Business Analytics MSc - 2024/5
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 (Study abroad)
Subsidiary award(s)
| Award | Title |
|---|---|
| PGDip | Business Analytics |
| PGCert | Business Analytics |
| PGDip | Business Analytics with Study Abroad |
| PGCert | Business Analytics with Study Abroad |
Professional recognition
Association to Advance Collegiate Schools of Business (AACSB)
Accredited by the Association to Advance Collegiate Schools of Business (AACSB).
SAS
The courses Data Mining and Text Analytics module is the first and only academic module in the country endorsed by SAS for the SAS knowledge and skills attained by students successfully completed the module, and is widely recognised by employers. Read the full story of the module accreditation here (https://www.surrey.ac.uk/news/surrey-business-school-and-sas-jointly-announce-sas-module-accreditation)
International Institute of Business Analysis (IIBA®)
This program is endorsed by IIBA (the International Institute of Business Analysis) and prequalifies for the professional development requirement of the IIBA Core Certifications: CCBA® and CBAP®.
This program also contributes towards the preparation for the IIBA®-Certification in Business Data Analytics ( IIBA® CBDA)
Modes of study
| Route code | Credits and ECTS Credits | |
| Full-time | PKA61106 | 180 credits and 90 ECTS credits |
| Full-time with Study abroad | PKA61120 | 180 credits and 90 ECTS credits |
| Part-time | PKA61115 | 180 credits and 90 ECTS credits |
QAA Subject benchmark statement (if applicable)
Other internal and / or external reference points
N/A
Faculty and Department / School
Faculty of Arts, Business and Social Sciences - Surrey Business School
Programme Leader
FU Colin (SBS)
Date of production/revision of spec
20/11/2024
Educational aims of the programme
- The compulsory and optional modules provide students with a rigorous grounding in theory complemented by the applied quantitative and digital techniques necessary to undertake empirical investigations (to form balanced evaluations of practice) and specialise in frontier areas that suit their particular interest or future career needs.
- To impart students with transferable skills such as leadership, problem-solving, communication and professionalism required to operate successfully using big data within increasingly complex and global operational environment of the modern corporations of any industry or to pursue further academic study contributing cutting-edge researched knowledge towards a PhD degree within the subject area.
- To provide a high-quality education that is intellectually rigorous, culturally, and environmentally aware and attuned to the current aspects in the forever-fast-paced business analytics sector, that is relevant for management science research, problem solving and decision making.
- To provide students with a basis for developing their own approach to learning and personal development through a combination of compulsory and optional modules, spanning across management, finance, marketing, and supply chain, that are united by a focus on dialogue between theory and practice in the area of business analytics.
- 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 Information Communication Technology and Enterprise Resource Planning systems, providing business-intelligence for effective decision-making.
Programme learning outcomes
| Attributes Developed | Awards | Ref. | |
| Demonstrate a systematic, in-depth understanding of the development, issues, and influences relevant to the discipline of business analytics within various cultural settings in either local or global context. | KCPT | PGCert, PGDip, MSc | |
| Apply high-level learning and data-driven-problem-solving and analytical-research abilities for decision-making in the range of modules studied, while being able to present findings effectively to non-technical audience. | KCPT | PGDip, MSc | |
| Develop and enhance the interpersonal and data-driven professional skills across different cultures in various contexts (corporations or academia). | KCPT | PGCert, PGDip, MSc | |
| Evaluate, apply, and develop effective quantitative analytical methodologies leveraging on various decision-making software and data management tools, for decision-making. | KCPT | PGDip, MSc | |
| Demonstrate competence in a range of skills that are relevant to the needs of future business analytics professionals, irrespective of the sector of operation, to think critically and independently based on relevant data, for analysis and synthesis purpose and to modify existing knowledge structures and theoretical frameworks to discover and/or create new areas for investigative research | KCPT | 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 Study abroad
This Master's Degree programme is studied full-time over fifteen months, 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.
