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Mathematical Sciences

Mathematical Sciences

Taught

MSc

  • Overview
  • Application Timeline
  • Tuition
  • Requirements
  • Modules
  • About
  • Subject Area Information
  • Career
  • Similar courses

Overview

The MSc in Mathematical Sciences is a 12-month, research-led program offering flexible module selection across various mathematical fields. Students engage in a dissertation project, enhancing critical thinking and communication skills. Graduates are prepared for diverse careers or further academic pursuits.

Application Timeline

  1. September 1, 2025
    Start date
  2. April 6, 2026
    Today

Tuition

Year 1
Student categories Study
Full-time Part-time
England£13,000N/A
Northern Ireland£13,000N/A
Scotland£13,000N/A
Wales£13,000N/A
Channel Islands£13,000N/A
EU£30,500N/A
International£30,500N/A

Requirements

Entry Requirements:
Language Requirements

Language requirements information is currently unavailable.

Modules

  • Advanced Probability

    Optional
  • Advanced Mathematical Biology

    Optional
  • Advanced Quantum Theory

    Optional

About

Program Highlights

The 12-month MSc in Mathematical Sciences offers a research-led education with a focus on the latest techniques in various mathematical fields.

Course Flexibility

This fully flexible course allows students to:

  • Select up to six modules from a stream of over a dozen options.
  • Explore topics such as:
    • Statistical modelling techniques for data analysis
    • Cryptology for banking and internet security
    • Machine learning techniques for scientific applications
    • Quantum computing for supply chain improvements

Research Component

The final months are dedicated to researching and producing a dissertation on a current mathematical research...

Subject Area Information

Mathematical modelling is a multidisciplinary field that involves the application of mathematical techniques and theories to represent, analyze, and solve real-world problems.

Typical Course Structure
  • 1. Introduction to Mathematical Modelling

  • 2. Differential Equations and Dynamical Systems

  • 3. Statistical Modelling and Data Analysis

  • 4. Computational Modelling and Simulation

  • 5. Optimization and Operations Research

  • 6. Advanced Topics in Mathematical Modelling

Typical Skills Acquired
  • Analytical Thinking
  • Problem-Solving
  • Programming and Computational Skills
  • Statistical Analysis
  • Interdisciplinary Knowledge

Career

Graduates with expertise in mathematical modelling have a wide array of career opportunities, utilizing their skills in various fields.

Potential Professions
  • Data Scientist

    Utilizing statistical and computational models to analyze and interpret complex data sets.

  • Operations Research Analyst

    Applying optimization techniques to improve organizational efficiency and decision-making.

  • Financial Analyst

    Using mathematical models to assess financial risks and opportunities.

  • Epidemiologist

    Modelling the spread of diseases to inform public health strategies.

  • Environmental Scientist

    Developing models to predict environmental changes and assess the impact of human activities.

  • Engineering Analyst

    Applying mathematical models to design and optimize engineering systems and processes.

Similar courses

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Palatine Centre, Stockton Road, Durham, DH1 3LE
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Contact

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Palatine Centre, Stockton Road, Durham, DH1 3LE
Get expert guidance

Enhance your academic journey with the help from our experts.

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