Find a courseExpand
With our MSc in Data Analytics you will learn fundamental theory and practice mathematical and statistical modelling. With special reference to data analysis and visualisation.
With recent developments in digital technology, society has entered the era of 'big data'. The UK Government recognises big data as one of the eight great technologies. It has priorities for funding and research and will have a pivotal role in rebuilding and strengthening the economy.
The explosion and wealth of available data in a wide range of application domains gives rise to new challenges and opportunities in all areas. One major challenge is how to take advantage of the unprecedented scale of data. And how to gain further insights and knowledge to improve the quality of offered products and services.
We designed the MSc in Data Analytics for those currently in employment. And to run alongside the MSc in Data Analytics for Government. It is available to all students, and is not exclusive to any particular employment sector.
How to apply
Questions about fees?
Contact Student Finance on:
Questions about fees?
Fees quoted are for the first year only. If you are studying a course that lasts longer than one year, your fees will increase each year.
The following factors will be taken into account by the University when it is setting the annual fees: inflationary measures such as the retail price indices, projected increases in University costs, changes in the level of funding received from Government sources, admissions statistics and access considerations including the availability of student support.
How and when to pay
Tuition fee instalments for the semester are due by the Monday of week 1 of each semester. Students are not liable for full fees for that semester if they leave before week 4. If the leaving date is after week 4, full fees for the semester are payable.
|Additional costs||Amount (£)|
|Travel and associated costs if relevant when undertaking work placements.||£30-700 per year|
If you are considering bringing your own computer, most of the software we use is on Windows machines though there is some use of Linux. We do not use Apple MacOS and their use is not required but some students do choose to bring MacOS machines so a Mac can be a viable choice if you so wish.
It’s your responsibility to cover print / binding costs where coursework submission is required. Please note that a lot of the coursework is now submitted online.
|You may choose to purchase books to support your studies. Many books on our reading lists are available via the Library, or can be purchased secondhand.||£20-60 per book|
Accommodation fees in Brookes Letting (most do not include bills)
|£94-265 per week|
Accommodation fees in university halls (bills included, excluding laundry costs)
|£122-180 per week|
Graduation costs include tickets, gowning and photography. Gowns are not compulsory but typically students do hire robes, starting at £41.
Students are responsible for their own travel to and from university for classes. BrookesBus travel is subsidised for full-time undergraduate students that are on a course with a fee of £9,250 or more, or living in an Oxford Brookes hall of residence. There is an administration fee for the production of a BrookesKey.
Financial support and scholarships
Featured funding opportunities available for this course.
All financial support and scholarships
Learning and assessment
The MSc in Data Analytics has a modular course-unit design. This provides you with flexibility and choice.
To qualify for a master’s degree, you must pass modules amounting to 180 credits. This comprises:
- twelve compulsory taught modules (10 credits each)
- dissertation (60 credits).
Brand new facilities
All Computing courses are moving from Wheatley Campus to brand new, custom designed buildings at our main Headington site. These buildings are expected to open in September 2024, but as with any large-scale building project those timescales could change. You'll benefit from state-of-the-art facilities and equipment including a VR cave, digital, computing and robotics labs, as well as social learning spaces, teaching rooms and cafe space.
The School of Engineering, Computing and Mathematics is home to world-leading and award-winning research.
Our focus is on user-inspired original research with real-world applications. We have a wide range of activities from model-driven system design and empirical software engineering through to web technologies, cloud computing and big data, digital forensics and computer vision.
Staff and students collaborate on projects supported by the EPSRC, the EU, the DTI, and several major UK companies.
Computing achieved an excellent assessment of its UoA (Unit of Assessment) 11 return for REF 2014 (Research Excellence Framework).
Students on this course can be involved with research in the following research groups:
After you graduate
This programme allows graduates to undertake a wide range of roles in data science. Common careers in this area are as:
- data engineers
- business analysts
- data managers
- machine learning practitioners
- data scientists.