Data science makes use of and highlights new challenges throughout mathematics.
Some of the most prevalent notions used in data science are algorithms, modelling
and probability. Students interested in data science will benefit from the general
prelims curriculum, with the Trinity term course “Statistics and Data Analysis” the
first offering specifically in data science. Part A students wishing to pursue data
science are strongly encouraged to take A8 Probability and A7 Numerical Analysis.
Additional courses aligned with data science include:
MT B6.3 Integer Programming
B8.1 Probability, Measure and Martingales
B8.4 Information Theory
B8.5 Graph Theory
HT B5.1 Stochastic Modelling of Biological Processes
B8.2 Continuous Martingales and Stochastic Calculus
B8.3 Mathematical Models of Financial Derivatives
MT C6.1 Numerical Linear Algebra
C8.1 Stochastic Differential Equations
HT C3.9 Computational Algebraic Topology
C5.10 Mathematics and Data Science for Development
C6.2 Continuous Optimisation
C6.5 Theories of Deep Learning
C8.2 Stochastic Analysis and PDEs
C8.4 Probabilistic Combinatorics
Spec04 Mathematical Analytics
In addition to the above courses offered by the Mathematical Institute, students are strongly
encouraged to consider electives from Statistics, Computer Science, and Engineering departments.
Each of these courses offer numerous courses in data science and a student interested in a career in data science should experience the views of this topic from multiple departments.