Mathematics with Data Science MMath - 2027/8
Awarding body
University of Surrey
Teaching institute
University of Surrey
Framework
FHEQ Level 7
Final award and programme/pathway title
MMath Mathematics with Data Science
Subsidiary award(s)
| Award | Title |
|---|---|
| BSc (Hons) | Mathematics with Data Science |
| Ord | Mathematics with Data Science |
| DipHE | Mathematics with Data Science |
| CertHE | Mathematics with Data Science |
Professional recognition
Institute of Mathematics and its Applications (IMA)
This programme will meet the educational requirements of the Chartered Mathematician designation, awarded by the Institute of Mathematics and its Applications, when it is followed by subsequent training and experience in employment to obtain equivalent competences to those specified by the Quality Assurance Agency (QAA) for taught masters degrees.
Modes of study
| Route code | Credits and ECTS Credits | |
| Full-time | UGB19009 | 480 credits and ECTS credits |
| Full-time with PTY | UGB19010 | 600 credits and 300 ECTS credits |
QAA Subject benchmark statement (if applicable)
Other internal and / or external reference points
N/A
Faculty and Department / School
Faculty of Engineering and Physical Sciences - Mathematics & Physics
Programme Leader
BEVAN Jonathan (Maths & Phys)
Date of production/revision of spec
19/05/2026
Educational aims of the programme
- To give students training in transferable problem solving skills, logical and analytical thinking, with computing used as a tool in the learning process
- To introduce students to a range of ideas and methods from classical and modern mathematics informed by recent developments in the subject
- To present appropriate theory, methods and applications in pure and applied mathematics, informed by recent developments in those subjects where appropriate
- To present implications and applications of mathematical and statistical thinking, and their role in other disciplines
- To provide a high quality teaching and learning environment that facilitates a steady progression from secondary level mathematics to FHEQ Level 7, and to prepare students for a lifetime of learning
Programme learning outcomes
| Attributes Developed | Awards | Ref. | |
| A thorough understanding of core mathematical principles | KC | DipHE, Ord, BSc (Hons), MMath | |
| Well-developed problem solving and analytical skills | KC | DipHE, Ord, BSc (Hons), MMath | |
| A grounding in statistical reasoning | KC | CertHE, DipHE, Ord, BSc (Hons), MMath | |
| An ability to use computers, both for scientific computation and for general applications | PT | CertHE, DipHE, Ord, BSc (Hons), MMath | |
| An appreciation of the ways in which mathematical thinking can be utilised in the real world | KC | CertHE, DipHE, Ord, BSc (Hons), MMath | |
| Acquisition of specialist knowledge and understanding, especially towards the later stages of the programme. | KC | Ord, BSc (Hons), MMath | |
| A thorough understanding of statistical principles and the ways in which statistical thinking can be used | KC | Ord, BSc (Hons), MMath | |
| Analyse and solve mathematical problems proficiently | KC | Ord, BSc (Hons), MMath | |
| Appreciate ways in which mathematical thinking can be utilised in the real world | C | Ord, BSc (Hons), MMath | |
| Work under supervision on a placement that requires mathematical skills (programme with placement year only) | PT | Ord, BSc (Hons), MMath | |
| Use computers and IT for data analysis and presentation, scientific computation and general purpose applications | PT | CertHE, DipHE, Ord, BSc (Hons), MMath | |
| Information literacy skills, including the ability to research, summarise and understand mathematical topics and to reference it in an academically rigorous way | KCPT | Ord, BSc (Hons), MMath | |
| Demonstrate knowledge of the underlying concepts and principles associated with mathematics and statistics, including calculus and linear algebra | K | CertHE, DipHE, Ord, BSc (Hons), MMath | |
| Demonstrate a reasonable level of skill in calculation, manipulation and interpretation of mathematical quantities within an appropriate context | KCP | CertHE, DipHE, Ord, BSc (Hons) | |
| Demonstrate an ability to develop and communicate straightforward lines of argument and conclusions reasonably clearly | KCP | Ord, BSc (Hons), MMath | |
| Demonstrate an ability to make sound judgements in accordance with basic mathematical concepts | KCT | CertHE, DipHE, Ord, BSc (Hons), MMath | |
| Demonstrate basic programming skills. | PT | CertHE, DipHE, Ord, BSc (Hons), MMath | |
| Demonstrate knowledge and critical understanding of well-established mathematical concepts and principles | KC | CertHE, DipHE, Ord, BSc (Hons), MMath | |
