Minimum entry requirements for MSc Data Science

Upper second class honours (2:1) degree or equivalent in a relevant discipline, including a substantial amount of mathematics.

Competition for places at the School is high. This means that even if you meet the minimum entry requirement, this does not guarantee you an offer of admission.

If you have studied or are studying outside of the UK then have a look at our Information for International Students to find out the entry requirements that apply to you.

We welcome applications from all suitable qualified prospective students and want to recruit students with the very best academic merit, potential and motivation, irrespective of their background.

We carefully consider each application on an individual basis, taking into account all the information presented on your application form, including your:

- academic achievement (including predicted and achieved grades)
- statement of academic purpose (see the note below)
- two academic references
- CV

See further information on supporting documents

You may also have to provide evidence of your English proficiency, although you do not need to provide this at the time of your application to LSE. See our English language requirements.

This programme is available as part of an ESRC-funded pathway onto a PhD programme. The 1+3 scheme provides funding for a one year research training master's linked to a PhD programme and is designed for students who have not already completed an ESRC recognised programme of research training. An application must be submitted for the relevant master’s programme, including a research proposal for the PhD aspect of the pathway. Applicants must also indicate their wish to be considered for the 1+3 pathway within their personal statement.

When to apply

Applications for this programme are considered on a rolling basis, meaning the programme will close once it becomes full. There is no fixed deadline by which you need to apply, however, to be considered for any LSE funding opportunity, you must have submitted your application and all supporting documents by the funding deadline. See the fees and funding section for more details. 

Statement of academic purpose requirements

Your statement of academic purpose should state why you want to do the programme applied for and why you have chosen LSE. Brief details of your academic background and aspirations are also useful. If your background is outside of mathematics or statistics then you should provide further explanation of how your experience is relevant to the programme applied for; as well as further details of your current studies.

If you are applying to study on a part-time basis, can you please ensure that you address the following in your statement of academic purpose:

• Your motivations to study part-time
• How you will balance the demands of studying with part-time work (if applicable)
• Confirmation that you have the support of your employer (if applicable).’

Your statement of academic purpose should be concise and should not exceed 500 words.

If you are applying for more than one choice in the Department of Statistics, it is recommended that you submit two separate statements of academic purpose. If the two programmes for which you are applying are very similar and you would prefer to combine the information in one statement then you may do so; however, please ensure that your statement clearly addresses your motivations for applying for each separate programme.

Every graduate student is charged a fee for their programme.

The fee covers registration and examination fees payable to the School, lectures, classes and individual supervision, lectures given at other colleges under intercollegiate arrangements and, under current arrangements, membership of the Students' Union. It does not cover living costs or travel or fieldwork.

Tuition fees 2024/25 for MSc Data Science

Home students: £35,472
Overseas students: £36,168

The Table of Fees shows the latest tuition amounts for all programmes offered by the School.

Fee status

The amount of tuition fees you will need to pay, and any financial support you are eligible for, will depend on whether you are classified as a home or overseas student, otherwise known as your fee status. LSE assesses your fee status based on guidelines provided by the Department of Education.

Further information about fee status classification.

Fee reduction

Students who completed undergraduate study at LSE and are beginning taught graduate study at the School are eligible for a fee reduction of around 10 per cent of the fee.

Scholarships and other funding

The School recognises that the cost of living in London may be higher than in your home town or country, and we provide generous scholarships each year to home and overseas students.

This programme is eligible for needs-based awards from LSE, including the Graduate Support Scheme, Master's Awards, and Anniversary Scholarships. 

Selection for any funding opportunity is based on receipt of an offer for a place and submitting a Graduate Financial Support application, before the funding deadline. Funding deadline for needs-based awards from LSE: 25 April 2024.

This programme is also eligible for  Economic and Social Research Council (ESRC) funding when you apply as part of a 1+3 research programme. Selection for the ESRC funding is based on receipt of an application for a place – including all ancillary documents, before the funding deadline.

Funding deadline for the ESRC funding: 15 January 2024.

