MSc in Data Science and Analytics

About the course
 

The MSc in Data Science and Analytics utilises our strong international reputation for research in these areas. The expertise of our staff influences this course which explores current research and practice in data science and analytics, extending students’ knowledge and understanding of the principles and practice of obtaining data from various sources, the essential methods for pre-processing and cleaning data, data analytics and modelling. 

This course is part of our Master's programme in Computer Science. 
 

Why choose this course?
 

• This MSc is available with an optional one-year industry placement. 

• One of a range of advanced courses within our postgraduate Master's programme in Computer Science, this particular course provides you with a specialism in Data Science  and Analytics

• Advanced topics studied include mathematics and programming of data science, data mining, machine learning and neural artificis, and data analytics applications.

• Taught by a highly-regarded and long-established computer science department.

• Computer Science saw 90% of its research ranked as world-leading (Research Excellence Framework, 2022). 
   

What will I study?
 

Classes consist of lectures, small group seminars, and practical work in our well-equipped laboratories. We use modern, industry-standard software wherever possible. There are specialist facilities for networking and multimedia and a project laboratory especially for masters students. In addition to scheduled classes, you will be expected a significant amount of time in self-study, taking advantage of the extensive and up-to-date facilities. These include the Learning Resource Centres, open 24x7, with 1,500 computer workstations and wifi access, Studynet our versatile online study environment usable on and off campus, and open access to our labs.

For admission to MSc Data Science and Analytics, the normal requirement is a good Honours Degree (or equivalent) in computer science or cognate discipline. The choice of award title students may be accepted on to will be determined by the award applied for and the prior learning of the student as demonstrated by the transcript for existing qualifications held by the applicant.
 

Applicants whose first language is not English must demonstrate sufficient competence in English to benefit from the Programme.  This is normally demonstrated by recognised awards equivalent to an overall IELTS score of 6.0. Candidates who do not satisfy these requirements will be considered on a case-by-case basis.
 

The programme is subject to the University's Principles, Policies and Regulations for the Admission of Students to Undergraduate and Taught Postgraduate Programmes (in UPR SA03), along with associated procedures.  These will take account of University policy and guidelines for assessing accredited prior certificated learning (APCL) and accredited prior experiential learning (APEL).

UK Students
 

Full time

• £9450 for the 2022/2023 academic year
   

Part time

• £790 per 15 credits for the 2022/2023 academic year
   

EU Students
 

Full time

• £16500 for the 2022/2023 academic year
   

Part time

• £1375 per 15 credits for the 2022/2023 academic year
   

International Students
 

Full time

• £16500 for the 2022/2023 academic year
   

Part time

• £1375 per 15 credits for the 2022/2023 academic year
   

*Tuition fees are charged annually. The fees quoted above are for the specified year(s) only. Fees may be higher in future years, for both new and continuing students. Please see the University's Fees and Finance Policy (and in particular the section headed "When tuition fees change"), for further information about when and by how much the University may increase its fees for future years.

Our master's programme is designed to give Computer Science graduates the specialist, up-to-date skills and knowledge sought after by employers, whether in business, industry, government or research.
 

The MSc Data Science and Analytics course will equip students with the knowledge and practical skills in data science and analytics from the foundations of data science in mathematics and programming, data mining, machine learning, to data analytics applications.
 

Successful graduates may pursue a career as a data scientist or data engineer, data analytics consultant, digital marketing manager across a wide range of sectors.
 

Work placement
 

This MSc is available with an optional one-year industry placement. 
 

This offers you the opportunity to work for one year in a highly professional and stimulating environment. You will be a full time employee in a company earning a salary and will learn new skills that can't be taught at University. During the placement, you will be able to gain further insight into industrial practice that you can take forward into your individual project.