-
Duration
2 Years
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Eligibility
Minimum 50 % aggregate in Graduation in any stream
of Basic Sciences with Mathematics as one of the compulsory subject.
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Selection Procedure
Merit + PI
Program Outcomes
Mathematical Foundations
Understand the mathematical concepts and applications in the field of algebra, analysis, computational techniques, optimization, differential equations, and engineering.
Advanced Problem Solving
Handle the advanced techniques in algebra, analysis, computational techniques, optimization, differential equations, engineering, finance and actuarial science to analyze and design algorithms solving variety of problems related to real life problems.
Sustainable Innovation
Adopt changing scientific environment in the process of sustainable development by using mathematical tools.
Research Expertise
Have necessary skills and expertise in the field of research and developments through seminar and dissertation.
Career Paths

Lecturer/Professor

Research Scientist

Data Scientist/Analyst

Machine Learning Engineer

Statistical Officer/Analyst

Mathematics Consultant
Curriculum
| Course Category | Subject Name | Credits |
|---|---|---|
| Core | Calculus of variation and special functions | 4 |
| Core | Differential Equations | 4 |
| Core | Real Analysis | 4 |
| AECC | C Programming | 3 |
| AECC | C Programming Lab | 2 |
| DSE | Industrial Mathematics | 3 |
| Hydrodynamics | ||
| EC** | Extracurricular Activity** | |
| Total Credits | 20 | |
| Course Category | Subject Name | Credits |
|---|---|---|
| Core | Numerical and Statistical Techniques | 4 |
| Core | Abstract Algebra | 4 |
| Core | Mathematical Programming | 4 |
| Core | Continuum mechanics | 4 |
| Core | Numerical & Statistical Techniques Lab | 2 |
| Course Category | Subject Name | Credits |
|---|---|---|
| Core | Linear Algebra | 4 |
| Core | Mechanics | 4 |
| Core | Integral Transforms | 4 |
| Core | Advance differential equations | 4 |
| Core | Optimization Techniques Simulation Lab | 2 |
| DSE | Viscous Fluid Dynamics | 3 |
| Combinatorics & Graph Theory | ||
| SEC | Advance Statistics | 2 |
| CC | Co-Curricular Activity** | |
| Total Credits | 23 | |
| Course Category | Subject Name | Credits |
|---|---|---|
| Core | Functional Analysis | 4 |
| Core | Integral Equations | 4 |
| Core | Complex Analysis | 4 |
| Core | Number Theory | 3 |
| Core | Dissertation | 6 |
| DSE | Difference Equations and Sampling Theory | 3 |
| Mathematical Statistics | ||
| Total Credits | 24 | |
Tuition Fee
₹33400
Note
*Lab & Library fee will be charged separately
#Program Proposed from Session 2026-27
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Frequently Asked Questions
A master’s degree (M.Sc. Mathematics) is a postgraduate degree for students who want to become more skilled or specialized in a particular discipline tend to be more focused and allow students to develop the depth of their knowledge in a particular subject. Mathematics is the study of quantity, structure, space, and change. Mathematicians seek out patterns and formulate new conjectures which resolve the truth or falsity of conjectures by mathematical proofs. Mathematics is very important in the field of data science as concepts within mathematics aid in identifying patterns and assist in creating algorithms. The understanding of various notions of Statistics and Probability Theory are key for the implementation of such algorithms in data science.
The curriculum of M.Sc. Mathematics includes dissertation projects, assignments, analyzing a large amount of numerical data, MAT Lab, NST Lab ,seminars and complete course of CSIR NET Exam. MAT LAB may not be as user friendly as an application like Photoshop, however, being a general purpose programming language it provides many important advantages for forensic image processing. It ensures the image processing steps used are completely documented, and hence can be replicated. It also includes designing surveys and experiments. The evaluation of a student is done through an Internal Assessment and External Assessment. This Department organized time to time workshops with help of department of computer science. The dissertation project is an important part of M.Sc. Mathematics.
Direct Admission with Personal Interview and there is no entrance test.
Yes, it is compulsory to complete all the prescribed practical sessions because Numerical methods in NST Lab are mathematical methods that are used to approximate the solution of complicated problems so that the solution consists of only addition, subtraction and multiplication operations. MATLAB is a high-performance language for technical computing.
A master's degree in mathematics makes a specialized and skilled person in solving various mathematical problems. They have the ability of logical thinking and solving the problems in various alternative methods. As a career, you can do the PhD. and go for lectureships. With your M. Sc. degree you can find a job in school and parallel join some coaching classes. Even banks and financial institutions also prefer mathematics qualified personnel. If you like you can go for a chartered accountant course. If you are interested you can join DRDO, as a scientist and do further research under them.
The most important topics that are included in M.Sc. Mathematics are -
- Graph Theory
- Differential Geometry
- Complex Analysis
- Real Analysis
- Functional Analysis
- Optimization Techniques
- Fluid Dynamics
After getting an M.Sc. degree, most of the candidates apply for a PhD course or can go for research. Many companies such as ISRO, BARC, and ISI conduct exams for the Scientist posts.
Jaipur National University encourage research in areas like Applied Mathematics. Some programs may offer thesis or dissertation options, allowing students to work closely with faculty on research projects.
Important skills include analytical thinking, problem-solving, computational proficiency, and familiarity with mathematical software like MATLAB and programming languages like C programming foundations in mathematical theories and proof techniques are also essential.
The average salary of an M.Sc. Mathematics Student depends on where they work. If you join multinational companies for a suitable job profile, your starting salary will be 40000-60000 per month in India. You can earn much better or lesser based on your skills and type of job.


