THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2024/2025

Timetable information in the Course Catalogue may be subject to change.

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

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

Notes:
A total of 180 credits (the compulsory course EPCD11005 Practical Introduction to Data Science 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 5 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 20 credits (EPCD11005 Practical Introduction to Data Science). This course may be taken in either year 1, 2, 3, 4 or 5 of the programme.
- 100 credits of optional courses from 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.

Over the course of your programme, you may take up to 20 credits of courses not listed, in place of the course options. 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.

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

Course options

Select between 0 and 100 credits of the following courses
Notes:
By the end of year 5 at the latest and prior to progression to the dissertation element of the programme, students must complete the compulsory course worth 20 credits (EPCD11005 Practical Introduction to Data Science). This course may be taken in either year 1, 2, 3, 4 or 5 of the programme.

Year 2 Academic year: 2024/25, Starting in: September

Notes:
A total of 180 credits (the compulsory course EPCD11005 Practical Introduction to Data Science 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 5 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 20 credits (EPCD11005 Practical Introduction to Data Science). This course may be taken in either year 1, 2, 3, 4 or 5 of the programme.
- 100 credits of optional courses from below.

If you wish to take your dissertation with the following schools, you must complete the corresponding dissertation preparation course(s) as your final taught credits (the relevant project proposal courses are listed below):
The School of Informatics - one 10-credit dissertation preparation course
EPCC - one 10-credit dissertation preparation course
The School of Social and Political Science - one 10-credit dissertation preparation course
The Deanery of Molecular, Genetic and Population Sciences - two 10-credit dissertation preparation courses

You do not have to complete a dissertation preparation course to complete your dissertation with the Deanery of Clinical Sciences.

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

Over the course of your programme, you may take up to 20 credits of courses not listed, in place of the course options. 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.

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

Course options

Select between 0 and 100 credits of the following courses
Notes:
By the end of year 5 at the latest and prior to progression to the dissertation element of the programme, students must complete the compulsory course worth 20 credits (EPCD11005 Practical Introduction to Data Science). This course may be taken in either year 1, 2, 3, 4 or 5 of the programme.
AND

Informatics Project Proposal

Select between 0 and 10 credits of the following courses
Notes:
The following course (Informatics Project Proposal) must be taken if you plan to take your dissertation with the School of Informatics and must be undertaken before you commence your dissertation.
OR

Social Shaping of Digital Research

Select between 0 and 10 credits of the following courses
Notes:
The following course (Social Shaping of Digital Research) must be taken if you plan to take your dissertation with the School of Social and Political Science) and must be undertaken before you commence your dissertation .
OR

Deanery of Molecular, Genetic and Population Sciences Dissertation Preparation

Select between 0 and 20 credits of the following courses
Notes:
The following courses:

Foundations of research design in data science for health and social care
Applied research design in data science for health and social care

must be taken if you plan to take your dissertation with the Deanery of Molecular, Genetic and Population Sciences, and must be undertaken in the academic year before you commence your dissertation in the September.

If you have previously undertaken a research project, you may not have to take the course Foundations of research design in data science for health and social care. Please get in touch with the Programme Team at datascience@ed.ac.uk to discuss this.
OR

Project Preparation (DSTI)

Select between 0 and 10 credits of the following courses
Notes:
The following course (Project Preparation (DSTI)) must be taken if you plan to take your dissertation with EPCC and must be undertaken the January before you commence your dissertation in the September
AND

DSTI Dissertations

Select between 0 and 60 credits of the following courses

Year 3 Academic year: 2024/25, Starting in: September

Notes:
A total of 180 credits (the compulsory course EPCD11005 Practical Introduction to Data Science 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 5 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 20 credits (EPCD11005 Practical Introduction to Data Science). This course may be taken in either year 1, 2, 3, 4 or 5 of the programme.
- 100 credits of optional courses from below.

If you wish to take your dissertation with the following schools, you must complete the corresponding dissertation preparation course(s) as your final taught credits (the relevant project proposal courses are listed below):
The School of Informatics - one 10-credit dissertation preparation course
EPCC - one 10-credit dissertation preparation course
The School of Social and Political Science - one 10-credit dissertation preparation course
The Deanery of Molecular, Genetic and Population Sciences - two 10-credit dissertation preparation courses

You do not have to complete a dissertation preparation course to complete your dissertation with the Deanery of Clinical Sciences.

