Master big data methodologies and find the valuable trends and patterns buried in complex datasets using machine learning. On our MSc Data Analytics course, you'll learn how to use data mining tools, machine learning methods and big data concepts as you unlock specialist knowledge of professional analysis methods.
You'll apply your theoretical learning to handling real data, analysing large data sets drawn from professional partners, such as IBM, or from live University research into cosmology, health informatics and cybersecurity and robotics.
You'll plan, design and produce an in-depth research project, using analytics packages like Hadoop, Python, KNIME, PostgreSQL and Tableau. We'll provide the expertise and support so you can develop your dissertation and shape your professional practice. And once you graduate, you'll have a skillset that'll get you noticed – and all the tools you need to progress your career in data analytics or deep learning.
A first or an upper second-class honours degree in a relevant subject or a degree with relevant experience, or equivalent professional experience and/or qualifications.
20 Hours of Work permit weekly for international students.
The IELTS score for international applicants is 6.0 (with no less than 6.0 in each component).
Data Analytics
Guildhall Campus
Postgraduate
Full-Time, 1 year, Part-time, 2 years
September, January
8500,
19200, (INT)
Brighton
7.0
Postgraduate
£ 18975
Lancaster
6.0
Postgraduate
16900
Canterbury, England
6.0
Postgraduate
Home full-time/part-time: TBC, EU/International full-time: £18000, EU/International part-time: £9000