In addition to our needs-based awards, LSE also makes available scholarships for students from specific regions of the world and awards for students studying specific subject areas. 

Government tuition fee loans and external funding

A postgraduate loan is available from the UK government for eligible students studying for a first master’s programme, to help with fees and living costs. Some other governments and organisations also offer tuition fee loan schemes.

Find out more about tuition fee loans

Further information

Fees and funding opportunities

LSE is an international community, with over 140 nationalities represented amongst its student body. We celebrate this diversity through everything we do.  

If you are applying to LSE from outside of the UK then take a look at our Information for International students. 

1) Take a note of the UK qualifications we require for your programme of interest (found in the ‘Entry requirements’ section of this page). 

2) Go to the International Students section of our website. 

3) Select your country. 

4) Select ‘Graduate entry requirements’ and scroll until you arrive at the information about your local/national qualification. Compare the stated UK entry requirements listed on this page with the local/national entry requirement listed on your country specific page.

You will take four compulsory courses, including a Capstone Project. You will also select optional courses to the value of one and a half units from a list of options.

The Capstone Project will provide you with the opportunity to study in depth a topic of specific interest. The topic may be identified from a list supplied by the Department or may be proposed by you. The topic will normally relate to a specific data source or sources and will require the use of data science skills learnt on the programme. The topic for a Capstone Project will be similar to that for the kinds of data-based issues faced in practice by private or public sector organisations. The focus is likely to be practical and there may be the opportunity to liaise with such an organisation during the project to ensure the project has practical relevance. A Capstone Project will be more academic; it will refer to a research literature and address a research question, building on that literature and using the data source(s). 

(* denotes a half unit)

Managing and Visualising Data*
Focuses on data structures and databases, covering methods for storing and structuring data, relational and non-relational databases and query languages. The second part focuses on visualising data, including best practices for visualising univariate, bivariate, graph and other types of data as well as visualising various statistics for predictive analytics and other tasks. 

Data Analysis and Statistical Methods*
This course will provide an introduction to methods of statistics and data analysis. The statistical software R will constitute an integral part of the course, providing hands-on experience of data analysis. 

Machine Learning and Data Mining*
Begins with the classical statistical methodology of linear regression and then build on this framework to provide an introduction to machine learning and data mining methods from a statistical perspective. 

Capstone Project
An in-depth study on an approved topic of your choice. 

Optional courses to the value of one and a half full units from an approved list

^ students who can demonstrate equivalent prior knowledge of this course, via transcripts of prior qualifications, may skip this course and take a further half unit of options from the options list 

To find the most up-to-date list of optional courses please visit the relevant School Calendar page. 

You must note, however, that while care has been taken to ensure that this information is up to date and correct, a change of circumstances since publication may cause the School to change, suspend or withdraw a course or programme of study, or change the fees that apply to it. The School will always notify the affected parties as early as practicably possible and propose any viable and relevant alternative options. Note that the School will neither be liable for information that after publication becomes inaccurate or irrelevant, nor for changing, suspending or withdrawing a course or programme of study due to events outside of its control, which includes but is not limited to a lack of demand for a course or programme of study, industrial action, fire, flood or other environmental or physical damage to premises.

You must also note that places are limited on some courses and/or subject to specific entry requirements. The School cannot therefore guarantee you a place. Please note that changes to programmes and courses can sometimes occur after you have accepted your offer of a place. These changes are normally made in light of developments in the discipline or path-breaking research, or on the basis of student feedback. Changes can take the form of altered course content, teaching formats or assessment modes. Any such changes are intended to enhance the student learning experience. You should visit the School’s Calendar, or contact the relevant academic department, for information on the availability and/or content of courses and programmes of study. Certain substantive changes will be listed on the updated graduate course and programme information page.

Contact hours and independent study

Within your programme you will take a number of courses, often including half unit courses and full unit courses. In half unit courses, on average, you can expect 20-30 contact hours in total and for full unit courses, on average, you can expect 40-60 contact hours in total. This includes sessions such as lectures, classes, seminars or workshops. Hours vary according to courses and you can view indicative details in the Calendar within the Teaching section of each course guide.

