MA Music and Data Science (Part-Time)
Programme overview
- Programme code
-
MA-MU/DS-PT
- UCAS code
-
- Duration
-
24 Months
- Method of Attendance
-
- Programme manager
-
Silviu Cobeanu
- Total credits
-
180
- School/Unit responsible for the parenting of students and programme
-
School of Music
- Examination board through which the programme will be considered
-
School of Music
Entry requirements
Programme specification
Year 1
(Part-Time)
[Learning Outcomes, Transferable (Key) Skills, Assessment]
View Timetable
Compulsory Modules
Candidates will be required to study the following compulsory modules:
| Code | Title | Credits | Semester | Pass for Progression |
|---|
| COMP5122M | Data Science | 15 | Semester 1 (Sep to Jan) | |
| COMP5712M | Programming for Data Science | 15 | Semester 1 (Sep to Jan) | |
| COMP5840M | Data Mining and Text Analytics | 15 | Semester 2 (Jan to Jun) | |
| LUBS5990M | Machine Learning in Practice | 15 | Semester 2 (Jan to Jun) | |
Optional Modules
Candidates will be required to study 30 credits from the following optional modules:
| Code | Title | Credits | Semester | Pass for Progression |
|---|
| MUS5112M | The Recording Industry Now | 30 | Semester 1 (Sep to Jan) | |
| MUS5211M | How Songs Make Money | 30 | Semester 2 (Jan to Jun) | |
| MUS5331M | Short Dissertation | 30 | Semesters 1 & 2 (Sep to Jun) | |
| MUS5332M | Individual Project | 30 | Semesters 1 & 2 (Sep to Jun) | |
Please note that optional modules run subject to enrolments. An optional module may not run if only a low number of students choose it.
Year 2
(Part-Time)
[Learning Outcomes, Transferable (Key) Skills, Assessment]
View Timetable
Compulsory Modules
Candidates will be required to study the following compulsory modules:
| Code | Title | Credits | Semester | Pass for Progression |
|---|
| MUS5011M | Music and Data Science Project | 60 | 1 Jan to 30 Sep | PFP |
| MUS5113M | Music Data Research | 30 | Semester 1 (Sep to Jan) | |
Last updated: 30/04/2026 16:03:26
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