BSc Natural Sciences with Foundation Year
Please note: This page is for 2026 entry. Click here for 2027 entry.
| UCAS code | CGF1 |
|---|---|
| Duration | 4 year integrated degree programme: 1 year Foundation plus 3 year undergraduate degree programme |
| Entry year | 2026 |
| Campus | Streatham Campus |
| Typical offer | A-Level: BBC
|
|---|---|
Why study BSc Natural Sciences with Foundation Year at Exeter?
- You'll cover the core mathematics required to successfully complete a Natural Sciences degree at the University of Exeter.
- Learn in a friendly, structured environment where you'll be supported academically and personally as you prepare to study a Natural Sciences undergraduate degree.
- Provided you achieve the specific progression criteria, you will progress into Year 1 of our BSc in Natural Sciences programme.
- Depending on your qualifications, you may be able to transfer to an undergraduate degree in Computer Science, Data Science, Engineering, Mathematics or Physics after completing the Foundation year. See the list of degree pathways below.
1st in the sector for student satisfaction in 4 out of 7 themes
National Student Survey 2025: Natural Sciences
2nd in the UK for Natural Sciences
The Times and The Sunday Times Good University Guide 2026
Study across Biology, Chemistry, Computer Science, Mathematics and Physics
Varied and exciting career options
Our students go on to excel in a huge variety of roles after graduating, including studying for a PhD.
Eligibility criteria
Who this course is for
This course is open to UK-domiciled students who:
- meet our contextual offer eligibility criteria, or are classed as Mature Students,
- pay 'Home' tuition fees
- and who have not met the entry requirements for first year entry, or have not been able to take A-Level Mathematics alongside a BTEC L3 Extended Diploma.
If you are an international student looking for a Foundation course, please visit our International Study Centre.
Typical offer
| Qualification | Typical offer | Required subjects |
|---|---|---|
| A-Level | BBC | B in Maths and B in either Physics, Chemistry or Biology. We will also accept AS Maths at A or Core Maths at A in lieu of A-Level Maths. |
| IB | 28/554 | HL 5 in Maths and HL 5 in either Physics, Chemistry or Biology. |
| BTEC | DDM |
See below. |
| GCSE | 4/C | Grade C or 4 in GCSE English language. |
| Access to HE | 18 L3 credits at Distinction grade and 27 L3 credits at Merit grade | 12 L3 credits at Merit Grade in Maths and 12 L3 credits at Merit grade in either Physics, Chemistry or Biology. |
| T-Levels | T-Levels not accepted | N/A |
NB General Studies is not included in any offer.
BTEC subject requirements
Applicants studying one of the following BTEC Extended Diplomas will be considered without GCE A-Level Maths and Science subjects: Engineering; Aeronautical Engineering; Electrical and Electronic Engineering; Manufacturing Engineering; Mechanical Engineering; Applied Science; Forensic and Criminal Investigation.
Applicants studying Applied Human Biology in the BTEC Diploma or BTEC Extended Certificate will be considered without the GCE A-Level Science requirement (GCE A-Level Maths is still required).
Applicants taking the BTEC Diploma or BTEC Extended Certificate in Applied Science will be considered dependent on modules taken. (GCE A-Level Maths is still required.)
More about applying
We believe that fair access to higher education is a fundamental enabler for social mobility and are committed to delivering this through our education. We aim to widen participation and raise attainment - bridging gaps in retention, progression and success - to ensure our students enjoy the best possible outcome.
In support of the University’s Access and Participation Plan this course is only open to UK domiciled students who meet our contextual offer eligibility criteria and who may not have met the entry requirements for first year entry or have not been able to take A-level Mathematics alongside a BTEC L3 Extended Diploma. Check if you are eligible to join this programme on our contextual offer webpages.
