Mathematics with Data Science BSc (Hons) - 2025/6

Awarding body

University of Surrey

Teaching institute

University of Surrey

Framework

FHEQ Level 6

Final award and programme/pathway title

BSc (Hons) Mathematics with Data Science

Subsidiary award(s)

Award Title
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 UGB10019 360 credits and 180 ECTS credits
Full-time with PTY UGB10020 480 credits and 240 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

16/04/2026

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 6, and to prepare students for a lifetime of learning

Programme learning outcomes

Attributes Developed Awards Ref.
A thorough understanding of core mathematical principles K DipHE, Ord, BSc (Hons)
Well-developed problem solving and analytical skills K DipHE, Ord, BSc (Hons)
A grounding in statistical reasoning K CertHE, DipHE, Ord, BSc (Hons)
An ability to use computers, both for scientific computation and for general applications, and demonstrate basic programming skills. KT CertHE, DipHE, Ord, BSc (Hons)
An appreciation of the ways in which mathematical thinking can be utilised in the real world K CertHE, DipHE, Ord, BSc (Hons)
Acquisition of specialist knowledge and understanding, especially towards the later stages of the programme. K Ord, BSc (Hons)
A thorough understanding of statistical principles and the ways in which statistical thinking can be used K Ord, BSc (Hons)
Analyse and solve mathematical problems proficiently C Ord, BSc (Hons)
Work under supervision on a placement that requires mathematical skills (programme with placement year only) C Ord, BSc (Hons)
Use computers and IT for data analysis and presentation, scientific computation and general purpose applications P CertHE, DipHE, Ord, BSc (Hons)
Information literacy skills, including the ability to research, summarise and understand mathematical topics and to reference it in an academically rigorous way T Ord, BSc (Hons)
Demonstrate knowledge of the underlying concepts and principles associated with mathematics and statistics, including calculus and linear algebra K CertHE, DipHE, Ord, BSc (Hons)
Demonstrate a reasonable level of skill in calculation, manipulation and interpretation of mathematical quantities within an appropriate context KCT CertHE, DipHE, Ord, BSc (Hons)
Demonstrate an ability to develop and communicate straightforward lines of argument and conclusions reasonably clearly KCT CertHE, DipHE, Ord, BSc (Hons)
Demonstrate an ability to make sound judgements in accordance with basic mathematical concepts KCT CertHE, DipHE, Ord, BSc (Hons)
Demonstrate knowledge and critical understanding of well-established mathematical concepts and principles KC DipHE, Ord, BSc (Hons)
Demonstrate an ability to apply mathematical concepts and principles in a previously unseen context KC DipHE, Ord, BSc (Hons)
Demonstrate knowledge of common mathematical techniques and an ability to select an appropriate method to solve mathematical problems KC DipHE, Ord, BSc (Hons)
Demonstrate competent use of programming skills to solve mathematical problems PT DipHE, Ord, BSc (Hons)
Demonstrate knowledge of the framework within which mathematical techniques and results are valid K DipHE, Ord, BSc (Hons)
Demonstrate detailed knowledge of advanced principles of selected areas of mathematics that they have chosen to study K BSc (Hons)
Demonstrate application of advanced mathematical techniques of selected areas of mathematics that they have chosen to study KC Ord, BSc (Hons)
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 BSc (Hons)

Attributes Developed

C - Cognitive/analytical

K - Subject knowledge

T - Transferable skills

P - Professional/Practical skills

Programme structure

Full-time

This Bachelor's Degree (Honours) programme is studied full-time over three academic years, consisting of 360 credits (120 credits at FHEQ levels 4, 5 and 6). 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 (Ordinary) (300 credits)
- Diploma of Higher Education (240 credits)
- Certificate of Higher Education (120 credits)

Full-time with PTY

This Bachelor'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 the optional professional training year). 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 (Ordinary) (300 credits)
- Diploma of Higher Education (240 credits)
- Certificate of Higher Education (120 credits)

Programme Adjustments (if applicable)

N/A

Modules

Year 3 - FHEQ Level 6

Module Selection for Year 3 - FHEQ Level 6

Students must select at least one of MAT3051, MAT3054. If one of these modules is selected, an additional 7 modules (or 6 if the BSc project is selected) must be chosen. If both MAT3051 and MAT3054 are selected, an additional 6 modules (or 5 if the BSc project is selected) must be chosen. Not more than 4 modules may be taken in any one Semester.

Students may not select more than one module from MAT3018, MAT3019, MAT3036, PHY3063 with the exception of MAT3018 and PHY3063 which can both be selected.

A subset of optional Level 6 modules will run in a given academic year.

Year 2 (with PTY) - FHEQ Level 5

Module Selection for Year 2 (with PTY) - FHEQ Level 5

Students must choose 2 from 6 optional modules in addition to taking the 6 compulsory modules. Not more than 4 modules may be taken in any one Semester.

Year 3 (with PTY) - FHEQ Level 6

Module Selection for Year 3 (with PTY) - FHEQ Level 6

Students must select at least one of MAT3051, MAT3054. If one of these modules is selected, an additional 7 modules (or 6 if the BSc project is selected) must be chosen. If both MAT3051 and MAT3054 are selected, an additional 6 modules (or 5 if the BSc project is selected) must be chosen. Not more than 4 modules may be taken in any one Semester.

Students may not select more than one module from MAT3018, MAT3019, MAT3036, PHY3063 with the exception of MAT3018 and PHY3063 which can both be selected.

A subset of optional Level 6 modules will run in a given academic year.

Professional Training Year (PTY) -

Module Selection for Professional Training Year (PTY) -

N/A

Opportunities for placements / work related learning / collaborative activity

Associate Tutor(s) / Guest Speakers / Visiting Academics N
Professional Training Year (PTY) Y
Placement(s) (study or work that are not part of PTY) Y Yes
Clinical Placement(s) (that are not part of the PTY scheme) N
Study exchange (Level 5) Y
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:

https://www.surrey.ac.uk/quality-enhancement-standards

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 2025/6 academic year.