THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2018/2019
- ARCHIVE as at 1 September 2018
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Degree Programme Table: Data Science, Technology and Innovation (Online Learning) (ICL) (PgDip) Part-time Intermittent (PTPGDDSTIN1U)

Jump to: Year 1, Year 2, Year 3, Year 4

Year 1 Academic year: 2018/19, Starting in: September

Notes:
A total of 120 credits (the compulsory course worth 20 credits plus 100 credits from the Course Options) must be successfully taken to achieve the PG Diploma. The compulsory course may be taken in either year 1, 2, 3 or 4 of the programme. The Course Options consist of courses in Data Science and Health Care and Medical Informatics.

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

With Programme Director approval, students may take up to 20 online learning credits offered within the University of Edinburgh from a related subject area over the course of the programme.

Compulsory courses

You must take these courses
Practical Introduction to Data Science
INFR11183 20 credits

Course options

Group A

Select exactly 100 credits in this group.

Courses from School(s) V - Data Science Courses

Select between 0 and 100 credits of the following courses
Notes:
These are courses in Data Science.

Over the duration of the programme, students should select between 0 and 100 credits of courses from either the Data Science and/or Health Care and Medical Informatics courses. These credits must be completed by the end of Year 4.

We recommend that students take no more than 60 credits in any one year.
Introduction to Java Programming
INFR09050 10 credits
Advanced Vision
INFR11151 10 credits
Introductory Applied Machine Learning
INFR11152 20 credits
Introduction to Vision and Robotics
INFR11153 10 credits
Image and Vision Computing
INFR11155 10 credits
Natural Computing
INFR11165 10 credits
Practical Introduction to High Performance Computing
INFR11184 20 credits
The use and evolution of digital data analysis and collection tools
PGSP11388 10 credits
Technologies of Civic Participation
PGSP11390 10 credits
Managing Digital Influence
PGSP11391 10 credits
Engaging with Digitial Research
PGSP11401 10 credits
Understanding Data Visualisation
PGSP11484 20 credits
AND

Courses from School(s) V - Health Care and Medical Informatics Courses

Select between 0 and 100 credits of the following courses
Notes:
These are courses in Health Care and Medical Informatics.

Over the duration of the programme, students should select between 0 and 100 credits of courses from either the Data Science and/or Health Care and Medical Informatics courses. These credits must be completed by the end of Year 4.

We recommend that students take no more than 60 credits in any one year.
Telemedicine and Telehealth
GLHE11005 10 credits
Ethics and Governance of eHealth
GLHE11036 10 credits
Public Health Informatics
GLHE11037 10 credits
User-Centred Design in eHealth
GLHE11038 10 credits
Research and Evaluation in eHealth
GLHE11039 10 credits
Health Informatics: core technologies and systems
GLHE11060 10 credits
Introduction to Health Informatics and eHealth
GLHE11066 10 credits
Medical Informatics
MCLM11037 10 credits
Neuroimaging: Common Image Processing Techniques 1
NEME11006 20 credits
Neuroimaging: Common Image Processing Techniques 2
NEME11037 10 credits
Practical Image Analysis 1
NEME11054 10 credits
Practical Image Analysis 2
NEME11055 10 credits

Year 2 Academic year: 2018/19, Starting in: September

Notes:
A total of 120 credits (the compulsory course worth 20 credits plus 100 credits from the Course Options) must be successfully taken to achieve the PG Diploma. The compulsory course may be taken in either year 1, 2, 3 or 4 of the programme. The Course Options consist of courses in Data Science and Health Care and Medical Informatics.

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

With Programme Director approval, students may take up to 20 online learning credits offered within the University of Edinburgh from a related subject area over the course of the programme.

Compulsory courses

You must take these courses
Practical Introduction to Data Science
INFR11183 20 credits

Course options

Group A

Select exactly 100 credits in this group.

Courses from School(s) V - Data Science Courses

Select between 0 and 100 credits of the following courses
Notes:
These are courses in Data Science.

