Data Science MSc – 2023 entry
Key information
Start date: September 2023
- Study mode and duration
- Full-time: 1 year
- Full-time (with placement): 2 years
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 leading research, our Data Science MSc will prepare you for a career as a data scientist, data analyst, data engineer, data architect or a business analyst.
This programme 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 work placement, where you’ll get the chance to apply your knowledge to industry-relevant challenges. A placement also allows you to discover the business value of data-oriented research and development.
You’ll acquire 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 MSc with optional modules in information security, natural language processing and advanced artificial intelligence.
Finally, you’ll complete a dissertation where you can further explore an area that interests you. Our dissertation projects involve topical real-world problems, often linked into cutting-edge research.
Please be aware: the course content and modules listed for this course are subject to change for the 2023/24 academic year, whilst we undertake a curriculum design review. Please contact the programme leader if you have any queries about the course.
Facilities
Students on this course benefit from a range of advanced facilities, including:
- £1.7m multi-purpose Computer Science Laboratory with state-of-the-art audio-visual equipment. View a video tour
- Six open access PC labs and four dedicated specialist labs
- Specialist desktop solutions, including development software, research packages and dedicated printing
- A high-performance computing (HPC) cluster
- An access grid node (AGN) which provides a 6m screen for video conferencing, presentation sharing and software demonstration
- Free software and free wireless network
- Two common rooms, one for quiet study, available for students to use 24 hours a day.
Careers and graduate prospects
We offer careers information, advice and guidance to all students whilst studying with us, which is extended to our alumni for three years after leaving the University. Our graduates have lifetime access to Surrey Pathfinder, our online portal for appointment and events bookings, jobs, placements and interactive development tools.
Graduates of this course are in high demand across many sectors, and go on to roles such as data scientist, data analyst, data engineer, data architect or business analyst.
94 per cent of our computer science postgraduate students go on to employment or further study (Graduate Outcomes survey 2022, HESA).
Schools and departments
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, 75 and 120 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:
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), year 1, semester 2: students must choose 2 optional modules
1 dissertation module of 60 credits, summer
February start:
4 modules of 15 credits each (60 credits total), semester 1 (February): students must choose 2 optional modules
4 modules of 15 credits each (60 credits total), year 1, semester 2 (September): students must choose 1 optional module
1 dissertation module of 60 credits, summer
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 optional modules available
| Module title | Status | Semester |
|---|---|---|
| MSC DISSERTATION | Core | Year-long |
| PROFESSIONAL POSTGRADUATE YEAR (DATA SCIENCE) | Core | Cross Year |
Optional modules for Year 2 (full-time with placement - 2 years) - FHEQ Levels 6 and 7
1 module of 60 credits reflecting placement learning, year 2
1 dissertation module of 60 credits, across academic years
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 Academic Hive. View our Code of practice for the scheduling of teaching and assessment (PDF).
Contact hours
Contact hours can vary across our modules. Full details of the contact hours for each module are available from the University of Surrey's module catalogue. See the modules section for more information.
Entry requirements
A minimum of a 2:2 UK honours degree in 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.
Do I meet the requirements for this course?
We require you to submit a full application so that we can formally assess whether you meet the criteria published. Unfortunately, we are unable to provide an outcome based on an enquiry (via email, webform enquiry, phone or live chat).
International entry requirements by country
English language requirements
IELTS Academic: 6.5 overall with 6.0 in writing and 5.5 in each other component.
View the other English language qualifications that we accept.
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 your experience exceeds the typical requirements for entry to the programme, 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. If you can demonstrate that you have met the learning outcomes for specific modules through your previous learning, it may be possible to exempt you from those modules, and for you to 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.
In some cases, prior knowledge and skills may allow applicants to join the start of a course without meeting the formal entry requirements.
Please see our code transfer and recognition of prior learning guide (PDF) and recognition of prior learning and prior credit web page for further information. Please email Admissions (admissions@surrey.ac.uk) with any queries.
Fees per year
Start date: September 2023
Full-time - 1 year
- UK
- £10,400
- Overseas
- £24,400
Full-time (with placement) - 2 years
- UK
- £10,400
- Overseas
- £24,400
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 2023-24 only. Fees for new starters are reviewed annually
- If you are on a two-year full-time MFA programme, or a two-year or three-year part-time masters programme (excluding modular/self-paced/distance learning), the annual fee is payable in Year 1 and Year 2 of the programme
- Annual fees will increase by 4% for each subsequent year of study, rounded up to the nearest £100, subject to any overriding applicable legislative requirements.
Payment schedule
- Students in receipt of a tuition fee loan: Will have their fees paid by the Student Loans Company in line with their schedule
- International students, or UK/EU students who have not taken out a tuition fee loan: Are required to pay their fees either in full at the beginning of the programme or in two instalments as follows:
- 50% payable 10 days after the invoice date (expected to be early October of each academic year)
- 50% in January of the same academic year.
The exact date(s) will be detailed on invoices. Students on certain part-time programmes, where fees are paid on a modular or stage basis, are not eligible to pay their fees by instalment.
- If you are sponsored: You will provide us with valid sponsorship information that covers the period of your study.
Funding
You may be able to borrow money to help pay your tuition fees and support you with your living costs. Find out more about postgraduate student finance.
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Course | Status |
|---|---|
Data Science MSc Full-time, 12 months, September 2023 | Applications open Closing date: Monday 3 July 2023 |
Please note that we may have to close applications before the stated deadline if we receive a high volume of suitable applications. We advise you to submit your application as soon as it is ready. | |
Data Science MSc Full-time (with placement), 24 months, September 2023 | Applications open Closing date: Monday 3 July 2023 |
Please note that we may have to close applications before the stated deadline if we receive a high volume of suitable applications. We advise you to submit your application as soon as it is ready. | |
Admission information
Our postgraduate admissions policy* provides the basis for admissions practice across the University and gives a framework for how we encourage, consider applications and admit students. You can also read our postgraduate applicant guidance.
Terms and conditions
When you accept an offer of a place at the University of Surrey, you are agreeing to comply with our Charter, Statutes, Ordinances, Policies, Regulations and our terms and conditions. These terms and conditions are provided in two stages: first when we make an offer and second when students who have accepted their offers register to study at the University. View our offer terms and conditions and our registration terms and conditions (PDF) for the 2022/2023 academic year as a guide as to what to expect.
Please note: the offer terms and conditions and registration terms and conditions which you will be asked to agree to may be different from those detailed in the examples. Our offer terms and conditions will generally be available in the September of the calendar year prior to the year in which you begin your studies. Our registration terms and conditions will be available at the start of each academic year and will vary to take into account specifics of your course and changes for the specific academic year.
Disclaimer
This online prospectus has been prepared and published in advance of the academic year to which it applies. The University of Surrey has used its reasonable efforts to ensure that the information is accurate at the time of publishing but changes (for example, to course content or additional costs) may occur given the interval between publishing and commencement of the course. It is therefore very important to check this website for any updates before you apply for a course with us. Read our full disclaimer.
Course location and contact details
Campus location
Stag HillStag Hill is the University's main campus and where the majority of our courses are taught.
University of Surrey Admissions
- Phone: +44 (0)1483 682222
Address
University of Surrey
Guildford
Surrey GU2 7XH