You are also expected to complete independent study outside of class time. This varies depending on the programme, but requires you to manage the majority of your study time yourself, by engaging in activities such as reading, note-taking, thinking and research.

Teaching methods

LSE is internationally recognised for its teaching and research and therefore employs a rich variety of teaching staff with a range of experience and status. Courses may be taught by individual members of faculty, such as lecturers, senior lecturers, readers, associate professors and professors. Many departments now also employ guest teachers and visiting members of staff, LSE teaching fellows and graduate teaching assistants who are usually doctoral research students and in the majority of cases, teach on undergraduate courses only. You can view indicative details for the teacher responsible for each course in the relevant course guide.

Assessment

All taught courses are required to include formative coursework which is unassessed. It is designed to help prepare you for summative assessment which counts towards the course mark and to the degree award.

The programme will incorporate diverse forms of summative assessment, including some conventional assessment by written examination in Spring Term, but also a range of other kinds of assessment of varying size, reflecting the fundamentally computational nature of the subject matter.

There will be shorter take-home exams for which an invigilated exam would be unrealistic given the computer applications involved. There will be smaller projects, both individual-based and group-based, which enable practical problem-based learning to take place.

Finally, the capstone project/dissertation will assess your ability to take on large-scale data-based problem solving.

An indication of the formative coursework and summative assessment for each course can be found in the relevant course guide.

Academic support

You will also be assigned an academic mentor who will be available for guidance and advice on academic or personal concerns.

There are many opportunities to extend your learning outside the classroom and complement your academic studies at LSE. LSE LIFE is the School’s centre for academic, personal and professional development. Some of the services on offer include: guidance and hands-on practice of the key skills you will need to do well at LSE: effective reading, academic writing and critical thinking; workshops related to how to adapt to new or difficult situations, including development of skills for leadership, study/work/life balance and preparing for the world of work; and advice and practice on working in study groups and on cross-cultural communication and teamwork.

LSE is committed to enabling all students to achieve their full potential and the School’s Disability and Wellbeing Service provides a free, confidential service to all LSE students and is a first point of contact for all disabled students.

We’re here to help and support you throughout your time at LSE, whether you need help with your academic studies, support with your welfare and wellbeing or simply to develop on a personal and professional level.

Whatever your query, big or small, there are a range of people you can speak to who will be happy to help.  

Department librarians – they will be able to help you navigate the library and maximise its resources during your studies. 

Accommodation service – they can offer advice on living in halls and offer guidance on private accommodation related queries.

Class teachers and seminar leaders – they will be able to assist with queries relating to specific courses. 

Disability and Wellbeing Service – they are experts in long-term health conditions, sensory impairments, mental health and specific learning difficulties. They offer confidential and free services such as student counselling, a peer support scheme and arranging exam adjustments. They run groups and workshops. 

IT help – support is available 24 hours a day to assist with all your technology queries.  

LSE Faith Centre – this is home to LSE's diverse religious activities and transformational interfaith leadership programmes, as well as a space for worship, prayer and quiet reflection. It includes Islamic prayer rooms and a main space for worship. It is also a space for wellbeing classes on campus and is open to all students and staff from all faiths and none.  

Language Centre – the Centre specialises in offering language courses targeted to the needs of students and practitioners in the social sciences. We offer pre-course English for Academic Purposes programmes; English language support during your studies; modern language courses in nine languages; proofreading, translation and document authentication; and language learning community activities.

LSE Careers ­– with the help of LSE Careers, you can make the most of the opportunities that London has to offer. Whatever your career plans, LSE Careers will work with you, connecting you to opportunities and experiences from internships and volunteering to networking events and employer and alumni insights. 

LSE Library – founded in 1896, the British Library of Political and Economic Science is the major international library of the social sciences. It stays open late, has lots of excellent resources and is a great place to study. As an LSE student, you’ll have access to a number of other academic libraries in Greater London and nationwide. 

