Master of Science [M.Sc] [Data Science] From University of Exeter

Features Of the Program :

• By studying Data Science at Exeter you will be joining a rapidly growing department that is already among the top ten for computer science in the UK.
• This programme offers you the flexibility to pursue data science according to your own passions.
• Designed for those interested in learning the underpinning theory of Data Science together with methods for implementation and application.
• A large component of the degree involves a research project which is a one-to-one engagement with a mentor from the university who will be an active data scientist and leader in their field.
• This course is for anyone with a foundational level of coding and mathematical knowledge who wants a thorough grounding in the fundamentals of modern data science as well as its application to real-world problems.
• Duration of the course : Full Time- 1 Year ; Part Time- 2 Years

Course content

• You may choose up to 30 credits of NQF Level 7 modules which are not listed above, either from within or outside of the department, subject to approval, timetabling and satisfaction of prerequisites.
• For Part Time Students:

  • Year 1

    You must complete at least 4 modules (60 credits) which must include ECMM443 Introduction to Data Science and ECMM444 Fundamentals of Data Science.

  • Year 2

    You must complete at least 4 modules (60 credits) one of which must be ECMM451 Data Science Research Project.

Teaching And Learning :

• Teaching is mainly delivered by lectures, workshops and online materials. Each module references core and supplementary texts, or material recommended by module deliverers, which provide in depth coverage of the subject and go beyond the lectures.
•  You will discuss the very latest ideas, research discoveries and new technologies, becoming actively involved in a research project yourself.
• They operate an open door policy, so it is easy to consult individual members of staff or to fix appointments with them via email. As a friendly group of staff, you will get to know us well during your time here.
• Assessment methods include essays, closed book tests, exercises in problem solving, use of the Web for tool-based analysis and investigation, mini-projects, extended essays on specialized topics, and individual and group presentations.
•  The opportunities for businesses and individuals who can manage, manipulate and extract insights from these enormous data sets are limitless.
• The Career Zone provides one-on-one support and is home to a wealth of business and industry contacts. Additionally, they host useful training events, workshops and lectures which are designed to further support you in developing your enterprise acumen.