Grades advertised on each programme webpage are the typical level at which our offers are made and provide information on any specific subjects an applicant will need to have studied in order to be considered for a place on the programme. However, if we receive a large number of applications for the programme we may not be able to make an offer to all those who are predicted to achieve/have achieved grades which are in line with our typical offer. For more information on how applications are assessed and when decisions are released, please see: After you apply.
This programme is accredited to meet the educational requirements of the Society of Natural Sciences (SocNatSci).
Course content
The Foundation Year is part of an integrated 4 year undergraduate degree programme. The information below relates to the Foundation Year only. Please see our 'pathways' below for further information and details of the modules available on the degree programmes you can progress to from the Foundation Year.
The course comprises of 90 credits of core maths, to elevate students’ knowledge to A-Level grade A standard, plus some aspects of the further maths curriculum, but concentrating on developing core mathematical skills.
The other 30 credits comprise a project that includes key skills for university study.
You may notice changes to some of our modules over the coming months. This is because we are making space for the following:
- Minors: Future Skills Pathways - Alongside your main degree you may be eligible (depending on your course) to choose modules from another subject to broaden your skills and interests.
- Skills to Thrive built into every degree - Essential skills for your future, including communication, problem-solving, teamwork and digital confidence.
- Increased innovation and wellbeing - More room for creative learning, real-world projects and a healthier study rhythm.
The modules below provide examples of what you can expect to learn on this degree course based on recent academic teaching. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand.
Please note that the module information displayed here is subject to change.
Compulsory modules
| Code | Module | Credits |
|---|---|---|
| Compulsory 1 | ||
| Principles of Pure Mathematics | 30 | |
| Exploring Mathematics | 15 | |
| Foundation Statistics | 15 | |
| Science: Skills and Culture | 30 | |
| Applied Mathematics | 15 | |
| Programming Skills | 15 | |
MTH0001: Principles of Pure Mathematics
This module develops core mathematical skills essential for progression into a degree in mathematics or other quantitative disciplines. It lays the foundation of Algebra, Trigonometry, Calculus and complex numbers for more advanced mathematical studies by bringing you to a level of knowledge and competence equivalent to the pre-requisite for a first year mathematics at any quantitative degree programme. In this module you will get a grasp of Algebra, which is the study of symbolic representations and the rules for manipulating symbols such as the skills required in ‘backwards thinking’. You will develop competency to confidently manipulate algebraic expressions, to solve equations and inequalities, as well as to explore functional relationships. Calculus is another part of mathematics to cover in this module, which is concerned with the study of continuous changes, and has two branches, differential calculus (the study of measuring rates of change) and integral calculus (the study of accumulation of quantities), which are precisely linked by the Fundamental Theorem of Calculus. You will also learn about Trigonometry and complex numbers. Those skills are fundamental tools for the study of mathematics across the physical, engineering, life and environmental sciences. In this module you will also learn how to: use theories, definitions and properties; analyse mathematical statements; use logic and critical thinking to perform mathematics; present findings and communicate results in a coherent way.
MTH0003: Exploring Mathematics
This module is designed to develop an understanding of the nature of mathematics and mathematical thinking. It takes you on a voyage of exploration of how mathematics was invented and developed. For millennia BC, mathematics was used for various purposes such as in the study of planets and their motions as well as in construction and trading, and since then the study of mathematics was expanded and new branches were explored. The module aims to enhance your ability to use mathematical reasoning, abstraction and logic while enjoying the process of learning and performing mathematical procedures. In its first theme, it focuses on the concept of number sets and cardinality, where notions like, ‘infinity’ are discussed and explored through examples and simple proofs. The second theme develops an understanding of the mathematical language through an illustration of symbolic representations, patterns and relationships, such as the relationship between the number of spirals in a pine cone (a natural pattern) and the famous Fibonacci sequence (a number pattern), showing how those patterns are linked to other parts of mathematics such as geometry, arithmetic and probability. This is followed by a third theme about Euclidean geometry featuring some of its intriguing theorems and properties, including simple geometrical proofs, it also covers some aspects of coordinate geometry and transformations.
