Modules

Year 1
Core modules:
Computational Thinking explores the breadth of computer science and the ways in which the different topics are linked. You will learn the importance of computation and computational thinking in the modern world and the impact it has on technology advances in different settings.

Algorithms and Data Structures introduces the theory and practice of problem-solving in computing through the development of algorithms and their associated data structures, for common computer science problems. Content included machine modelling, control flow structures and analysis of algorithms.

Calculus builds on ideas of differentiation and integration in A level mathematics. The module begins with functions of a single variable before moving on to functions of several variables. Topics include methods of solving ordinary and partial differential equations, and an introduction to Taylor series, Fourier series and Fourier transforms.

Linear Algebra presents mathematical ideas, techniques in linear algebra and develops the geometric intuition and familiarity with vector methods you will need for more challenging material later in the course.

Probability introduces mathematical ideas on probability in preparation for more demanding material later in the course. The module builds problem solving skills through the exploration of a mathematical subject of relevance to the real-world (applied) that is based on rigorous mathematical foundations (pure).

Statistics introduces frequentist and Bayesian approaches and demonstrates the relevance of these principles and procedures using real problems. This introductory module lays the foundations for all subsequent study of statistics.

In recent years, option modules have included:
Computer Systems
Programming
Year 2
All second-year modules are chosen from options.

In recent years option modules have included:
Theory of Computation
Programming Paradigms
Artificial Intelligence
Data Science
Probability
Statistical Modelling
Statistical Inference
Data Science and Statistical Computing
Algebra.
Year 3 (Year 4 if undertaking a placement or year abroad)
You can choose from several opportunities for the final-year individual Project. Using the knowledge and tools from the course you will complete either a detailed and critical examination of a relevant area of computer science; investigate a topic of interest; or perform an in-depth analysis of a data set under the supervision of a member of academic staff. The project further develops your skills and ability to plan and manage your own learning, and then present your findings and conclusions.

The remainder of the year is made up of option modules, which in recent years have included:
Algorithmic Game Theory
Bioinformatics
Deep Learning
Human-AI Interaction Design
Recommender Systems
Reinforcement Learning
Natural Computing Algorithms
Advanced Statistical Modelling
Bayesian Computation and Modelling
Cryptography And Codes
Decision Theory
Machine Learning and Neural Networks
Mathematical Finance
Operations Research
Stochastic Processes
Science Enterprise.

Assessment methods

Some modules are assessed entirely through coursework (which may involve problem solving exercises, practical work and assignments) and others by examination, while others are by a combination of methods.

The final-year project is an opportunity to bring your prior learning to a project of your choice. The project is completed under the supervision of an academic from your chosen subject area and makes up one-third of your final-year marks.

Tuition fees

Select where you currently live to see what you'll pay:

Extra funding

We're committed to supporting the best students irrespective of financial circumstances. https://www.durham.ac.uk/study/scholarships/