Data Science, Technology and Innovation

Schedule of courses

Details of course timings listed by start date.

Clicking on any of the course codes below will bring you to the University of Edinburgh Course Catalogue for each course with additional information. 

Please note that for further information on assessments you should always use the Course Catalogue as your first point of reference.

Courses are reviewed yearly and may not run in each Academic Year. The University's Degree Programme Table (DPT) is updated each Academic Year for the programme.

Course dates for Academic Year 24/25

Course Name

Dates

Practical Image Analysis 1 (10 credits) (NEME11054) 9 Sep 2024 - 13 Dec 2024
Practical Introduction to Data Science (20 credits) (EPCD11005)

16 Sep 2024 - 16 May 2025

Practical Introduction to High Performance Computing (20 credits) (EPCD11001) 16 Sept 2024 -  16 May 2025
Health Data Science (10 credits) (HEIN11060) TBC
Foundations of research design for health and social care (10 credits) (HEIN11089) 16 Sep 2024 - 18 Oct 2024
Leading Technology and Innovation in Organisations (10 credits) (CMSE11495) 16 Sep 2024 - 8 Nov 2024
Data Science for Manufacturing (10 credits) (PGEE11234) 16 Sept 2024 - 22 Nov 2024
Natural Computing (10 credits) (INFD11007) 16 Sept 2024 - 13 Dec 2024
Programming Skills (10 credits) (EPCD11018) 16 Sep 2024 - 13 Dec 2024
Software Development (10 credits) (EPCD11017) 16 Sep 2024 - 13 Dec 2024
Data Ethics in Health and Social Care (10 credits) (HEIN11059) 6 Jan 2025 - 7 Feb 2025
Health Data Science (10 credits) (HEIN11060) TBC
Social Shaping of Digital Research (10 credits) (PGSP11389) 13 Jan 2025 - 14 Feb 2025
Probability and Statistics (10 credits) (MATH11204) 13 Jan 2025 - 7 Mar 2025
Informatics Project Proposal (10 credits) (INFD11014) 13 Jan 2025 - 14 Mar 2025
EPCC Project Proposal (10 credits) (EPCD11014) 13 Jan 2025 - 14  Mar 2025
Data Science for Manufacturing (10 credits) (PGEE11234) 13 Jan 2025 - 20 Mar 2025
Data, Sport and Society (20 credits) (STIS11002) 13 Jan 2025 - 29 Mar 2025
Understanding Data Visualisation (20 credits) (PGSP11484) 13 Jan 2025 - 29 Mar 2025
Introduction to Python Programming for Data Science (10 credits) (PGBI11123) 13 Jan 2025 - 4 Apr 2025 
Introduction to Bioinformatics (PGBI11137) 13 Jan 2025 - 4 Apr 2025 
Neuroimaging: Common Image Processing Techniques 1 (20 credits) (NEME11006) 13 Jan 2025 - 25 Apr 2025
Neuroimaging: Common Image Processing Techniques 2 (10 credits) (NEME11037) 13 Jan 2025 - 25 Apr 2025
Introductory Applied Machine Learning (20 credits) (INFD11005) 13 Jan 2025 - 23 May 2025
Innovation-driven Entrepreneurship  (10 credits) (CMSE11515) 13 Jan 2025 - 16 May 2025
Practical Image Analysis 2 (10 credits) (NEME11055) 13 Jan 2025 - 16 May 2025
Threaded Programming (10 credits) (EPCD11003) 13 Jan 2025 - 16 May 2025
Message-Passing Programming (10 credits) (EPCD11002) 13 Jan 2025 - 16 May 2025
Neuroimaging: Image Analysis  (10 credits) (NEME11035) 13 Jan 2025 - 16 May 2025
Understanding Planetary Health & Data: An Introduction to the Concepts and Themes(10 credits) (VESC11243) 24 Feb 2025 - 28 Mar 2025
Data Types and Structures in Python and R (10 credits) (HEIN11068) 19 May 2025 - 20 Jun 2025
Health Data Science (10 credits) (HEIN11060) TBC

Earth Observation for Sustainable Development Goals (10 credits) (PGGE08001)

7 Apr 2025 - 13 Jun 2025

Applied research design in data science for health and social care (10 credits) (HEIN11090)

19 May 2025 - 20 Jun 2025
Data security and protection in health and social care (10 credits) (HEIN11047 19 May 2025 - 20 Jun 2025

The majority of the above courses can be taken in isolation as Postgraduate Professional Development (PPD). The PPD option also permits students to build up credits to gain an award over a longer period (up to 2 years). Assessments 

Dissertation Projects (MSc students only)

Students must also complete a project (worth 60 credits) in the form of a written dissertation. This activity will allow students to draw from the combined experience of previous activities and interactions, and apply what they have learnt to a practical research question. The final submission will be expected to be at a level appropriate for an independent researcher and be a good indication of a student’s potential to go on to be a productive researcher in a relevant sub-discipline of Data Science.  (Only available to students enrolled on the MSc programme.)

  • Deanery of Clinical Sciences: Imaging: Practical Work and Assessment (NEME11033)
  • EPCC Dissertation Project (EPCD11019)

  • School of Informatics Dissertation Project (INFD11003)

  • School of Social and Political Science (PGSP11499)

  • Deanery of Molecular, Genetic and Population Sciences Dissertation Project (HEIN11053)

Additional Relevant Links:

Programme Structure

Assessment Regulations

How to apply