Teaching

In maths you will learn by methods such as:

  • lectures
  • tutorials with debates and discussions
  • workshops
  • computer assisted learning
  • practical classes during which you design, carry out and analyse experiments

We also teach the use of professional mathematical software packages in order to allow you to explore maths beyond the limits of traditional teaching. This also prepares you for the way in which mathematicians work across various industries.

For psychology, throughout Levels 1-4 you will engage in research, moving from assigned and specified activities or studies to more independent practical work.

Most modules at Levels 1 and 2 have two lectures and one tutorial or workshop each week, including online workshops.

At Level 3 you will have lectures each week and tutorials centring around coursework. At Level 4, teaching is in much smaller groups and our module options are based on the research expertise of our staff, and vary slightly from year to year.

In your final year a supervisor will oversee a dissertation project where you will apply your research skills.

Assessment

Assessments are carried out through coursework and exams, and vary in type and weighting from module to module. Methods of assessment include:

  • exams
  • continuous assessment
  • coursework
  • homework
  • computer assignments
  • class tests
  • projects
  • essays
  • posters
  • oral presentations
  • carrying out and reporting psychological experiments
  • scientific practical reports
  • online multiple-choice questions
  • workbooks

Core Modules

These modules are an essential part of your course.

Module code: MA11001 Credits: 20 Semester: Semester 1

Develop the foundations of university-level mathematics through functions, algebra, calculus, sequences, series, and complex numbers. Build the problem-solving and analytical skills needed for advanced study in mathematics and physics, and for careers that rely on quantitative thinking. 

Core Modules

These modules are an essential part of your course.

Module code: MA21001 Credits: 20 Semester: Semester 1

Develop the mathematical maturity needed for advanced study in mathematics and physics. Explore linear algebra, calculus, vector spaces, eigenvalues, and functions of two variables. 

Core Modules

These modules are an essential part of your course.

Module code: MA31002 Credits: 20 Semester: Semester 1

Learn how mathematics describes change.

Study analytical methods for solving first and second order differential equations, including systems of equations, and develop the skills to model motion, growth, and oscillation.

Optional Modules

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

Module code: MA32005 Credits: 20 Semester: Semester 2

Model real-world systems using numerical methods. Learn to solve equations, simulate dynamics, and code like a computational scientist.

Core Modules

These modules are an essential part of your course.

Module code: MA42008 Credits: 20 Semester: Semester 1

Discover the mathematics behind reliable data analysis.

Study probability distributions, estimation, hypothesis testing, regression, and generalised linear models.

Use R to connect mathematical statistics with real data analysis and evidence-based decision-making.

Optional Modules

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

Module code: MA40001 Credits: 40 Semester: Both Semester 1 and 2

Complete your own substantial mathematics project.

Work with an academic supervisor, explore a topic in depth, and present your mathematical work through a technical dissertation, oral presentation, and viva.

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