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MSc Data Science

  • DeadlineStudy Details:

    MSc Full-time 1 year, Part-time typically 2 years

Course Description

Our MSc conversion programme in Data Science offers an excellent solution for graduates from varying academic and professional backgrounds wanting to up skill for careers in data science, data analysis, data management or data stewardship.

Data has been called “the oil of the digital economy” (Wired) with importance to all organisations in all sectors and at every level. As such, wide-ranging opportunities exist for skilled graduates with expertise in data science.

Designed in collaboration with industry partners and supported by funding from the Office for Students (OfS), our new MSc Data Science conversion programme has a distinctive focus on problem-based learning and offers modules designed to support your career goals and aspirations. Programme content is focused not only on fundamental data science but also on design thinking and innovation, data governance, ethics and data analysis.

Entry Requirements

A 2:2 honours degree (or equivalent international qualification) in any discipline (except computer science).

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Fees

For fees and funding options, please visit website to find out more.

Programme Funding

There are lots of options available to you to fund your master’s programme, from alumni bursaries to school and department scholarships and government loans.

Student Destinations

The gathering, processing, interpretation and evaluation of data and information is vital in today’s world, and as our technological capacities expand so will the applications of data science. This MSc programme will equip you with the skills of a data scientist, enabling you to work in a wide variety of roles within a wide variety of industries.

Graduates of our postgraduate programmes have gone on to enjoy careers within a diverse range of organisations in a wide variety of roles, such as software development, network security, and systems engineering.

Recent graduate destinations have included:

  • NHS Digital
  • Computacentre
  • Capgemini
  • David Lloyd Clubs

Module Details

Semester 1

Compulsory Modules

  • Introduction to Data Science
  • Programming for Data Science
  • Data Governance & Ethics

Optional Modules (choose one)

  • Statistical Methods & Data Analysis
  • Building Data Driven Strategy

Semester 2

Compulsory Modules

  • Research Methods
  • Data Mining

Optional Modules (choose three)

  • Big Data Analytics and Visualisation
  • Applied Machine Learning
  • Stories as Data: Storytelling approaches for decision making

Summer

Compulsory Module

  • Data Science Project

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