LSE LIFE – this is where you should go to develop skills you’ll use as a student and beyond. The centre runs talks and workshops on skills you’ll find useful in the classroom; offers one-to-one sessions with study advisers who can help you with reading, making notes, writing, research and exam revision; and provides drop-in sessions for academic and personal support. (See ‘Teaching and assessment’). 

LSE Students’ Union (LSESU) – they offer academic, personal and financial advice and funding. 

PhD Academy – this is available for PhD students, wherever they are, to take part in interdisciplinary events and other professional development activities and access all the services related to their registration. 

Sardinia House Dental Practice – this offers discounted private dental services to LSE students. 

St Philips Medical Centre – based in Pethwick-Lawrence House, the Centre provides NHS Primary Care services to registered patients.

Student Services Centre – our staff here can answer general queries and can point you in the direction of other LSE services.  

Student advisers – we have a Deputy Head of Student Services (Advice and Policy) and an Adviser to Women Students who can help with academic and pastoral matters.

As a student at LSE you’ll be based at our central London campus. Find out what our campus and London have to offer you on academic, social and career perspective. 

Student societies and activities

Your time at LSE is not just about studying, there are plenty of ways to get involved in extracurricular activities. From joining one of over 200 societies, or starting your own society, to volunteering for a local charity, or attending a public lecture by a world-leading figure, there is a lot to choose from. 

The campus 

LSE is based on one campus in the centre of London. Despite the busy feel of the surrounding area, many of the streets around campus are pedestrianised, meaning the campus feels like a real community. 

Life in London 

London is an exciting, vibrant and colourful city. It's also an academic city, with more than 400,000 university students. Whatever your interests or appetite you will find something to suit your palate and pocket in this truly international capital. Make the most of career opportunities and social activities, theatre, museums, music and more. 

Want to find out more? Read why we think London is a fantastic student city, find out about key sights, places and experiences for new Londoners. Don't fear, London doesn't have to be super expensive: hear about London on a budget. 

Quick Careers Facts for the Department of Statistics

Median salary of our PG students 15 months after graduating: £38,000

Top 5 sectors our students work in:

• Financial and Professional Services              
• Information, Digital Technology and Data            
• FMCG, Manufacturing and Retail              
• Accounting and Auditing              
• Government, Public Sector and Policy

The data was collected as part of the Graduate Outcomes survey, which is administered by the Higher Education Statistics Agency (HESA). Graduates from 2020-21 were the fourth group to be asked to respond to Graduate Outcomes. Median salaries are calculated for respondents who are paid in UK pounds sterling and who were working in full-time employment.

Data scientists are much in demand across industry, including a variety of Internet online service companies, marketers, banks, investment management, and other financial companies. 

Data scientist positions involve a wide range of responsibilities; such as conducting exploratory data analysis, applying statistical methodologies, deriving business insights from data, partnering with company executives, product and engineering teams to solve problems, identify trends and opportunities, inform, influence, support, and execute product decisions and launches.

Further information on graduate destinations for this programme

Support for your career

Many leading organisations give careers presentations at the School during the year, and LSE Careers has a wide range of resources available to assist students in their job search. Find out more about the support available to students through LSE Careers.

Discover more about being an LSE student - meet us in a city near you, visit our campus or experience LSE from home. 

Experience LSE from home

Webinars, videos, student blogs and student video diaries will help you gain an insight into what it's like to study at LSE for those that aren't able to make it to our campus. Experience LSE from home. 

Visit LSE

Come on a guided campus tour, attend an undergraduate open day, drop into our office or go on a self-guided tour. Find out about opportunities to visit LSE. 

LSE visits you

Student Marketing, Recruitment and Study Abroad travels throughout the UK and around the world to meet with prospective students. We visit schools, attend education fairs and also hold Destination LSE events: pre-departure events for offer holders. Find details on LSE's upcoming visits.