Mathematical Sciences

Program Overview

The MSc in Mathematical Sciences at Durham University is a 12-month research-led program offering a flexible structure with over 30 optional modules in pure mathematics, applied mathematics, statistics, and probability. Graduates are equipped for careers in the public and private sectors, as well as further academic pursuits in mathematics or related fields. The program features a world-class research-led education, with internationally recognized specialists teaching the latest techniques in their respective fields.

Program Outline

Degree Overview:

The MSc in Mathematical Sciences is a 12-month program that provides a research-led education in pure mathematics, applied mathematics, statistics, and probability. It offers a flexible structure, allowing students to choose up to six modules from a range of over 30 options based on their specific interests. This program aims to equip graduates with the skills and knowledge necessary for careers in the public and private sectors, as well as to prepare them for further academic pursuits in mathematics or related fields.

Outline:

The MSc in Mathematical Sciences consists of six optional modules, each with around 200 hours of workload. Each module includes 50 hours of contact time through lectures and problem classes, with the remaining time dedicated to independent study and assignments. The program culminates in a dissertation on a current research topic, supported by 10 hours of one-to-one supervision.

Core Module:

• MSc Dissertation: A 40-60 page report on a chosen research topic, developing critical thinking and communication skills.

Optional Modules:

• Advanced Quantum Theory
• Algebraic Topology
• Analysis
• Ergodic Theory
• Fluid Mechanics
• Functional Analysis and Applications
• General Relativity
• Geometry
• Mathematical Finance
• Number Theory
• Partial Differential Equations
• Probability
• Representation Theory
• Riemannian Geometry
• Solitons
• Statistical Mechanics
• Stochastic Analysis
• Stochastic Processes
• Superstrings
• Topics in Algebra and Geometry
• Topics in Applied Mathematics
• Topics in Combinatorics
• Topics in Statistics

Additional Optional Modules:

• Advanced Statistical Modelling
• Bayesian Computation and Modelling
• Codes and Cryptography
• Decision Theory
• Differential Geometry
• Dynamical Systems
• Galois Theory
• Geometry of Mathematical Physics
• Machine Learning and Neural Networks
• Mathematical Biology
• Operations Research
• Quantum Computing
• Quantum Mechanics
• Topology
Students can choose five modules from the initial list and one from the additional list, or create a combination of modules from both lists to fit their interests and career goals.

Assessment:

Assessment methods vary depending on the module. Most modules involve written examinations, assignments, and practical assessments. Some statistics-based modules also include computer-based exams. The dissertation accounts for one-third of the final grade, with the remaining two-thirds based on the taught modules.

Teaching:

The program features a research-led approach, with internationally recognized specialists teaching the latest techniques in their respective fields. The teaching methods include lectures, problem classes, and one-to-one supervision for the dissertation.

Careers:

Graduates of the MSc in Mathematical Sciences are equipped for a variety of careers in the public and private sectors. They can pursue roles as research scientists, teachers, statisticians, operational researchers, investment analysts, actuaries, insurance analysts, and accountants. The program also prepares students for further research at the PhD level in mathematics or related disciplines.

Other:

• The program starts in early October and finishes the following September.
• The Department of Mathematical Sciences offers a world-class research-led education, with expertise in pure mathematics, applied mathematics, statistics, probability, and theoretical particle physics.
• The department is part of MAGIC, a consortium of universities offering distance learning via interactive access-grid technology.
It is also a member of the Academy for PhD Training in Statistics (APTS).
• The department is housed in a modern building with state-of-the-art facilities, including a student project space, open-plan workspaces, and the Hazan Venture Lab.
• Fees and Funding
• Entry Requirements
• Program Code
• Start Date
• How to Apply

Full Time Fees

Tuition fees

Home students £12,250 per year EU students £27,900 per year Island students £12,250 per year International students £27,900 per year The tuition fees shown are for one complete academic year of full time study, are set according to the academic year of entry, and remain the same throughout the duration of the programme for that cohort (unless otherwise stated).