Data Science with International Foundation Year (2025)
1. Programme Title:Data Science with International Foundation Year |
NQF Level: |
6 |
|---|
2. Description of the Programme (as in the Business Approval Form) |
|---|
This is a 4-year undergraduate degree programme with a fully embedded International Foundation Year. During the International Foundation year, you will develop your English language, academic skills, and subject knowledge, in a favourable learning environment at INTO, designed to meet your specific needs. Your learning is well paced and supported with a generous allocation of teaching time. The Foundation year of the programme consists of: · Two academic content modules · A module in English language for academic study · A module in current issues and research skills. You will explore the academic content modules through studying and applying core concepts and principles, whilst developing the relevant technical and communication skills. The Foundation year will give you experience of the expectations of study as a university student, while at the same time enabling you to benefit from small-group academic tuition and tutorial support. In the following year, depending on your achieving the required academic and linguistic standards, you will move to the Faculty of Environment, Science and Economy (FESE) and join the first year of a Data Science degree programme.
The BSc Data Science degree is an innovative inter-disciplinary taught course designed with industry and aimed at students wishing to work or research in data science. The course will cover the core areas of mathematics (discrete maths, fundamentals of machine learning and computational maths) and computer science (programming; object-oriented programming; software development; database theory and design). It will also include new modules which will introduce students to applied data science (e.g. machine learning, data structure & algorithm, AI & applications, computational intelligence, HPC, Big Data, Cloud) as well as social context (e.g. governance, ethics, business applications). Research projects in each academic year will allow students to develop research and project management skills in an area of interest, using real world datasets, guided by a leading academic supervisor. |
3. Educational Aims of the Programme |
|---|
The Foundation year of the BSc Data Science with International Foundation Year programme aims to help you meet the linguistic and academic requirements for progression to the first, and subsequent stages of a Data Science degree at Exeter. Through the International Foundation Year of the programme, we aim to: a) Enable you to increase your knowledge and skills in your given discipline to a level equivalent to A-level study b) Help you to improve your English to the level required for entry onto a BSc Data Science degree at the University of Exeter, making sure that you can use written and spoken language appropriately in an academic context c) Help you to develop the necessary study skills and approaches to learning required in undergraduate level study d) Develop your independent research and study skills e) Provide you with the technical, communication and personal skills that you will need both in your further studies and in employment f) Introduce you to the culture of academic study in a UK higher education institution Through the BSc Data Science stages of the programme we aim to: a) provide a high-quality general education in data science comprising a balanced core of key knowledge together with the opportunity to study a range of selected topics in more depth; b) develop the analytical abilities of students so that they can identify and apply appropriate data science techniques and methods to solve problems in a range of application areas; c) equip students with knowledge and experience of theoretical and practical data science techniques and practices; d) develop in students appropriate subject-specific, core academic and personal and key skills in order to prepare them for a wide range of employment opportunities;
generate in students an enthusiasm for the subject of data science and involve them in a demanding, interesting and intellectually stimulating learning experience reinforced by appropriate academic and pastoral tutorial support. |
4. Programme Structure |
|---|
Your BSc Data Science with International Foundation year programme is a 4-year programme of study at National Qualification Framework (NQF) level 6 (as confirmed against the FHEQ). This programme is divided into 4 ‘Stages’. Each Stage is normally equivalent to an academic year. The programme is also divided into units of study called ‘modules’ which are assigned a number of ‘credits’. The credit rating of a module is proportional to the total workload, with 1 credit being nominally equivalent to 10 hours of work.
