Mathematics

HBSc co-specialisation. Pure and applied mathematics underpins everything from ML to Physics to Data Science.

Courses include:

  • Real Analysis I & II
  • Linear Algebra II (abstract)
  • Differential Equations (ordinary and partial)
  • Abstract Algebra
  • Stochastic Processes
  • Combinatorics and Graph Theory

Why it matters

Linear algebra is the language of ML. Probability theory is Statistics. Analysis gives rigour to numerical methods. Graph theory applies to network algorithms.

Related: Statistics, Physics, Data Science, ML