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Queen Mary University of London: Applied Statistics and Data Science
| Institution | Queen Mary University of London View institution profile |
|---|---|
| Department | Mathematical Sciences |
| Web | https://www.qmul.ac.uk/ |
| Study type | Taught |
Summary
This programme moves on from traditional statistics degrees, providing modernised modules that meet the needs of industry today. You will be taught to harness the power of data and statistics in addition to learning analysis tools such as R and Python. The knowledge and skills you learn will provide you with a platform to work across a variety of industries, go into research or undertake a PhD.
Programme Highlights - Become highly employable in the field of statistics across a variety of industries, including Big Pharma, Big Tech, clinical trials, psychology and Government agencies.
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Learn from academic experts across a number of fields such as statistics, finance and data analytics.
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Learn analysis tools such as R and Python.
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Opportunity to undertake an applied summer dissertation project.
Career Outcomes Successful completion of this degree will provide you with opportunities to go into industry in areas such as clinical trials, Big Pharma, Big Tech, psychology and Government agencies. The programme will also provide you with a platform to go into research or undertake a PhD.
MSc
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A high 2:2 (55% or above) at undergraduate level in a Science, Technology, Engineering or Mathematics (STEM) subject. Applicants with a 2:1 in any other subject can also be considered provided the degree contains satisfactory study in mathematics or statistics. |
| Location | Mile End Mile End Road Tower Hamlets E1 4NS |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A high 2:2 (55% or above) at undergraduate level in a Science, Technology, Engineering or Mathematics (STEM) subject. Applicants with a 2:1 in any other subject can also be considered provided the degree contains satisfactory study in mathematics or statistics. |
| Location | Mile End Mile End Road Tower Hamlets E1 4NS |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A high 2:2 (55% or above) at undergraduate level in a Science, Technology, Engineering or Mathematics (STEM) subject. Applicants with a 2:1 in any other subject can also be considered provided the degree contains satisfactory study in mathematics or statistics. |
| Location | Mile End Mile End Road Tower Hamlets E1 4NS |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A high 2:2 (55% or above) at undergraduate level in a Science, Technology, Engineering or Mathematics (STEM) subject. Applicants with a 2:1 in any other subject can also be considered provided the degree contains satisfactory study in mathematics or statistics. |
| Location | Mile End Mile End Road Tower Hamlets E1 4NS |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A high 2:2 (55% or above) at undergraduate level in a Science, Technology, Engineering or Mathematics (STEM) subject. Applicants with a 2:1 in any other subject can also be considered provided the degree contains satisfactory study in mathematics or statistics. |
| Location | Mile End Mile End Road Tower Hamlets E1 4NS |
Queen Mary University of London is a place where every difference is celebrated –where your unique perspective is not just welcomed, but essential. Join a community where your individuality fuels progress, and your distinct experiences shape a richer, more dynamic learning environment.
Ranked 110th in the world (QS 2026) and 24th in the world for research (Times Higher Education 2026), join students from over 170 nationalities, and study at the only campus-based Russell Group University in London.
Queen Mary is dedicated to supporting international students from all over the world and offer financial support and …
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