The Foundation year of your programme will be taught by INTO University of Exeter with the subsequent 3 stages being taught by the departments at the University. |
5. Programme Modules |
|---|
Foundation Stage
| Code | Title | Credits | Compulsory | NonCondonable |
|---|---|---|---|---|
| INTO052 | Foundation Academic English | 30 | Yes | Yes |
| INTO053 | Current Global Issues | 30 | Yes | No |
| INTO065 | Mathematics and Statistics | 30 | Yes | No |
| Select 30 credits from the list below: | ||||
| INTO063 | Biology and Chemistry | 30 | No | No |
| INTO064 | Economics and Finance | 30 | No | No |
| INTO066 | Media, Film, and Literature | 30 | No | No |
| INTO067 | Physics, Engineering and Applied Mathematics | 30 | No | No |
| INTO068 | Business Management and Accounting | 30 | No | No |
| INTO069 | Psychology and Physiology | 30 | No | No |
| INTO070 | Social and Environmental Sciences | 30 | No | No |
Stage 1:120 credits compulsory modules
| Code | Title | Credits | Compulsory | NonCondonable |
|---|---|---|---|---|
| ECM1400 | Programming | 15 | Yes | Yes |
| ECM1407 | Social and Professional Issues of the Information Age | 15 | Yes | No |
| ECM1410 | Object-Oriented Programming | 15 | Yes | Yes |
| ECM1413 | Computers and the Internet | 15 | Yes | No |
| ECM1414 | Data Structures and Algorithms | 15 | Yes | No |
| ECM1415 | Discrete Mathematics for Computer Science | 15 | Yes | No |
| ECM1416 | Computational Mathematics | 15 | Yes | No |
| COM1011 | Fundamentals of Machine Learning | 15 | Yes | No |
120 credits of compulsory modules
Stage 2
| Code | Title | Credits | Compulsory | NonCondonable |
|---|---|---|---|---|
| ECM2414 | Software Development | 15 | Yes | No |
| ECM2419 | Database Theory and Design | 15 | Yes | No |
| MTH2006 | Statistical Modelling and Inference | 30 | Yes | No |
| COM2011 | Machine Learning and Data Science | 15 | Yes | No |
| COM2020 | Team Project | 15 | Yes | No |
| Select 30 credits from | ||||
| COM2014 | Computational Intelligence | 15 | No | No |
| Free choice elective | 15 | No | No | |
Stage 3
| Code | Title | Credits | Compulsory | NonCondonable |
|---|---|---|---|---|
| COM3021 | Data Science at Scale | 15 | Yes | No |
| ECM3401 | Individual Literature Review and Project | 45 | Yes | Yes |
| COM3031 | Probabilistic Machine Learning | 15 | Yes | No |
| You may select up to 45 credits from: | ||||
| ECM3408 | Enterprise Computing | 15 | No | No |
| ECM3412 | Nature Inspired Computation | 15 | No | No |
| ECM3422 | Computability and Complexity | 15 | No | No |
| COM3024 | Computer Vision | 15 | No | No |
| COM3029 | Social Networks and Text Analysis | 15 | No | No |
| ECM3428 | Algorithms that Changed the World | 15 | No | No |
| ECM3446 | High Performance Computing | 15 | No | No |
| MTH3019 | Mathematics: History and Culture | 15 | No | No |
| MTH3024 | Stochastic Processes | 15 | No | No |
| MTH3028 | Statistical Inference: Theory and Practice | 15 | No | No |
| MTH3041 | Bayesian statistics, Philosophy and Practice | 15 | No | No |
| MTH3044 | Bayesian Data Modelling | 15 | No | No |
| You may select up to 30 credits of other options | ||||
| EMP3001 | Commercial and Industrial Experience | 15 | No | No |
| Free choice elective | 30 | No | No | |
6. Programme Outcomes Linked to Teaching, Learning & Assessment Methods |
||||
|---|---|---|---|---|
| On successfully completing the programme you will be able to: | Intended Learning Outcomes (ILOs) will be accommodated & facilitated by the following learning & teaching and evidenced by the following assessment methods: | |||
A Specialised Subject Skills & KnowledgeOn successfully completing the Foundation stage of the programme you will be able to: 1 Describe key theories, concepts and information within specific subject areas, as determined by the pathway you are following. 2 Apply the knowledge, theories and concepts you have learnt from your studies to respond to new contexts. 3 Read widely about your subject, going beyond the basic texts. 4 Operate in English effectively, including in the context of your discipline, and with the skills necessary for an academic context. On successfully completing the subsequent stages of the programme you will be able to:
Demonstrate an understanding of:
| Learning & Teaching ActivitiesThe Foundation stage of the programme will be facilitated by the following: ILOs 1-3 are developed through the information within specific subject modules through lectures, seminars, discussion and group work, either in person or online. You will also be set asynchronous activities. You will also develop your research skills in a subject area of your choice, following consultation with your teacher. ILO is developed in English language classes in the compulsory English module including teacher-led groups, seminars and set tasks within subject modules. You develop the skills necessary in the context of your academic discipline. The Subsequent stages of the programme will be facilitated by the following:
ILOs 1-3 are developed through the information within specific subject modules through lectures, seminars, discussion and group work, either in person or online. You will also be set asynchronous activities. You will also develop your research skills in a subject area of your choice, following consultation with your teacher. ILO is developed in English language classes in the compulsory English module including teacher-led groups, seminars and set tasks within subject modules. You develop the skills necessary in the context of your academic discipline. The Subsequent stages of the programme will be facilitated by the following:
