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Data Analytics for Government MSc

Different course options

Study mode

Part time

Duration

2 years

Start date

25-SEP-23

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Data Analysis

Course type

Taught

Course Summary

Overview

Combine computing, statistical and mathematical skills and deal with the challenges of our modern data-driven society with our MSc Data Analytics for Government.

With recent developments in digital technology, society has entered the era of 'big data'. The UK Government recognises big data as one of the eight great technologies. It has priorities for funding and research and will have a pivotal role in rebuilding and strengthening the economy.

We have structured this course in conjunction with the Office for National Statistics. Specifically for employees of all public sector bodies in the UK. You will develop skills in state-of-the-art methods and techniques related to data analytics. And you will cover cutting-edge areas in data analytics, including:

  • data science and big data models
  • advanced machine learning (with AI)
  • statistical programming
  • distributed systems (cloud, Hadoop, Spark)
  • data visualisation
  • statistics in government
  • time series.

Career prospects

This programme allows graduates to undertake a wide range of roles in data science. Common careers in this area are as:

  • data engineers
  • business analysts
  • data managers
  • machine learning practitioners
  • data scientists.

Modules

This module introduces core programming techniques in R essential for performing data manipulation, data processing and data analyses of traditional and alternative data sources through practical sessions.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£14,690

International fees
Course fees for EU and international students

To be confirmed

Entry requirements

This programme is restricted to employees of all public sector bodies in the UK. Please contact the University if you are unsure if this applies to you. You should normally hold a good (first or second class) degree in the physical or social sciences which has developed analytical knowledge and understanding in mathematical sciences. Typically this includes candidates with knowledge and familiarity with basic computing, mathematics and statistics concepts and methods at a degree level. Applicants with other qualifications plus work experience from other fields who have quantitative skills and familiarity with data analysis and modelling ideas, to be reflected in their application, will also be considered. These applications must be approved by the Programme Lead.

University information

Based in the historic student city of Oxford, Oxford Brookes is one of the UK’s leading modern universities. It enjoys an international reputation for teaching excellence, innovative approaches to learning, and strong links with business and industry. The university welcomes students from more than 140 countries around the world and is proud of its diverse, inclusive community. Oxford Brookes is known for great teaching and equipping students...more

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