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Study information

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.

Interim Awards


If you do not complete the programme you may be able to exit with a lower qualification.  If you have achieved 120 credits in the Foundation stage, you may be awarded a Foundation Certificate.  If you have achieved over 120 credits following stage one, you may be awarded a Certificate of Higher Education in Data Science, and if you achieve 240 credits, where at least 90 credits are at NQF Level 5 or above, you may be awarded a Diploma of Higher Education in Data Science.

5. Programme Modules

Foundation Stage

Code Title Credits Compulsory NonCondonable
INTO052Foundation Academic English30YesYes
INTO053Current Global Issues30YesNo
INTO065Mathematics and Statistics30YesNo
Select 30 credits from the list below:
INTO063Biology and Chemistry30NoNo
INTO064Economics and Finance30NoNo
INTO066Media, Film, and Literature30NoNo
INTO067Physics, Engineering and Applied Mathematics30NoNo
INTO068Business Management and Accounting30NoNo
INTO069Psychology and Physiology30NoNo
INTO070Social and Environmental Sciences30NoNo

Stage 1:120 credits compulsory modules

Code Title Credits Compulsory NonCondonable
ECM1400Programming15YesYes
ECM1407Social and Professional Issues of the Information Age15YesNo
ECM1410Object-Oriented Programming15YesYes
ECM1413Computers and the Internet15YesNo
ECM1414Data Structures and Algorithms15YesNo
ECM1415Discrete Mathematics for Computer Science15YesNo
ECM1416Computational Mathematics15YesNo
COM1011Fundamentals of Machine Learning15YesNo

120 credits of compulsory modules

Stage 2

Code Title Credits Compulsory NonCondonable
ECM2414Software Development15YesNo
ECM2419Database Theory and Design15YesNo
MTH2006Statistical Modelling and Inference30YesNo
COM2011Machine Learning and Data Science15YesNo
COM2020Team Project15YesNo
Select 30 credits from
COM2014Computational Intelligence15NoNo
Free choice elective15NoNo

Stage 3

Code Title Credits Compulsory NonCondonable
COM3021Data Science at Scale15YesNo
ECM3401Individual Literature Review and Project45YesYes
COM3031Probabilistic Machine Learning15YesNo
You may select up to 45 credits from:
ECM3408Enterprise Computing15NoNo
ECM3412Nature Inspired Computation15NoNo
ECM3422Computability and Complexity 15NoNo
COM3024Computer Vision15NoNo
COM3029Social Networks and Text Analysis15NoNo
ECM3428Algorithms that Changed the World15NoNo
ECM3446High Performance Computing 15NoNo
MTH3019Mathematics: History and Culture15NoNo
MTH3024Stochastic Processes15NoNo
MTH3028Statistical Inference: Theory and Practice15NoNo
MTH3041Bayesian statistics, Philosophy and Practice15NoNo
MTH3044Bayesian Data Modelling15NoNo
You may select up to 30 credits of other options
EMP3001Commercial and Industrial Experience15NoNo
Free choice elective 30NoNo

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 & Knowledge

On 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:



1)    A range of fundamental concepts and techniques from computer science, mathematics, probability, statistics, machine learning, programming, data science and AI;

2)    The mathematical notations and conventions needed in the analysis of data and computational systems;

3)    The breadth of topics that can be tackled by data science and AI, and the use of the key techniques in a range of applicable areas;


4)    A selection of specialist optional topics in mathematics, statistics and data science;

5)    How to use data and methods from data science to answer real world problems in longer projects and how to present results to non-specialists;

6)    The ethics involved in using data and data science.

Learning & Teaching Activities

The 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:

  • Attending lectures, tutorials and practical workshops.
  • Undertaking project work under supervision, both individually and as part of a team.
  • Completing written exercises.
  • Producing and demonstrating software.
  • Private study.

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:

  • Attending lectures, tutorials and practical workshops.
  • Undertaking project work under supervision, both individually and as part of a team.
  • Completing written exercises.
  • Producing and demonstrating software.
  • Private study.

