Data Science MSc - 2020/1

Awarding body

University of Surrey

Teaching institute

University of Surrey

Framework

FHEQ Level 7

Final award and programme/pathway title

MSc Data Science
MSc Data Science with Professional Postgraduate Year (Placement pathway)

Subsidiary award(s)

Award Title
PGDip Data Science
PGCert Data Science
PGDip Data Science with Professional Postgraduate Year
PGCert Data Science with Professional Postgraduate Year

Modes of study

Route code Credits and ECTS Credits
Full-time PCL61001 180 credits and 90 ECTS credits
Full-time with work placement PCL71001 240 credits and 120 ECTS credits

JACs code

I100

QAA Subject benchmark statement (if applicable)

Other internal and / or external reference points

N/A

Faculty and Department / School

Faculty of Engineering and Physical Sciences - Computer Science

Programme Leader

GILLAM Lee (Computer Sci)

Date of production/revision of spec

21/09/2019

Educational aims of the programme

  • The key educational aim of the programme is to prepare students for a variety of leading roles in data science. Such roles will involve data-intensive computing and lead to positions as data scientists, data analysts, data engineers and data architects, as well as business analysts and database administrators, with expected progression through to managerial roles involving teams of these. Creation, collection, management and analysis of data is core to a wide range of industry activities, from politics to advertising, health, finance, and numerous others.
  • The programme incorporates an optional year in industry in order to foster close engagement with the employers of data scientists. This offers an attractive proposition to employers and provides students who have completed the taught programme, and whose subsequent assessment relates to practical experience, with access to potential employers following graduation. An extension to the dissertation emphasises the importance of clear business understanding of value being derived from research and development.

Programme learning outcomes

Attributes Developed Awards Ref.
The principles and practices of data science K PGCert, PGDip, MSc
The principles and applications of data science technologies K PGCert, PGDip, MSc
The professional issues involved in the exploitation of data K PGCert, PGDip, MSc
The areas of emergent and innovative data science technologies K PGCert, PGDip, MSc
The key research issues in data science K PGDip, MSc
Understand, articulate, and demonstrate how to achieve the requirements of the users of data science applications C PGCert, PGDip, MSc
Research, develop, and evaluate data science methods C PGDip, MSc
Specify, design and develop solutions to complex and substantial data science problems C PGDip, MSc
The practices and business relevance of data science P PGCert, PGDip, MSc
The ability to critically evaluate software systems and tools P PGCert, PGDip, MSc
The capability to work as an effective member of a team P PGCert, PGDip, MSc
The ability to communicate effectively with specialists and non-specialists to understand their needs P PGCert, PGDip, MSc
The ability to apply and justify appropriate ways to analyse data and present information P PGDip, MSc
The ability to plan, research, manage and implement a major project P MSc
Research and information retrieval skills T PGCert, PGDip, MSc
Numeracy in both understanding and presenting cases involving a quantitative dimension T PGCert, PGDip, MSc
Self-learning skills T PGCert, PGDip, MSc
Succinctly present, to a range of audiences, knowledge relevant to the building, testing and deployment of a system T PGCert, PGDip, MSc
Time management and organisational skills T PGCert, PGDip, MSc
Effective use of specialist IT facilities T PGCert, PGDip, MSc
Continuing professional development T 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 two academic years, 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)
*some programmes may contain up to 30 credits at FHEQ level 6.

Programme Adjustments (if applicable)

N/A

Modules

Year 1 (full-time) - FHEQ Levels 6 and 7

Optional modules for Year 1 (full-time) - FHEQ Levels 6 and 7

4 modules of 15 credits each (60 credits total), semester 1: students must choose 1 module from 2 optional
4 modules of 15 credits each (60 credits total), semester 2: students must choose 2 modules from 5 optional
1 dissertation module of 60 credits, summer

Year 1 (full-time with placement - 2 years) - FHEQ Levels 6 and 7

Optional modules for Year 1 (full-time with placement - 2 years) - FHEQ Levels 6 and 7

4 modules of 15 credits each (60 credits total), year 1, semester 1: students must choose 1 module from 2 optional
4 modules of 15 credits each (60 credits total), year 1, semester 2: students must choose 2 modules from 5 optional

Year 2 (full-time with placement - 2 years) - FHEQ Levels 6 and 7

Optional modules for Year 2 (full-time with placement - 2 years) - FHEQ Levels 6 and 7

1 module of 30 credits reflecting placement learning, year 2
1 module of 30 credits reflecting business relevance, year 2
1 dissertation module of 60 credits, year 2 and summer

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) 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 2020/1 academic year.