Business Analytics MSc - 2017/8

Awarding body

University of Surrey

Teaching institute

University of Surrey

Framework

FHEQ Level 7

Final award and programme/pathway title

MSc Business Analytics

Subsidary award(s)

Award Title
PGDip Business Analytics
PGCert Business Analytics

Professional recognition

Association to Advance Collegiate Schools of Business (AACSB)

Modes of study

Route code Credits and ECTS Credits
Full-time PKA61106 180 credits and 90 ECTS credits

JACs code

G200, I460, L11

QAA Subject benchmark statement (if applicable)

Other internal and / or external reference points

N/A

Faculty and Department / School

Faculty of Arts and Social Sciences - Surrey Business School

Programme Leader

GARN W Dr (SBS)

Date of production/revision of spec

21/11/2017

Educational aims of the programme

To provide a high quality education that is both intellectually rigorous and at the forefront of management science research, relevant for problem solving and decision making by managers.

To respond to the emergent needs of corporations and academia for professionals who are able to work with analytical tools to generate value from available information depots and take advantage of the vast amounts of data now provided by the modern ICT and ERP systems, which underlie the operations of modern corporations.

To implant understanding of the theoretical base around knowledge management and knowledge work, practical skills and experience in using analytical software tools. It will allow future professional managers and consultants to cope with an increasingly complex and global operational environment of the modern corporation. Completion of the programme will provide a sound foundation for those considering continuing their academic development towards a PhD degree in the management disciplines

To provide students with a choice between a more quantitative intensive track of modules or a qualitative analytic (business development track) which would reflect students' personal strengths and preferences and match future career aspirations.

The compulsory modules provide a sound foundation which builds an analytical skillset using relevant statistical and management theories, and supports the development of practical hands-on experience applying the theoretical aspects using real-world data to address corporate challenges and find solutions to actual problems.

The readings in the module will build a sound basis which would allow students to access and understand the academic literature and undertake empirical investigations in the areas of decision modelling and business development.

Programme learning outcomes

Attributes Developed Awards Ref.
A systematic, in-depth understanding of the development; issues and influences relevant to discipline of Management Decision Making, Management Science, and Data Science. K
Deep and thorough understanding of quantitative analytical methodologies and hands-on experience with decision-making software and data management tools. K
Knowledge about issues, application and analysis of Big Data K
An understanding of the academic research process. K
Demonstrate deep learning, understanding of the material and ability to apply the knowledge and demonstrate skills in problem solving in the topic space of the modules studied C
Carry out assessments of data in a repository, select the appropriate analysis tools, design and execute an analytical methodology (not required for PG Certificate), apply adequate visualization methodologies to present the results and interpret the findings and finally to communicate the results effectively to a select audience C
Demonstrate the ability to independently evaluate critical approaches and techniques relevant to Business Analytics; P
Know and apply a range of techniques and tools to analyse data related to business operations; P
Capability of selecting the right methodology and software to solve management and operational business issues; P
Relate existing knowledge structures and methodologies to analytical business challenges P
An ability to conduct research and produce a high quality dissertation- this includes the ability to critical literature review, to select, define and focus upon an issue at an appropriate level; to develop and apply relevant and sound methodology; to apply the methodology to analyse the issue; to develop logical conclusions and recommendations; to be aware of the limitations of the research T
An ability to identify modifications to existing knowledge structures and theoretical frameworks and therefore to prose new areas for investigation, new problems, new or alternative applications or methodological applications T
Demonstrate the ability to independently evaluate critical approaches and techniques relevant to Business Analytics; P
Know and apply a range of techniques and tools to analyse data related to business operations; P
Capability of selecting the right methodology and software to solve management and operational business issues; P
Relate existing knowledge structures and methodologies to analytical business challenges P

Attributes Developed

C - Cognitive/analytical

K - Subject knowledge

T - Transferable skills

P - Professional/Practical skills

Programme structure

Full-time

This Master's Degree programme is studied full-time over one academic year, consisting of 180 credits at FHEQ level 7*. All modules are semester based and worth 15 credits with the exception of project, practice based and dissertation modules.
Possible exit awards include:
- Postgraduate Diploma (120 credits)
- Postgraduate Certificate (60 credits)
*some programmes may contain up to 30 credits at FHEQ level 6.

Programme Adjustments (if applicable)

N/A

Modules

Opportunities for placements / work related learning / collaborative activity

Associate Tutor(s) / Guess Speakers / Visiting Academics N
Professional Training Year (PTY) N
Placement(s) (study or work that are not part of PTY) N
Clinical Placement(s) (that are not part of the PTY scheme) N
ERASMUS Study (that is not taken during Level P) N
Study exhange(s) (that are not part of the ERASMUS scheme) N
Dual degree N

Quality assurance

The Regulations and Codes of Practice for taught programmes can be found at:

https://www.surrey.ac.uk/quality-enhancement-standards

Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2017/8 academic year.