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Data Science

Graduate Diploma

This diploma prepares graduates for a quantitative career in data science. Developed by LSE, it will enable you to become a competent and confident data modeller and interpreter, assisting management to make data-driven decisions.

It can also prepare you for future postgraduate study in the field.

Graduate Diplomas
Study Data Science anywhere in the world. See an introduction to the experience of studying a Graduate Diploma.

Studying this diploma, you will understand:

  • The techniques and subject matter of theoretical statistics and machine learning.
  • How to perform independent data analysis: selecting appropriate statistical methods for a given situation and drawing appropriate conclusions following empirical analysis to form the basis of managerial decision-making.
  • How to use statistical software to analyse datasets.

Course details

You complete four courses to complete the diploma.

View courses.

Application deadline 1 October 2018
Registration deadline 30 November 2018
ExaminationsMay and June

Study materials

We will send you study materials developed by academics appointed by LSE. These include a Programme Handbook of practical information (such as how to enter exams); a Subject Guide for each course; and past exam papers and commentaries, which give you valuable tips for performing well in exams.

Online support

When you register, we will give you access to your Student Portal. You can then access your University of London email account and two other key resources:

  • The Virtual Learning Environment (VLE). Here, you can access electronic copies of all printed study materials, resources including audio-visual and revision guides, and forums to discuss course material and work collaboratively with others.
  • The Online Library holds thousands of journal articles which you can access free of charge. A dedicated helpdesk is available if you have any difficulties in finding what you need.

Assessment

Each course is assessed by an unseen written exam, which is usually held in May or June. Some courses may also require you to submit coursework.

You can sit your exams at any approved centre around the world. These centres charge a fee for hosting the exams.

Your exam is set and assessed by academics at LSE, ensuring that your degree is of the same standard as those studying on-campus in London.

More about exams.

For access to this Graduate Diploma, you will need one of the following:

  • An acceptable Bachelor's degree, either in a quantitative subject or where you have passed at least 2 courses in satisfactory mathematical subjects.
  • An acceptable Master's degree (or any other appropriately accredited Level 7 award) of at least 1 year full-time duration, either in a quantitative subject or with at least 1 course in a satisfactory mathematical subject.
  • An acceptable Level 5 or Level 6 award (e.g. HND or Graduate Certificate) of at least 1 year full-time duration, either in a quantitative subject or with at least 2 courses in satisfactory mathematical subjects. You also need at least 2 years' relevant work experience.

Quantitative subjects

Acceptable quantitative degree/award titles include: Computer Science, Economics, Engineering, Finance, Mathematics, Medicine, Physics, Psychology, Quantitative Management, Quantitative Finance, and Social Sciences with Quantitative Methods or Statistics.

Mathematical subjects

Satisfactory mathematical subjects include: Algebra, Algorithms, Business Mathematics, Business Statistics, Calculus, Computer Mathematics, Differentials, Engineering Mathematics, Geometry, Mathematics, Quantitative Methods, Quantitative Techniques, Statistics or Trigonometry.

If you hold qualifications in subjects other than those listed, contact us for advice on eligibility before you apply online.

English Language requirements

You need to demonstrate a good level of English to be admitted to our programmes. We accept a range of evidence, including proficiency test scores. If you don’t have evidence but believe you can meet the standard, we may consider your case.

Do I meet the language requirements?

Computer requirements

We set minimum basic computer requirements because your study resources are accessed via the Student Portal and it is vital that you can access this regularly. For this degree, you will also need Adobe Flash Player to view video material and a media player (such as VLC) to play video files.

More about computer requirements.

The fees below relate to new students registering for the 2018-2019 session. These may be increased by up to 7% per annum.

Academic year2018-2019
Application fee (non-refundable)£92
Initial registration fee£935
Further registration fee for Law options (per course)£ 55
Examination entry fee per half course£141
Examination entry fee per full course£282
Continuing registration fee£427
Indicative total, Graduate Diploma£2,155

Disclaimer: Currency conversion tool.

Additional Costs

You will also need to budget for:

  • Textbooks (could extend to around £300 per year)
  • Tuition costs (if you choose to study at a local teaching centre)
  • Exam centre fees, which are paid directly to the venues where you sit your exams.

We accept most traditional payment methods, including debit/credit card, international money order, and Western Union.

How to pay your fees.

As the world becomes ever more data-driven, analytical skills are in high demand but very short supply. Few companies are exploiting quantitative techniques to their full potential, often due to a lack of in-house expertise.

By pursuing study in data science, graduates will be highly sought-after by employers as the race to gain a competitive edge in the data arena intensifies. From asset management to pharmaceuticals, retail to insurance, the future is bright for any aspiring data scientist.

This diploma could also help you to gain entry to master’s courses in this field.

What do employers think of our graduates?

In some countries, qualifications earned by distance and flexible learning may not be recognised by certain authorities or regulators for the purposes of public sector employment or further study. We advise you to explore the local recognition status before you register, even if you plan to receive support from a local teaching institution.

The London School of Economics and Political Science (LSE) provides academic direction for this programme. LSE is regarded as an international centre of academic excellence and innovation in the social sciences.

Academic co-ordinator

Professor Irini Moustaki is Professor in Social Statistics in the Department of Statistics at LSE. Professor Moustaki’s research focuses on the development of methodology and applications in the areas of education, psychology, behavioural sciences, cross-national studies, and epidemiological studies related to rare diseases. 

Without the cost of moving to London, studying for your University of London diploma anywhere in the world represents excellent value for money. However, there may be additional sources of support depending on where you live and how you choose to study.

More on funding your study.

About the LSE Summer School

LSE’s Summer School is the most well-established and the largest of its kind in the whole of Europe, with over 80 academically rigorous courses on offer. Each year over 6,000 students from 120 nations study at the LSE campus in the heart of Central London.

Courses are taught by LSE faculty and complement the content of this degree. If you complete two Summer School courses you may be able to claim Accreditation of Prior Learning equivalent to one course on the degree. As a student on this programme you will receive a 15% discount on tuition fees to attend the LSE Summer School.

More about the LSE summer school.