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Data Science and Analytics

Entry requirements


A level

B,B,B

Offers will be made in the range of BBB to BBC or 120-112 UCAS tariff points from a minimum of the equivalent of 2 full A-levels Including Mathematics or Further Mathematics. Please note we are unable to accept A-level Use of Mathematics in place of A-level Mathematics. For A-level Maths or Further Maths, we also accept Pure Maths or Maths (Pure) and Statistics (joint A-level).

Access to HE Diploma

D:6,M:39

Only in conjunction with A-level Mathematics. We can only accept QAA approved Access to HE Diplomas

International Baccalaureate Diploma Programme

29-30

Or three Higher Level certificates with 555-554. Either must include Higher Level Mathematics grade 5. We are happy to consider a combination of separate IB Diploma Programmes at both Higher and Standard Level. Exact offer levels will vary depending on the range of subjects being taken at higher and standard level, and the course applied for. Please contact the Undergraduate Admissions Office for more information.

UCAS Tariff

112-120

Offers will be made from a minimum of the equivalent of 2 full A-levels.

About this course


Course option

3years

Full-time | 2024

Subjects

Computer science

Statistics

Data is the lifeblood of our society. From medicine to government offices, and market research to the environment, the collection and analysis of data is crucial to understanding how to improve, create and guide products and services across the globe.

Harvard Business Review recently described the job of Data Scientist as "the sexiest job of the 21st century". Data science is about doing some detective work and carrying out the investigations needed to inform important decisions and to predict new trends. Technology is growing and evolving at an incredible speed, and both the rate of growth of data we generate and the devices we use to process it can only increase.

At Essex, we help you to understand how utilising the speed and processing-power of computers can assist in using data to make better decisions. You discover the new methods and the smart, unusual questions needed to make sense of both structured and unstructured data.

Your course balances solid theory with practical application through exploring topics including:

- Mathematical skills

- Computer science and programming

- Statistics and operations research

- Artificial intelligence, databases and information retrieval

- Ethical issues around the use and processing of data

- Specialist skills in the areas of big data, data analytics and data science

A successful career in data science requires you to possess truly interdisciplinary knowledge, so we ensure that you graduate with a wide-ranging yet specialised set of skills in this area. You are taught within our Department of Mathematical Sciences and our School of Computer Science and Electronic Engineering.

Data scientists are required in every sector, carrying out statistical analysis or mining data on social media, so our course can open the door to almost any industry, from health, to government, to publishing.

Modules

Many of our courses offer a choice of optional modules to tailor your learning experience. More information about these can be found on the University of Essex website.

Tuition fees

Select where you currently live to see what you'll pay:

Channel Islands
£9,250
per year
England
£9,250
per year
EU
£20,500
per year
International
£20,500
per year
Northern Ireland
£9,250
per year
Republic of Ireland
£9,250
per year
Scotland
£9,250
per year
Wales
£9,250
per year

The Uni


Course location:

Colchester Campus

Department:

Mathematics, Statistics and Actuarial Science

Read full university profile

What students say


We've crunched the numbers to see if overall student satisfaction here is high, medium or low compared to students studying this subject(s) at other universities.

65%
Computer science
76%
Statistics

How do students rate their degree experience?

The stats below relate to the general subject area/s at this university, not this specific course. We show this where there isn’t enough data about the course, or where this is the most detailed info available to us.

Computer science

Teaching and learning

60%
Staff make the subject interesting
67%
Staff are good at explaining things
67%
Ideas and concepts are explored in-depth
76%
Opportunities to apply what I've learned

Assessment and feedback

Feedback on work has been timely
Feedback on work has been helpful
Staff are contactable when needed
Good advice available when making study choices

Resources and organisation

78%
Library resources
80%
IT resources
86%
Course specific equipment and facilities
54%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions
Feel part of a community on my course

Who studies this subject and how do they get on?

70%
UK students
30%
International students
86%
Male students
14%
Female students
83%
2:1 or above
18%
First year drop out rate

Most popular A-Levels studied (and grade achieved)

C
C
D

Statistics

Teaching and learning

69%
Staff make the subject interesting
81%
Staff are good at explaining things
80%
Ideas and concepts are explored in-depth
82%
Opportunities to apply what I've learned

Assessment and feedback

Feedback on work has been timely
Feedback on work has been helpful
Staff are contactable when needed
Good advice available when making study choices

Resources and organisation

87%
Library resources
77%
IT resources
84%
Course specific equipment and facilities
67%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions
Feel part of a community on my course

Who studies this subject and how do they get on?

65%
UK students
35%
International students
67%
Male students
33%
Female students
76%
2:1 or above
16%
First year drop out rate

Most popular A-Levels studied (and grade achieved)

C
E
C

After graduation


The stats in this section relate to the general subject area/s at this university – not this specific course. We show this where there isn't enough data about the course, or where this is the most detailed info available to us.

Computer science

What are graduates doing after six months?

This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.

£25,000
med
Average annual salary
88%
low
Employed or in further education
83%
med
Employed in a role where degree was essential or beneficial

Top job areas of graduates

74%
Information technology and telecommunications professionals
7%
Business, finance and related associate professionals
6%
Information technology technicians

This is a newly-classified subject area for this kind of data, so we don’t currently have very much information to display or analyse yet. The subject is linked to important and growing computing industries, and over time we can expect more students to study them — there could be opportunities that open up for graduates in these subjects as the economy develops over the next few years.

Statistics

What are graduates doing after six months?

This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.

£24,000
med
Average annual salary
94%
med
Employed or in further education

Top job areas of graduates

33%
Business, finance and related associate professionals
8%
Sales assistants and retail cashiers
7%
Teaching and educational professionals

The business and research sectors worry that the UK hasn't got enough people with good statistics skills, and as stats are at the heart of so much of the economy, and we only have a few hundred graduates a year in the discipline, this type of degree can be very useful and versatile. The finance industry is very popular with this group, and they're far more likely to be working in London than most other graduates. And who can blame them — statistics graduates starting work in London were earning an average of nearly £29k just six months after leaving university. There is also demand from the Scottish finance sector in Edinburgh and Glasgow - particularly in banking and insurance. But a good statistician can find work almost anywhere that data can be analysed - which, in an online world, is almost anywhere - and many industries struggle to find enough statisticians to fulfil demand, so stay flexible and you can find a variety of options.

What about your long term prospects?

Looking further ahead, below is a rough guide for what graduates went on to earn.

Computer science

The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.

£28k

£28k

£34k

£34k

£37k

£37k

Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.

Statistics

The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.

£24k

£24k

£30k

£30k

£39k

£39k

Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.

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Teaching Excellence Framework (TEF):

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This information comes from the National Student Survey, an annual student survey of final-year students. You can use this to see how satisfied students studying this subject area at this university, are (not the individual course).

This is the percentage of final-year students at this university who were "definitely" or "mostly" satisfied with their course. We've analysed this figure against other universities so you can see whether this is high, medium or low.

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This information is from the Higher Education Statistics Agency (HESA), for undergraduate students only.

You can use this to get an idea of who you might share a lecture with and how they progressed in this subject, here. It's also worth comparing typical A-level subjects and grades students achieved with the current course entry requirements; similarities or differences here could indicate how flexible (or not) a university might be.

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Post-six month graduation stats:

This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.

It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.

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Graduate field commentary:

The Higher Education Careers Services Unit have provided some further context for all graduates in this subject area, including details that numbers alone might not show

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The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.

While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?

Have a question about this info? Learn more here