Assessment Methods

The 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

  • Written coursework (ILOs A1-A4, A6)
  • Project report (ILOs A1-A6)
  • Written examination (ILOs A1, A2, A4, A6)
  • Project demonstration (ILOs A1, A3, A4, A5, A6)

B Academic Discipline Core Skills & Knowledge

On 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;

2)    Understand and construct mathematical proofs;

3)    Formulate, analyse and solve problems;

4)    Organise tasks into a structured form;


5)    Transfer appropriate knowledge and methods from one topic within the subject to another;

6)    Apply a range of ideas from data science, computer science, mathematics and statistics to unfamiliar problems and demons;

7)    Demonstrate a capacity for critical evaluation of argument and evidence.

Learning & Teaching Activities

The 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:

  • Attending lectures, tutorials and practical workshops.
  • Undertaking project work under supervision, both individually and as part of a team.
  • Completing written exercises.
  • Producing and demonstrating software.


 

Assessment Methods

The 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)

Project report (ILOs B1, B3, B4, B5, B6, B7)

Written examination (ILOs, B1-B3, B5, B6, B7)

Project demonstration (ILOs B3, B4, B6, B7)

C Personal / Transferable / Employment Skills & Knowledge

On 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;

2)   Communicate ideas effectively and clearly by appropriate meant including oral presentation;

3)   Manage time effectively;

4)   Search for and retrieve information from a variety of sources including libraries, databases and the web;

5)   Work as part of a team;

6)   Plan career and personal development.

Learning & Teaching Activities

The 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.

The Subsequent stages of the programme will haev the following assessment methodsUndertaking project work under supervision, both individually and as part of a team.

  • Completing written exercises.
  • Producing and demonstrating software.
  • Private study.
  • (6) is reinforced through individual and group tutorial meetings.
     

Assessment Methods

The 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:

  • Written coursework (ILOs B2, B3, B4, B5)
  • Project report (ILOs B1-B5)
  • Written examination (ILOs B3)
  • Project demonstration (ILOs C1-C5)

7. Programme Regulations

Credit


The programme consists of 480 credits with 120 credits taken at each stage. Normally not more than 75 credits would be allowed in any one term. In total, participants normally take no more than 150 credits at Stage 1, and must take at least 90 credits at Stage 3.

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.


CondonementCondonement is the process that allows you to be awarded credit (and so progress to the next stage or, in the final stage, receive an award), despite failing to achieve a pass mark at a first attempt. You are not entitled to reassessment in condoned credit.

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.

Information Technology (IT) Services provide a wide range of services throughout the Exeter campuses including open access computer rooms, some of which are available 24 hours, 7 days a week.  Help may be obtained through the Helpdesk, and most study bedrooms in hall and flats are linked to the University's campus network.

Additionally, the College has its own dedicated IT support staff, helpdesk and computer facilities which are linked to the wider network, but which also provide access to some specialised software packages.  Email is an important channel of communication between staff and students in the College and an extensive range of web-based information (see https://student-harrison.emps.ex.ac.uk/index.php) is maintained for the use of students, including a comprehensive and annually revised student handbook.

The Harrison Learning Resource Centre is general open during building open hours. The Centre is available for quiet study, with four separate rooms that can be booked for meetings and group work.  Amongst its facilities, the Learning Resource Centre has a number of desks, four meeting rooms with large LCD screens, and free use of a photocopier.  Also available are core texts from your module reading lists, and undergraduate and MSc projects from the past two years.

Online Module study resources provide materials for modules that you are registered for, in addition to some useful subject and IT resources.  Generic study support resources, library and research skills, past exam papers, and the 'Academic Honesty and Plagiarism' module are also available through the student portal.

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

Staff Student Liaison Committee enables students & staff to jointly participate in the management and review of the teaching and learning provision.

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.

The security of assessment and academic standards is further supported through the appointment of External Examiners for each programme. External Examiners have access to draft papers, course work and examination scripts. They are required to attend the Board of Examiners and to provide an annual report. Annual External Examiner reports are monitored at both College and University level. Their responsibilities are described in the Universitys code of practice.  See the Universitys TQA Manual for details

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