Program Description

Data Science is a rapidly developing field of study within both academia and industry. Its interdisciplinary nature ensures its wide application domain. This MSc Data Science aims to prepare students for a successful career as a data scientist or business analyst working in any profession where large amounts of data is collected, hence there is a need for skills in data acquisition, information extraction, aggregation and representation, data analysis, knowledge extraction and explanation. These type of skills are typically in high demand in IT business, security and health sectors, intelligent transport, energy efficiency and the creative industries.The key message from employability and work-related learning initiatives is that enhancing opportunities to develop work-related learning and employability enhances the learning of the subject being studied. We understand the importance of including real industrial and commercial contexts to our student's experience, so this MSc Data Science will pursue opportunities for industrially linked teaching material and student project work. In this regard, we will utilise our business and industry links to facilitate an industrially relevant student project. Such projects create valuable experiences for the student, and additionally, they can also help to build new and ongoing collaborations with departments and companies, with the potential to tap into funding streams designed for industry-academic research and development.

Admission Requirements

Applicant for taught programs must hold the equivalent of a UK first degree (in computing, engineering or related discipline). We consider students who have good grades in the following: Bachelor Degree 55%- 60%.

IELTS Requirements

Listening	Reading	Writing	Speaking	Overall
5.5	5.5	5.5	5.5	6

Remarks:

IELTS Waiver for Indian Student:-A Minimum mark of 70% in English in the standard XII examinations in the Central Boards(CBSE/ICSE or the State boards of Maharashtra, West Bengal, Tamil Nadu and Karnataka). No time limit.