DPT: Data Science, Technology and Innovation (ICL) (PgCert)

Jump to: Year 1, Year 2

Year 1 Academic year: 2024/25, Starting in: September

A total of 60 credits (the compulsory course worth 20 credits plus 40 credits from the Course Options) must be successfully taken to achieve PG Certificate. The compulsory course may be taken in either year 1 or 2 of the programme. The Course Options consist of courses from the list below

These courses are limited to students registered on the programme.
We recommend that students take no more than 60 credits in any one year.

There are no compulsory courses in this year of this programme.

Course options

By the end of year 2 at the latest, students must complete the compulsory course worth 20 credits (EPCD11005 Practical Introduction to Data Science). This course may be taken in either year 1 or 2 of the programme.

Leading Technology and Innovation in Organisations

Innovation-driven Entrepreneurship-Data Science, Technology and Innovation

Practical Introduction to High Performance Computing

Message-Passing Programming

Threaded Programming

Practical Introduction to Data Science

Software Development

Programming Skills

Data security and protection in health and social care

Data Ethics in Health and Social Care

Data Types and Structures in Python and R

Health Data Science Foundations

Introductory Applied Machine Learning

Natural Computing

Probability and Statistics

Neuroimaging: Common Image Processing Techniques 1

Neuroimaging: Image Analysis

Neuroimaging: Common Image Processing Techniques 2

Practical Image Analysis 1

Practical Image Analysis 2

Introduction to Python Programming for Data Science

Introduction to Bioinformatics

Data Science for Manufacturing (Bayes)

Earth Observation for Sustainable Development Goals

Understanding Data Visualisation

Data, Sport & Society

Understanding Planetary Health & Data: An Introduction to the Concepts and Themes

AND

Before requesting to take one of these courses, please ensure that the delivery mode is online.

Courses must be delivered online and agreed with the Programme Director, as well as the Course Organiser, prior to course enrolment. The number of additional online courses is limited. Please email the Programme Team at datascience@ed.ac.uk if you have found an outside course you are interested in taking.