Data science is a growing sector, with the potential to change the way we live in the future by solving or offering insights into many of the largest problems of today.
On this exciting and dynamic course, you’ll learn the necessary programming and mathematics skills to apply these technologies to solve the real-world problems relevant to your existing knowledge and expertise.
You will learn to create intelligent models which can; predict future outcomes based on past data, generate artwork, or give you incredible insight into hard-to-find connections within your datasets. You will gain a deep understanding of data flows within organisations and systems, and how huge amounts of data can be engineered to produce knowledge.
As you learn you will be working with industry standard software and hardware in our specialist labs, alongside students and subject specialists from both creative and technical computing backgrounds, giving you huge opportunities to build networks with the sector-leaders of the future.
Various trips to conferences and events take place during the University year and offer further networking opportunities as well as providing a broader knowledge of the cutting edge of the data science field. There might also be the opportunity to showcase your skills and demonstrate your achievements.
Within the University we host our own events including hackathons, games jams, and industry-linked conferences, which will be free for students to attend.
This course is supported by the Office for Students, and it is possible to apply for a £10,000 scholarship to support your studies. This scholarship is intended to remove barriers for students from under-represented demographics in data science (including black, female and disabled students). More information can be found on the Office for Students website or you can contact us to chat to someone about your options.
Learning will be through practical work and assignments. Some more traditional teaching will take place, but always with a practical focus and tasks intertwined.
You’ll start out with the basics, but the progression will be fast provided you put the work in, and you’ll soon be gaining answers to questions you didn’t know you had.
An honours degree in any discipline at 2:2 or above, relevant industry experience can be taken into account.
|Fees - 2020/21 Academic Year
Home and EU Students
The fee displayed is the total course fee for full-time or part-time study; see also the details of potential extra costs. Please refer to the Tuition Fee and Bursary Policy for payment methods and timescales.
- Data Scientist
- Data Engineer
- Deep Learning Engineer
- Data Analyst
- Research leader
- Machine learning specialist
You’ll be taught by experienced industry professionals, who have worked and conducted research in their area of expertise.
This course has been developed as part of a consortium of Universities, and as a part of that many industry-led talks and events will be open to students of this course.
Be taught by academics of an active artificial intelligence research community, with industry and academic experience in a wide range of AI-linked fields.
Work in our dedicated specialist AI computer labs, with powerful graphics cards and machines, for artificial intelligence algorithms.
Have access to a vibrant community of like-minded individuals, including undergraduate students, post-graduate students and staff.