BSc Data Science
London, United Kingdom
DURATION
3 up to 6 Years
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Sep 2025
TUITION FEES
GBP 17,000 / per year *
STUDY FORMAT
On-Campus
* full-time international | home £9,250 per year
Introduction
Explore our course, shaping mathematically inclined students into skilled data scientists for diverse careers or specialized 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 backgrounds 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 specializations.
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 analyze, solve, and evaluate data-heavy problems – skills that are vital for both employment and further studies.
You can choose from several 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 organizations.
What you should know about this course
- Study a course with a heightened focus on mathematical and statistical aspects 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.
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Admissions
Scholarships and Funding
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 studies.
Discover more about grants, student loans, bursaries and scholarships. We also provide advice and support on budgeting, money management, and financial hardship.
Curriculum
Indicative Modules
Year 1
Students are required to study the following compulsory modules:
- Introduction to Data Science (15 credits)
- Calculus and Mathematical Analysis (30 credits)
- Vectors and Matrices (15 credits)
- Mathematical Coding (15 credits)
- Analysis of Data (15 credits)
- Probability and Randomness (15 credits)
- Discrete Mathematics (15 credits)
Year 2
Students are required to study the following compulsory modules:
- Linear Algebra and Differential Equations (30 credits)
- Operational Research: Linear Programming (15 credits)
- Statistical Data Analysis and Time Series (30 credits)
- Vector Calculus (15 credits)
- Applications in AI and Data Science (15 credits)
- Big Data Analysis and Visualisation (15 credits)
Year 3
Students are required to study the following compulsory modules:
- Linear Models and Statistical Inference (15 credits)
- Optimisation Techniques (15 credits)
- Advanced Optimisation Techniques (15 credits)
- Machine Learning (15 credits)
- Responsible AI (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:
- Bayesian Methods and Their Applications (15 credits)
- Financial Time Series (15 credits)
- Graph Theory and Applications (15 credits)
Program Tuition Fee
Career Opportunities
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.
Program Leaders
Program Admission Requirements
Show your commitment and readiness for Grad school by taking the GRE - the most broadly accepted exam for graduate programs internationally.