Business Analytics MSc - 2022/3

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

22/10/2021

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


OCTOBER START

First semester
(semester 1 according to the academic calendar) you will study these two compulsory modules (15 credits each):

MANM301 - DATA ANALYTICS
MANM467 - FOUNDATIONS OF STATISTICS AND ECONOMETRICS

And you will need to choose TWO of the following optional modules (15 credits each):

MANM097 - FOUNDATIONS OF FINANCE: FINANCE & INVESTMENTS
MANM250 - SUPPLY CHAIN MANAGEMENT AND LOGISTICS
MANM198 - PRINCIPLES OF ACCOUNTING

In week one of this 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
MANM354 - MACHINE LEARNING & VISUALISATIONS

And you will need to choose TWO of the following optional modules (15 credits each) to study:

MANM115 - INNOVATION MANAGEMENT
MANM279 - RISK MANAGEMENT
MANM317 - INTRODUCTION TO MARKETING ANALYTICS
MANM101 - BUSINESS PROCESS MANAGEMENT (WITH SAP)

In addition, you will undertake the following module (60 credits) with submission at the end of the summer period:

MANM389 - DISSERTATION FOR BUSINESS ANALYTICS


For key dates and semester lengths including the summer period visit: Key Dates



FEBRUARY START

First semester
(semester 2 according to the academic calendar) you will study these two compulsory modules (15 credits each):

MANM301 - DATA ANALYTICS
MANM467 - FOUNDATIONS OF STATISTICS AND ECONOMETRICS

And you will need to choose TWO of the following optional modules (15 credits each):

MANM115 - INNOVATION MANAGEMENT
MANM279 - RISK MANAGEMENT
MANM317 - INTRODUCTION TO MARKETING ANALYTICS
MANM101 - BUSINESS PROCESS MANAGEMENT (WITH SAP)

In week one of this 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.


Summer period you will study these two compulsory modules (15 credits each):

MANM304 - OPERATIONAL ANALYTICS
MANM354 - MACHINE LEARNING & VISUALISATIONS


Second semester (semester 1 according to the academic calendar) you will choose TWO of the following optional modules (15 credits each):

MANM097 - FOUNDATIONS OF FINANCE: FINANCE & INVESTMENTS
MANM250 - SUPPLY CHAIN MANAGEMENT AND LOGISTICS
MANM198 - PRINCIPLES OF ACCOUNTING


In addition, you will research and write the below dissertation module (60 credits) across the summer period and semester 1, with submission at the end of semester 1 (January):

MANM389 - DISSERTATION FOR BUSINESS ANALYTICS


For key dates and semester lengths including the summer period visit: Key Dates

Year 1 (full-time with placement - 24 months) - FHEQ Level 7

Module Selection for Year 1 (full-time with placement - 24 months) - FHEQ Level 7


OCTOBER START

YEAR 1


First semester
(semester 1 according to the academic calendar) you will study these two compulsory modules (15 credits each):

MANM301 - DATA ANALYTICS
MANM467 - FOUNDATIONS OF STATISTICS AND ECONOMETRICS

And you will need to choose TWO of the following optional modules (15 credits each):

MANM097 - FOUNDATIONS OF FINANCE: FINANCE & INVESTMENTS
MANM198 - PRINCIPLES OF ACCOUNTING
MANM250 - SUPPLY CHAIN MANAGEMENT AND LOGISTICS

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 these two compulsory modules (15 credits each):

MANM354 - MACHINE LEARNING & VISUALISATIONS
MANM304 - OPERATIONAL ANALYTICS

And you will need to choose TWO of the following optional modules (15 credits each):

MANM115 - INNOVATION MANAGEMENT
MANM279 - RISK MANAGEMENT
MANM317 - INTRODUCTION TO MARKETING ANALYTICS
MANM101 - BUSINESS PROCESS MANAGEMENT (WITH SAP)

In addition to this you will undertake the following compulsory module (60 credits) with submission at the end of the summer period:

MANM389 - DISSERTATION FOR BUSINESS ANALYTICS


For key dates and semester lengths including the summer period visit: Key Dates

Year 2 (full-time with placement - 24 months) - FHEQ Level 7

Module Selection for Year 2 (full-time with placement - 24 months) - FHEQ Level 7


YEAR 2

You will undertake the core module (60 credits):

MANM486 - PROFESSIONAL PLACEMENT YEAR


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


OCTOBER START

First semester
(semester 1 according to the academic calendar) you will study these two compulsory modules (15 credits each):

MANM301 - DATA ANALYTICS
MANM467 - FOUNDATIONS OF STATISTICS AND ECONOMETRICS

And you will need to choose TWO of the following optional modules (15 credits each):

MANM097 - FOUNDATIONS OF FINANCE: FINANCE & INVESTMENTS
MANM198 - PRINCIPLES OF ACCOUNTING
MANM250 - SUPPLY CHAIN MANAGEMENT AND LOGISTICS


Second semester (semester 2 according to the academic calendar) you will study these two compulsory modules (15 credits each):

MANM354 - MACHINE LEARNING & VISUALISATIONS
MANM304 - OPERATIONAL ANALYTICS

And you will need to choose TWO of the following optional modules (15 credits each) to study:

MANM115 - INNOVATION MANAGEMENT
MANM279 - RISK MANAGEMENT
MANM317 - INTRODUCTION TO MARKETING ANALYTICS
MANM101 - BUSINESS PROCESS MANAGEMENT

In addition to this you will complete the following compulsory module (60 credits) across the 15 month period:

MANM472 - STUDY ABROAD


For key dates and semester lengths including the summer period visit: Key Dates

Year 1 (part-time) - FHEQ Level 7

Module Selection for Year 1 (part-time) - FHEQ Level 7


OCTOBER START

YEAR 1


First semester
(semester 1 according to the academic calendar) you will study these two compulsory modules (15 credits):

MANM301 - DATA ANALYTICS
MANM467 - FOUNDATIONS OF STATISTICS AND ECONOMETRICS

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 the following compulsory module (15 credits):

MANM354 - MACHINE LEARNING & VISUALISATIONS

And you will need to choose ONE of the following optional modules (15 credits):

MANM317 - INTRODUCTION TO MARKETING ANALYTICS
MANM115 - INNOVATION MANAGEMENT
MANM279 - RISK MANAGEMENT
MANM101 - BUSINESS PROCESS MANAGEMENT


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


YEAR 2

First semester
(semester 1 according to the academic calendar) you will choose TWO of these optional modules (15 credits):

MANM250 - SUPPLY CHAIN MANAGEMENT AND LOGISTICS
MANM097 - FOUNDATIONS OF FINANCE: FINANCE & INVESTMENTS
MANM198 - PRINCIPLES OF ACCOUNTING


Second semester (semester 2 according to the academic calendar) you will study the following compulsory module (15 credits):

MANM304 - OPERATIONAL ANALYTICS

And you will need to choose ONE of the following optional modules (15 credits):

MANM115 - INNOVATION MANAGEMENT
MANM279 - RISK MANAGEMENT
MANM317 - INTRODUCTION TO MARKETING ANALYTICS
MANM101 - BUSINESS PROCESS MANAGEMENT


In addition you will undertake the following compulsory module (60 credits) with submission at the end of the summer period:

MANM389 - DISSERTATION FOR BUSINESS ANALYTICS


For key dates and semester lengths including the summer period visit: 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) Y Yes
Clinical Placement(s) (that are not part of the PTY scheme) N
ERASMUS Study (that is not taken during Level P) N
Study exchange(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 2022/3 academic year.