Over the duration of the programme, students should select between 0 and 100 credits of courses from either the Data Science and/or Health Care and Medical Informatics courses. These credits must be completed by the end of Year 4.

We recommend that students take no more than 60 credits in any one year.
Introduction to Java Programming
INFR09050 10 credits
Advanced Vision
INFR11151 10 credits
Introductory Applied Machine Learning
INFR11152 20 credits
Introduction to Vision and Robotics
INFR11153 10 credits
Image and Vision Computing
INFR11155 10 credits
Natural Computing
INFR11165 10 credits
Practical Introduction to High Performance Computing
INFR11184 20 credits
The use and evolution of digital data analysis and collection tools
PGSP11388 10 credits
Technologies of Civic Participation
PGSP11390 10 credits
Managing Digital Influence
PGSP11391 10 credits
Engaging with Digitial Research
PGSP11401 10 credits
Understanding Data Visualisation
PGSP11484 20 credits
AND

Courses from School(s) V - Health Care and Medical Informatics Courses

Select between 0 and 100 credits of the following courses
Notes:
These are courses in Health Care and Medical Informatics.

Over the duration of the programme, students should select between 0 and 100 credits of courses from either the Data Science and/or Health Care and Medical Informatics courses. These credits must be completed by the end of Year 4.

We recommend that students take no more than 60 credits in any one year.
Telemedicine and Telehealth
GLHE11005 10 credits
Ethics and Governance of eHealth
GLHE11036 10 credits
Public Health Informatics
GLHE11037 10 credits
User-Centred Design in eHealth
GLHE11038 10 credits
Research and Evaluation in eHealth
GLHE11039 10 credits
Health Informatics: core technologies and systems
GLHE11060 10 credits
Introduction to Health Informatics and eHealth
GLHE11066 10 credits
Medical Informatics
MCLM11037 10 credits
Neuroimaging: Common Image Processing Techniques 1
NEME11006 20 credits
Neuroimaging: Common Image Processing Techniques 2
NEME11037 10 credits
Practical Image Analysis 1
NEME11054 10 credits
Practical Image Analysis 2
NEME11055 10 credits

Year 3 Academic year: 2018/19, Starting in: September

Notes:
A total of 120 credits (the compulsory course worth 20 credits plus 100 credits from the Course Options) must be successfully taken to achieve the PG Diploma. The compulsory course may be taken in either year 1, 2, 3 or 4 of the programme. The Course Options consist of courses in Data Science and Health Care and Medical Informatics.

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

With Programme Director approval, students may take up to 20 online learning credits offered within the University of Edinburgh from a related subject area over the course of the programme.

Compulsory courses

You must take these courses
Practical Introduction to Data Science
INFR11183 20 credits

Course options

Group A

Select exactly 100 credits in this group.

Courses from School(s) V - Data Science Courses

Select between 0 and 100 credits of the following courses
Notes:
These are courses in Data Science.

Over the duration of the programme, students should select between 0 and 100 credits of courses from either the Data Science and/or Health Care and Medical Informatics courses. These credits must be completed by the end of Year 4.

We recommend that students take no more than 60 credits in any one year.
Introduction to Java Programming
INFR09050 10 credits
Advanced Vision
INFR11151 10 credits
Introductory Applied Machine Learning
INFR11152 20 credits
Introduction to Vision and Robotics
INFR11153 10 credits
Image and Vision Computing
INFR11155 10 credits
Natural Computing
INFR11165 10 credits
Practical Introduction to High Performance Computing
INFR11184 20 credits
The use and evolution of digital data analysis and collection tools
PGSP11388 10 credits
Technologies of Civic Participation
PGSP11390 10 credits
Managing Digital Influence
PGSP11391 10 credits
Engaging with Digitial Research
PGSP11401 10 credits
Understanding Data Visualisation
PGSP11484 20 credits
AND

Courses from School(s) V - Health Care and Medical Informatics Courses

Select between 0 and 100 credits of the following courses
Notes:
These are courses in Health Care and Medical Informatics.