| Demonstrate an ability to apply mathematical concepts and principles in a previously unseen context | KC | CertHE, DipHE, Ord, BSc (Hons), MMath | |
| Demonstrate knowledge of common mathematical techniques and an ability to select an appropriate method to solve mathematical problems | KC | CertHE, DipHE, Ord, BSc (Hons), MMath | |
| Demonstrate competent use of programming skills to solve mathematical problems | PT | DipHE, Ord, BSc (Hons), MMath | |
| Demonstrate knowledge of the framework within which mathematical techniques and results are valid. | K | Ord, BSc (Hons), MMath | |
| Demonstrate detailed knowledge of advanced principles of selected areas of mathematics that they have chosen to study | K | Ord, BSc (Hons), MMath | |
| Demonstrate application of advanced mathematical techniques of selected areas of mathematics that they have chosen to study | KC | Ord, BSc (Hons), MMath | |
| Demonstrate judgement in the selection and application of tools and techniques to solve mathematical problems, some of which are at the forefront of areas of mathematical knowledge | KC | Ord, BSc (Hons), MMath | |
| Demonstrate the ability to construct a mathematical argument | C | Ord, BSc (Hons), MMath | |
| Understand the context within which mathematical techniques and results are valid. | C | Ord, BSc (Hons), MMath | |
| Demonstrate systematic understanding of advanced principles of selected areas of mathematics that they have chosen to study | C | BSc (Hons), MMath | |
| Demonstrate accurate application of advanced mathematical techniques of selected areas of mathematics that they have chosen to study | KC | BSc (Hons), MMath | |
| Demonstrate the ability to select an appropriate approach and use it accurately to solve mathematical problems, some of which are at the forefront of areas of mathematical knowledge | KC | BSc (Hons), MMath |
Attributes Developed
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Programme structure
Full-time
This Integrated Master's Degree (Honours) programme is studied full-time over four academic years, consisting of 480 credits (120 credits at FHEQ levels 4, 5, 6 and 7). All modules are semester based and worth 15 credits with the exception of project, practice based and dissertation modules.
Possible exit awards include:
- Bachelor's Degree (Honours) (360 credits)
- Bachelor's Degree (Ordinary) (300 credits)
- Diploma of Higher Education (240 credits)
- Certificate of Higher Education (120 credits)
Full-time with PTY
This Integrated Master's Degree (Honours) programme is studied full-time over five academic years, consisting of 600 credits (120 credits at FHEQ levels 4, 5, 6, 7 and the optional professional training year). Modules are either 15 credits or multiples of 15 credits.
Possible exit awards include:
- Bachelor's Degree (Honours) (360 credits)
- Bachelor's Degree (Ordinary) (300 credits)
- Diploma of Higher Education (240 credits)
- Certificate of Higher Education (120 credits)
Programme Adjustments (if applicable)
N/A
Modules
Year 1 - FHEQ Level 4
| Module code | Module title | Status | Credits | Semester |
|---|---|---|---|---|
| MAT1030 | CALCULUS | Compulsory | 15 | 1 |
| MAT1031 | ALGEBRA | Compulsory | 15 | 1 |
| MAT1032 | REAL ANALYSIS 1 | Compulsory | 15 | 1 |
| MAT1033 | PROBABILITY AND STATISTICS | Compulsory | 15 | 1 |
| MAT1034 | LINEAR ALGEBRA | Compulsory | 15 | 2 |
| MAT1036 | CLASSICAL DYNAMICS | Compulsory | 15 | 2 |
| MAT1042 | MATHEMATICAL PROGRAMMING AND PROFESSIONAL SKILLS | Compulsory | 15 | 2 |
| MAT1043 | MULTIVARIABLE CALCULUS | Compulsory | 15 | 2 |
Year 2 - FHEQ Level 5
Year 3 - FHEQ Level 6
Module Selection for Year 3 - FHEQ Level 6
Students must select MAT3052 Bayesian Inference for Data Science and at least one of the two modules MAT3051 Mathematics of Data Science, MAT3054 Mathematical Time Series. A total of 8 modules should be selected overall and not more than 4 modules may be selected in any one Semester. At most one of the modules MAT3018 Literature Review I, MAT3036 Literature Review II can be selected. Students who choose one or more optional modules from the list MAT3057, MAT3009, MAT3040, MAT3041, MAT3051 should be aware that the corresponding Year M variants, which are respectively MATM077, MATM078, MATM073, MATM076, MATM079, cannot then be chosen at Level M.
Year 4 - FHEQ Level 7
Module Selection for Year 4 - FHEQ Level 7
In any given year, a subset of the modules will be available. Students must select MATM080 MMath Project and then select four modules from the options available. Students who chose one or more optional modules from the list MAT3057, MAT3009, MAT3040, MAT3041, MAT3051 in Year 3 should be aware that the corresponding Year M variants, which are respectively MATM077, MATM078, MATM073, MATM076, MATM079, cannot then be chosen at Level M.