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

Over the course of your programme, you may take up to 20 credits of courses not listed, in place of the course options. 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.

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

Course options

Select between 0 and 100 credits of the following courses
Notes:
By the end of year 5 at the latest and prior to progression to the dissertation element of the programme, students must complete the compulsory course worth 20 credits (EPCD11005 Practical Introduction to Data Science). This course may be taken in either year 1, 2, 3, 4 or 5 of the programme.
AND

Informatics Project Proposal

Select between 0 and 10 credits of the following courses
Notes:
The following course (Informatics Project Proposal) must be taken if you plan to take your dissertation with the School of Informatics and must be undertaken the January before you commence your dissertation in the September
OR

Social Shaping of Digital Research

Select between 0 and 10 credits of the following courses
Notes:
The following course (Social Shaping of Digital Research) must be taken if you plan to take your dissertation with the School of Social and Political Science) and must be undertaken the January before you commence your dissertation in the September
OR

Project Preparation (DSTI)

Select between 0 and 10 credits of the following courses
Notes:
The following course (Project Preparation (DSTI)) must be taken if you plan to take your dissertation with EPCC and must be undertaken the January before you commence your dissertation in the September
OR

Deanery of Molecular, Genetic and Population Sciences Dissertation Preparation

Select between 0 and 20 credits of the following courses
Notes:
The following courses:

Foundations of research design in data science for health and social care
Applied research design in data science for health and social care

must be taken if you plan to take your dissertation with the Deanery of Molecular, Genetic and Population Sciences, and must be undertaken in the academic year before you commence your dissertation in the September.

If you have previously undertaken a research project, you may not have to take the course Foundations of research design in data science for health and social care. Please get in touch with the Programme Team at datascience@ed.ac.uk to discuss this.
AND

DSTI Dissertations

Select between 0 and 60 credits of the following courses
Notes:
To progress on to the Dissertation component students are required to have taken 120 credits with at least 80 credits passed with an overall average of or above 50%. If you have received official confirmation of progression then select one of the following courses which corresponds with the School your dissertation supervisor is affiliated to.

Year 4 Academic year: 2024/25, Starting in: September

Notes:
A total of 180 credits (the compulsory course 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 5 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 20 credits (Practical Introduction to Data Science, INFD11010). This course may be taken in either year 1, 2, 3, 4 or 5 of the programme.
- 100 credits of optional courses from below.

If you wish to take your dissertation with the following schools, you must complete the corresponding dissertation preparation course(s) as your final taught credits (the relevant project proposal courses are listed below):
The School of Informatics - one 10-credit dissertation preparation course
EPCC - one 10-credit dissertation preparation course
The School of Social and Political Science - one 10-credit dissertation preparation course
The Deanery of Molecular, Genetic and Population Sciences - two 10-credit dissertation preparation courses

You do not have to complete a dissertation preparation course to complete your dissertation with the Deanery of Clinical Sciences.

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

Over the course of your programme, you may take up to 20 credits of courses not listed, in place of the course options. 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.

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

Course options

Select between 0 and 100 credits of the following courses
Notes:
By the end of year 5 at the latest and prior to progression to the dissertation element of the programme, students must complete the compulsory course worth 20 credits (EPCD11005 Practical Introduction to Data Science). This course may be taken in either year 1, 2, 3, 4 or 5 of the programme.
AND

Informatics Project Proposal

Select between 0 and 10 credits of the following courses
Notes:
The following course (Informatics Project Proposal) must be taken if you plan to take your dissertation with the School of Informatics and must be undertaken the January before you commence your dissertation in the September
OR

Social Shaping of Digital Research

Select between 0 and 10 credits of the following courses
Notes:
The following course (Social Shaping of Digital Research) must be taken if you plan to take your dissertation with the School of Social and Political Science) and must be undertaken the January before you commence your dissertation in the September
OR

Project Preparation (DSTI)

Select between 0 and 10 credits of the following courses
Notes:
The following course (Project Preparation (DSTI)) must be taken if you plan to take your dissertation with EPCC and must be undertaken the January before you commence your dissertation in the September
OR

Deanery of Molecular, Genetic and Population Sciences Dissertation Preparation

Select between 0 and 20 credits of the following courses
Notes:
The following courses:

Foundations of research design in data science for health and social care
Applied research design in data science for health and social care

must be taken if you plan to take your dissertation with the Deanery of Molecular, Genetic and Population Sciences, and must be undertaken in the academic year before you commence your dissertation in the September.

