Data Science, BSc Hons
Çï¿ûÊÓƵ 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.
UCAS points
72 (full requirements below)
Course/institution codes
G190 G BSc/DS
Interested in a different year?
Select your preferred
to view up to date information.
Location
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
What you will study
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.
Clearing entry requirements
Typical UCAS points for Clearing entry: 72
We will consider points from a number of different Level 3 qualifications including: A Levels, T Levels, BTEC/National Diploma, International Baccalaureate, Access courses, and an array of other/ international qualifications. Additional requirements may be needed.
Please call our Clearing Line or join live chat now to discuss your options.
If you don’t meet the criteria, please do speak to one of our clearing advisors by calling our Clearing Line or join Live Chat now to discuss your options.
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
Teaching
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 .
Assessment
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.
Cohort | 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.
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.
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.
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.
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 Çï¿ûÊÓƵ
Discover the possibilities of technology at Greenwich, where courses shape students from undergraduate to postgraduate levels. Covering some of the most relevant industry topics, such as cybersecurity and artificial intelligence.
Visit our computer science degrees page.
Computer science degrees
Mathematics at the Çï¿ûÊÓƵ
Taught in the heart of historic Greenwich, our mathematics courses blend theory with its practical application and have a particular focus on employability.
Visit our mathematics degrees page.
Mathematics degrees
Mode of study
Select from the dropdown below.
Course level | |
UCAS code | |
Duration | |
Location |