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Data Analytics - MSc (Full-Time, 2018 Entry)

Our course is designed for technically minded graduates with a background in computer science, mathematics or the physical sciences. The course 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 are able to pursue opportunities at the forefront of an emerging discipline that will continue to revolutionise science and industry for years to come.

Core Modules:
· Research Methods
· Data Mining
· Foundations of Data Analytics
· Dissertation Project in Data Analytics
· Foundations of Computing

Optional Modules:
This programme has optional modules to choose from to allow you to achieve the required credits to successfully complete the award. At a research led institution, optional module lists are subject to change each year to keep the student learning experience current and up-to-date. For the optional modules available in this department please visit the department website.

* The modules mentioned above may be subject to change. Please read our terms and conditions for more detailed information.

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 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 focused or directed towards the application of advanced topics. Crucially, there is always scope for commercial support from a wide range of industrial partners, giving you the chance to establish industrial links during your course.

Assessment:
Programmes within the department are assessed through a variety of methods depending on the module choices each student makes.

Graduate Destinations:

Our graduates have gone on to work for organisations including: Sony Entertainment Europe and AhnLab.

Examples of our graduates’ job roles include: Data Analyst and Security Analyst.

Work Experience Opportunities:

All students are supported in seeking employment on graduation by our dedicated Industrial Liaison and Careers and Skills Link Officer.

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Essential information

Duration

Full-time: 1 year

Entry requirements

2:ii undergraduate degree (or equivalent) in a related subject

English Language requirements

Band A

Department of study

Computer Science

Location of study

University of Warwick

Course fees

Full-time:
Home/EU: £8,580 per year
Overseas: £24,640 per year

Find out more about fees and funding.

 

Department website

Order a PG magazine

Application information

 

This information is applicable for 2018 entry.