On Campus

Across the University, we offer a range of full-time and part-time on campus programmes at MSc and PhD level related to data science.

Business School

MSc in Business Analytics

Given the ever-increasing volume of data that businesses have access to today, there is a demand for employees who have computational and analytical skills and who can inform business decisions to increase efficiency. Our Masters in Business Analytics has been developed with just that in mind and our aim is to teach students how to apply descriptive, predictive, and prescriptive analytics of big data concepts and techniques to generate valuable insight that can assist with decision making.

Full details of this masters degree can be found on the Business School website.

MSc in Finance, Technology and Policy

The operation of financial markets and the delivery of financial services impact a variety of real-world issues including job creation and credit approval. The Business School's vocationally minded new Fintech MSc addresses the knowledge gap created by the pace of technological transformation in financial services and markets.

Find out more about this masters programme via the Business School website.


Edinburgh Medical School

PhD in Precision Medicine

This MRC Doctoral Training Programme (DTP) in Precision Medicine is a collaboration between the University of Edinburgh (UoE) and the University of Glasgow (UoG). Students will study a PhD with an integrated suite of bespoke taught courses from UoE and UoG over 3.5–4 years, dependent on previous qualifications. Our collaborative DTP will provide state-of-the-art training in informatics, data analytics, genetics, genomics, epidemiology, clinical populations, clinical tissue and 'liquid biopsy' interrogation and molecular pathology. Students will have access to vast data assets emerging from the infrastructure and facilities within the world-leading training environments provided by the three partners: UoE, UoG and the Karolinska Institutet.

Students will learn to develop quantitative research creativity for use in their future careers in fast-moving disciplines, as biomedical science embraces new data-rich opportunities.

Further details are available on the programme's web pages.


MSc in High Performance Computing with Data Science

EPCC at the University of Edinburgh offers two MSc degree programmes: the MSc in High Performance Computing and the MSc in High Performance Computing with Data Science. Both programmes offer flexibility with a rich choice of units and excellent job prospects on graduation.

Full details related to these taught MSc programmes are available on the EPCC website.


School of GeoSciences

MSc in Geographical Information Science

Edinburgh has a well-established reputation in Geographical Information Science (GIS) and has been offering an MSc programme in GIS since 1985. This programme examines the storage, manipulation and visualisation of geospatial data, unique in its variety of data structures and breadth of application. Traditional approaches based on maps and coordinate systems have been augmented by techniques such as spatial analysis in two, three and four dimensions, network modelling, routing, database management, data mining, web-mapping and app development, involving large volumes of data coming from diverse sources such as satellites, smartphones, electronic point of sale, web services and lidar ground survey. The programme involves field-work and includes the potential for work-based dissertations.

Careers in this rapidly-growing, multi-billion-dollar sector extend from software engineering through information management, to applications as diverse as building management, citizen science, environmental protection, flooding, land ownership, natural hazards, oil and gas, urban planning, refugee management, security and policing, telecommunications, and vehicle and personal navigation.

Further information is available on the programme web pages.

MSc in Earth Observation & Geoinformation Management

The MSc in Earth Observation & Geoinformation Management brings together skills in remote sensing with spatial data handling and GIS within the School of GeoSciences in Edinburgh. Remote sensing involves the collection of immense volumes of data using sensors carried by satellites, aeroplanes, UAVs (drones) and ground-based systems. The programme examines platforms, sensors, image processing, data management, spatial analysis and visualisation. It involves field-work and leads to employment in the rapidly-growing geospatial and earth observation sectors. Applications include archaeology, climate-change research, disaster relief, ecosystem services, environmental monitoring and management, forestry, marine science, mineral prospecting and precision agriculture.

Further information is available on the programme web pages.


School of Informatics

MSc in Data Science

The School of Informatics' MSc in Data Science is designed for students who want to establish a career as a data scientist in industry or the public sector, as well as students who want to explore the area prior to further training such as in our Centre for Doctoral Training (CDT) in Data Science. Data science is the study of the computational principles, methods and systems for extracting and structuring knowledge from data; and the application and use of those principles. Large data sets are now generated by almost every activity in science, society and commerce – ranging from molecular biology to social media, from sustainable energy to health care.

Full details about this programme are available from the School of Informatics.


