MSc in Data Science
Kingston University
Key Information
Campus location
Kingston upon Thames, United Kingdom
Languages
English
Study format
On-Campus
Duration
1 - 2 year
Pace
Full time, Part time
Tuition fees
GBP 9,860 / per year **
Application deadline
Request info *
Earliest start date
Request info
* there is no application deadline for postgraduate courses
** home full-time: £9,860 | international full-time: £17,500
Introduction
Why choose this course?
Data Science is one of the most rapidly expanding areas of employment globally, due to rapid and ongoing developments in computer systems and data gathering. Large data sets are widespread in business, science and government. This course builds on the established strengths of the Mathematics and Computer Science programmes at Kingston and develops a multidisciplinary approach to the computational analysis of data. There is an increasing demand for data-savvy professionals, both in industry and in research, who are able to make sense of complex datasets, build models and apply them to the solution of relevant problems. You will get the opportunity to develop your skills in a way which will prepare you for careers in this fast-growing and exciting area.
Reasons to choose Kingston University
- This course aligns with a thriving area of applied machine learning research, giving opportunities for exposure to plenty of cutting-edge examples and exercises.
- This course has flexible entry points and has been designed for a variety of disciplines and backgrounds.
- Like many MSc courses in the School of Computer Science and Mathematics, Data Science benefits from a diverse community of learners. You will study in week-long blocks that can fit around different work/study patterns.
Admissions
Curriculum
What you will study
The multidisciplinary nature of data science is reflected in this MSc programme through the careful combination of modules in data management, analysis, modelling, visualisation and artificial intelligence (AI), which are taught by a cross-disciplinary team whose expertise encompasses mathematics, statistics, AI and machine learning, information management, and user experience design.
For a student to go on placement they are required to pass every module the first time with no reassessments. It is the responsibility of individual students to find a suitable paid placement. Students will be supported by our dedicated placement team in securing this opportunity.
Modules
The programme is made up of four modules each worth 30 credit points plus an individual project worth 60 credits. The optional Professional Placement can be undertaken following the completion of the other modules. The optional Professional Placement taken during an additional year will give 120 credits.
Please note that this is an indicative list of modules and is not intended as a definitive list.
Core modules
- Databases and Data Management
- Data Analytics and Visualisation
- Applied Data Programming
- Machine Learning and Artificial Intelligence
- Project Dissertation
- Professional Placement
Please note
Optional modules only run if there is enough demand. If we have an insufficient number of students interested in an optional module, that module will not be offered for this course.
Program Tuition Fee
Career Opportunities
Work placement scheme
Many postgraduate courses at Kingston University allow students to take the option of a 12-month work placement as part of their course. The responsibility for finding the work placement is with the student; we cannot guarantee the placement, just the opportunity to undertake it. You may find securing a professional placement difficult as they are highly competitive and challenging, but they are also incredibly rewarding. It is very important to prepare and apply yourself if this is the route you wish to take. Employers look for great written and oral communication skills and an excellent CV/portfolio. As the work placement is an assessed part of the course, it is covered by a student's Student Route visa.
Careers and recruitment advice
The Faculty has a specialist employability team. It provides friendly and high-quality careers and recruitment guidance, including advice and sessions on job-seeking skills such as CV preparation, application forms and interview techniques. Specific advice is also available for international students about the UK job market and employers' expectations and requirements.
The team runs employer events throughout the year, including job fairs, key speakers from the industry and interviews on campus. These events give you the opportunity to hear from, and network with, employers in an informal setting.
After you graduate
This course offers an excellent foundation aimed at careers contained within the more generic data science umbrella, including data engineer, data analyst and machine learning engineer.