Year 1 (with PTY) - FHEQ Level 4
| Module code | Module title | Status | Credits | Semester |
|---|---|---|---|---|
| MAT1030 | CALCULUS | Compulsory | 15 | 1 |
| MAT1031 | ALGEBRA | Compulsory | 15 | 1 |
| MAT1032 | REAL ANALYSIS 1 | Compulsory | 15 | 1 |
| MAT1033 | PROBABILITY AND STATISTICS | Compulsory | 15 | 1 |
| MAT1034 | LINEAR ALGEBRA | Compulsory | 15 | 2 |
| MAT1036 | CLASSICAL DYNAMICS | Compulsory | 15 | 2 |
| MAT1042 | MATHEMATICAL PROGRAMMING AND PROFESSIONAL SKILLS | Compulsory | 15 | 2 |
| MAT1043 | MULTIVARIABLE CALCULUS | Compulsory | 15 | 2 |
Year 2 (with PTY) - FHEQ Level 5
Year 3 (with PTY) - FHEQ Level 6
Module Selection for Year 3 (with PTY) - FHEQ Level 6
Students must select MAT3052 Bayesian Inference for Data Science and at least one of the two modules MAT3051 Mathematics of Data Science, MAT3054 Mathematical Time Series. A total of 8 modules should be selected overall and not more than 4 modules may be selected in any one Semester. At most one of the modules MAT3018 Literature Review I, MAT3036 Literature Review II can be selected. Students who choose one or more optional modules from the list MAT3057, MAT3009, MAT3040, MAT3041, MAT3051 should be aware that the corresponding Year M variants, which are respectively MATM077, MATM078, MATM073, MATM076, MATM079, cannot then be chosen at Level M.
Professional Training Year (PTY) -
| Module code | Module title | Status | Credits | Semester |
|---|---|---|---|---|
| MAT3009 | MANIFOLDS AND TOPOLOGY | Core | 15 | Year-long |
| MATP009 | PROFESSIONAL TRAINING YEAR MODULE (FULL-YEAR STUDY) | Core | 120 | Year-long |
Module Selection for Professional Training Year (PTY) -
Students must choose either MATP008 or MATP009
Year 4 (with PTY) - FHEQ Level 7
Module Selection for Year 4 (with PTY) - FHEQ Level 7
In any given year, a subset of the modules will be available. Students must select MATM080 MMath Project and then select four modules from the options available. Students who chose one or more optional modules from the list MAT3057, MAT3009, MAT3040, MAT3041, MAT3051 in Year 3 should be aware that the corresponding Year M variants, which are respectively MATM077, MATM078, MATM073, MATM076, MATM079, cannot then be chosen at Level M.
Opportunities for placements / work related learning / collaborative activity
| Associate Tutor(s) / Guest Speakers / Visiting Academics | N | |
| Professional Training Year (PTY) | N | |
| Placement(s) (study or work that are not part of PTY) | Y | The University offers students the opportunity to study abroad with partner institutions in various countries. These exchanges typically take place in the second year of study, and so far our students have studied at North American Universities. |
| Clinical Placement(s) (that are not part of the PTY scheme) | N | |
| Study exchange (Level 5) | N | |
| Dual degree | N |
Other information
This programme aligns with the University of Surrey¿s Five Pillars of Curriculum Design: Global and Cultural Capabilities, Employability, Digital Capabilities, Resourcefulness and Resilience, and Sustainability.
Global and Cultural Capabilities: Students engage with mathematical topics and applications of global relevance and cultural significance. Examples include models used in economics and environmental studies across different regions of the world, demonstrating the universal applicability of mathematics. Topics such as climate modelling and disease spread illustrate how mathematical tools help address global challenges and prepare students to work in diverse cultural contexts.
Employability: The programme develops strong mathematical knowledge and problem-solving abilities valued by employers. These skills are applicable to complex challenges in sectors such as finance, engineering, data science and technology. Graduates gain the ability to analyse problems using logical reasoning, critical thinking and quantitative methods.
Digital Capabilities: Students build digital proficiency through programming, computational tools and data analysis. In particular, they gain experience using Python for symbolic computation, implementing algorithms and running simulations, enabling them to apply mathematical knowledge in digital environments.
Resourcefulness and Resilience: Engagement with abstract concepts and challenging problems encourages adaptability, creativity and independent thinking. Students are encouraged to explore multiple approaches to solutions, while the persistence required to solve complex problems develops resilience.
Sustainability: Mathematics supports the analysis of patterns, prediction of trends and design of efficient solutions that reduce environmental impact. Applications such as modelling energy consumption and optimising water quality demonstrate how quantitative methods can contribute to addressing sustainability challenges.
Quality assurance
The Regulations and Codes of Practice for taught programmes can be found at:
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2027/8 academic year.