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M.Sc Mathematics Work-Linked Degree Program

Home: Work-Linked Degree Programs M.Sc Mathematics Work-Linked Degree Program

Learn and Earn Together at the Same Time

Course Fees:

Stipend

Earn up to ₹4.0 Lakhs/year with the internship of your choice*

Course Eligibility:

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.

Internship Eligibility:

Age limit: 26 years

*Earnings depend on role, industry, company policies, and internship availability.

What are Work-Linked Degrees?

Our work-integrated degree program lets you gain practical work experience through internships, while completing your degree with Chandigarh University.

About The Course:

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.


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Key Highlights:

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.

Course Objectives:

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.

Learning Outcomes:

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.

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

Course Fee


Admission Fee: INR 1,000

Course Fee (Per Semester): INR 25,000 INR 18,750

25% Early Bird Discount on Programme Fee


Master of Science (Mathematics) SEM I
SEM II
SEM III
SEM IV
Course Fee (Discounted) 18,750 18,750 18,750 18,750
INR 1,00,000 After Early Bird Discount INR 75,000

Career Opportunities:

Mathematical Modeler

Data Analyst

Quantitative Analyst

Statistician

Academic Researcher

Actuary

Operations Research Analyst

Frequently Asked Questions (FAQ's)

  • Students work part-time or participate in projects with partner organizations while completing their academic coursework. This ensures practical application of theoretical concepts in a real-world setting.
  • Graduates can pursue roles in data analysis, financial modeling, research, education, actuarial sciences, and more. The blend of academic knowledge and practical skills makes them highly employable in diverse industries.
  • The program typically spans 2 years, divided into 4 semesters.
  • Yes, the degree awarded is equivalent to a traditional M.Sc. Mathematics degree.