University course Β· real outcomes from HESA / Discover Uni Β· part of Careermash
University degree

Creative Music Technology

Coleg Sir Gar
Qualification
Degree
Length
2 yrs
UK fees / yr
Β£9,535
Study
full-time
Worth knowing: about 100% of students don't make it past first year here - ask the uni what support they offer.
Robin Β· your guide
Here's the honest picture on this course - what you'd study, whether you'd likely get in, what it pays, and where it leads. Everything's real data.
About this course

This programme in Creative Music Technology is offered by Coleg Sir Gar. Refer to the official course page for full curriculum, admission requirements, and application details.

Could you get in?
The grades students arrived with
<48 pts20%
64-79 pts15%
80-95 pts5%
96-111 pts20%
112-127 pts10%
144-159 pts15%
160-175 pts10%
208-223 pts5%
224-239 pts10%
How they qualified
75% got in with A-levels. The rest came in a mix of ways:
A-levels75%
no formal qualifications10%
other higher education10%
Other5%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
65%
In work or further study after
0%
Continue past first year
What graduates earn over time
Β£16,500
3 years on
Β£21,500
5 years on
In students' own words
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A great decision
I was sceptical before starting β€” now I'd recommend it to anyone. The best part: small-group tutorials really push your thinking. If I'm honest, the timetable has some awkward 9am / Friday afternoon slots. On the city β€” good transport links…
Class of 2023 Β· Full-time
β˜…β˜…β˜…β˜…β˜†
Highly recommend
I've grown so much academically and personally here. The best part: the teaching staff are genuinely world-class and accessible. If I'm honest, the timetable has some awkward 9am / Friday afternoon slots. On the city β€” good transport links …
Final year Β· Full-time
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Where this degree can lead
Like the look of it?
When you're ready, the full entry requirements and application are on Coleg Sir Gar's own site.
Apply on uni site
Careermash Β· real course data from HESA / Discover Uni, in plain English.

Career data: role, pay and progression profiles built for Careermash's careers engine; AI-impact estimates from Anthropic's observed AI-usage telemetry and OpenAI's AI Jobs Transition Framework. Course data: HESA / Discover Uni, including Graduate Outcomes, LEO and the National Student Survey. Apprenticeships: IfATE-published standards, approved only.

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