Business Analytics MSc - 2020/1
Awarding body
University of Surrey
Teaching institute
University of Surrey
Framework
FHEQ Level 7
Final award and programme/pathway title
MSc Business Analytics
MSc Business Analytics with Study Abroad
MSc Business Analytics with Professional Placement Year (Placement pathway (24 months))
Subsidiary award(s)
| Award | Title |
|---|---|
| PGDip | Business Analytics |
| PGCert | Business Analytics |
| PGDip | Business Analytics with Study Abroad |
| PGCert | Business Analytics with Study Abroad |
| PGDip | Business Analytics with Professional Placement Year |
| PGCert | Business Analytics with Professional Placement Year |
Professional recognition
Association to Advance Collegiate Schools of Business (AACSB)
Accredited by the 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 |
| Full-time with work placement | PKA71006 | 240 credits and 120 ECTS credits |
| Part-time | PKA61115 | 180 credits and 90 ECTS credits |
JACs code
100404, 100992, 100597100404, 10059
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
FAKHIMI Masoud (SBS)
Date of production/revision of spec
19/01/2022
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 | PGCert, PGDip, MSc | |
| Deep and thorough understanding of quantitative analytical methodologies and hands-on experience with decision-making software and data management tools. | K | PGCert, PGDip, MSc | |
| Knowledge about issues, application and analysis of Big Data | K | PGCert, PGDip, MSc | |
| An understanding of the academic research process. | K | PGCert, PGDip, MSc | |
| 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 | PGCert, PGDip, MSc | |
| 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 | PGDip, MSc | |
| Demonstrate the ability to independently evaluate critical approaches and techniques relevant to Business Analytics; | P | PGCert, PGDip, MSc | |
| Know and apply a range of techniques and tools to analyse data related to business operations; | P | PGCert, PGDip, MSc | |
| Capability of selecting the right methodology and software to solve management and operational business issues; | P | PGCert, PGDip, MSc | |
| Relate existing knowledge structures and methodologies to analytical business challenges | P | PGCert, PGDip, MSc | |
| 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 | PGCert, PGDip, MSc | |
| 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 | PGCert, PGDip, MSc | |
| Demonstrate the ability to independently evaluate critical approaches and techniques relevant to Business Analytics; | P | PGCert, PGDip, MSc | |
| Know and apply a range of techniques and tools to analyse data related to business operations; | P | PGCert, PGDip, MSc | |
| Capability of selecting the right methodology and software to solve management and operational business issues; | P | PGCert, PGDip, MSc | |
| Relate existing knowledge structures and methodologies to analytical business challenges | P | PGCert, PGDip, MSc |
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.
Full-time with work placement
This Master's Degree programme is studied full-time over 24 months, consisting of 240 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)
Part-time
This Master's Degree programme is studied part-time over two academic years, 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)
Programme Adjustments (if applicable)
N/A
Modules
Year 1 (full-time) - FHEQ Level 7
Module Selection for Year 1 (full-time) - FHEQ Level 7
Choose 1 optional module in Semester 1.
Choose 2 optional modules in Semester 2.
Students NOT on the placement pathway must undertake the 60-credit dissertation module.
Year 1 (full-time with placement - 24 months) - FHEQ Level 7
Year 2 (full-time with placement - 24 months) - FHEQ Level 7
| Module code | Module title | Status | Credits | Semester |
|---|---|---|---|---|
| MANM486 | PROFESSIONAL PLACEMENT YEAR | Core | 60 | Year-long |
Year 1 (full-time with Study Abroad - 15 months) - FHEQ Level 7
Module Selection for Year 1 (full-time with Study Abroad - 15 months) - FHEQ Level 7
Choose 1 optional module in Semester 1.
Choose 2 optional modules in Semester 2.
Students on the placement pathway choose the 60-credit compulsory module : Study Abroad
Year 1 (part-time) - FHEQ Level 7
| Module code | Module title | Status | Credits | Semester |
|---|---|---|---|---|
| MANM301 | DATA ANALYTICS | Compulsory | 15 | 1 |
| MANM354 | MACHINE LEARNING & VISUALISATIONS | Compulsory | 15 | 2 |
| MANM115 | INNOVATION MANAGEMENT | Optional | 15 | 2 |
| MANM467 | FOUNDATIONS OF STATISTICS AND ECONOMETRICS | Compulsory | 15 | 1 |
| MANM279 | RISK MANAGEMENT | Optional | 15 | 2 |
| MANM317 | INTRODUCTION TO MARKETING ANALYTICS | Optional | 15 | 2 |
Module Selection for Year 1 (part-time) - FHEQ Level 7
Choose 1 optional modules in Year 1, Semester 2.
Year 2 (part-time) - FHEQ Level 7
Module Selection for Year 2 (part-time) - FHEQ Level 7
Choose 1 optional module in Year 2, Semester 1.
Choose 1 optional modules in Year 2, Semester 2.
Opportunities for placements / work related learning / collaborative activity
| Associate Tutor(s) / Guest Speakers / Visiting Academics | N | |
| Professional Training Year (PTY) | N | |
| Placement(s) (study or work that are not part of PTY) | Y | Yes |
| Clinical Placement(s) (that are not part of the PTY scheme) | N | |
| Study exchange (Level 5) | N | |
| Dual degree | N |
Quality assurance
The Regulations and Codes of Practice for taught programmes can be found at:
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 2020/1 academic year.