Help & enquiries
- Admission enquiries
- admissions@plymouth.ac.uk
- +44 1752 585858
- PlymUniApply
A supportive environment with great facilities and opportunities to gain work experience.
Why Plymouth is an exciting place to study mathematics
Discover what its like to study mathematics at Plymouth and how it can provide a firm basis for a successful career.
Develop your skills, knowledge and confidence with a work placement
"Applying the technical skills learnt in my degree to real problems has been invaluable".
Babbage Building: where engineering meets design
A state-of-the-art space to inspire creativity and collaboration on our campus.
MATH1701
Mathematical Reasoning
20 credits
This module will introduce the basic reasoning skills needed for the development and applications of modern mathematics. It also introduces Python as a new tool for exploring and applying mathematics to real world problems. The importance of logical thinking will be investigated in various mathematical topics. This will include fundamental properties of prime numbers, their random generation and use in cryptography.
60% Coursework
40% Tests
MATH1702
Calculus
20 credits
Calculus underpins mathematical modelling in science, finance and industry. This module gives students the ability to calculate accurately and efficiently. Key results are proven and calculus is extended to higher dimensions through partial differentiation and multiple integration. The methods covered in this module will be used by students throughout the rest of their degree.
60% Examinations
40% Coursework
MATH1703
Linear Algebra
20 credits
Vectors and matrices are fundamental in mathematics, and central to its applications in statistics, physics, data science, and engineering. This module develops practical skills in handling vectors and matrices, explores the mathematical structure of linear spaces, and elucidates their deep connections with analytic geometry.
60% Examinations
40% Coursework
MATH1704
Analysis and Group Theory
20 credits
In this module we explore two fundamental areas of pure mathematics. Analysis provides a rigorous foundation of calculus, while group theory introduces important algebraic structures that are used in many branches of pure mathematics and their applications. A rigorous approach will be taken in both topics, with emphasis on proof. Python will be used to illustrate and investigate cutting edge applications.
60% Tests
40% Coursework
MATH1705
Probability
20 credits
An understanding of uncertainty and random phenomena is becoming increasingly important in daily life and in the modern workplace. The aim of this module is to develop the concept of chance in a mathematical framework. Random variables are introduced, with examples involving some common distributions, and the concepts of expectation, variance and correlation are investigated using mathematical tools.
60% Examinations
40% Coursework
MATH1706
Numerical Methods
20 credits
In mathematics, solving most real world problems requires the use of computers. This module introduces computational mathematics and algorithms . Students will use mathematical software interactively and write programs in Python. The numerical methods which underlie industrial, scientific and financial applications will be studied.
60% Examinations
40% Coursework
BPIE213
Stage 2 Mathematics Placement Preparation
0 credits
These sessions are designed to help students obtain a year-long placement in the third year of their programme. Students are assisted both in their search for a placement and in their preparation for the placement itself.
COMP2002
Artificial Intelligence
20 credits
This module provides students with an introduction to the principles of artificial intelligence and the methods used in that field. Topics covered include search and optimisation, knowledge representation and reasoning, and machine learning. Students will gain experience of modelling and simulation, and will apply analytical tools to evaluating results, and will consider the ethical implications of the introduction of AI.
100% Coursework
MATH2701
Advanced Calculus
20 credits
In this module the geometrical and dynamical concepts needed to describe higher-dimensional objects are introduced. This includes vector calculus techniques and new forms of integration, such as line integration. Students also explore the relationships between integration and differentiation in higher dimensions. We apply advanced calculus to problems from areas such as mechanics and electromagnetism.
70% Examinations
30% Coursework
MATH2702
Statistical Inference and Regression
20 credits
This module provides a mathematical treatment of statistical methods for learning from the data abounding in the modern world. Confidence intervals and hypothesis testing are studied. Methods of estimation are explored, focusing on the maximum likelihood method. The module demonstrates the underlying theory of the general linear model. Applications are implemented using the professional statistical software, R.
70% Examinations
30% Coursework
MATH2703
Algebra and Transforms
20 credits
This module introduces mathematical structures called rings and fields, which capture properties of objects such as integers, real numbers or polynomials. These structures are used to explore error-correcting codes for data transmission. Calculus is used to introduce Laplace and Fourier transforms, and Fourier series. They are applied to solve differential equations and uncover identities involving irrational numbers.
70% Examinations
30% Coursework
MATH2704
Differential Equations
20 credits
Differential equations are used to describe changes in nature. This module introduces methods to find exact solutions to ordinary differential equations, and numerical solutions to ordinary and partial differential equations. Extensive use will be made of computational tools. The behaviour of higher dimensional systems will be analysed using the theory of continuous dynamical systems.
70% Examinations
30% Coursework
MATH2705
Operational Research
20 credits
This module gives students the opportunity to work on open-ended case studies in Operational Research (OR) and Monte Carlo methods, both of which play an important role in many areas of industry and finance. Students work both on their own and in teams to develop expertise in Operational Research and programming. They will refine their presentation and communication skills, so enhancing their employability.
75% Coursework
25% Practicals
UCAS tariff
112 - 128
Contextual offers: Typically, the contextual offer for this course is 8 points below the advertised tariff. A contextual offer is an offer to study at university that takes into account individual circumstances that are beyond your control, and that can potentially impact your learning and your exam results, or your confidence in applying to university.
Student | 2024-2025 | 2025-2026 |
---|---|---|
Home | £9,250 | £9,250 |
International | £18,100 | £18,650 |
Part time (Home) | £770 | £770 |
To reward outstanding achievement the University of Plymouth offers scholarship schemes to help towards funding your studies.