THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2017/2018

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DRPS : DPTs : College of Science and Engineering DPTs

Jump to: Year 1, Year 2, Year 3, Year 4, Year 5, Year 6

Year 1 Academic year: 2017/18, Starting in: September

A total of 180 credits (the compulsory courses worth 20 credits, the Dissertation worth 60 credits, plus 100 credits from the Course Options) must be successfully taken to achieve the MSc.

By the end of year 4 at the latest and prior to progression to the dissertation element of the programme, students must complete the taught element of the programme:
- compulsory course worth 10 credits (Medical Informatics, MCLM11037). This course may be taken in either year 1, 2, 3 or 4 of the programme.
- compulsory course worth 10 credits (Research and Evaluation in eHealth, GLHE11039). This course may be taken in either year 1, 2, 3 or 4 of the programme.
- 100 credits of optional courses (from either the Data Science and/or Health Care and Medical Informatics courses).

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

Compulsory courses

Medical Informatics

Research and Evaluation in eHealth

Course options

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 at the latest.

We recommend that students take no more than 60 credits in any one year.

Introduction to Java Programming

Advanced Vision

Introductory Applied Machine Learning

Introduction to Vision and Robotics

Practical Introduction to Data Science

Practical Introduction to High Performance Computing

The use and evolution of digital data analysis and collection tools

Social Shaping of Digital Research

Technologies of Civic Participation

Managing Digital Influence

Understanding Data Visualisation

Engaging with Digitial Research

AND

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 at the latest.

We recommend that students take no more than 60 credits in any one year.

Telemedicine and Telehealth

Ethics and Governance of eHealth

Public Health Informatics

User-Centred Design in eHealth

Health Informatics: core technologies and systems

Introduction to Health Informatics and eHealth

Neuroimaging: Common Image Processing Techniques 1

Neuroimaging: Common Image Processing Techniques 2

Year 2 Academic year: 2017/18, Starting in: September

A total of 180 credits (the compulsory courses worth 20 credits, the Dissertation worth 60 credits, plus 100 credits from the Course Options) must be successfully taken to achieve the MSc.

By the end of year 4 at the latest and prior to progression to the dissertation element of the programme, students must complete the taught element of the programme:
- compulsory course worth 10 credits (Medical Informatics, MCLM11037). This course may be taken in either year 1, 2, 3 or 4 of the programme.
- compulsory course worth 10 credits (Research and Evaluation in eHealth, GLHE11039). This course may be taken in either year 1, 2, 3 or 4 of the programme.
- 100 credits of optional courses (from either the Data Science and/or Health Care and Medical Informatics courses).

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

Compulsory courses

Medical Informatics

Research and Evaluation in eHealth

Course options

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 at the latest.

We recommend that students take no more than 60 credits in any one year.

Introduction to Java Programming

Advanced Vision

Introductory Applied Machine Learning

Introduction to Vision and Robotics

Practical Introduction to Data Science

Practical Introduction to High Performance Computing

The use and evolution of digital data analysis and collection tools

Social Shaping of Digital Research

Technologies of Civic Participation

Managing Digital Influence

Understanding Data Visualisation

Engaging with Digitial Research

AND

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 at the latest.

We recommend that students take no more than 60 credits in any one year.

Telemedicine and Telehealth

Ethics and Governance of eHealth

Public Health Informatics

User-Centred Design in eHealth

Health Informatics: core technologies and systems

Introduction to Health Informatics and eHealth

Neuroimaging: Common Image Processing Techniques 1

Neuroimaging: Common Image Processing Techniques 2

Year 3 Academic year: 2017/18, Starting in: September

A total of 180 credits (the compulsory courses worth 20 credits, the Dissertation worth 60 credits, plus 100 credits from the Course Options) must be successfully taken to achieve the MSc.

By the end of year 4 at the latest and prior to progression to the dissertation element of the programme, students must complete the taught element of the programme:
- compulsory course worth 10 credits (Medical Informatics, MCLM11037). This course may be taken in either year 1, 2, 3 or 4 of the programme.
- compulsory course worth 10 credits (Research and Evaluation in eHealth, GLHE11039). This course may be taken in either year 1, 2, 3 or 4 of the programme.
- 100 credits of optional courses (from either the Data Science and/or Health Care and Medical Informatics courses).

