Data Science (with an industrial placement)
University of Sussex
UCAS Code: G302 | Bachelor of Science (with Honours) - BSc (Hons)
Entry requirements
A level
A-levels must include Mathematics grade A. You should also have a broad range of GCSEs 9-4 (A*-C), including good grades in relevant subjects.
Pass Diploma with at least 39 level 3 credits at Merit or above including 21-24 credits at Distinction You will need A-level Mathematics, grade A, in addition to the Access to HE Diploma.
We take the EPQ into account when considering your application and it can be useful in the summer when your results are released if you have narrowly missed the conditions of your offer. We do not routinely include the EPQ in the conditions of your offer but we sometimes offer alternative conditions that include the EPQ. If you wish to discuss this further please contact Admissions at [email protected]
International Baccalaureate Diploma Programme
This score should be from the full IB Diploma. Higher Levels must include Mathematics, with a grade of 5. Mathematics: Analysis and Approaches or Mathematics: Applications and Interpretation at Higher Level will be accepted.
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
In addition to the BTEC Level 3 National Extended Diploma, you will need an A-level in Mathematics, grade A. You should also have a broad range of GCSEs 9-4 (A*-C), including good grades in relevant subjects.
Scottish Higher
A,B,B,B,B-A,A,B,B,B
Highers must include Mathematics, grade A.
UCAS Tariff
We've calculated how many Ucas points you'll need for this course.
About this course
Our society is built on data. There’s an increasing demand for people with skills in data analysis, programming and statistics. This course is for you if you want to become proficient in handling data, using computational and statistical methods to solve real-world data-intensive problems.
Sussex is home to Sussex Artificial Intelligence, one of our Centres of Excellence, and the Data-Intensive Science Centre (DISCUS). You’ll learn from experts:
- our mathematicians’ research is making world-changing impact – from modelling and controlling infectious diseases, to predicting floods and the behaviour of queues and social networks
- our computer scientists lead national and international research projects on machine learning, natural language processing and artificial intelligence.
Your teaching is based on our leading research. During your studies, you’ll explore the relationship between modern data science and statistics. You’ll:
- gain a thorough grounding in theories and techniques
- develop critical knowledge in programming and statistics, as well as analytical and modelling skills
- use industry-standard software such as Python and R
- learn how to handle and analyse large sets of data
- work with our researchers for your final-year project.
An academic adviser will guide you throughout your degree. You’ll have opportunities to engage with potential employers and to apply for a placement to gain experience working in industry. When you graduate, you’ll have the skills, knowledge and confidence to progress into roles such as data analyst, data engineer, business data analyst, database administrator, data scientist and software engineer.
**About Sussex**
Sussex graduates change the world. Our students become the leaders of the future, making discoveries, improving lives and changing things for the better.
Study with us to join a welcoming and inspiring community of staff and students from more than 140 countries.
**Location**
We shape the world from a fantastic campus on the UK’s beautiful south coast.
We are the only UK university surrounded by a national park, so you can step off campus to explore the hills and woodlands of the South Downs. The vibrant, colourful and creative seaside city of Brighton & Hove is just nine minutes away.
With Brighton voted the happiest city in England for students, (Student Living Survey, Sodexo, 2018) there can be few better places to study.
Modules
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Tuition fees
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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.
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
Assessment and feedback
Resources and organisation
Student voice
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
Statistics
Sorry, no information to show
This is usually because there were too few respondents in the data we receive to be able to provide results about the subject at this university.
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
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.
Top job areas of graduates
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.
Top job areas of graduates
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.
£27k
£33k
£43k
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.
£20k
£31k
£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.
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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?
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