
Overview
Gaining useful insights from data involves logical thinking, technical skills and deep knowledge of the domain the data comes from. Graduates from Law, Finance, Marketing, Business, Creative Arts, Social Sciences, Linguistics, Health Sciences, Sports Science, Psychology, Geography, Biological Sciences and Engineering (to name a few) are best placed to analyse data from their own discipline and bring a unique perspective (and set of questions) to a data science team.
The MSc Data Science course at Coventry University is designed to support students with little previous experience of data analysis or computer programming to gain new skills such as working with databases; statistical thinking; programming in high-level languages; modelling; applying data science tools and packages; machine learning; information retrieval; data visualisation; and addressing the challenges of big data.
These complement existing knowledge and skills from your undergraduate study or work experience, such as formulating questions, building arguments, writing reports, delivering presentations, creative problem solving, and a curiosity about data. Features of the course include working with other students with different backgrounds, experience and perspectives, and gaining broad experience of working with a variety of types of data to address diverse and interesting questions.
Career
Data Scientists are in short supply and there is high demand for data science skills across business, government, healthcare, science, finance, and marketing (to name a few).
As a graduates of this course you will be well prepared to join a team in an organisation related to your undergraduate discipline (contributing data analytics skills alongside their subject knowledge) or a specialist data science team in a more general organisation or consultancy.
Coventry University is committed to preparing you for your future career and giving you a competitive edge in the graduate job market. The university's Talent Team provide a wide range of support services to help you plan and prepare for your career.
Get more details
Visit official programme websiteProgramme Structure
Courses include:
Programming for Data Science
Principles of Data Science
Big Data Management and Data Visualisation
Data Management Systems
Information Retrieval
Machine Learning
Check out the full curriculum
Visit official programme websiteKey information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , National
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If you’re an international student and are interested in applying for a Foundation year, HNC, HND or Degree course then you’ll need to apply to us directly.
Language
Credits
Delivered
Disciplines
Computer Sciences Data Science & Big Data View 725 other Masters in Computer Sciences in United KingdomExplore more key information
Visit official programme websiteAcademic requirements
English requirements
Other requirements
General requirements
An applicant will normally be expected to possess at least one of the following:
- A good honours degree or equivalent qualification.
- An unclassified degree in a relevant field plus professional experience.
In addition, applicants will need some knowledge of computer programming. Applicants from non-programming backgrounds are encouraged to take part in a free online course* with the aim of bringing their knowledge of programming and basic data science topics up to the required level for successful application.
Make sure you meet all requirements
Visit official programme websiteTuition Fee
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International
18250 GBP/yearTuition FeeBased on the tuition of 18250 GBP per year during 12 months. -
National
10600 GBP/yearTuition FeeBased on the tuition of 10600 GBP per year during 12 months.
Living costs for Coventry
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.