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
12-MONTH FULL TIME ( PKA61106)
SEPTEMBER START
Module Selection for Year 1 (full-time - 12 months) - FHEQ Level 7
First semester (semester 1 according to the academic calendar) you will study these three compulsory modules (15 credits each):
MANM530 PRINCIPLES OF ANALYTICS
MANM526 STATISTICS AND ECONOMETRICS
MANM528 DATA MINING AND TEXT ANALYTICS
And you will need to choose ONE of the following optional modules (15 credits each):
MANM532 SUPPLY CHAIN DESIGN, PLANNING AND ANALYSIS
MANM524 PRINCIPLES OF FINANCE AND INVESTMENT ** cannot be taken together with MANM318
MANM318 EQUITY INVESTMENT ANALYSIS ** cannot be taken together with MANM524
In week one of the semester, you will also participate in a short course on Quantitative Methods to refresh your understanding of the approaches, tools and techniques that you will be using on the programme.
Second semester (semester 2 according to the academic calendar) you will study these two compulsory modules (15 credits each):
MANM304 OPERATIONAL ANALYTICS
MANM547 MACHINE LEARNING/AI AND VISUALISATION
And you will need to choose TWO of the following optional modules (15 credits each) to study:
MANM527 DATA AND BUSINESS PROCESS MANAGEMENT WITH SAP
MANM533 MARKETING ANALYTICS
MANM525 FINANCIAL MODELLING
MANM529 PERFORMANCE ANALYTICS
Summer period, you will undertake the following module (60 credits) with submission at the end of the summer period (i.e. Aug/Sep of the same calendar year):
MANM531 - PROJECT/DISSERTATION FOR BUSINESS ANALYTICS
For key dates and semester lengths including the summer period visit: Key Dates
12-MONTH FULL TIME ( PKA61106)
FEBRUARY START
Module Selection for Year 1 (full-time - 12 months) - FHEQ Level 7
First semester (semester 2 according to the academic calendar) you will study these three compulsory modules (15 credits each):
MANM530 Principles of Analytics (15 credits) - Compulsory
MANM526 Statistics and Econometrics (15 credits) - Compulsory
MANM528 Data Mining and Text Analytics (15 credits) - Compulsory
Choose ONE of the following options:
MANM529 Performance Analytics (15 credits) - Optional
MANM527 Data and Business Process Management with SAP (15 credits) - Optional
MANM533 Marketing Analytics (15 credits) - Optional
Summer period, you will undertake the following module modules with submission at the end of the summer period (i.e. Aug/Sep of the same calendar year):
MANM547 Machine Learning/AI and Visualisation (15 credits) - Compulsory
MANM304 Operational Analytics (15 credits) - Compulsory
Second semester (semester 1 according to the academic calendar) you will study these two optional modules (15 credits each):
Choose TWO of the following options:
MANM532 Supply Chain Design, Planning and Analysis (15 credits) - Optional
MANM318 Equity Investment Analysis (15 credits) Optional ** Cannot be taken together with MANM524
MANM524 Principles of Finance and Investment (15 Credits) - Optional ** Cannot be taken together with MANM318
Across Academic Years (Start in April till Jan):
MANM531 Project/Dissertation for Business Analytics (60 credits)
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
15-MONTH FULL TIME with STUDY ABROAD ( PKA61120)
SEPTEMBER START
Module Selection for Year 1 (12-month Full-time with 3-month Study Abroad) - FHEQ Level 7
First semester (semester 1 according to the academic calendar) you will study these three compulsory modules (15 credits each):
MANM530 PRINCIPLES OF ANALYTICS
MANM528 DATA MINING AND TEXT ANALYTICS
MANM526 STATISTICS AND ECONOMETRICS
And you will need to choose ONE of the following optional modules (15 credits each):
