Next Open Day – 22 June

Book now

Next Open Day – 22 June

Book now

Undergraduate courses 2024/25

Data Science, BSc Hons

Explore our course, shaping mathematically inclined students into skilled data scientists for diverse careers or specialised studies in data science, data analytics, and related fields.

Enter the exciting world of data science with our BSc (Hons) Data Science course. This three year course is tailored to transform prospective students with good mathematics background into accomplished data scientists who are well-placed to enter data science  careers with an expansive set of data science skills  or to pursue further data science specialisations.

Our BSc degree in Data Science is designed to provide you with a solid grounding in mathematics and statistics that underpins data science theory and practice. You will learn about many interesting topics in modern mathematics and data science and be able to apply your data handling skills to real-world problems in a variety of applied fields. You will learn many practical skills that will enable you to critically analyse, solve and evaluate data-heavy problems – skills that are vital for both employment and further studies.

You can choose from a number of optional modules in different applications of data science, enabling you to tailor the course to your areas of interest and career aspirations. You will see how your existing skills can be complemented and enhanced by the acquisition of data science knowledge. Graduates pursue careers in private and public companies, government, and non-governmental organisations.

Location

Greenwich Campus

Duration

  • 3 years full-time
  • 6 years part-time
  • 4 years sandwich

Start month

September

Home/international fees 2024/25

£9,250 /£17,000

What you should know about this course

  • Study a course with a heightened focus on mathematical and statistical aspect of the data science field.
  • You will learn advanced programming, machine learning and artificial intelligence.
  • This course is specifically aimed at providing you with a wider knowledge, expertise, skills and understanding of the fast growing data science field.

What you will study

Loading...

Course information is currently unavailable for this programme. Please contact course-info@gre.ac.uk for more information.

About the course team

You will be taught by an experienced team, which includes senior academics and practitioners with broad industry insights. Trained postgraduate researchers may also contribute to lab/tutorial teaching with the module leader. Our research and consultancy work informs academics.

Come and meet us

We are offering virtual events so that you can still experience how Greenwich could be the right university for you.

Next Open Days

Got a question?

To find out more about our Open Days and Campus Tours or if you need any assistance, please email opendays@gre.ac.uk.

Entry requirements

If you are

  • 120 UCAS Tariff points which must include A Level Mathematics at grade C. Equivalent qualifications with UCAS Tariff points may be considered alongside the A Level in Mathematics.
  • In addition, you will need: GCSE Mathematics at grade 4/C and GCSE English Language/Literature at grade 4/C. Equivalent qualifications may be considered.

We make Contextual offers to this programme. Applicants that meet specific eligibility criteria will be made a contextual offer with a reduced tariff of up to 16 UCAS Tariff points. Other entry requirements such as GCSEs, Interview, etc., will still need to be met. For further information, please see our Contextual Admissions policy.

For more information, contact courseinfo@greenwich.ac.uk or 020 8331 9000.

You can also read our admissions policy.

The University of Greenwich accepts a broad range of international qualifications for admission to our courses. If you cannot find your country on this list, please contact international@gre.ac.uk.

Choose your country:

Available to overseas students?

Yes

Can I use Prior Learning?

For entry: applicants with non-traditional qualifications or other professional experience will be considered on a case-by-case basis.

For exemption: If you hold qualifications or courses from another higher education institution, these may exempt you from modules of this degree.

How you will learn

The following data is based on the compulsory modules for this programme.*

* Compiled from modules taught on 2023-2024 courses.

Teaching

In a typical week learning takes place through a combination of:

Learning takes place through a combination of timetabled learning and independent study.

You can view more information about how each module is taught within our 'What you will study' section.

Seminars and workshops enable you to discuss and develop your understanding of topics covered in lectures in smaller groups. You will also be able to meet your personal tutor. Timetabled learning may fall between 9am and 9pm depending on your courses and tutorials.

Class sizes

The typical student intake per year of Data Science courses averages 80-100. Lectures are typically attended in large groups and labs/tutorials by smaller groups. This can vary more widely for modules that are shared between degree courses.

Independent learning

Outside of timetabled sessions, you are also expected to dedicate time (around 24 hours per week) to self-study. This may involve further reading and research, preparing coursework and presentations, and preparing for tests and exams. Our facilities are designed to support you in these activities.

You can use Stockwell Street library and online resources to support further reading and research.

Overall workload

If you are studying full-time, you should expect the workload to be similar to a full-time job. For part-time students, this will reduce in proportion with the number of courses you are studying.

Each module you study towards this degree is worth 15 or 30 credits. These represent around 150 or 300 study hours respectively. If you receive 72 contact hours for a 30-credit module, you should expect to commit 228 hours to independent study to complete it successfully.

In addition, during the week you can also:

  • Attend additional support classes in some modules
  • Attend guest lectures from industry experts
  • Take part in employability and enterprise workshops
  • Join student societies.

Assessment

Students are assessed through a combination of assessment methods depending on the modules chosen.

You can view how each module is assessed within our 'What you will study' section.

Each course has formal assessments which count towards your grade. Some courses may also include 'practice' assignments, which help you monitor progress and do not count towards your final grade.

