THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2017/2018

University Homepage
DRPS Homepage
DRPS Search
DRPS Contact
DRPS : DPTs :  School of Informatics DPTs
Jump to: Year 1, Year 2, Year 3

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

Notes:
Before making your course choices, make sure you have discussed them with your Personal Tutor.

During the first two years of this programme, students are permitted to take a maximum of 30 credits of courses that are below level 11 or not individually listed below. Over the first two years, at least 10 credits must be selected from each of the three topic groupings: 'Machine Learning, Statistics and Optimization', 'Databases and Data Management', and 'Data Science Applications'.

Compulsory courses

You must take these courses

Course options

Group A

Select exactly 50 credits in this group.

Courses from School(s) O-P - DSCDT - MACHINE LEARNING - Level(s) 9-11

Select between 0 and 50 credits of the following courses
Notes:
These are courses in Machine Learning, Statistics, and Optimization open to taught postgraduate students.
AND

Courses from School(s) O - DSCDT - DATABASES - Level 11

Select between 0 and 50 credits of the following courses
Notes:
These are courses in Databases and Data Management Systems open to taught postgraduate students.
AND

Courses from School(s) O/I/P - DSCDT - APPS - Level(s) 11

Select between 0 and 50 credits of the following courses
Notes:
These are courses in Unstructured Data and Applications open to taught postgraduate students.
AND

Level 11 courses in Schedules A to Q, T and W

Select between 0 and 20 credits from Level 11 courses in Schedules A to Q, T and W
Notes:
These are courses in all schools other than Medicine or Veterinary Studies. Note this includes courses within the School of Informatics.
AND

Level 9 and 10 courses in Schedules A to Q, T and W

Select between 0 and 10 credits from Level 9 and 10 courses in Schedules A to Q, T and W
Notes:
These are courses in all schools other than Medicine and Veterinary Studies. Note this includes courses within the School of Informatics.

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

Notes:
Before making your course choices, make sure you have discussed them with your Personal Tutor.

During the first two years of this programme, students are permitted to take a maximum of 30 credits of courses that are below level 11 or not individually listed below. Over the first two years, at least 10 credits must be selected from each of the three topic groupings: 'Machine Learning, Statistics and Optimization', 'Databases and Data Management', and 'Data Science Applications'.

Compulsory courses

You must take these courses

Course options

Group A

Select exactly 50 credits in this group.

Courses from School(s) O-P - DSCDT - MACHINE LEARNING - Level(s) 9-11

Select between 0 and 50 credits of the following courses
Notes:
These are courses in Machine Learning, Statistics, and Optimization open to taught postgraduate students.
AND

Courses from School(s) O - DSCDT - DATABASES - Level 11

Select between 0 and 50 credits of the following courses
Notes:
These are courses in Databases and Data Management Systems open to taught postgraduate students.
AND

Courses from School(s) O/I/P - DSCDT - APPS - Level(s) 11

Select between 0 and 50 credits of the following courses
Notes:
These are courses in Unstructured Data and Applications open to taught postgraduate students.
AND

Level 11 courses in Schedules A to Q, T and W

Select between 0 and 20 credits from Level 11 courses in Schedules A to Q, T and W
Notes:
These are courses in all schools other than Medicine or Veterinary Studies.
AND

Level 9 and 10 courses in Schedules A to Q, T and W

Select between 0 and 10 credits from Level 9 and 10 courses in Schedules A to Q, T and W
Notes:
These are courses in all schools other than Medicine and Veterinary Medicine.

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

Notes:
Before making your course choices, make sure you have discussed them with your Personal Tutor.

Compulsory courses

You must take these courses

General Disclaimer