BSc/MComp Computer Science and Mathematics

February 2022

All credits in ECTS (30 credits/semester)

BSc MComp

Y1 (both MComp and BSc)

• Mathematics
  • S1: “Core pure and statistical mathematics A” (15 credits) consisting of Algebra; Probability & Statistics; Sequences & Functions.
  • S2: “Core pure and statistical mathematics B” (15 credits) consisting of Algebra; Probability & Statistics; Sequences & Functions.
• CS
  • S1: 10-credits Programming
  • S2: 10-credits Programming.
  • Year-long: 10-credits AI.

No transferring to maths courses after first few-weeks of S1.

Y2 - MComp

30-credits of CS:

• Year-long: Software Project; Algorithms & Complexity; Machine Learning (10-credits each).

30-credits of Mathematics:

• S1: Compulsory units “Statistics 2A” (10 credits) and “Algebra 2A” (5 credits).
• S2: Compulsory units “Statistics 2B” (5 credits) and 10-credits “Algebra 2B” (10 credits).

Y2 - BSc

For mathematics, BSc students take core units

• S1: Compulsory unit 10-credits “Statistics 2A”.
• S2: Compulsory unit 5-credits “Statistics 2B”.

This is supplemented by

S1: One option from “Probabilistic Modelling”; “Algebra 2A” (5-credits each).

S2: One option from “Probability Theory”; “Numerical Analysis”; “Algebra 2B” (10-credits each).

Y3 - MComp

• CS: Year-long: 20-credits Individual Project and 1x10-credit option.

• Maths: Choose either

  • Algebra pathway:

    S1 “Differential Geometry of Curves and Surfaces”; “Numbers & Codes”, “Projective Geometry” (5-credits each).

    S2 “Groups and their Representations” (10 credits); “Introduction to Topology” (5 credits).

  • Or Statistics pathway:

    S1 “Statistical Modelling & Data Analytics A” (10 credits); “Bayesian Statistics” (5 credits).

    S2: “Statistical Modelling & Data Analytics B” (10 credits); “Medical Statistics” (5 credits).

Y3 BSc

• On the maths side, BSc students can choose any of the options from the MComp and the following additional units (subject to prerequisites) totaling from 10 to 20 credits/semester.

  S1: “Stochastic Processes & Martingales”; “Numerical Linear Algebra” (10-credits each).

  S2: “Probability & Finance” (5 credits); “Discrete Probability” (5 credits); “Graph Theory” (5credits); “Inverse Problems and Numerical Optimisation” (10 credits).

Y4

• 40-credits CS project.

• 20-credits of mathematics.

  • Either Algebra pathway:

    S1: “Algebraic Geometry”, “Galois Theory” (5-credits each).

    S2: “Advanced Number Theory”, “Algebraic Topology” (5-credits each).

  • or Statistics pathway:

    S1: “Advanced Statistical Modelling A” (10 credits).

    S2: “Advanced Statistical Modelling B” (10 credits).

See interactive map for math options (TBC).