MSc Applied Data Science and Statistics

at University of Exeter

Teaching on this programme is delivered through a mix of lectures, projects, group work and hands-on lab sessions. Many of your lectures will be interactive combining a blend of classroom learning, coding and data analysis. Group and individual projects will be undertaken using real data and will often focus on topical challenges which are the focus of current research.
 

Assessments will be based on a combination of exams, group and individual project work, practical data analysis, visualisation and communication skills.
 

The course is based around open source software. As a student you will also have access to many programmes, such as Matlab, through the University.
 

All aspects of the course are design with windows, mac and linux in mind. Many of your practical sessions will take place in the department’s newly refurbished mac suites.
 

The taught component of the programme is completed in June with the project extending over the summer period for submission in September.
 

The modules we outline here provide examples of what you can expect to learn on this degree course based on recent academic teaching. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand.

Compulsory modules

• Working with Data
• Introduction to Data Science and Statistical Modelling
• Applications of Data Science and Statistics
• Communicating Data Science
• Advanced Topics in Statistics
• Statistical Data Modelling
• Data Science and Statistical Modelling in Space and Time
• Data Governance and Ethics
• Applied Data Science and Statistics Project

A good degree (normally a 2:2).
 

Successful applicants will usually have at least an A-level or equivalent in Mathematics and/or have received quantitative skills training as part of their undergraduate programme or professional experience.
 

Prior experience of coding is not necessary on this course.
 

English language requirements
 

• IELTS

  Overall score 6.5. No less than 6.0 in any section.
   

• TOEFL

  Overall score 90 with minimum scores of 21 for writing, 21 for listening, 22 for reading and 23 for speaking.

UK fees per year:
£11,500 full-time
 

With Professional placement (second year) £2,300 full-time
 

International fees per year:
£24,500 full-time
 

With Professional placement (second year) £4,900 full-time

Employer demand for statistically-trained data scientists is high. A staggering 98% of our 2016/17 computing graduates, and 84% of mathematics graduates, went into work or further study within six months of graduation.

Graduate destinations

Whether you’re looking to take your career in a new direction or for an MSc that will sit alongside your undergraduate degree to land you an exhilarating graduate job, you’re unlikely to find a better choice than Applied Data Science and Statistics.