Business Analytics MSc - 2023/4
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).
Modes of study
| Route code | Credits and ECTS Credits | |
| Full-time | PKA61106 | 180 credits and 90 ECTS credits |
| Full-time with work placement | PKA61120 | 180 credits and 90 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
FU Colin (SBS)
Date of production/revision of spec
01/06/2023
Educational aims of the programme
- 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 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.
- 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.
- 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 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.
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 work placement
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
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 | Y | |
| 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) | Y | |
| Dual degree | N |
Other information
Employability: Graduates of the MSc Business Analytics are potentially well-equipped to apply their learnt analytical skills in various sectors spanning across Economic, Healthcare, Retail and Marketing, Financial, Human Resource, Performance and Supply-Chain. Successfully completing the programme enables the graduates to be invited to accept SAS Digital Badge, which provide employers and peers with concrete evidence of what the graduates had to do to earn their credential while sharing their abilities online in a simple way, trusted and easily verifiable in real-time. In additions, the MSc programme equip the graduates to sit for professional-qualification exams such as SAP and SAS which are highly sought by employers worldwide. This can be done directly through the individual professional organisation¿s website.
Global and Cultural Capabilities: The Programme is business orientated with the added advantage of applying of data analytics on solving business-related problems. The programme is taught in an interactive and collaborative way, in a cohort that commonly represents a wealth of nationalities and backgrounds. Group activities and assignments are common in most modules to reflect real-life working environments, where people from various cultural backgrounds, and believe system are working together going through the 5-stages of team working, i.e. forming, storming, norming, performing and adjourning. Students are encouraged to engage with, and learn from, diverse perspectives through interaction and teamwork while developing their ability to work in groups effectively. While frictions are created, and friendships are forged during the team working process, students are able to learn about their own weaknesses and strengths in additions to broaden their own world view, own perspectives and interpretations, and reinterpreting issues against a broader spectrum of ideas and representations.
Digital Capabilities: The programme exposes students to a set of different disciplines and various cutting-edge technologies to enable them to solve business problems using data analysis, statistical models and other quantitative methods. Successfully completing the programme enable students to master programming skills such as R (and even Python), interactive data visualization software, such as Power BI and/or Tableau, with quantitative-story telling skills, analytical tools such as advanced Excel, STATA, SPSS and SAS, business process tool like SAP and so on. All these simulate the real business-analytical world.
Resourcefulness & Resilience: Being equipped with knowledge and skills learnt from Principles of Analytics, Statistics and Econometrics and Data Mining and Text Analytics, students are able to take the skills they learn to further enhance their capabilities and showcase their skills in solving more complicated business problems utilising Operational Analytics, Machine Learning/AI and Visualisation, Financial Modelling, Equity Investment Analysis and so on. Students are able to apply iterative and methodical explorations of any organization's data, with an emphasis on statistical analysis, to drive correct decision-making while developing attributes such as confidence, adaptability, self-regulation, self-efficacy, problem solving and decision-making abilities, through interacting in their groups, engaging with their group members, and presenting their findings in front of audience. Such attributes will be more explicitly demonstrated by the students in their final Project/Dissertation for Business Analytics. Self-reflection, feedback comments among peers, and feed-forward comments from lecturers are demonstrated throughout the programme.
Sustainability: The Programme aims to develop students¿ understanding, awareness, and capability to develop innovative solutions to deal with key agendas related to specific sustainability and ethically related areas such as socially responsible business conduct. Achieving sustainability means knowing the business's impact and purpose, but it needs the right data and technologies to act on them. Having analytics and business intelligence capabilities learn throughout the programme allows the graduates to help organizations be more proactive, holistic, transparent, and accountable in their business decision-making.
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 2023/4 academic year.