About this taught graduate course
This course is designed for technically-minded graduates with a background in computer science, mathematics or the physical sciences.
It provides a distinctive perspective on data analytics that combines aspects of computer science, business, engineering and mathematics. Alongside the technical skills and expertise the course develops, this means that our graduates can pursue opportunities at the forefront of an emerging discipline that will continue to revolutionise science and industry for years to come.
General entry requirements
First Class Honours degree or a high 2:i undergraduate degree. The degree must be in Computer Science, Mathematics, Statistics, Physics, or another relevant quantitatively-focused degree.
English language requirements
You can find out more about our English language requirements. This course requires the following:
- Band A
- IELTS overall score of 6.5, minimum component scores not below 6.0.
We welcome applications from students with other internationally recognised qualifications.
For more information, please visit the international entry requirements page.
There are no additional entry requirements for this course.
Dissertation Project in Data Analytics
The dissertation is intended to give you the opportunity to consolidate the knowledge that you have acquired during the first half of the MSc, and to undertake a research led project. You will be expected to carry out a significant development exercise, either in the form of a research project or a knowledge transfer project that is applying recent research and the advanced topics taught in the first half of the course.
The module aims to facilitate the acquisition of a range of research methods, ensure that you are aware of the legal framework within which research is conducted, and that you are sensitive to the social and ethical issues which affect Computer Science/Data Analytics research.
Foundations of Data Analytics
You will study techniques for how to go from raw data to a deeper understanding of the patterns and structures within the data, to support making predictions and decision making.
Foundations of Computing
The aim of the module is to equip you with a grounding in foundations of computing and to enable you to confidently undertake a taught masters programme in advanced computing topics.
The module will focus on foundational concepts underlying data mining and it will introduce you to algorithms commonly used in data mining tools. You will also explore application of these tools to real-world problems.
Optional modules can vary from year to year. Example optional modules may include:
- High Performance Computing
- Algorithmic Game Theory
- Image and Video Analysis
- Agent Based Systems
- Sensor Networks and Mobile Data Communications
- Advanced Computer Security
- Social Informatics
- Natural Language Processing
The course has two components - a taught component and a dissertation. The taught component will allow you to acquire expertise and technical skills in cutting edge areas of data analytics, including computer security, data mining, natural language processing and visualisation, as well as experience of project management and scientific method.
The taught component is complemented by a dissertation project, undertaken primarily in the second half of your course, which offers the opportunity to specialise and explore areas of interest in greater depth. Your dissertation may be entirely research focussed or directed towards the application of advanced topics.
You will be assessed through a variety of methods; exams, coursework, presentations and a dissertation. Exams take place in the summer term; usually in May and/or June with dissertations expected to be completed in September.
Most departments have reading lists available through Warwick Library. If you would like to view reading lists for the current cohort of students you can visit our Warwick Library web page.
Your personalised timetable will be complete when you are registered for all modules, compulsory and optional, and you have been allocated to your lectures, seminars and other small group classes. Your compulsory modules will be registered for you and you will be able to choose your optional modules when you join us.
Graduates from these courses have gone on to work for employers including: BAE Systems Applied Intelligence; Barclays; Brainlabs; Dell EMC; Huawei Technologies Co Ltd; JPMorgan; KPMG; PlayStation and UBS.
Our graduates have pursued roles such as: business and related associate professionals; finance and investment analysts and advisers; IT business analysts, architects and systems designers; management consultants and business analysts; programmers and software development professionals.
Our department has a dedicated professionally qualified Senior Careers Consultant offering impartial advice and guidance together with workshops and events throughout the year. Previous examples of workshops and events include:
- Computing Your Career
- Technology in Professional Services
- Warwick careers fairs throughout the year
- Working in the Computer Games Industry
- Computer Science Alumni Event
Computer Science at Warwick
What are computers capable of? How do we use them to solve major world problems? What are their limitations?
Computer Science at Warwick offers you a community of excellence across the breadth of computer science. Join like-minded thinkers and friends who relish the challenges of shaping future technology.
You will study the theoretical foundation in established areas of the discipline. You will then apply your learning to industrially relevant problems, developing technical and transferable skills which will position you excellently for your future career.
Our Postgraduate Taught courses
Our Postgraduate Research courses
Tuition fees are payable for each year of your course at the start of the academic year, or at the start of your course, if later. Academic fees cover the cost of tuition, examinations and registration and some student amenities.
Fee Status Guidance
The University carries out an initial fee status assessment based on information provided in the application and according to the guidance published by UKCISA. Students are classified as either Home or Overseas Fee status and this can determine the tuition fee and eligibility of certain scholarships and financial support.
If you receive an offer, your fee status will be stated with the tuition fee information, however we are awaiting guidance from the UK government regarding fee status for EU, other EEA and Swiss nationals and their family members living in the UK for academic year 2021/22 onwards. We are not able to confirm the fee status for these students until the relevant eligibility criteria have been confirmed. Once we have received further information from the UK government, we will provide you with an update on your fee status and let you know if any additional information is required. If you believe your fee status has been incorrectly classified you can complete a fee status assessment questionnaire (follow the instructions in your offer) and provide the required documentation for this to be reassessed.
The UK Council for International Student Affairs (UKCISA) provides guidance to UK universities on fees status criteria, you can find the latest guidance on the impact of Brexit on fees and student support on the UKCISA website.
Additional course costs
As well as tuition fees and living expenses, some courses may require you to cover the cost of field trips or costs associated with travel abroad. Information about department specific costs should be considered in conjunction with the more general costs below, such as:
- Core text books
- Printer credits
- Dissertation binding
- Robe hire for your degree ceremony
Scholarships and bursaries
Find out how to apply to us, ask your questions, and find out more.
Here is our checklist on how to apply for taught postgraduate courses at Warwick.
Here is our checklist on how to apply for research postgraduate degrees at the University of Warwick.