If you have previously undertaken a research project, you may not have to take the course Foundations of research design in data science for health and social care. Please get in touch with the Programme Team at datascience@ed.ac.uk to discuss this.
AND

DSTI Dissertations

Select between 0 and 60 credits of the following courses
Notes:
To progress on to the Dissertation component students are required to have taken 120 credits with at least 80 credits passed with an overall average of or above 50%. If you have received official confirmation of progression then select one of the following courses which corresponds with the School your dissertation supervisor is affiliated to.

Year 5 Academic year: 2024/25, Starting in: September

Notes:
A total of 180 credits (the compulsory course 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 5 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 20 credits (Practical Introduction to Data Science, INFD11010). This course may be taken in either year 1, 2, 3, 4 or 5 of the programme.
- 100 credits of optional courses from below.

If you wish to take your dissertation with the following schools, you must complete the corresponding dissertation preparation course(s) as your final taught credits (the relevant project proposal courses are listed below):
The School of Informatics - one 10-credit dissertation preparation course
EPCC - one 10-credit dissertation preparation course
The School of Social and Political Science - one 10-credit dissertation preparation course
The Deanery of Molecular, Genetic and Population Sciences - two 10-credit dissertation preparation courses

You do not have to complete a dissertation preparation course to complete your dissertation with the Deanery of Clinical Sciences.

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

Over the course of your programme, you may take up to 20 credits of courses not listed, in place of the course options. 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.

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

Course options

Select between 0 and 100 credits of the following courses
Notes:
By the end of year 5 at the latest and prior to progression to the dissertation element of the programme, students must complete the compulsory course worth 20 credits (EPCD11005 Practical Introduction to Data Science). This course may be taken in either year 1, 2, 3, 4 or 5 of the programme.
AND

Project Preparation (DSTI)

Select between 0 and 10 credits of the following courses
Notes:
The following course (Project Preparation (DSTI)) must be taken if you plan to take your dissertation with EPCC and must be undertaken the January before you commence your dissertation in the September
OR

Social Shaping of Digital Research

Select between 0 and 10 credits of the following courses
Notes:
The following course (Social Shaping of Digital Research) must be taken if you plan to take your dissertation with the School of Social and Political Science) and must be undertaken the January before you commence your dissertation in the September
OR

Informatics Project Proposal

Select between 0 and 10 credits of the following courses
Notes:
The following course (Informatics Project Proposal) must be taken if you plan to take your dissertation with the School of Informatics and must be undertaken the January before you commence your dissertation in the September
OR

Deanery of Molecular, Genetic and Population Sciences Dissertation Preparation

Select between 0 and 20 credits of the following courses
Notes:
The following courses:

Foundations of research design in data science for health and social care
Applied research design in data science for health and social care

must be taken if you plan to take your dissertation with the Deanery of Molecular, Genetic and Population Sciences, and must be undertaken in the academic year before you commence your dissertation in the September.

If you have previously undertaken a research project, you may not have to take the course Foundations of research design in data science for health and social care. Please get in touch with the Programme Team at datascience@ed.ac.uk to discuss this.
AND

DSTI Dissertations

Select between 0 and 60 credits of the following courses
Notes:
To progress on to the Dissertation component students are required to have taken 120 credits with at least 80 credits passed with an overall average of or above 50%. If you have received official confirmation of progression then select one of the following courses which corresponds with the School your dissertation supervisor is affiliated to.

Year 6 Academic year: 2024/25, Starting in: September

Notes:
A total of 180 credits (the compulsory course worth 20 credits, the Dissertation worth 60 credits, plus 100 credits of taught courses) must be successfully taken to achieve the MSc.

To progress on to the Dissertation component students are required to have taken 120 credits with at least 80 credits passed with an overall average of or above 50%.

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

Course options

DSTI Dissertations

Select between 0 and 60 credits of the following courses
Notes:
Students must have completed 120 credits with at least 80 credits passed with an overall average of or above 50%. If by Year 6 you have not yet done so an extension to your studies may be required. Please contact the Programme Team for further instruction.

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