Programme Specification for the 2024/5 academic year
BSc (Hons) Business Analytics with Industrial Experience
1. Programme Details
| Programme name | BSc (Hons) Business Analytics with Industrial Experience | Programme code | UFS4SBESBE37 |
|---|---|---|---|
| Study mode(s) | Full Time |
Academic year | 2024/5 |
| Campus(es) | Streatham (Exeter) |
NQF Level of the Final Award | 6 (Honours) |
2. Description of the Programme
The BSc Business Analytics is designed to prepare you for a career in organisations which are seeking to exploit the opportunities afforded by rapidly changing technologies and growth in availability of data. It provides you with the skills required to help businesses make data-informed decisions, including the ability to understand business problems and to use data to solve them.
The programme combines modules in data handling and analysis alongside modules which specifically explore business problems in areas such as marketing, people and operations. The programme culminates in a capstone project, which will embed you into a sizeable business problem that draws upon various aspects of your newly developed Business Analytics skills.
Our programme is also inspired by global challenges, and will draw upon University of Exeter’s world-leading environmental research. There are increasing pressures on businesses to manage and report climate exposure in their supply chain and investment portfolios, mitigate risk of climate change and natural hazards on their operations, and manage their wider environmental impacts. You will learn about these challenges, and how business analytics approaches can support businesses in overcoming them.
With Industrial Experience – students take compulsory employability and career skills development modules BSD1002 and BSD2002 in 1st and 2nd years respectively, in preparation for the placement recruitment process and for their year in industry. To progress from Stage 1 and to continue on the programme, students must achieve 50% for the BSD1002 module and a weighted average of 50% in their first year, (note some placements may require 60% average). During the 3rd year placement students enrol on BUS3002 module and complete two skills focussed assessments which contribute to 1/7th of the degree. Throughout the programme students are supported by the Careers & Employability team in the Business School and by an academic tutor during their placement.
3. Educational Aims of the Programme
The BSc Business Analytics will:
- Provide students with a solid grounding in the fundamentals of business and management.
- Provide insight into the political, economic, social, technological, legal and environmental considerations associated with increasing use of data and analytics in the global business environment.
- Enable students to recognise and understand situations, across a range of sectors and functions, in which applications of business analytics could generate business value.
- Equip students with the skills and knowledge required to follow careers related to business analytics, business and management.
The programme is modular in nature, with teaching and learning being undertaken through a range of contact hours and self-guided learning. Contact hours will be distributed throughout the relevant term, and will incorporate lectures, workshops and lab sessions. Pedagogic approaches will include traditional and innovative styles including traditional, flipped and semi-flipped, and a range of supplementary learning materials. Assessment mechanisms will vary by module, with a balance of coursework and examinations across the overall programme.
As part of guided independent study, students will be provided with theoretical and practical problems and exercises to consolidate and extend their learning. They will also be provided with access to curated online resources to support development of technical skills, using for example DataCamp or Codecademy.
Further detail about specific learning outcomes, methods of learning, and approaches to assessment, are provided in section 6 below.
4. Programme Structure
The BSc Business Analytics with Industrial Experience programme is a four year programme at National Qualification Framework (NQF) level 6 (as confirmed against the FHEQ). This programme is divided into four ‘Stages’. Each Stage is normally equivalent to an academic year. This programme is divided into units of study called modules which are each 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. You will complete 120 credits of modules per year as detailed in section 5.
5. Programme Modules
You may take Optional Modules as long as any necessary prerequisites have been satisfied, where the timetable allows and if you have not already taken the module in question, or an equivalent module.
The Optional Modules listed are recommendations from the Programme Director as they closely align with the degree programme and compulsory modules. However please be aware you are not limited to this list of optional modules.
You may take Elective Modules up to 30 credits outside of the programme in all stages of the programme as long as any necessary prerequisites have been satisfied, where the timetable allows and if you have not already taken the module in question, or an equivalent module.
At the point of application or shortly after enrolling students may select a four-year version of this programme. We offer “with Year Abroad”, or “with Industrial Experience” variants. In these cases Stage 3 becomes Stage 4, and Stage 3 is replaced with 120 credits of alternative work and assessment.
