City, University of London

Course Introduction

This programme is for students who have a numerate first degree or can demonstrate numerate skills. Students are often at the early stages of their careers in diverse professions including economics, statistics and computer science. Students will have a curiosity about data, and will want to learn new techniques to boost their career and be part of exciting current industry developments. The MSc in Data Science includes some complex programming tasks because of the applied nature of the course, so many students have a mathematics or statistics background and enjoy working with algorithms.

This programme covers the intersection of computer science and statistics, machine learning and practical applications. We explore areas such as visualisation because we believe that data science is about generating insight into data as well as its communication in practice. The programme focuses on machine learning as the most exciting technology for data and we have learned from our own graduates that this is of high value when it comes to employment within the field. At City, we have excellent expertise in machine learning and the facilities students need to learn the technical aspects of data analysis.

From health to retail, and from the IT industry to government, the Data Science MSc will prepare you for a successful career as a data scientist. You will graduate with specialist skills in data acquisition, information extraction, aggregation and representation, data analysis, knowledge extraction and explanation, which are in high demand. City's unique internships, our emphasis on machine learning and visual analytics, together with our links with the industry and Tech City, should help you gain employment as a specialist in data analysis and visualization. Graduates starting a new business can benefit from City's London City Incubator and City's links with Tech City, providing support for start-up businesses.

MSc Data Science students can participate in our professional internships programme, which is supported by the Professional Liaison Unit. This will enable you to undertake your MSc project in an industrial or research internship over an extended period compared to regular projects. During this course students will also achieve PgCert and PgDip awards.

Start Date:

Full-time duration: 12 months (15 months with option of three month internship).

Duration & Attendance Qualification Tuition fees Fee type
2 years
Full Time
MSc £9,750 Home Fees
2 years
Full Time
MSc £9,750 European Fees
2 years
Full Time
MSc £17,500 Overseas Fees
2 years
Part Time
MSc £4,875 Home Fees
2 years
Part Time
MSc £4,875 European Fees
2 years
Part Time
MSc £8,750 Overseas Fees

Qualifications required:

  • Domestic entry requirements: Applicants should hold an upper second-class honours degree or the equivalent from an international institution in computing, engineering, physics or mathematics, or in business, economics, psychology or health, with a demonstrable mathematical aptitude and basic programming experience, or a lower second-class honours degree (or international equivalent) with a demonstrable mathematical aptitude and relevant work experience.
  • International entry requirements: Students whose first language is not English, the following qualification is required: IELTS: 6.5 (minimum of 6.0 in all four components).