Masters | Postgraduate Course - Data Science and Analytics MSc Course Details within University of Chichester

University of Chichester
Tel:+44 1243 816000
Email:help@chi.ac.uk
Course Fees
Full Fee: £8,160
Start Month(s)
September
Contact Name
Kamaran Fathulla
K.Fathulla@chi.ac.uk%20
Tel
01243 816000
Data Science and Analytics MSc

Study Details

MSc 1 year full-time or 2 years part-time

Our 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.

Module details

INDICATIVE MODULES

  • 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)

Entry Requirements

A 2:2 or higher in an appropriate course with a B grade in Maths at A level or equivalent.

Student Destinations

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.