MSc Data Science

General

Read more about this program on the school's website

Program Description

Why choose this course

Collecting, managing and analysing data is essential across many sectors – from finance to politics, and advertising to healthcare. This course will give you the advanced computation and mathematics skills you’ll need to work in the growing field of data science.

Designed in collaboration with industry and drawing on our leading research, our MSc Data Science course will prepare you for a career as a data scientist, data analyst, data engineer, data architect or a business analyst.

This course uniquely addresses the fundamentals of data as well as the technical considerations needed to handle data with increasing scale and complexity.

What you will study

This course combines in-depth study of the theory and practice of data science with an optional year-long placement in industry, where you’ll get the chance to apply your knowledge to industry-relevant challenges. A placement will also allow you to discover the business value of data-oriented research and development.

You’ll develop solid technical knowledge of data science principles and practices, machine learning and data mining, practical business analytics, database systems, and cloud computing. You can also customise this course with optional modules in information security, sensors, and artificial intelligence.

Finally, you’ll complete a dissertation where you can further explore an area that interests you. This is particularly useful if you’re looking to progress to a PhD.

Modules

Modules listed are indicative, reflecting the information available at the time of publication. Please note that modules may be subject to teaching availability, student demand and/or class size caps. 

The University operates a credit framework for all taught programmes based on a 15-credit tariff. Modules can be either 15, 30, 45 or 60 credits, and additionally for some masters dissertations, 90 credits.

The structure of our programmes follows clear educational aims that are tailored to each programme. These are all outlined in the programme specifications which include further details such as the learning outcomes:

Full-time: year 1

  • Data Science Principles And Practices, Compulsory
  • Database Systems, Compulsory
  • Information Security Management, Optional
  • Internet of Things, Optional
  • Practical Business Analytics, Compulsory
  • AI and AI Programming, Optional
  • Cloud Computing, Compulsory
  • Computational Intelligence, Optional
  • Image Processing and Deep Learning, Optional
  • Information Security for Business and Government, Optional
  • Machine Learning and Data Mining, Compulsory
  • Mobile Applications and Web Services, Optional
  • MSc Dissertation, Compulsory

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

Full-time with placement - 2 years: year 1

  • Data Science Principles and Practices, Compulsory
  • Database Systems,Compulsory
  • Information Security Management,Optional
  • Internet of Things, Optional
  • Practical Business Analytics,Compulsory
  • AI and AI Programming,Optional
  • Cloud Computing, Compulsory
  • Computational Intelligence, Optional
  • Image Processing and Deep Learning, Optional
  • Information Security for Business and Government, Optional
  • Machine Learning and Data Mining, Compulsory
  • Mobile Applications and Web Services,Optional

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

Full-time with placement - 2 years: year 2

  • Aligning Business Value With Research And Development, Core
  • MSc Dissertation, Compulsory
  • Professional Postgraduate, Year Report Core

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

Timetable

Course timetables are normally available one month before the start of the semester. Please note that while we make every effort to ensure that timetables are as student-friendly as possible, scheduled teaching can take place on any day of the week (Monday–Friday). Wednesday afternoons are normally reserved for sports and cultural activities. Part-time classes are normally scheduled on one or two days per week, details of which can be obtained from the course administrators. 

Entry requirements

A minimum of a 2:2 UK honours degree in either Computer Science, Electrical or Electronic Engineering, Mathematics, Physics, related disciplines with demonstrable exposure to programming and mathematics, or other alternative subjects related to data analysis, data science or informatics, or a recognised equivalent international qualification. We'll also consider relevant work experience if you don't meet these requirements.

English language requirements

IELTS Academic: 6.5 overall with 6.0 in writing and 5.5 in each other component.

If you do not currently meet the level required for your programme, we offer intensive pre-sessional English language courses, designed to take you to the level of English ability and skill required for your studies here.

Credit transfer

The University of Surrey recognises that many students enter their higher education course with valuable knowledge and skills developed through a range of professional, vocational and community contexts. If this applies to you, a process called recognition of prior learning (RPL) may allow you to enter your course at a point appropriate to your previous learning and experience, or to join the start of a course without the formal entry requirements. This means that you may be exempt from certain elements of study in the course for which you have applied and be awarded credit based on your previous qualifications/experience. There are restrictions on RPL for some courses and fees may be payable for certain claims. 

Fees

Full-time - 1 year

  • UK/EU: £9,500
  • Overseas: £21,700

Full-time (with placement) - 2 years

  • UK/EU: £9,500
  • Overseas: £21,700

The placement option for this course costs an additional £1,850 on top of the base course fee listed above.

Please note:

  • These fees apply to students commencing study in the academic year 2020-21 only. Fees for new starters are reviewed annually.
  • If you are on a two-year or three-year part-time structured masters course, the annual fee is payable in Year 1 and Year 2 of the course.
Last updated May 2020

About the School

The University of Surrey was established on 9 September 1966 with the grant of its Royal Charter, but its roots go back to a late 19th-century concern to provide greater access to further and higher e ... Read More

The University of Surrey was established on 9 September 1966 with the grant of its Royal Charter, but its roots go back to a late 19th-century concern to provide greater access to further and higher education for the poorer inhabitants of London. Read less