Program Overview

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Data Science, BSc Hons

Overview

This Data Science undergraduate course is designed to transform students with a strong mathematics background into accomplished professionals, ready to enter the growing field or pursue further specialisations.

Course Details

UCAS points

120 (view full requirements)

Course/institution codes

G190 G BSc/DS

Interested in a different year?

Select your preferred year of entry to view up to date information.

School

Computing and Mathematical Sciences

Location

Greenwich Campus

Duration

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

Start month

September

Home/international fees 2025/26

£9,535 / £17,500

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

Year 1

• Vectors and Matrices (15 credits)
• Mathematical Coding (15 credits)
• Calculus and Mathematical Analysis (30 credits)
• Discrete Mathematics (15 credits)
• Our Mathematical World (15 credits)
• Analysis of Data (15 credits)
• Probability and Randomness (15 credits)

Year 2

• Applications in AI and Data Science (15 credits)
• Big Data Analysis and Visualisation (15 credits)
• Linear Algebra and Differential Equations (30 credits)
• Operational Research: Linear Programming (15 credits)
• Vector Calculus (15 credits)
• Statistical Data Analysis and Time Series (30 credits)

Year 3

• Machine Learning (15 credits)
• Responsible Artificial Intelligence (15 credits)
• Optimisation Techniques (15 credits)
• Advanced Optimisation Techniques (15 credits)
• Linear Models and Statistical Inference (15 credits)

Students are required to choose 30 credits from this list of options.

• Research Methods and Mathematics Project (30 credits)
• Mathematics Work Placement (30 credits)

Students are required to choose 15 credits from this list of options.

• Financial Time Series (15 credits)
• Graph Theory and Applications (15 credits)
• Bayesian Methods and Their Applications (15 credits)

Entry requirements

UK citizens and permanent residents

• 120 UCAS Tariff points which include A Level Mathematics at grade C or another A Level at grade C in a numerate subject.
• Equivalent qualifications with UCAS Tariff points may be considered alongside the required subjects.

International entry requirements

The University of Greenwich accepts a broad range of international qualifications for admission to our courses.

How you will learn

Teaching

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

Class sizes

The typical student intake per year of Data Science courses averages 80-100.

Independent learning

Outside of timetabled sessions, you are also expected to dedicate time (around 24 hours per week) to self-study.

Overall workload

If you are studying full-time, you should expect the workload to be similar to a full-time job.

Assessment

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

Fees and funding

Tuition fees

Cohort | Full time | Part time | Distance learning
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Home* | £9,535 | £2,384 per 30 credits | N/A
International | £17,500 | £4,375 per 30 credits | N/A

Other costs

• Technology: There are no compulsory costs beyond your tuition fees.
• Software: We provide licenses for certain software to use on your own computers, depending on your course.

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.

How long is my placement?

Sandwich placements last for between 9-13 months.

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.

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.

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.