- 08045883579
- admission@wlp-cu.com
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.
*Earnings depend on role, industry, company policies, and internship availability.
Our work-integrated degree program lets you gain practical work experience through internships, while completing your degree with Chandigarh University.
The M.Sc Mathematics Work-Linked Degree Program offers a perfect blend of academic rigor and practical industry experience, designed for students passionate about advancing their mathematical knowledge while gaining hands-on exposure to real-world applications. This program covers core areas of pure and applied mathematics, including calculus, algebra, statistics, and mathematical modeling, providing a solid foundation for solving complex problems in various industries.
Graduates of this program not only receive an advanced degree in mathematics but also emerge with the professional experience and skills necessary to excel in research, teaching, or high-demand roles in industries that rely heavily on mathematical expertise.
Advanced Mathematical Knowledge: Master core areas of pure and applied mathematics, including calculus, algebra, and statistics.
Industry-Integrated Learning: Apply mathematical concepts to real-world problems through industry partnerships and internships.
Cutting-Edge Tools and Techniques: Gain proficiency in mathematical modeling, computational methods, and software tools.
Research and Analytical Skills: Develop strong research capabilities to solve complex mathematical problems.
Career-Ready Expertise: Graduate with practical experience and skills suited for roles in finance, analytics, teaching, and research.
Master Core Mathematical Concepts: Gain expertise in advanced topics like algebra, calculus, and statistics.
Apply Mathematical Modeling: Learn to model real-world problems using mathematical techniques and tools.
Develop Computational Skills: Gain proficiency in mathematical software and programming for problem-solving.
Enhance Research Capabilities: Conduct independent research to solve complex mathematical and analytical problems.
Understand Applied Mathematics: Apply mathematical concepts to industries such as finance, data science, and engineering.
Advanced Problem-Solving Skills: Demonstrate the ability to solve complex mathematical problems using theoretical and computational methods.
Industry-Relevant Expertise: Apply mathematical techniques effectively in real-world industry scenarios, such as finance and data science.
Research Proficiency: Conduct high-level research and present mathematical findings clearly and systematically.
Critical Thinking: Develop the ability to approach mathematical challenges with analytical rigor and creativity.
Mathematical Communication: Communicate complex mathematical concepts effectively to both technical and non-technical audiences.
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 |
Master of Science (Mathematics) | SEM I | SEM II | SEM III | SEM IV |
Course Fee (Discounted) | 18,750 | 18,750 | 18,750 | 18,750 |
Mathematical Modeler
Data Analyst
Quantitative Analyst
Statistician
Academic Researcher
Actuary
Operations Research Analyst