Over the duration of the programme, students should select between 0 and 100 credits of courses from either the Data Science and/or Health Care and Medical Informatics courses. These credits must be completed by the end of Year 4.

We recommend that students take no more than 60 credits in any one year.
Telemedicine and Telehealth
GLHE11005 10 credits
Ethics and Governance of eHealth
GLHE11036 10 credits
Public Health Informatics
GLHE11037 10 credits
User-Centred Design in eHealth
GLHE11038 10 credits
Research and Evaluation in eHealth
GLHE11039 10 credits
Health Informatics: core technologies and systems
GLHE11060 10 credits
Introduction to Health Informatics and eHealth
GLHE11066 10 credits
Medical Informatics
MCLM11037 10 credits
Neuroimaging: Common Image Processing Techniques 1
NEME11006 20 credits
Neuroimaging: Common Image Processing Techniques 2
NEME11037 10 credits
Practical Image Analysis 1
NEME11054 10 credits
Practical Image Analysis 2
NEME11055 10 credits

Year 4 Academic year: 2018/19, Starting in: September

Notes:
A total of 120 credits (the compulsory course worth 20 credits plus 100 credits from the Course Options) must be successfully taken to achieve the PG Diploma. The compulsory course may be taken in either year 1, 2, 3 or 4 of the programme. The Course Options consist of courses in Data Science and Health Care and Medical Informatics.

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

With Programme Director approval, students may take up to 20 online learning credits offered within the University of Edinburgh from a related subject area over the course of the programme.

Compulsory courses

You must take these courses
Practical Introduction to Data Science
INFR11183 20 credits

Course options

Group A

Select exactly 100 credits in this group.

Courses from School(s) V - Data Science Courses

Select between 0 and 100 credits of the following courses
Notes:
These are courses in Data Science.

Over the duration of the programme, students should select between 0 and 100 credits of courses from either the Data Science and/or Health Care and Medical Informatics courses. These credits must be completed by the end of Year 4.

We recommend that students take no more than 60 credits in any one year.
Introduction to Java Programming
INFR09050 10 credits
Advanced Vision
INFR11151 10 credits
Introductory Applied Machine Learning
INFR11152 20 credits
Introduction to Vision and Robotics
INFR11153 10 credits
Image and Vision Computing
INFR11155 10 credits
Natural Computing
INFR11165 10 credits
Practical Introduction to High Performance Computing
INFR11184 20 credits
The use and evolution of digital data analysis and collection tools
PGSP11388 10 credits
Technologies of Civic Participation
PGSP11390 10 credits
Managing Digital Influence
PGSP11391 10 credits
Engaging with Digitial Research
PGSP11401 10 credits
Understanding Data Visualisation
PGSP11484 20 credits
AND

Courses from School(s) V - Health Care and Medical Informatics Courses

Select between 0 and 100 credits of the following courses
Notes:
These are courses in Health Care and Medical Informatics.

Over the duration of the programme, students should select between 0 and 100 credits of courses from either the Data Science and/or Health Care and Medical Informatics courses. These credits must be completed by the end of Year 4.

We recommend that students take no more than 60 credits in any one year.
Telemedicine and Telehealth
GLHE11005 10 credits
Ethics and Governance of eHealth
GLHE11036 10 credits
Public Health Informatics
GLHE11037 10 credits
User-Centred Design in eHealth
GLHE11038 10 credits
Research and Evaluation in eHealth
GLHE11039 10 credits
Health Informatics: core technologies and systems
GLHE11060 10 credits
Introduction to Health Informatics and eHealth
GLHE11066 10 credits
Medical Informatics
MCLM11037 10 credits
Neuroimaging: Common Image Processing Techniques 1
NEME11006 20 credits
Neuroimaging: Common Image Processing Techniques 2
NEME11037 10 credits
Practical Image Analysis 1
NEME11054 10 credits
Practical Image Analysis 2
NEME11055 10 credits
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