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

Statistics

The University of Essex
Qualification
Degree
Length
4 yrs
UK fees / yr
Β£9,535
Study
full-time
Worth knowing: about 33% 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

Statistics is the science of learning from data under uncertainty. It provides the mathematical and conceptual tools for designing studies, collecting and summarising data, making inferences about populations from samples and communicating what evidence does and does not support. Statistics underpins scientific research across every field that uses data, from medicine and social science to economics, engineering and environmental monitoring, and it is the foundation on which modern data science and machine learning are built.

At the University of Essex you will follow this four-year full-time statistics degree, developing a thorough grounding in probability theory, statistical inference, regression and linear models, Bayesian methods, time series analysis and the computational tools used in statistical practice. The four-year structure gives you the time to develop genuine mathematical depth alongside breadth of application, exploring how statistical methods are used in different disciplines and developing the ability to adapt them to novel problems. Essex has a strong quantitative social science tradition and well-developed research connections across the statistical sciences, providing a stimulating intellectual environment.

Statistics develops a distinctive quality of thinking: clarity about what you know and do not know, precision about what a given dataset can and cannot tell you, and the ability to communicate uncertainty honestly and usefully to people who need to make decisions. These are capabilities that are in growing demand as data becomes ubiquitous but statistical literacy remains scarce.

Graduates from statistics degrees are employed in pharmaceutical and clinical research, government statistical services, market research, financial risk modelling, actuarial work, data science, machine learning, environmental modelling and a very wide range of other analytical roles. The combination of mathematical rigour with practical data skills that statistics provides is one of the most versatile foundations a quantitative degree can offer. Postgraduate study in statistics, data science, biostatistics or related fields is a natural option for those wishing to develop specialist expertise.

Could you get in?
The grades students arrived with
<48 pts5%
48-63 pts5%
64-79 pts13%
80-95 pts7%
96-111 pts18%
112-127 pts12%
128-143 pts5%
144-159 pts9%
160-175 pts6%
176-191 pts2%
192-207 pts1%
208-223 pts1%
224-239 pts1%
240+ pts3%
How they qualified
67% got in with A-levels. The rest came in a mix of ways:
A-levels67%
other higher education24%
no formal qualifications4%
Other3%
an Access course2%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
85%
In work or further study after
67%
Continue past first year
84%
Student satisfaction
What graduates earn over time
Β£33,500
3 years on
Β£45,500
5 years on
What graduates actually go on to do % of leavers
Elementary occupations10%
Information Technology ProfessionalsHighly skilled55%
Sales occupations5%
Business and public service associate professionalsHighly skilled5%
Science, engineering and technology associate professionalsHighly skilled5%
Administrative occupations5%
Skilled trades occupations5%
Managers, directors and senior officialsHighly skilled5%
What students say National Student Survey
84%
of students are satisfied with the course overall
Teaching81%
Assessment & feedback81%
Academic support76%
Well organised82%
Learning resources85%
Student community86%
In students' own words
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Would do it again
Coming here has changed how I think. The best part: the cohort are bright and motivated, which makes the learning environment great. If I'm honest, would like to see more industry guest speakers in later years. On the city β€” good transport …
Class of 2022 Β· Part-time
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A great decision
Coming here has changed how I think. The best part: the cohort are bright and motivated, which makes the learning environment great. If I'm honest, some seminar groups were too big for meaningful discussion. On the city β€” good transport lin…
Postgraduate Β· Full-time
More courses like this
Where this degree can lead
Like the look of it?
When you're ready, the full entry requirements and application are on The University of Essex'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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