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Study information

Programme Specification for the 2023/4 academic year

MSc Business Analytics

1. Programme Details

Programme nameMSc Business Analytics Programme codePTS1SBESBE41
Study mode(s)Full Time
Academic year2023/4
Campus(es)Streatham (Exeter)
NQF Level of the Final Award7 (Masters)

2. Description of the Programme

The MSc Business Analytics prepares 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. Rather than developing analytics capabilities and awareness of business issues separately, your course is structured to allow you to build your technical skills at the same time as exploring business-relevant challenges. 

The MSc Business Analytics will combine core 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.

3. Educational Aims of the Programme

The MSc Business Analytics will:

  • Bring together current scholarship and practice related to business analytics, providing students with a robust understanding of both fundamental theory and application.
  • 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.

A blend of traditional and innovative teaching and learning approaches will be deployed.  The programme will be taught using a ‘block-lite’ schedule in which each module will be taught as a series of 5 or 6 full-day sessions.  The sessions will run on alternate weeks and, in general, two modules will be covered each week.  This is illustrated diagrammatically below; the diagram is for representative purposes only, the specific days and times for each module will vary each year.

 

Between sessions, students will be provided with theoretical and practical problems and exercises to consolidate their learning in advance of the next session.  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 MSc Business Analytics is a 12 month full-time programme of study at National Qualification Framework (NQF) level 7 (as confirmed against the FHEQ). 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 180 credits of compulsory modules as detailed in section 5.

 

Interim Awards

If you do not complete the programme, you may be able to exit with a lower qualification.

A Postgraduate Diploma may be awarded when a student gains at least 120 credits from the compulsory modules.

A Postgraduate Certificate may be awarded when a student gains at least 60 credits from the compulsory modules

5. Programme Modules

http://business-school.exeter.ac.uk/study/masters/modules/

Stage 1


Compulsory Modules

120 credits of compulsory modules

CodeModule Credits Non-condonable?
BEMM457 Topics in Business Analytics 15No
BEMM458 Programming for Business Analytics 15No
BEMM459 Database Technologies for Business Analytics 15No
BEMM460 Statistics and Mathematics for Business Analytics 15No
BEMM461 Analytics and Visualisation for Managers and Consultants 15No
BEMM466 Business Project 45No

Optional Modules

60 credits of optional modules from the following closed list:

CodeModule Credits Non-condonable?
BEMM394 Entrepreneurship: New Venture Creation 15No
BEMM462 Operations Analytics 15No
BEMM463 Marketing Analytics 15No
BEMM464 Strategic and HR Analytics 15No
BEMM465 Environmental Analytics 15No
BEMM486 Design Intelligence 15No
BEMM488 Entrepreneurship and Complete Sustainable Value Creation 15No
BEMM783 Supply Chain Analytics 15No

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.
2. Demonstrate knowledge and understanding of key business processes and structures, and the role of business analytics in decision support.
3. Critically analyse and discuss current issues and influences relevant to the ongoing development of business analytics, and its application.
4. Draw on knowledge of current research and practice to identify and apply appropriate analytics methods and tools to a range of business situations.
5. Create, manage, interrogate, interpret and visualise data of various types, from a wide range of different sources, and including structured and unstructured data.

A1 will be addressed by BEMM458, BEMM459, BEMM460 and BEMM461

A2, A3 and A4 will be addressed by BEMM457, BEMM462, BEMM463, BEMM464, BEMM465, BEMM466

A5 will be addressed by BEMM458, BEMM459, BEMM460, BEMM461, BEMM462, BEMM463, BEMM464, and BEMM465

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
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.
7. Critically analyse and interpret relevant academic, technical and industry literature.
8. Work with stakeholders from a range of backgrounds to identify the need for, design, develop, and deploy, analytics solutions within a business environment
9. Communicate effectively through oral presentations and written reports, presenting methodologies and findings in a way that is appropriate to the intended audience.
10. Contribute effectively to managerial decision processes within a business context.

B6 will be addressed by BEMM458, BEMM459, BEMM460, BEMM462, BEMM463, BEMM464, BEMM565 and BEMM466

B7 will be addressed by BEMM457, BEMM458, BEMM459, BEMM460 and BEMM466.  BEMM462, BEMM464, BEMM463 and BEMM465 will also include elements of B7, but will not explicitly assess this ILO.

B8 will be addressed by BEMM462, BEMM463, BEMM464 and BEMM465

B9 will be addressed by BEMM457, BEMM461 and BEMM466

B10 will be addressed by BEMM461, BEMM462, BEMM463, BEMM464, BEMM465 and BEMM465

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:

11. CONFIDENT COMMUNICATOR: Able to adapt and adjust both written and verbal communication styles, to meet the needs of diverse audiences.
12. INNOVATIVE PROBLEM-SOLVER: Able to confidently explore challenges from different perspectives, to creatively offer practical and timely solutions.
13. PROACTIVE COLLABORATOR: Able to actively build strong working relationships with others to have positive outcomes.
14. DIGITALLY FLUENT: Able to embrace a variety of digital technologies to critically source, process and communicate information.
15. RESILIENT SELF-ADVOCATE: Able to develop self-awareness through a commitment to learning from experiences and taking responsibility for personal growth.
16. CRITICAL THINKER: Able to proactively analyse and evaluate information from a variety of sources to draw independent and well-founded conclusions.
17. GLOBALLY ENGAGED: Able to recognise diverse individual and cultural perspectives, in order to communicate on interconnected world issues and sustainable decisions

C11 will be addressed by BEMM457, BEMM461

 

C12 will be addressed by BEMM457 and BEMM461

 

C13 will be addressed by BEMM457, BEMM486

 

C14 will be addressed by BEMM458, BEMM459, BEMM461

 

C15 will be addressed by BEMM457 and BEMM461, BEMM466. 

 

C16 will be addressed by BEMM457, BEMM461, BEMM466

C17 will be addressed by BEMM457, BEMM464

 

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

Progression and Award

Condonement is the process that allows you to be awarded credit (and so receipt of an award at the final stage) despite failing to achieve the pass mark of 50% at a first attempt.  You are not entitled to reassessment in condoned credit.

Up to 45 credits of failure can be condoned on the following conditions:

a)    You have completed and been assessed in modules amounting to sufficient credit for the final award (i.e. 180 credits for MSc Business Analytics, 120 credits for a PGDip Business Analytics, and 60 credits for a PGCert Business Analytics).

b)    You must pass the modules that are considered non-condonable.  These are marked with a ‘Yes’ in the ‘non-condonable’ column in the tables in section 5 above.

c)     You must achieve an average mark of at least 50% across the full 180 credits of assessment in the stage, including any failed and condoned modules.

 

Classification

The marking of modules and the classification of awards broadly corresponds to the following markets:

Postgraduate Degrees:

Distinction 70%+

Merit 60 – 69%

Pass 50 – 59%

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.

In addition the School provides:

  • Dedicated Programme Director
  • Supervisor for Business Project
  • Dedicated IT facilities and computing staff
  • Dedicated insesssional language and study skills classes
  • Referral service to English Language Centre
  • Departmental staff-postgraduate seminar programme (visiting speakers)
  • Representation on the Student Council

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

The Postgraduate Handbook can be accessed via ELE at the following address: http://vle.exeter.ac.uk/course/view.php?id=1645

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

MSc Business Analytics

19. UCAS Code

Not applicable to this programme.

20. NQF Level of Final Award

7 (Masters)

21. Credit

CATS credits ECTS credits

22. QAA Subject Benchmarking Group

[Masters] Business and Management

23. Dates

Origin Date Date of last revision

28/06/2021