This programme is designed to enable graduates from a wide range of academic backgrounds to take advantage of the growing demand for data scientists across almost every industry sector today including finance, health, government, retail and manufacturing.
This programme is also available to study online.
- Learning Mode
- On Campus Learning or Online Learning
- Degree Qualification
- 12 months, 15 months or 27 months
- Study Mode
- Full Time or Part Time
- Start Month
- September or January
- Location of Study
Recent advances in data science, such as big data, predictive analytics, and AI technologies including ChatGPT and Bard AI are revolutionising the way organisations automate their processes, predict future trends, and engage with customers. However, 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 are not only highly skilled in a wide range of statistical and data analysis tools but who can go beyond statistics to gain real insights from data.
The MSc Data Science programme is specifically designed to address this challenge. We go beyond classical statistics and data analysis to teach you how to apply logical thinking, machine learning and computer algorithms to come up with solutions to problems faced across many academic disciplines and industry sectors.
The multidisciplinary and multisector focus of the MSc Data Science also means we welcome applications from a wide range of academic or professional backgrounds, including science, technology, engineering and medicine as well as the humanities, 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 the industry are covered. You will gain proficiency in the use of Wolfram Mathematica and learn the programming fundamentals that underpin languages such as Python and R.
By the end of this programme, you will have developed the mathematical, computational and communication skills needed to produce meaningful insights that organisations can use to improve their performance.
Available Programmes of Study
Data ScienceQualification Duration Learning Mode Study Mode Start Month LocationMSc 12 months On Campus Learning Full Time September Aberdeen MoreMSc 15 months On Campus Learning Full Time January Aberdeen MoreMSc 12 months or 27 months Online Learning Full Time or Part Time January MoreMSc 12 months or 27 months Online Learning Full Time or Part Time September More
We will endeavour to make all course options available; however, these may be subject to timetabling and other constraints. Please see our InfoHub pages for further information.
Additional Fee Information
- Fees for individual programmes can be viewed in the Programmes section above.
- In exceptional circumstances there may be additional fees associated with specialist courses, for example field trips. Any additional fees for a course can be found in our Catalogue of Courses.
- For more information about tuition fees for this programme, including payment plans and our refund policy, please visit our InfoHub Tuition Fees page.
Shell U.K. Limited is offering up to 5 scholarships for students commencing a Master's programme aligned to the Centre for Energy Transition commencing in the 2023/24 academic year. Find out more.
Eligible self-funded international Masters students will receive the Aberdeen Global Scholarship. Visit our Funding Database to find out more and see our full range of scholarships.
How You'll Study
- Individual Projects
Why Study Data Science?
- This programme equips you with the essential data analysis and computational thinking skills needed to extract knowledge and insights from data.
- Aimed at students from a wide range of academic backgrounds, including science, technology, engineering and medicine (STEM) but also business, arts and the humanities.
- Designed in collaboration with industry partners, including Wolfram Research, which means the algorithms, tools and workflows required by industry are extensively covered.
- The overall objective of this programme is to create experts who can combine their mathematical modelling and programming skills with an ability to work effectively in multidisciplinary teams to extract knowledge and insights from data.
- There has been a huge increase in demand for data specialists across almost every industry, from energy and manufacturing to healthcare and cybercrime. This recent LinkedIn Jobs on the Rise report listed Data Engineer as one of the fastest-growing jobs in the UK.
- The University of Aberdeen has a strong history and worldwide reputation in computing science, in particular around Data Science, Natural Language Generation and Artificial Intelligence and is home to the research success of ARRIA NLG - the global leader in the field of natural language generation (NLG).
- From agriculture and archaeology to medicine and geosciences, our researchers are utilising data and AI across many fields to further research and improve lives. Browse the project summaries in our Interdisciplinary Research Project Database to find out more about the critical role data and artificial intelligence have to play in advances spanning many disciplines.
The information below is provided as a guide only and does not guarantee entry to the University of Aberdeen.
2:2 (lower second class) Honours degree or equivalent in any subject will be considered.
‘Academic Technology Approval Scheme (ATAS) certificate
The CAH3 code for this degree is CAH07-01-01. Students who need a visa to live or study in the UK must to apply for ATAS clearance. The ATAS clearance certificate must be valid when you apply for a visa to enter the UK. To find out if you need to apply for ATAS clearance, please visit https://www.gov.uk/guidance/academic-technology-approval-scheme
Please enter your country to view country-specific entry requirements.
English Language Requirements
To study for a Postgraduate Taught degree at the University of Aberdeen it is essential that you can speak, understand, read, and write English fluently. The minimum requirements for this degree are as follows:
OVERALL - 6.5 with: Listening - 5.5; Reading - 5.5; Speaking - 5.5; Writing - 6.0
OVERALL - 90 with: Listening - 17; Reading - 18; Speaking - 20; Writing - 21
OVERALL - 62 with: Listening - 59; Reading - 59; Speaking - 59; Writing - 59
Cambridge English B2 First, C1 Advanced, C2 Proficiency:
OVERALL - 176 with: Listening - 162; Reading - 162; Speaking - 162; Writing - 169
You will be required to supply the following documentation with your application as proof you meet the entry requirements of this degree programme. If you have not yet completed your current programme of study, then you can still apply and you can provide your Degree Certificate at a later date.
- an up-to-date CV/Resumé
- Degree Certificate
- a degree certificate showing your qualifications
- Degree Transcript
- a full transcript showing all the subjects you studied and the marks you have achieved in your degree(s) (original & official English translation)
- Personal Statement
- a detailed personal statement explaining your motivation for this particular programme
The overall objective of this programme is to create experts who can combine their mathematical modelling and programming skills with an ability to work effectively in multidisciplinary teams to extract knowledge and insights from data.
According to Prospects.ac.uk, entry-level salaries for Data Scientists range from £19,000 to £25,000. With a few years' experience you could expect to earn £30,000 to £50,000, while experienced, high-level, data scientists or contractors can earn upwards of £60,000, in some cases reaching more than £100,000.
Graduates of this programme will be well placed to pursue careers such as:
- Business Intelligence Analyst
- Data Architect
- Data Mining Engineer
- Data Scientist
This recent LinkedIn Jobs on the Rise report listed Data Engineer as one of the fastest-growing jobs in the UK.
- Programme Leader
- Professor Marco Thiel, The University of Aberdeen
Information About Staff Changes
You will be taught by a range of experts including professors, lecturers, teaching fellows and postgraduate tutors. Staff changes will occur from time to time; please see our InfoHub pages for further information.
Get in Touch
Student Recruitment & Admissions
University of Aberdeen