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Data Science and Analytics MSc

Key information

Qualification type

MSc - Master of Science

Subject areas

Data Analysis Informatics

Course type


Course Summary

The IT systems and devices are constantly creating data and the amount of data created and stored grows exponentially. Data, and in particular patterns and trends within data, have the ability to inform and provide valuable insights, that help us predict and diagnose specific outcomes. Whilst the amount of data grows, the science of gaining insights from this data grows with it. Industry, research institutions and government all seek to extract value from data to improve products and services, serve their customers better and run more operationally efficient organisations. Data Scientists use their mathematical, computational and presentational skills to mine data for value and their skills are highly sort after. There is a significant shortage of skilled Data Scientists and so there are many job opportunities available. Our approach to supporting your learning, and how the learning is assessed, is designed to mirror the workplace environment. With this in mind, key features of our approach to learning and assessment include the following: We place a lot of emphasis on course work related activity; Opportunities to work with organisations on current commercial/business problems and projects. These experiences are used to provide the basis for assessments that enable you to apply your learning within authentic commercial situations. The course has been designed to provide you with a very practical understanding of the issues associated with sourcing, curating, analysing and presenting data in business and other public sector and not-for-profit organisations. On completion of your MSc studies and successful graduation, you will have very transferable skills and can choose to move directly in to the workplace perhaps in retail, banking, government or transport.

Different course options

Full time | University of Chichester | 1 year | SEP

Study mode

Full time


1 year

Start date



Data Science Foundation (20 Credits)
Managing Data (20 Credits)
Data Exploration and Analysis (20 Credits)
Mathematics (20 Credits)
Machine Learning & Cognitive Computing (20 Credits)
Data Visualisation and Presentation (20 Credits)
Dissertation/Project (60 Credits)

Tuition fees

UK fees
Course fees for UK / EU students

Alumni Discount 15%

Average for all Postgrad courses (per year)


International fees
Course fees for non-UK / EU students

For this course (per year)


Average for all Postgrad courses (per year)


Entry requirements

Students need to have a 2:2 in an appropriate course with a B grade in Maths at A level or equivalent

University information

The University of Chichester has two campuses: one in the centre of Chichester, a charming and historic town, and the other close to the sea in Bognor Regis. This year the University celebrates its 180th year of teaching and research excellence. As a silver-rated institution by the Teaching Excellence Framework (TEF), the University is recognized as delivering high quality teaching and learning for students. They actively embrace the unique...more