MTH0004: Foundation Statistics
In this module you will earn an understanding of statistical modelling and how it is used to help us understand and predict the world around us. Statistics is the study and analysis of data which is usually applied to a scientific problem in order to draw conclusions about a population. In this module you will learn about mathematical models in probability and statistics; correlation and regression; inference and comparison of models; discrete and continuous distribution; sampling and hypothesis testing to statistical modelling. You will apply the theory to analyse and draw conclusions from a range of real-world data sets. The module will provide you with skills bridging the gap between the material covered prior to a university level and that of a first year degree programme.
You will have weekly scheduled sessions led by the module instructor/convenor. During those sessions you will be introduced to the topic through lecture presentations, learning materials, worked examples provided exercise worksheet, and computer lab practicals. In this module you will learn how to: analyse and interpret data using R; capply and present probability distributions for discrete and continuous random variables; perform sampling and hypothesis testing; present findings and communicate results in a coherent way. You will be assessed through a combination of summative assessments: 2 online reports, a test, and a final exam.
MTH0005: Science: Skills and Culture
The purpose of this module is twofold: to introduce you to scholarly communication, including creation, exploration, publication and discovery of findings, through a wide range of research and pedagogical activities we exercise in science, computing, engineering and mathematics at the University of Exeter and beyond, as well as to develop an understanding of how academic research is conducted in your chosen degree programme. The module aims to promote academic literacy and to raise awareness about research practice in areas of science, computing, engineering and mathematics. The creative application of knowledge in these fields is key for innovation, and has played a profound role in overcoming some of the big challenges worldwide.
The first part of the module aims to provide a broader understanding about academic skills in research practice, including the search for resources, observation and understanding of the objectives and the methodology used, extraction of ideas, ability to think critically and evaluate findings, and the effective interpretation of complex results supported by appropriate dissemination media (Journal publications, blogs, laboratory reports, conference presentations, etc.). While the second part is concerned with developing your research portfolio by undertaking projects through which you will connect with experts, learn, observe and conduct experiments related to your chosen degree programme.
MTH0006: Applied Mathematics
This module introduces you to mathematical modelling to understand and solve a range of problems concerning real physical systems. You will explore and learn about kinematics of a particle, Newtonian dynamics and its applications. You will also learn about vectors in mechanics and the use of calculus in the modelling of physical systems, as well as how to use theories and mathematical techniques to analyse and reformulate a given problem and communicate results.
One of the main objectives of this module is to develop your ability to use mathematical representations and to recognise their importance for understanding and modelling real-world problems. In which case, a sound foundation of core mathematical machinery is necessary to work out solutions. The module will act as a building block for further advanced studies in mathematics, engineering and applied sciences. The knowledge and skills developed in this module will ease adaptability and engagement with courses in your undergraduate degree programme.
MTH0007: Programming Skills
This module introduces students to the foundations of programming and problem-solving by computer. Students will learn how to formulate and structure an algorithm to solve a problem, as well as acquire skills to write, test and debug programs. They will also learn how to use programming to perform some numerical computations. At the end of this module, students should be able to use computer programming in their own work and studies, The knowledge and skills developed in this module will ease adaptability and engagement with courses in their undergraduate degree programme.
Students are expected to have knowledge of Principles of Pure Mathematics (MTH0001).
This module is an introductory course in computer programming and will introduce you to the fundamental concepts of computer algorithms and programming, with an emphasis on practical implementation. You will also learn how to apply analytical and problem-solving skills to the design and implementation of small applications.
Degree progression pathways
In term 1 of your Foundation Year, it is sometimes possible to transfer to a different degree pathway, depending on your attainment and previous qualifications. In the second term, you will specialise in your chosen course.
The courses listed below are the pathway options available for these integrated 4-year undergraduate degree programmes.