Students take modules BSD1002 in their first year and BSD2002 in their second year as preparation for their year in industry. Students will then be enrolled on the module BUS3002 during their placement year. To progress from Stage 1 on this programme, students must achieve a weighted average of 50% in their first year. This programme has compulsory preparation sessions in the first two years.
Stage 1
90 credits of compulsory modules, 30 credits of optional modules
Compulsory Modules
| Code | Module | Credits | Non-condonable? |
|---|---|---|---|
| BEM1024 | Statistics for Business | 15 | Yes |
| BEM1019 | Fundamentals of Marketing | 15 | No |
| BEE1034 | Economics for Management | 15 | No |
| BEM1023 | Discovering Management | 30 | No |
| BEM1025 | Programming for Business Analytics | 15 | Yes |
| BSD1002 | Introduction to 'With Industrial Experience' | 0 | No |
Optional Modules
30 credits of optional modules. Recommended optional modules:
| Code | Module | Credits | Non-condonable? |
|---|---|---|---|
| BEA1013 | Introduction to Accounting | 15 | No |
| SSI1005 | Introduction to Social Data | 15 | No |
| ECM1407 | Social and Professional Issues of the Information Age | 15 | No |
| BEM1026 | Impactful Entrepreneurship | 15 | No |
Stage 2
75 credits of compulsory modules, 45 credits of optional modules
Compulsory Modules
| Code | Module | Credits | Non-condonable? |
|---|---|---|---|
| BEM2039 | Business Analytics in Practice | 15 | No |
| BEM2007 | Operations Management | 15 | No |
| BEM2040 | Database Technologies for Business Analytics | 15 | Yes |
| BEM2041 | Marketing Analytics | 15 | No |
| BEM2021 | Human Resource Management | 15 | No |
| BSD2002 | Career Management Skills for 'with Industrial Experience' Students | 0 | No |
Optional Modules
45 credits of optional modules. Recommended optional modules
Stage 3
Year Spent in Work Placement. 120 credits of compulsory module.
Compulsory Modules
| Code | Module | Credits | Non-condonable? |
|---|---|---|---|
| BUS3002 | Business School Industrial Experience | 120 | Yes |
Stage 4
60 credits of compulsory modules, 60 credits of optional modules
Compulsory Modules
| Code | Module | Credits | Non-condonable? |
|---|---|---|---|
| BEM3062 | Operations Analytics | 15 | No |
| BEM3063 | Strategic and HR Analytics | 15 | No |
| BEM3064 | Analytics and Visualisation for Managers and Consultants | 15 | No |
| BEM3065 | Strategy | 15 | No |
Optional Modules
60 credits of optional modules. Recommended optional modules:
| Code | Module | Credits | Non-condonable? |
|---|---|---|---|
| BEE3109 | Bitcoin, Money and Trust | 15 | No |
| BUS3001 | Dissertation | 30 | No |
| BEM3041 | Marketing Management and Strategy | 15 | No |
| BEM3055 | Ethics and Responsible Innovation | 15 | No |
| BEM3054 | Digital Marketing: Theory, Culture and Practice | 15 | No |
| SSI3001 | Introduction to Social Network Analysis | 15 | No |
6. Programme Outcomes Linked to Teaching, Learning and Assessment Methods
Intended Learning Outcomes
A: Specialised Subject Skills and Knowledge
| Intended Learning Outcomes (ILOs) On successfully completing this programme you will be able to: | Intended Learning Outcomes (ILOs) will be... | |
|---|---|---|
| ...accommodated and facilitated by the following learning and teaching activities (in/out of class): | ...and evidenced by the following assessment methods: | |
1. demonstrate knowledge and understanding of fundamental, and domain-specific, analytics methods and tools. | A1 will be addressed by BEM1024, BEM1025, BEM2040, and BEM3064
A2 will be addressed by BEM2039, BEM2041, BEM3062 and BEM3063
A3 will be addressed by BEM1024, BEM1025, BEM2041, BEM2040, BEM3062, BEM3063, and BEM3064
A4 will be addressed by BEE1034, BEM1023, BEM1019, BEM2007, BEM2021 and BEM3065
A5 will be addressed by BEM1023, BEM1019, BEM2039, BEM2007, BEM2021, and BEM3065
Teaching and learning methods across these modules will include lectures, workshops, practical lab sessions, private study, case study development, group work, and individual projects. | The assessment strategy for each module is provided in the full module description. Assessment methods will include practical exercises, project work, written assignments, presentations, multiple choice tests, and written examinations. |