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

Compulsory courses

Medical Informatics

Research and Evaluation in eHealth

Course options

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 at the latest.

We recommend that students take no more than 60 credits in any one year.

Introduction to Java Programming

Advanced Vision

Introductory Applied Machine Learning

Introduction to Vision and Robotics

Practical Introduction to Data Science

Practical Introduction to High Performance Computing

The use and evolution of digital data analysis and collection tools

Social Shaping of Digital Research

Technologies of Civic Participation

Managing Digital Influence

Understanding Data Visualisation

Engaging with Digitial Research

AND

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 at the latest.

We recommend that students take no more than 60 credits in any one year.

Telemedicine and Telehealth

Ethics and Governance of eHealth

Public Health Informatics

User-Centred Design in eHealth

Health Informatics: core technologies and systems

Introduction to Health Informatics and eHealth

Neuroimaging: Common Image Processing Techniques 1

Neuroimaging: Common Image Processing Techniques 2

Year 4 Academic year: 2017/18, Starting in: September

A total of 180 credits (the compulsory courses worth 20 credits, the Dissertation worth 60 credits, plus 100 credits from the Course Options) must be successfully taken to achieve the MSc.

By the end of year 4 at the latest and prior to progression to the dissertation element of the programme, students must complete the taught element of the programme:
- compulsory course worth 10 credits (Medical Informatics, MCLM11037). This course may be taken in either year 1, 2, 3 or 4 of the programme.
- compulsory course worth 10 credits (Research and Evaluation in eHealth, GLHE11039). This course may be taken in either year 1, 2, 3 or 4 of the programme.
- 100 credits of optional courses (from either the Data Science and/or Health Care and Medical Informatics courses).

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

Compulsory courses

Medical Informatics

Research and Evaluation in eHealth

Course options

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 at the latest.

We recommend that students take no more than 60 credits in any one year.

Introduction to Java Programming

Advanced Vision

Introductory Applied Machine Learning

Introduction to Vision and Robotics

Practical Introduction to Data Science

Practical Introduction to High Performance Computing

The use and evolution of digital data analysis and collection tools

Social Shaping of Digital Research

Technologies of Civic Participation

Managing Digital Influence

Understanding Data Visualisation

Engaging with Digitial Research

AND

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 at the latest.

We recommend that students take no more than 60 credits in any one year.

Telemedicine and Telehealth

Ethics and Governance of eHealth

Public Health Informatics

User-Centred Design in eHealth

Health Informatics: core technologies and systems

Introduction to Health Informatics and eHealth

Neuroimaging: Common Image Processing Techniques 1

Neuroimaging: Common Image Processing Techniques 2

Year 5 Academic year: 2017/18, Starting in: September

A total of 180 credits (the compulsory courses worth 20 credits, the Dissertation worth 60 credits, plus 100 credits from the Course Options) must be successfully taken to achieve the MSc.

By the end of year 4 at the latest and prior to progression to the dissertation element of the programme, students must complete the taught element of the programme:
- compulsory course worth 10 credits (Medical Informatics, MCLM11037). This course may be taken in either year 1, 2, 3 or 4 of the programme.
- compulsory course worth 10 credits (Research and Evaluation in eHealth, GLHE11039). This course may be taken in either year 1, 2, 3 or 4 of the programme.
- 100 credits of optional courses (from either the Data Science and/or Health Care and Medical Informatics courses).

Compulsory courses

Data Science, Technology and Innovation (Medical Informatics) Dissertation

Year 6 Academic year: 2017/18, Starting in: September

A total of 180 credits (the compulsory courses worth 20 credits, the Dissertation worth 60 credits, plus 100 credits from the Course Options) must be successfully taken to achieve the MSc.

By the end of year 4 at the latest and prior to progression to the dissertation element of the programme, students must complete the taught element of the programme:
- compulsory course worth 10 credits (Medical Informatics, MCLM11037). This course may be taken in either year 1, 2, 3 or 4 of the programme.
- compulsory course worth 10 credits (Research and Evaluation in eHealth, GLHE11039). This course may be taken in either year 1, 2, 3 or 4 of the programme.
- 100 credits of optional courses (from either the Data Science and/or Health are and Medical Informatics courses).

Compulsory courses

Data Science, Technology and Innovation (Medical Informatics) Dissertation

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