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High Drop-out Rate Alert

20% of students drop out or transfer from this specific course. Consider asking why on an open day.

Home›Queen Mary University of London›BSc Mathematics and Statistics

BSc Mathematics and Statistics

Queen Mary University of London🥈 TEF Silver
Full-time4 YearsSubject: Mathematical Sciences
Apply via UCASUniversity Page⚖️ Compare
Course Score
C /68
Graduate Salary£32,000 (3yr)
Satisfaction85%
Degree Completion80%
Professional JobsN/A
Meaningful WorkN/A

Expected Starting Salary

Typical starting salary for Mathematical Sciences graduates

Start
Sep 2027
Graduate
2031
First job
~2032
N/A
typical starting salary

Data not provided

This provider hasn't submitted graduate salary data to HESA for this course.

Where Graduates Work

Top job roles graduates enter after this course

01
Information Technology Professionals
★ Professional
19%
02
Finance Professionals
★ Professional
18%
03
Business and public service associate professionals
★ Professional
12%
04
Administrative occupations
10%
05
Teaching Professionals
★ Professional
8%
06
Business, Research and Administrative Professionals
★ Professional
7%
07
Science, engineering and technology associate professionals
★ Professional
4%
08
Elementary occupations
3%
09
Managers, directors and senior officials
★ Professional
3%
10
Customer service occupations
2%

Student Satisfaction

National Student Survey — 230 respondents (69% response rate)

82%
Teaching Quality
80%
Assessment & Feedback
76%
Academic Support
86%
Organisation
85%
Learning Resources
72%
Student Voice

Your Local Budget 🍕

London
Average Weekly Rent
£220
Est. Annual Total£18,660
💸40% more expensive than the UK average

💰Free Money & Grants

Don't rely just on loans! Universities give out thousands in non-repayable cash bursaries if your household income is lower or you come from a state school.

See if you qualify ↗

🚦 Will I Get In?

Input your predicted A-Levels to see how you compare to last year's accepted students.

Past Accepted Tariffs

112-127
25%
128-143
15%
144-159
10%
160-175
50%

Entry Qualifications

A-level
100%

Accreditations

Data not provided

This provider hasn't submitted accreditation data to HESA for this course.

AI & Your Career

Based on Anthropic research

51%
High Exposure

AI is actively being used in many tasks within this career, though human expertise remains important. Graduates who understand AI tools will have a competitive advantage.

Graduate Roles by AI Exposure

72%Information Technology
68%Customer service
60%Business, Research and Administrative
55%Administrative
52%Finance

Outcomes

80%
Continuation