Intended Learning Outcomes
B: Academic Discipline Core Skills and Knowledge
| Intended Learning Outcomes (ILOs) On successfully completing this programme you will be able to: | Intended Learning Outcomes (ILOs) will be... | |
|---|---|---|
| ...accommodated and facilitated by the following learning and teaching activities (in/out of class): | ...and evidenced by the following assessment methods: | |
6. critically analyse the use of data within a business context, identifying strengths and limitations. | B6 will be addressed by BEM10024, BEM1025, BEE1034, BEM2041, BEM2040, BEM3062 and BEM3063
B7 will be addressed by BEM1023, BEM1019, BEM2039, BEM3064 and BEM3065
Teaching and learning methods across these modules will include lectures, workshops, practical lab sessions, practitioner insight seminars, private study, case study development, group work, individual projects, and collaboration with business partners. | The assessment strategy for each module is provided in the full module description. Assessment methods will include practical exercises, project work, written assignments, presentations, multiple choice tests, and written examinations. |
Intended Learning Outcomes
C: Personal/Transferable/Employment Skills and Knowledge
| Intended Learning Outcomes (ILOs) On successfully completing this programme you will be able to: | Intended Learning Outcomes (ILOs) will be... | |
|---|---|---|
| ...accommodated and facilitated by the following learning and teaching activities (in/out of class): | ...and evidenced by the following assessment methods: | |
8. A global outlook: Our graduates are engaged and prepared for the demands of global business and society. | C8 will be addressed by BEM1023, BEM2039, and BEM3065
C9 will be addressed by BEM1023, BEM2039, and BEM3064
C10 will be addressed by BEM1023 and BEM2039
C11 will be addressed by BEM1024, BEM1025, BEM2040 and BEM3064
C12 will be addressed by BEM1019, BEM2039, BEM2007 and BEM2021
Teaching and learning methods across these modules will include lectures, workshops, practical lab sessions, practitioner insight seminars, private study, case study development, group work, individual projects, and collaboration with business partners. | The assessment strategy for each module is provided in the full module description. Assessment methods will include practical exercises, project work, written assignments, presentations, multiple choice tests, and written examinations. |
7. Programme Regulations
Classification
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.
Student / Staff Liaison Committee enables students and staff to jointly participate in the management and review of the teaching and learning provision.
The Undergraduate Handbook can be accessed via ELE at the following address: https://vle.exeter.ac.uk/course/view.php?id=8108
9. University Support for Students and Students' Learning
10. Admissions Criteria
11. Regulation of Assessment and Academic Standards
12. Indicators of Quality and Standards
Certain programmes are subject to accreditation and/or review by professional and statutory regulatory bodies (PSRBs).
13. Methods for Evaluating and Improving Quality and Standards
14. Awarding Institution
University of Exeter
15. Lead College / Teaching Institution
Faculty of Environment, Science and Economy (ESE)
16. Partner College / Institution
Partner College(s)
Not applicable to this programme
Partner Institution
Not applicable to this programme.
17. Programme Accredited / Validated by
0
18. Final Award
BSc (Hons) Business Analytics with Industrial Experience
19. UCAS Code
Not applicable to this programme.
20. NQF Level of Final Award
6 (Honours)
21. Credit
| CATS credits | 480 |
ECTS credits | 240 |
|---|
22. QAA Subject Benchmarking Group
[Honours] General business and management
23. Dates
| Origin Date | Date of last revision | 07/10/2020 |
|---|