| |||
Assessment MethodsThe Foundation stage of the programme will haev the following assessment methods The assessment of ILOs 1-3 will vary slightly depending on the particular modules you choose but will largely be assessed through written exams, case studies, essays, portfolios and exhibitions. ILO 4 – whilst assessment of this ILO is embedded, to an extent, across the programme, the focus of English language assessment is the compulsory English language module. Assessment comprises a writing task, seminar, a reading to writing exam and a presentation. The Subsequent stages of the programme will bhave the following assessment methods
| ||||
B Academic Discipline Core Skills & KnowledgeOn successfully completing the Foundation stage of the programme you will be able to: 5 Present an argument which is coherent and supported with evidence from wider reading. 6 Analyse and evaluate information. 7 Apply relevant theories, procedures or skills to solving practical problems or analyse situations. 8 Demonstrate appropriate academic literacy practices, using citation and providing bibliographies correctly. On successfully completing the subsequent stages of the programme you will be able to:
1) Think logically; 7) Demonstrate a capacity for critical evaluation of argument and evidence. | Learning & Teaching ActivitiesThe Foundation stage of the programme will be facilitated by the following: ILOs 5-7 are developed through teacher-led classes which include group work and supported by evidence from wider presentations and seminar discussions. The Subsequent stages of the programme will be facilitated by the following:
| |||
Assessment MethodsThe Foundation stage of the programme will haev the following assessment methods ILO5 is assessed through extended writing in and through other written tasks and a group seminar (INT0052). ILOs 6 and 7 are assessed in all subject modules, through both exams and a range of coursework assignments. ILO8 is assessed through a project report and essays. The Subsequent Stages of the programme will haev the following assessment methods
Written coursework (ILOs B1-B7) | ||||
C Personal / Transferable / Employment Skills & KnowledgeOn successfully completing the Foundation stage of the programme you will be able to: 9 Work in multiple ways, taking responsibility for your own learning both individually and with others. 10 Present your work to others, communicating logically and effectively in the written or spoken form. 11 Assess your performance against given criteria. 12 Undertake straightforward research tasks (collecting and interpreting information) within a given framework and with guidance. On successfully completing the subsequent stages of the programme you will be able to:
1) Manage a data science project from inception to delivery; | Learning & Teaching ActivitiesThe Foundation stage of the programme will haev the following assessment methods ILOs 9 and 10 are developed in the process of acquiring subject knowledge and core academic skills, partly through the development of a project which focuses on developing research methods and working semi-autonomously. This fundamental skill is embedded throughout the programme. The ILOs are also developed through class discussions and group work in the English language and other modules. ILO 11 is developed through the process of formative assessment and feedback.
ILO 12 is developed through preparation for assessment and research tasks across the modules.Attending lectures, tutorials, practical workshops.
| |||
Assessment MethodsThe Foundation stage of the programme will have the following assessment methods: ILOs 9 and 10 are assessed through the projects INT0053, as you demonstrate independent research skills on a topic of your choice. You will also work collectively to organise an academic exhibition. ILO 10 is also assessed through presentations in the English language module in addition to coursework assignments and exams. ILO 11 is assessed through a student portfolio in one of the compulsory modules. ILO12 is explicitly assessed in the small-scale research assignment that you conduct and write up as a report. The Subsequent stages of the programme will have the following assessment methods:
| ||||
7. Programme Regulations |
|---|
Credit
The pass mark for award of credit in an individual module is 40%. Progression You can progress from the Foundation stage to stage 1 provided that you have achieved a mark of at least 60% in Mathematics and Statistics (INT0065), 65% in Foundation Academic English (INT0052), and an average mark of at least 65% across the following 90 credits: INT0053, INT0065, and one module to be chosen from INT0063, INT0064, INT0066, INT0067, INT0068, INT0069, INT0070. You can then progress to the next stage (or the final year, to proceed to the award of an honours degree) once at least 90 credits have been passed in a stage, and provided that an average of at least 40% has been achieved over the 120 credits of assessment for that stage.