Feedback summary

We aim to give feedback on assignments within 15 working days.

Dates and timetables

The academic year runs from September to June.

Full teaching timetables are not usually available until term has started. For any queries, please call 020 8331 9000.

Official statistics on Discover Uni

Full time

Part time

Fees and funding

Your time at university should be enjoyable, rewarding, and free of unnecessary stress. Planning your finances before you come to university can help to reduce financial concerns. We can offer advice on living costs and budgeting, as well as on awards, allowances and loans.

Full time Part time Distance learning
Home £9,250 £2,312 per 30 credits N/A
International £17,000 £4,250 per 30 credits N/A

Accommodation costs

Whether you choose to live in halls of residence or rent privately, we can help you find what you're looking for. University accommodation is available from £126.35 per person per week (bills included), depending on your location and preferences. If you require more space or facilities, these options are available at a slightly higher cost.

Accommodation pages

Funding your study

There is a range of financial support options available to support your studies, including the Aspire@Greenwich award for study resources that many full-time students will receive.

EU students may be eligible for a bursary to support their study. View our EU bursary to find out more.

Discover more about grants, student loans, bursaries and scholarships. We also provide advice and support on budgeting, money management and financial hardship.

Financial support

Technology: There are no compulsory costs beyond your tuition fees. However, we may recommend that you purchase a backup device (such as a portable hard drive).

Software: We provide licenses for certain software to use on your own computers, depending on your course. This may include Virtual Desktop access, Tableau Desktop, Microsoft Azure Devtools for Teaching (including Visio, Project, SQL Server, etc). You will also have access to Nvivo, SPSS Modeler and SPSS Amos. Any licenses for software outside of our range will come at your own cost.

Careers and placements

Will I have a work placement?

This course can be taken in sandwich mode, which means you can take a year to work in industry between your second and final years of study. Sandwich placements are relevant to your degree subject and are paid roles. It is the very best way of preparing you for successfully finding a job quickly when you graduate.

You will also have the option to select a module for which you will be required to undertake a short-term placement. The module will be assessed on your reflection on this placement and how you can apply your knowledge to the workplace. Many placements are found through our network of industry contacts, and students are supported in securing these.

For those students who are interested in pursuing a career in teaching you also have the option to select a module for which you will be required to undertake a short-term placement in a school or college.

How long is my placement?

Sandwich placements last for between 9-13 months. Work-based learning module placements are normally one day a week for either one or two terms depending on the number of credits available from the module.

What are the financial arrangements?

Sandwich placements are paid roles whereas work-based learning module placements are normally unpaid.

What sort of careers do graduates pursue?

Students from Data Sciences have secured placement years at the Department for Work & Pensions, NHS England, NATS, Home Office, HMRC, Department of Health, GSK, Intel and Lloyds Banking Group.

Career opportunities for this course are varied. Most industries are always on the lookout for graduates with intellectual, mathematical and numerical skills that can be applied to a wide range of practical situations.

You may choose to work in a variety of fields such as statistical modelling, operational research, research, internet technology, the pharmaceutical industry, accounting, banking, the Civil Service, teaching, logistics, consultancy, actuarial science, risk management and marketing.

Are internships available?

Students are encouraged to take up Summer internships during the Summer holidays, though it is up to the student to find them. Support is available to students from the Employability and Careers Service when applying for placements and internships.

Do you provide employability services?

Employability activities take place all the time at Greenwich and students are encouraged to take part in as many opportunities as possible. The central Employability and Careers Service provides support for students preparing to apply for placements and graduate roles, such as CV clinics, mock interviews and employability skills workshops. In addition, your School has a dedicated Employability Officer who will be organising work-related activities throughout the year which will help you to build you industry knowledge and networks.

More about careers.

Support and advice

Academic skills and study support

We want you to make the most of your time with us. You can access study skills support through your tutor, our subject librarians, and our online academic skills centre.

Where appropriate, we provide support in academic English and mathematics. If you need to use particular IT packages for a specific module, we provide training for this.

Accommodation information

Skip image gallery

Not quite what you were looking for?

We've got plenty of other courses for you to choose from. Browse our undergraduate courses or check our related courses below.....

Computer science at the University of Greenwich

Discover a new side to technology at Greenwich, where courses include degrees covering some of the most advanced topics, such as cybersecurity, and artificial intelligence. Alternatively, you could study a foundation course at a partner college.

Visit our computer science degrees page.

Guy Penwill, Oscar winner


Two-time Academy Award winner, Guy Penwill, has worked on films such as Interstellar, Ex Machina and various Avengers movies.

Mode of study

Select from the dropdown below.

Course level
UCAS code
Duration
Location

Apply now

If you are a UK student or have settled/pre-settled status (EU) and you want to study full-time then you apply through the Universities and Colleges Admission Service (UCAS).

If you are a UK student or have settled/pre-settled status (EU) and you want to study part-time then you can apply directly via our online application form.

If you are from outside the UK, you can apply via UCAS, directly via our online application form or via one of our in-country representatives. If you require a student visa, you cannot study part-time at undergraduate level.