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Natural Sciences

Mathematics

Department of Mathematics

Credit requirements

Min Credits required

12 Core
8 Elective
20 Total Credits

Number of Credits to Choose

16 Core
32 Elective
48 Total Credits

Core Courses (Take Any Three)

MAT 2001

Real Analysis I

3:1:0 needs MAT1002 or MAT1100 or MAT2004 or CHY 1003 or CHY 1004
MAT 2005

Algebra I

3:1:0 needs MAT1002 or MAT1100 or MAT2004 CHY 1003 or CHY 1004
MAT 3003

Differential Equations

3:1:0 needs MAT1002 or MAT1100 or MAT2004 CHY 1003 or CHY 1004
MAT 3001

Statistical Inference

3:1:0 needs MAT1002 or MAT1100 or MAT1007 or MAT2007 CHY 1003 or CHY 1004

Elective Basket (Take Any Two)

MAT 2046

Combinatorics

3:1:0 needs MAT1002 or MAT1100 or MAT2004, or MAT1060 CHY 1003 or CHY 1004
MAT 4208

Graph Theory

3:1:0 needs MAT2001 or MAT1060
MAT 4203

Introduction to Differentiable Manifolds

3:1:0 needs MAT2001 and MAT4219
MAT 4212

Introduction to Mathematical Finance

3:1:0 needs MAT2005 or MAT3001 or MAT1060 or MAT1007
MAT 4219

Metric Spaces

3:1:0 needs MAT2001
MAT 4204

Optimization I

3:1:0 needs MAT2001 or MAT1060
MAT 4100

Statistical Simulation and Computation

3:1:0 needs MAT3001 or MAT1060
MAT 4241

Introduction to Machine Learning

3:1:0 needs MAT3001 or MAT1060

Why pursue this

  • A strong foundation for quantitative careers and higher study: core training in analysis, algebra, differential equations, and statistics.
  • Flexible electives to match interests — discrete mathematics, optimisation, geometry, computation, finance, and machine learning.
  • Emphasis on rigorous reasoning and communication: proof-based thinking and clear mathematical writing for interdisciplinary work.

What you'll come out with

  • Apply foundational concepts in real analysis and algebra, constructing clear proofs and formal arguments.
  • Model and analyse quantitative phenomena using differential equations and statistical inference.
  • Use discrete, optimisation, and computational tools to formulate and solve problems, communicating solutions effectively.

From the University's minor program documents. Confirm with your UG Advisor before you plan around a pathway.

Mathematics

Department of Mathematics

The Minor in Mathematics offers non-mathematics majors a rigorous and useful mathematical toolkit, blending conceptual foundations with problem-solving methods that support applications across science, engineering, economics, data-centric fields, and industry. Through core courses in analysis, algebra, differential equations, and statistics, students learn to think precisely, work with abstract structures, and model real-world phenomena, while electives allow tailoring towards discrete mathematics, optimisation, geometry, computation, finance, or machine learning. Overall, the Minor promotes mathematical maturity — careful reasoning, clear communication, and the ability to transfer techniques to new contexts — while preparing interested students for further study in mathematics.