Data Science
University of Brighton
UCAS Code: G200 | Bachelor of Science (with Honours) - BSc (Hons)
University of Brighton
UCAS Code: G200 | Bachelor of Science (with Honours) - BSc (Hons)
Entry requirements
A level
Access to HE Diploma
Pass with 60 credits overall. Level 3 units in mathematics, programming or statistics preferred. At least 45 credits at level 3, with 24 credits at merit or above.
International Baccalaureate Diploma Programme
Must include 3 subjects at higher level.
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
T Level
UCAS Tariff
About this course
This course has alternative study modes. Contact the university to find out how the information below might vary.
**Data scientists extract valuable insights from big sets of data across many different industries, helping organisations to make informed decisions and gain a competitive advantage.**
Our Data Science degree will equip you with the statistical and computer science skills you need for a career in this innovative, growing industry. You’ll learn statistics, machine learning, computing, databases and maths and develop technical expertise using specialist software. Individual projects, teamwork and communicating your ideas help you gain professional skills important in the workplace.
**TOP REASONS TO CHOOSE THIS COURSE**
- Developed with industry partners with your career in mind.
- Opportunity to take the SAS programming certification exam, highly sought after by employers.
- Option of a paid placement year to build your confidence and gain valuable work and networking experience. Summer internships are also available.
- Specialist software used in industry including SAS, R, SGL, Python and platforms such as AWS.
- Opportunity to work with industry partners on your final year project.
- Staff are active researchers, bringing opportunities to get involved in research projects.
- Based in one of the most important cities in the UK for digital technology businesses offering networking and career opportunities.
Modules
Year 1
Managing Systems and Operations
Introduction to Data Analysis with SAS
Computing Technologies
Fundamentals of Programming
Mathematical Foundations
Introduction to Statistics
Year 2
Linear Algebra and Further Calculus
Database Management Systems
Programming for Data Science
Applied Machine Learning
Applied Statistical Modelling
Communicating Data
Final year
Data Science Project
Options*
Advanced Artificial Intelligence
Data Mining
Time Series and Forecasting Models
Advanced Statistical Modelling
Natural Language Understanding
Medical Statistics for Data Science
*Option modules are indicative and may change, depending on timetabling and staff availability.
Tuition fees
Select where you currently live to see what you'll pay:
The Uni
Brighton
School of Architecture, Technology and Engineering
What students say
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.
Information systems
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.
Information systems
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
Information systems courses cover a range of areas, including information design, modelling and the finance industry. How well graduates did made a particular difference in 2015 — computing graduates with good grades were much less likely to be out of work after six months. Most students do get jobs, though, and starting salaries are good — particularly in London, and that’s where over a quarter of graduates started work last year. This is also a good degree to take if you want to follow a technical role in the finance or advertising industry. Many jobs for this degree were found in the larger cities last year and opportunities may be more limited outside those areas.
What about your long term prospects?
Looking further ahead, below is a rough guide for what graduates went on to earn.
Information systems
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£23k
£32k
£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.
Explore these similar courses...
Higher entry requirements
Lower entry requirements
Nearby UniversitySame UniversityThis is what the university has told Ucas about the criteria they expect applicants to satisfy; some may be compulsory, others may be preferable.
Have a question about this info? Learn more here
This is the percentage of applicants to this course who received an offer last year, through Ucas.
Have a question about this info? Learn more here
This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.
Have a question about this info? Learn more here
Course location and department:
This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.
Have a question about this info? Learn more here
Teaching Excellence Framework (TEF):
We've received this information from the Department for Education, via Ucas. This is how the university as a whole has been rated for its quality of teaching: gold silver or bronze. Note, not all universities have taken part in the TEF.
Have a question about this info? Learn more here
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.
Have a question about this info? Learn more here
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.
Have a question about this info? Learn more here
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.
Have a question about this info? Learn more here
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
Have a question about this info? Learn more here
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