MANM532 SUPPLY CHAIN DESIGN, PLANNING AND ANALYSIS
MANM524 PRINCIPLES OF FINANCE AND INVESTMENT ** cannot be taken together with MANM318
MANM318 EQUITY INVESTMENT ANALYSIS ** cannot be taken together with MANM524
Second semester (semester 2 according to the academic calendar) you will study these two compulsory modules (15 credits each):
MANM304 OPERATIONAL ANALYTICS
MANM547 MACHINE LEARNING/AI AND VISUALISATION
And you will need to choose TWO of the following optional modules (15 credits each) to study:
MANM527 DATA AND BUSINESS PROCESS MANAGEMENT WITH SAP
MANM533 MARKETING ANALYTICS
MANM525 FINANCIAL MODELLING
MANM529 PERFORMANCE ANALYTICS
Summer period, you will complete the following compulsory module (60 credits) abroad:
MANM472 - STUDY ABROAD
For key dates and semester lengths including the summer period visit: Key Dates
Year 1 (part-time) - FHEQ Level 7
| Module code | Module title | Status | Credits | Semester |
|---|---|---|---|---|
| MANM304 | OPERATIONAL ANALYTICS | Compulsory | 15 | 2 |
| MANM527 | DATA AND BUSINESS PROCESS MANAGEMENT (WITH SAP) | Optional | 15 | 2 |
| MANM528 | DATA MINING AND TEXT ANALYTICS | Compulsory | 15 | 1 |
| MANM530 | PRINCIPLES OF ANALYTICS | Compulsory | 15 | 1 |
| MANM533 | MARKETING ANALYTICS | Optional | 15 | 2 |
| MANM526 | STATISTICS AND ECONOMETRICS | Compulsory | 15 | 1 |
Module Selection for Year 1 (part-time) - FHEQ Level 7
SEPTEMBER START
Module Selection for Year 1 (Part-time 12-month) - FHEQ Level 7
YEAR 1
First semester (semester 1 according to the academic calendar) you will study these three compulsory modules (15 credits each):
MANM530 PRINCIPLES OF ANALYTICS
MANM526 STATISTICS AND ECONOMETRICS
MANM528 DATA MINING AND TEXT ANALYTICS
In week one you will also participate in a short course on Quantitative Methods to refresh your understanding of the approaches, tools and techniques that you will be using on the programme.
Second semester (semester 2 according to the academic calendar) you will study this one compulsory modules (15 credits each):
MANM304 OPERATIONAL ANALYTICS
And you will need to choose ONE of the following optional modules (15 credits each) to study:
MANM527 DATA AND BUSINESS PROCESS MANAGEMENT WITH SAP
MANM533 MARKETING ANALYTICS
For key dates and semester lengths including the summer period visit: Key Dates
Year 2 (part-time) - FHEQ Level 7
Module Selection for Year 2 (part-time) - FHEQ Level 7
Module Selection for Year 2 ( Part-time 12-month) - FHEQ Level 7
YEAR 2
First semester (semester 1 according to the academic calendar) you will choose ONE of these optional modules (15 credits each):
MANM532 SUPPLY CHAIN DESIGN, PLANNING AND ANALYSIS
MANM524 PRINCIPLES OF FINANCE AND INVESTMENT ** cannot be taken together with MANM318
MANM318 EQUITY INVESTMENT ANALYSIS ** cannot be taken together with MANM524
Second semester (semester 2 according to the academic calendar) you will study this one compulsory modules (15 credits each):
MANM547 MACHINE LEARNING/AI AND VISUALISATION
Second semester (semester 2 according to the academic calendar) you will need to choose ONE of the following optional modules (15 credits):
MANM525 FINANCIAL MODELLING
MANM529 PERFORMANCE ANALYTICS
Summer period, you will undertake the following module (60 credits) with submission at the end of the summer period (i.e. Aug/Sep of the same calendar year):
MANM531 PROJECT/DISSERTATION FOR BUSINESS ANALYTICS
For key dates and semester lengths including the summer period visit: https://www.surrey.ac.uk/about/facts/key-dates
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) | N | |
| 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 2024/5 academic year.