Taught at Streatham Campus, Devon:
- Artificial Intelligence with Foundation Year BSc
- Biomedical Engineering with Foundation Year BEng
- Chemical Engineering with Foundation Year BEng
- Civil Engineering with Foundation Year BEng
- Computer Science with Foundation Year BSc
- Data Science with Foundation Year BSc
- Electrical and Electronic Engineering with Foundation Year BEng
- Engineering with Foundation Year BEng
- Mechanical Engineering with Foundation Year BEng
- Mathematics with Foundation Year BSc
- Natural Sciences with Foundation Year BSc
- Physics with Foundation Year BSc
- Robotics and Artificial Intelligence with Foundation Year BEng
Taught at Penryn Campus, Cornwall:
- Environmental Engineering with Foundation Year BEng
- Mining Engineering with Foundation Year BEng
- Renewable Energy Engineering with Foundation Year BEng
- Systems Engineering with Foundation Year BEng
Please note: The foundation year takes place at our Streatham Campus in Devon. For degree pathways based at our Penryn Campus, Cornwall, you will move campuses after completing your Foundation Year.
We’re really proud of our foundation programme pathways which demonstrate our commitment to widening access to our computer science, data science, engineering, maths, physics and natural science programmes.
For any student who has not had the opportunity to demonstrate their true ability in A-Level maths, whether through educational disadvantage, exceptional circumstances or a change in ambition, this programme offers an alternative route into STEM at Exeter.
Professor Nicola King
Associate Pro-Vice-Chancellor, Education
Fees
Tuition fees for 2026 entry
UK students: £9,790 per year
Scholarships
The University of Exeter offers a wide range of scholarships to support your education, with £7 million available for international students applying to study with us in the 2026/27 academic year, including our prestigious Exeter Excellence Scholarships*. We also provide scholarships for sport, music and other achievements, alongside regional and partner awards such as Chevening, The Beacon Trust and the British Council. Financial support is available for students from disadvantaged backgrounds, lower income households and other under-represented groups to help them access, succeed and progress through higher education.
* Terms and conditions, including deadlines, apply. See our website for details.
Learning and teaching
The way you learn at university may be different from what you have experienced before. Depending on your course, you may encounter a variety of teaching methods.
In the Foundation year of this programme, you will experience a range of teaching and learning activities including lectures, workshops, tutorials, group projects/presentations and/or seminars. The mathematics modules at this stage comprise of 90 credits in total, while 'Science: Skills and Culture' module is 30 credits. You should expect your total workload to average about 40 hours per week during term time including guided independent study hours.
Visit the BSc in Natural Sciences course page for details of the Learning and Teaching methods for the subsequent years of the degree programme.
A research and practice led culture
You will benefit from teaching by academic staff comprising of internationally-recognised experts active across a wide range of topics in your chosen degree programme. As you progress through your degree, you will hear about the latest research and have opportunities (for example, the independent research project) to become involved in a research project yourself.
Private study and support
You will be allocated a personal tutor who will be happy to advise or put you in touch with support services, and you are encourage to discuss subject related questions with tutors and lecturers who advertise regular office hours. Extra support is available, for example through our peer mentor scheme, and we have an active student-staff liaison committee.
Assessment
Modules are assessed by a combination of summative assessments. You must pass your foundation year and meet the progression criteria to progress to Year 1 of the BSc in Natural Sciences with a foundation year, but the results do not count towards your degree classification.
Your future
Our aim is to teach a syllabus that you will find intellectually challenging, rewarding and stimulating. In addition, to help you develop as a scientist so that you can make a real contribution to the exciting research taking place at the University of Exeter and to important scientific developments long after your graduation.
Many employers look for graduates with a background in a broad based multidisciplinary science degree, as it allows them to tackle problems holistically.
Our courses help students to develop a wide range of key skills for employment and further study such as analytical problem solving, teamwork, and organising and communicating information.
Upon completing one of our degrees our graduates are highly employable and have found positions working in a wide variety of related roles including laboratory-based positions, industry, law, business, management, teaching and government.
