City University London

Course Introduction

The course will equip you with the skills and knowledge to address the Big Data challenge in areas such as health, business, security, intelligent transport, energy efficiency, online education, retail and the creative industries, drawing upon our world'leading expertise in the areas of machine learning, visual analytics, high'performance computing, and information retrieval.

Course Modules

Core modules: principles of data science; machine learning; big data; neural computing; visual analytics; research methods and professional issues. Electives: advanced programming: concurrency; advanced database technologies; information retrieval; data visualization; digital signal processing; cloud computing; computer vision; software agents.

Course Additional Entry

Applicants will have a UK 1st class or an upper 2nd class Honours degree (or equivalent) in computing, engineering, physics or mathematics. Or a UK 1st class or an upper 2nd class Honours degree (or equivalent) in business, economics, psychology or health, with a demonstrable mathematical aptitude. Or a UK lower second class Honours degree (or equivalent) with a demonstrable mathematical aptitude or relevant work experience. For those students whose first language is not English, one of the following qualifications is also required: IELTS: 6.5 (minimum of 6.0 in all four components); TOEFL (internet based): 90.

Duration & Attendance Qualification Tuition fees
1 year
Full Time
MSc (Postgraduate) £15,000  Academic year. First year overseas fees
1 year
Full Time
MSc (Postgraduate) £9,000  Academic year. First year home fees
2 years
Part Time
MSc (Postgraduate) £7,500  Academic year. First year overseas fees
2 years
Part Time
MSc (Postgraduate) £4,500  Academic year. First year home fees