Date of entry

September 2024

Teaching

You will learn by traditional methods such as:

  • lectures
  • tutorials
  • practical lab sessions
  • computer lab classes
  • problem classes

You will also meet regularly with an academic adviser of studies who will provide guidance and support throughout your degree.

Assessment

Our methods of assessment include:

  • exams
  • extended assignments
  • weekly problems
  • formal reports
  • practical lab work
  • in-class presentations as individuals and/or groups
  • practical research methods

Core Modules

These modules are an essential part of your course.

Module code: EG11006 Credits: 10 Semester: Semester 1

Core Modules

These modules are an essential part of your course.

Module code: MA21001 Credits: 20 Semester: Semester 1

Optional Modules

You need to choose one or more of these modules as part of your course.

Module code: MA21002 Credits: 20 Semester: Semester 2

Core Modules

These modules are an essential part of your course.

Module code: MA31002 Credits: 15 Semester: Semester 1

Optional Modules

You need to choose one or more of these modules as part of your course.

Module code: MA32001 Credits: 15 Semester: Semester 1

This module examines analysis, which is an area of pure mathematics forming the foundation for other areas of maths. The concept of convergence is also covered, which forms part of the framework used by computers to solve complicated equations for mathematical models in physics, biology, and economics.

Core Modules

These modules are an essential part of your course.

Module code: MA40002 Credits: 30 Semester: Both Semester 1 and 2

Optional Modules

You need to choose one or more of these modules as part of your course.

Module code: MA41007 Credits: 15 Semester: Semester 1

Graph theory is an area of pure mathematics that can be applied to networks and structures.

This module will introduce you to the key properties of graphs and allow you to use theory of graphs to solve real-world problems.

Core Modules

These modules are an essential part of your course.

Module code: PH50008 Credits: 30 Semester: Both Semester 1 and 2

This module allows you to undertake a supervised, independent physics project after completing a mathematics project in Level 4.

Your project will be laboratory-based, computational, theoretical, or a combination thereof, and will likely be embedded in an active research group. Project topics include medical physics, microscopy, astrophysics, and computational biophysics.

Optional Modules

You need to choose one or more of these modules as part of your course.

Module code: MA51004 Credits: 15 Semester: Semester 1
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