You must have registered for and participated in modules amounting to at least 120 credits in the stage. You must pass the modules marked with a 'Yes' in the 'non-condonable' column in the tables above. Assessment and Awards UG Programmes: Assessment at stage one does not contribute to the summative classification of the award. The award will normally be based on the degree mark formed from the credit weighted average marks for stages 2 and 3 combined in the ratio 1:2 respectively. Classification The marking of modules and the classification of awards broadly corresponds to the following marks: Undergraduate Degrees Postgraduate Degrees Class I 70% + Distinction 70%+ Class II Division I 60-69% Merit 60-69% Class II Division II 50-59% Pass 50-59% Class III 40-49% Full details of assessment regulations for UG programmes and PGT programmes assessment regulations can be found in the Teaching Quality Assurance Manual (TQA) on the University of Exeter website. Generic marking criteria are also published here. Please see the Teaching and Quality Assurance Manual for further guidance. |
8. College Support for Students and Students' Learning |
|---|
Personal and Academic tutoring: It is University policy that all Colleges should have in place a system of academic and personal tutors. The role of academic tutors is to support you on individual modules; the role of personal tutors is to provide you with advice and support for the duration of the programme and extends to providing you with details of how to obtain support and guidance on personal difficulties such as accommodation, financial difficulties and sickness. You can also make an appointment to see individual teaching staff. For the Foundation stage, INTO University of Exeter also provides · Its own computer suites, printing facilities and AccessAbility · One-to-one language tutorials to support subject assignments · Dedicated support for applications for further study
· Language counsellors who speak a range of languages and who provide pastoral care and can communicate in the student’s own native languageA social programme specifically for INTO University of Exeter students |
10. Admission Criteria |
|---|
(Standard entry) All applications are considered individually on merit. The University is committed to an equal opportunities policy with respect to gender, age, race, sexual orientation and/or disability when dealing with applications. It is also committed to widening access to higher education to students from a diverse range of backgrounds and experience. Candidates must satisfy the general admissions requirements of the University of Exeter. For entry to the BSc Data Science with International Foundation Year, academic entry requirements are: Normal completion of 12 years of education; A-Levels at grades DDE 64 points (140 old) (local language A/AS Levels are accepted); IB 20 points; Country-specific entry qualifications can be obtained from INTO Admissions. English: IELTS 5.5 with a minimum of 5.5 in all subskills (or equivalent) Minimum grade C in GCSE Maths; IB Maths SL 3 / HL 2 or A/AS grade E/D in Maths if not offered at O Level / GCSE; Unless otherwise specified, subjects recognised must relate to ‘academic’ subjects or modules only
|
11. Regulation of Assessment and Academic Standards |
|---|
Each academic programme in the University is subject to an agreed College assessment and marking strategy, underpinned by institution-wide assessment procedures. |
12. Indicators of Quality and Standards |
|---|
Certain programmes are subject to accreditation and/or review by professional and statutory regulatory bodies (PSRBs). |
| 14 | Awarding Institution | University of Exeter | |
|---|---|---|---|
| 15 | Lead College / Teaching Institution | Faculty of Environment, Science and Economy | |
| 16 | Partner College / Institution | INTO | |
| 17 | Programme accredited/validated by | ||
| 18 | Final Award(s) | BSc (Hons) | |
| 19 | UCAS Code (UG programmes) | DSWIFY | |
| 20 | NQF Level of Final Awards(s): | 6 | |
| 21 | Credit (CATS and ECTS) | 480/240 | |
| 22 | QAA Subject Benchmarking Group (UG and PGT programmes) | ||
| 23 | Origin Date | March 11th 2025 | Last Date of Revision: | March 13th 2025 |
|---|


