Department of Mathematics
Advancing Mathematical Thinking & Applications
Welcome to Department of Mathematics
About Our Department
The Department of Mathematics is committed to excellence in teaching, research and application of mathematics across pure and applied domains. We cultivate rigorous problem solving, theoretical insight, and computational skills.
Our programmes combine foundational theory with practical modelling, numerical methods, and interdisciplinary collaboration with sciences and engineering.
Key Highlights
- Strong Foundation in Pure Mathematics
- Applied & Computational Mathematics Labs
- Research in Analysis, Algebra & Modelling
- Student Projects, Competitions & Outreach
Our Faculty
Course Outline
Bachelor of Science in Mathematics (B.Sc Mathematics)
A 3-year undergraduate programme emphasizing theoretical foundations, computational techniques, and applied modelling.
1
Semester 1
- Calculus I (Differential Calculus)
- Introduction to Linear Algebra
2
Semester 2
- Calculus II (Integral Calculus)
- Discrete Mathematics & Logic
3
Semester 3
- Ordinary Differential Equations
- Real Analysis I
- Introduction to Probability & Statistics
4
Semester 4
- Linear Algebra II & Applications
- Numerical Methods
- Mathematical Modelling
5
Semester 5
- Real Analysis II / Complex Analysis
- Abstract Algebra I
- Probability & Stochastic Processes
6
Semester 6
- Partial Differential Equations / Optimization
- Graph Theory & Combinatorics (Elective)
- Seminar/Project: Research or Computational Project
Our Programmes
Bachelor of Science in Mathematics (B.Sc)
A 3-year undergraduate programme emphasising rigorous foundations, modelling and computational skills.
Semester 1
- Calculus I (Differential Calculus)
Master of Science in Mathematics (M.Sc)
A 2-year postgraduate programme focused on advanced analysis, algebra, numerical computing and thesis work.
Course Outcomes
Bachelor of Science in Mathematics (B.Sc)
Graduates will be able to formulate and solve mathematical problems, apply numerical methods, pursue research or careers in analytics, teaching, engineering and computational science.
Currently no add-on courses available.