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 23/24

Course Name

Dates

Practical Image Analysis 1 (10 credits) (NEME11054) 11 Sept 2023 - 18 Dec 2023
Practical Introduction to Data Science (20 credits) (INFD11010)

18 Sept 2023 - 18 May 2024

Health Data Science (10 credits) (HEIN11060) 18 Sept 2023 - 3 Dec 2023

Practical Introduction to High Performance Computing (20 credits) (INFD11009)

18 Sept 2023 -  18 May 2024
Managing Digital Influence (10 credits) (PGSP11391)

18 Sept 2023 - 20 Oct 2023

Data Science for Manufacturing (10 credits) (PGEE11234) 18 Sept 2023 - 24 Nov 2023
Natural Computing (10 credits) (INFD11007) 18 Sept 2023 - 18 Dec 2023
Programming Skills (10 credits) (INFD11016) 18 Sept 2023 -18 Dec 2023
Software Development (10 credits) (INFD11017) 18 Sept 2023 -18 Dec 2023
Leading Technology and Innovation in Organisations (10 credits) (CMSE11495)

18 Sept 2023 - 10 Nov 2023

Technologies of Civic Participation (10 credits) (PGSP11390) 23 Oct 2023 - 26 Nov 2023
Data Ethics in Health and Social Care (10 credits) (HEIN11059) 8 Jan 2024 - 9 Feb 2024
Health Data Science (10 credits) (HEIN11060) 8 Jan 2024 - 24 Mar 2024
Social Shaping of Digital Research (10 credits) (PGSP11389) 15 Jan 2024 - 16 Feb 2024
Probability and Statistics (10 credits) (MATH11204) 15 Jan 2024 - 9 Mar 2024
Informatics Project Proposal (10 credits) (INFD11014) 15 Jan 2024 - 14 Mar 2024
EPCC Project Proposal (10 credits) (INFD11027) 15 Jan 2024 - 14  Mar 2024
Data Science for Manufacturing (10 credits) (PGEE11234) 15 Jan 2024 - 22 Mar 2024
Introduction to Python Programming for Data Science (10 credits) (PGBI11123) 15 Jan 2024 - 23 Mar 2024
Neuroimaging: Common Image Processing Techniques 1 (20 credits) (NEME11006) 15 Jan 2024 - 27 Apr 2024
Neuroimaging: Common Image Processing Techniques 2 (10 credits) (NEME11037) 15 Jan 2024 - 27 Apr 2024
Introductory Applied Machine Learning (20 credits) (INFD11005)* 15 Jan 2024 - 23 May 2024
Innovation-driven Entrepreneurship  (10 credits) (CMSE11515) 15 Jan 2024 - 18 May 2024
Understanding Data Visualisation (20 credits) (PGSP11484)

15 Jan 2024 - 18 May 2024

Practical Image Analysis 2 (10 credits) (NEME11055) 15 Jan 2024 - 18 May 2024
Threaded Programming (10 credits) (INFD11012) 15 Jan 2024 - 18 May 2024
Message Passing Programming (10 credits) (INFD11011) 15 Jan 2024 - 18 May 2024
Neuroimaging: Image Analysis  (10 credits) (NEME11035) 15 Jan 2024 - 18 May 2024
Understanding Planetary Health & Data: An Introduction to the Concepts and Themes(10 credits) (VESC11243) 26 Feb 2024 - 29 Mar 2024
Data Types and Structures in Python and R (10 credits) (HEIN11068) 8 Apr 2024 - 10 May 2024
Health Data Science (10 credits) (HEIN11060) 8 Apr 2024 - 23 June 2024

Engaging with Digital Research (10 credits) (PGSP11401)

29 Apr 2024 - 31 May 2024

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

29 Apr 2024 - 5 Jul 2024
Data security and protection in health and social care (10 credits) (HEIN11047 20 May 2024 - 24 June 2024

The use and evolution of digital data analysis and collection tools (10 credits) (PGSP11388)

3 Jun 2024 - 5 Jul 2024

Each 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)
  • Edinburgh Parallel Computing Centre Dissertation Project (INFD11013)

  • 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