -Admission Procedure:
To apply for M.Sc Mathematics admission, follow the procedure below,
- Fill out the application form (from the Admission Office or the website)
- Pay the application fee of ₹500
- To get the Admission Form - CLICK HERE
- To apply Online - - CLICK HERE
- Submit the required documents
- To know the complete details about the admission process, please go through our Admission Procedure page
Selection Procedure: QE Merit.
Benefits of pursuing an M.Sc Mathematics:
Mathematics is not a theory-based subject and it's the backbone of science, engineering, technology and finance. An program equips students with advanced knowledge in algebra, calculus, statistics, and applied mathematics. It fosters critical thinking, logical reasoning, and research-oriented skills, essential in today's data-driven world
Career Opportunities
- From academia to cutting-edge industries, the career paths are diverse and fulfilling.
- 1.Academia and Research
- 2.Data Science and Analytics
- 3.Actuarial Science
- 4.Banking and Finance
- 5.Government Sector and Public Services
- 6.IT and Software Development