Taught course

Data Science

University of Aberdeen · School of Natural and Computing Sciences

Entry requirements

A 2:2 (lower second class) Honours degree or equivalent in any subject will be considered.

Months of entry


Course content

Over the last 5 years, there has been an enormous increase in demand for Data Scientists across almost every industry sector, from tech and finance to energy, retail, healthcare and cybersecurity.

As the volume, diversity and complexity of data being gathered continue to increase, the key challenge facing organisations today is how to make sense of data, and more importantly how to use data to inform business decisions.

To solve this problem, companies need data scientists who not only are highly skilled in a wide range of statistical and data analysis tools, but who can go far beyond classical statistics and machine learning to gain real insights from data. The MSc Data Science programme is specifically designed to address this challenge.

Unlike many other data science programmes, this MSc goes beyond statistics and big data, to use a Computational Thinking (CT) approach to data science, one that applies logical thinking, sequencing and algorithms to create solutions to problems across many disciplines and industries.

The multidisciplinary focus of the programme also means that it is open to qualified applicants from across a wide range of academic backgrounds, including science, technology, engineering and medicine (STEM), but also business and social sciences.

This programme has been designed in collaboration with industry partners, including Wolfram Research, to ensure that the algorithms, tools and workflows required by industry are covered. You will also gain proficiency in the use of Wolfram Mathematica programme.

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details