City, University of London
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.
Core modules: Principles of data science (15 credits); Machine learning (15 credits); Big Data (15 credits); Neural computing (15 credits); Visual analytics (15 credits); and Research methods and professional issues (15 credits). Elective modules: Advanced programming: concurrency (15 credits); Readings in computer science (15 credits); Advanced databases (15 credits); Information retrieval (15 credits); Data visualisation (15 credits); Digital signal processing and audio programming (15 credits); Cloud computing (15 credits); Computer vision (15 credits); and Software agents (15 credits). Individual Project (60 credits). MATLAB training.
We expect you to study independently and complete coursework for each module. This should amount to approximately 120 hours per module if you are studying full time. Each module is assessed through a combination of written examination and coursework, where you will need to answer theoretical and practical questions to demonstrate that you can analyse and apply data science methods and techniques. The individual project is a substantial task. It is your opportunity to develop a research-related topic under the supervision of an academic member of staff. This is the moment when you can apply what you have learnt to solve a real-world problem using large datasets from industry, academia or government and use your knowledge of collecting and processing real data, designing and implementing big data methods and applying and evaluating data analysis, visualisation and prediction techniques. At the end of the project you submit a substantial MSc project report, which becomes the mode of assessment for this part of the programme.
|Qualification||Study mode||Start month||Fee||Course duration|
|MSc||Full-time||September 2018||GBP 16,500 per Whole course (International)||12 Months|
|MSc||Full-time||September 2018||GBP 9,000 per Whole course (Home/EU)||12 Months|
|MSc||Part-time||September 2018||GBP 8,250 per Year 1 (International)||28 Months|
|MSc||Part-time||September 2018||GBP 4,500 per Year 1 (Home/EU)||28 Months|
|Campus name||Town||Postcode||Region||Main campus||Campus||Partner|
|Northampton Square||EC1V 0HB||London|
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