General entry requirements

Minimum 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 requirementsLink opens in a new window. This course requires the following:

• Band A
• IELTS overall score of 6.5, minimum component scores not below 6.0.

International qualifications

We welcome applications from students with other internationally recognised qualifications.

For more information, please visit the international entry requirements pageLink opens in a new window.

Additional requirements

There are no additional entry requirements for this course.

Core modules

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 applies recent research and the advanced topics taught in the first half of the course.

Research Methods

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 decisions.

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 Master's programme in advanced computing topics.

Data Mining

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

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

Read more about the core and optional modules offered within Computer Science on the University's module catalogue.

Teaching

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 methods.

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.

Assessment

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.

Reading lists

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 pageLink opens in a new window.

Your timetable

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.

Your career

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; Play Station; and UBS.

Our graduates have pursued roles such as: business and related associate professionals; finance and investment analysts and advisers; IT business analysts, 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.

Find out more about us on our website.

Our Postgraduate Taught courses

• Computer Science (MSc)
• Data Analytics (MSc)

Our Postgraduate Research courses

• Computer Science (MSc by Research)
• Computer Science (PhD)

Tuition fees

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.

Taught course fees  Research course fees

Fee Status Guidance

We carry out an initial fee status assessment based on the information you provide in your application. Students will be classified as Home or Overseas fee status. Your fee status determines tuition fees, and what financial support and scholarships may be available. If you receive an offer, your fee status will be clearly stated alongside the tuition fee information.

Do you need your fee classification to be reviewed?

If you believe that your fee status has been classified incorrectly, you can complete a fee status assessment questionnaire. Please follow the instructions in your offer information and provide the documents needed to reassess your status.

Find out more about how universities assess fee status

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.

For departmental specific costs, please see the Modules tab on the course web page for the list of core and optional core modules with hyperlinks to our Module Catalogue (please visit the Department’s website if the Module Catalogue hyperlinks are not provided).

Associated costs can be found on the Study tab for each module listed in the Module Catalogue (please note most of the module content applies to 2022/23 year of study). Information about module department specific costs should be considered in conjunction with the more general costs below:

• Core text books
• Printer credits
• Dissertation binding
• Robe hire for your degree ceremony

Scholarships and bursaries