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

Vocal Performance

Coleg Sir Gar
Qualification
Degree
Length
3 yrs
UK fees / yr
£9,535
Study
full-time
Worth knowing: about 20% of students don't make it past first year here - ask the uni what support they offer.
Robin · 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 Vocal Performance 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 pts10%
48-63 pts5%
64-79 pts5%
80-95 pts5%
96-111 pts20%
112-127 pts20%
128-143 pts15%
144-159 pts5%
160-175 pts10%
176-191 pts5%
192-207 pts5%
How they qualified
65% got in with A-levels. The rest came in a mix of ways:
A-levels65%
Other15%
no formal qualifications10%
other higher education10%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
86%
In work or further study after
80%
Continue past first year
80%
Student satisfaction
What graduates earn over time
£17,000
3 years on
£21,500
5 years on
What graduates actually go on to do % of leavers
Elementary occupations10%
Artistic, literary and media occupationsHighly skilled18%
Web and Multimedia Design ProfessionalsHighly skilled12%
Sales occupations7%
Design occupationsHighly skilled5%
Skilled trades occupations4%
Teaching and Childcare Support Occupation4%
Business and public service associate professionalsHighly skilled3%
What students say National Student Survey
80%
of students are satisfied with the course overall
Teaching89%
Assessment & feedback79%
Academic support93%
Well organised78%
Learning resources71%
Student community80%
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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 · 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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