Data Science BSc (Hons)

Key information

Duration:
3 years full time
Start date:
September 2025
  • 95% of our research overall in Mathematical Sciences was assessed to be world leading or internationally excellent (REF 2021) 

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.

We understand that deciding where and what to study is a very important decision. We’ll make all reasonable efforts to provide you with the courses, services and facilities described in this prospectus. However, if we need to make material changes, for example due to government or regulatory requirements, or unanticipated staff changes, we’ll let you know as soon as possible.

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Entry requirements

Entry requirements for this course are currently under review – please check back in early March 2024.

Course content

Find out about our types of undergraduate degrees, their structure, modules and credits

Your degree

The first year of study will introduce you to the basics of mathematics and programming.

Teaching

Teaching methods typically include lectures and small-group workshops. Programming-based modules also incorporate sessions in computer laboratories.

81%: Lecture
10%: Seminar
9%: Practical

Assessment

Assessment methods typically include end-of-term examinations and coursework such as problem sheets, online quizzes and programming exercises.

13%: Coursework
87%: Examination

Contact hours and workload

This year of study includes approximately 1,200 hours of work. This breaks down into about 300 hours of contact time and about 900 hours of independent study.

 Engage and actively participate throughout your studies to get the most out of your course. 

Your modules

Core modules

Core modules are taken by all students on the course. They give you a solid grounding in your chosen subject and prepare you to explore the topics that interest you most.

We regularly review our modules to incorporate student feedback, staff expertise, as well as the latest research and teaching methodology. We’re planning to run these modules in the academic year 2024/25. However, there may be changes to these modules in response to feedback, staff availability, student demand or updates to our curriculum. We’ll make sure to let you know of any material changes to modules at the earliest opportunity.

We’ll do our best to provide as much optional choice as we can, but timetabling constraints mean it may not be possible to take some module combinations. The structure of a small number of courses means that the order of modules or the streams you choose may determine whether modules are core or optional. This means that your core modules or options may differ from what’s shown here.

Check back in January 2025 for more details of the modules running in the academic year 2025/26.

Your degree

In Year 2, you’ll consolidate your programming skills while adding statistics.

Teaching

Teaching methods typically include lectures and small-group workshops. Programming-based modules also incorporate sessions in computer laboratories.

70%: Lecture
18%: Seminar
12%: Practical

Assessment

Assessment methods typically include end-of-term examinations and coursework such as problem sheets, online quizzes and programming exercises.

62%: Coursework
38%: Examination

Contact hours and workload

This year of study includes approximately 1,200 hours of work. This breaks down into about 300 hours of contact time and about 900 hours of independent study.

Engage and actively participate throughout your studies to get the most out of your course. 

Your modules

Core modules

Core modules are taken by all students on the course. They give you a solid grounding in your chosen subject and prepare you to explore the topics that interest you most.

Options

Alongside your core modules, you can choose options to broaden your horizons and tailor your course to your interests. This list gives you a flavour of our options, which are kept under review and may change, for example in response to student feedback or the latest research.

While it’s our aim for students to take their preferred combinations of options, this can’t be guaranteed and will be subject to timetabling. Options may be grouped and if so, students will be able to choose a set number of options from the selection available in any particular group.

We regularly review our modules to incorporate student feedback, staff expertise, as well as the latest research and teaching methodology. We’re planning to run these modules in the academic year 2024/25. However, there may be changes to these modules in response to feedback, staff availability, student demand or updates to our curriculum. We’ll make sure to let you know of any material changes to modules at the earliest opportunity.

We’ll do our best to provide as much optional choice as we can, but timetabling constraints mean it may not be possible to take some module combinations. The structure of a small number of courses means that the order of modules or the streams you choose may determine whether modules are core or optional. This means that your core modules or options may differ from what’s shown here.

Check back in January 2025 for more details of the modules running in the academic year 2025/26.

Study abroad (optional)

Apply to study abroad – you’ll develop an international perspective and gain an edge when it comes to your career. Find out where your course could take you

If your application to study abroad is successful, you’ll have to meet the academic requirements at Sussex and also at the partner university. Find out more about studying abroad as a Sussex student

Placement (optional)

To help you gain experience and increase your employability, you can apply for an optional placement as part of your course. You’ll be responsible for applying for and securing your placement. Our dedicated careers team can provide you with information and advice. If you’re successful in obtaining a placement, this will form part of your course.

Find out more about placements and internships

Please note that if you’re receiving – or applying for – USA federal Direct Loan funds, you can’t transfer to the version of your course with an optional study abroad period in any country or optional placement in the USA if the number of credits for the placement/internship exceeds 25% of the total credits for your course. Find out more about American Student Loans and Federal Student Aid

Your degree

In Year 3, you’ll continue your study of statistics and data science, and choose topics that interest you most from a range of options. You’ll also pursue an individual research project, exploring a topic of your choice within Data Science.

Teaching

Teaching methods typically include lectures and small-group workshops. Programming-based modules also incorporate sessions in computer laboratories.

47%: Lecture
13%: Seminar
15%: Practical
25%: One-to-one

Assessment

Assessment methods typically include end-of-term examinations and coursework such as problem sheets, online quizzes and programming exercises. There’s also a written dissertation and presentation.

47%: Coursework
25%: Examination
4%: Practical
24%: Written assessment

Contact hours and workload

This year of study includes approximately 1,200 hours of work. This breaks down into about 230 hours of contact time and about 970 hours of independent study.

Engage and actively participate throughout your studies to get the most out of your course. 

Your modules

Core modules

Core modules are taken by all students on the course. They give you a solid grounding in your chosen subject and prepare you to explore the topics that interest you most.

Options

Alongside your core modules, you can choose options to broaden your horizons and tailor your course to your interests. This list gives you a flavour of our options, which are kept under review and may change, for example in response to student feedback or the latest research.

While it’s our aim for students to take their preferred combinations of options, this can’t be guaranteed and will be subject to timetabling. Options may be grouped and if so, students will be able to choose a set number of options from the selection available in any particular group.

We regularly review our modules to incorporate student feedback, staff expertise, as well as the latest research and teaching methodology. We’re planning to run these modules in the academic year 2024/25. However, there may be changes to these modules in response to feedback, staff availability, student demand or updates to our curriculum. We’ll make sure to let you know of any material changes to modules at the earliest opportunity.

We’ll do our best to provide as much optional choice as we can, but timetabling constraints mean it may not be possible to take some module combinations. The structure of a small number of courses means that the order of modules or the streams you choose may determine whether modules are core or optional. This means that your core modules or options may differ from what’s shown here.

Check back in January 2025 for more details of the modules running in the academic year 2025/26.

TEF 2023 silver

Silver

The student experience and student outcomes are typically very high quality.
This rating was awarded in 2023, for four years.
(Teaching Excellence Framework 2023)

Find out more about our approach to teaching and supporting you to thrive

Fees

Fees are not yet set for the academic year 2025/26 – please check back in September 2024. Note that your fees, once they’re set, may be subject to an increase on an annual basis.

Find out about typical living costs for studying at Sussex

Find out about our terms and conditions

Scholarships

Details of our scholarships are not yet set for entry in the academic year 2025/26.

Careers

During your degree, you have the support of an academic adviser. When you graduate, you’ll have the skills, knowledge and confidence to start your career in a wide range of roles, including:

  • data analyst
  • data engineer
  • business data analyst
  • database administrator
  • data scientist
  • software engineer.

You’ll also be well prepared for further study, such as a Masters degree.

Working while you study

Our Careers and Entrepreneurship team can help you find part-time work while you study. Find out more about career development and part-time work

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