- 08045883579
- admission@wlp-cu.com
Course Duration:
2 Years
Course Fee:
1,00,000
Course Eligibility:
A candidate shall have passed the qualifying examination of B.C.A./ B.Sc. (Computer Science)/ B.Sc. (IT) / B.E. (CSE)/ B.Tech. (CSE) / B.E. (IT) / B.Tech. (IT) or passed any graduation degree (e.g.: B.E. / B.Tech. / B.Sc. / B.Com. / B.A./ etc.,) with Mathematics, Business Mathematics, Programming or Statistics at 10+2 level or at Graduation level with 50% aggregate.
For students having no Mathematics background compulsory 3 credit bridge course will be offered by the university.
For students having no background knowledge in Computer Subjects, a 3-credit bridge course on Introduction to problem solving will be offered as per University norms.
About The Course:
The M.Sc in Mathematics program at CU offers a transformative online learning experience for
aspiring mathematicians. This comprehensive degree equips students with advanced theoretical
knowledge and practical skills in various mathematical disciplines, including pure and
applied
mathematics, statistics, and computational mathematics. Through engaging virtual lectures,
interactive discussions, and challenging problem-solving exercises, learners will develop a
deep
understanding of mathematical concepts and their real-world applications.
Course
Structure
Subjects
Credits
Algebra-I
5
Mathematical Analysis
5
Differential Equations-I
5
Differential Geometry
5
Total Credit
20
Subjects
Credits
Algebra- II (Rings and Modules)
4
Real Analysis
4
Topology-I
4
Complex Analysis-I
4
Total Credit
20
Subjects
Credits
Optimization Techniques-I
5
Differential Equations-II
5
Topology-II
5
Complex Analysis-II
5
Total Credit
20
Subjects
Credits
Optimization Techniques-II
5
Operations Research
5
Mathematical Statistics
5
Theory Of Linear Operators
5
Total Credit
20
The M.Sc in Mathematics program at CU offers a transformative online learning experience for aspiring mathematicians. This comprehensive degree equips students with advanced theoretical knowledge and practical skills in various mathematical disciplines, including pure and applied mathematics, statistics, and computational mathematics. Through engaging virtual lectures, interactive discussions, and challenging problem-solving exercises, learners will develop a deep understanding of mathematical concepts and their real-world applications.
Course Structure
| Subjects | Credits |
|---|---|
| Algebra-I | 5 |
| Mathematical Analysis | 5 |
| Differential Equations-I | 5 |
| Differential Geometry | 5 |
| Total Credit | 20 |
| Subjects | Credits |
|---|---|
| Algebra- II (Rings and Modules) | 4 |
| Real Analysis | 4 |
| Topology-I | 4 |
| Complex Analysis-I | 4 |
| Total Credit | 20 |
| Subjects | Credits |
|---|---|
| Optimization Techniques-I | 5 |
| Differential Equations-II | 5 |
| Topology-II | 5 |
| Complex Analysis-II | 5 |
| Total Credit | 20 |
| Subjects | Credits |
|---|---|
| Optimization Techniques-II | 5 |
| Operations Research | 5 |
| Mathematical Statistics | 5 |
| Theory Of Linear Operators | 5 |
| Total Credit | 20 |