PhD in the Centre for Doctoral Training in Data Science

The Centre for Doctoral Training (CDT) in Data Science (funded by EPSRC) within the School of Informatics provides specialised training in a four-year PhD (MSc by Research + PhD). Students perform independent research to develop new techniques and applications in areas such as machine learning, databases, statistics, algorithms, natural language processing, computer vision, and speech processing. The programme structure is a mix of advanced coursework in the first year and independent research in years 2–4. Successful applicants to the programme typically have advanced computational or mathematical background, such as would be provided by an undergraduate or masters degree in mathematics, computer science, engineering or physics. The programme is designed to prepare students for careers in advance research and development of novel data science methodologies in industry and academia.

Full details about this programme are available from the School of Informatics.


PhD in the Centre for Doctoral Training in Robotics and Autonomous Systems

The Edinburgh Centre for Robotics runs the EPSRC Centre for Doctoral Training in Robotics and Autonomous Systems. Its goal is to train innovation-ready robotics researchers to be part of a multi-disciplinary enterprise, requiring sound knowledge of physics (kinematics, dynamics), engineering (control, signal processing, mechanical design), computer science (algorithms for perception, planning, decision making and intelligent behaviour, software engineering), as well as allied areas ranging from biology and biomechanics to cognitive psychology.

Participants specialise in one of these areas, gaining a deep understanding of technical aspects and theoretical foundations. Participants also receive broad training across these fields to enable them to engage meaningfully with a wide cross-section of the robotics community.

Find out more from Edinburgh Robotics.

School of Mathematics

MSc Statistics with Data Science | MSc in Operational Research with Data Science | MSc in Statistics and Operational Research

The School of Mathematics has several MSc programmes relating to data science: Statistics with Data Science; Operational Research (OR) with Data Science; and Statistics and Operational Research. Each programme has its own distinctive focus but with the common aims of developing the analytical, computational and modelling skills of students within a rigorous mathematical/statistical framework. 

The MSc Statistics/OR with Data Science provides a strong foundation in the basic discipline of Statistics or OR with additional breadth in mathematical sciences and computing; while the MSc Statistics and OR provides a core focus on the natural combination of analytical skills. In addition to the academic content, there is also an emphasis on the interpersonal and communication skills which are key for a future career in industry (for example consulting, banking, finance, telecommunications, government organisations) and further studies and research.

Students come from diverse backgrounds such as mathematics, statistics, physics, computer science, engineering economics, business and other quantitative disciplines.

Full details are available on the School of Mathematics web pages.

PhD in the Maxwell Institute Graduate School in Analysis and its Applications

The Maxwell Institute Graduate School in Analysis and its Applications (MIGSAA) offers an integrated PhD programme covering all aspects of mathematical analysis and its applications. It is particularly relevant to students interested in approaches to problems of data science using techniques of mathematical analysis which search for and elicit hidden structure in large sets via either deterministic or probabilistic means. The programme is a fully-funded four-year integrated PhD, jointly administered with Heriot-Watt University, and leads to a jointly awarded degree upon completion. Successful graduates will be expecting to continue a career in academic research or to engage in a career in areas of the information technology industry where mathematicians are in high demand.

Students with a good honours degree (or expecting to obtain such) or masters degree in the mathematical sciences, and with an interest in this exciting area are strongly encouraged to apply.

Further information is available from the Maxwell Institute.

Additional Training

PhD Programmes

If you are interested in studying a PhD related to data science, there are a wide range of programmes available within the University of Edinburgh. The Postgraduate Research Programmes webpage contains additional information.

The Data Lab – Industrial Doctorates

The Data Lab co-funds industrial doctorate programmes at Scottish universities, in collaboration with Scottish industry or public sector organisations. These industrial doctorates are designed to support the development of data science talent at a PhD / EngD level, while facilitating collaboration between industry and academia through applied research projects.

Visit the Data Lab's website for more information. 

The Data Lab – MSc

The Data Lab MSc is a collaborative programme between The Data Lab and 11 Scottish universities. It facilitates industry involvement and collaboration, and provides full funding and resources for students.

Further information is available from the Data Lab.

Undergraduate Training

Undergraduate programmes with links to data science are available throughout many subject areas within the University of Edinburgh. For the full list of undergraduate degrees visit the University website's undergraduate section