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Bachelor of Science (with Honours) - BSc (Hons)

Data Science

Entry requirements

Here's what you will need to get a place on the Data Science course at London School of Economics.

Select a qualification to see required grades

A level

A*,A,A

A* in Mathematics is required

Course summary

What this course is about

UCAS code: N3UD

Here's what London School of Economics says about its Data Science course.

Our BSc Data Science brings together the study of data science, machine learning, statistics and mathematics – with an emphasis on their real-world applications and impact on economics and society.

The programme has a strong mathematical focus. You’ll learn about the properties of data, how to extract insights from data, and how to report the results. As you progress, you’ll build your understanding of classical and modern data analytics techniques, modelling, statistical machine learning, and AI. You’ll learn how to carry out typical workflows in data analytics, make inferences based on statistical data and become proficient in computer programming for data science.

Data scientists are in high demand in the private and public sectors. By the time you graduate, you’ll have all the practical skills and theoretical knowledge to progress to a career in areas such as banking, financial services and healthcare.

Source: London School of Economics

Course details

Qualification

Bachelor of Science (with Honours) - BSc (Hons)

Department

Statistics

Location

London School of Economics and Political Science | London

Duration

3 Years

Study mode

Full-time

Subjects

• Mathematics

• Statistics

Start date

28 September 2026

Application deadline

14 January 2026

Tuition fees

LocationFees
England£9,535 per year (provisional)
Scotland£9,535 per year (provisional)
Wales£9,535 per year (provisional)
Northern Ireland£9,535 per year (provisional)
Channel Islands£9,535 per year (provisional)
Republic of Ireland£9,535 per year (provisional)
EU£29,200 per year (provisional)
International£29,200 per year (provisional)

London School of Economics student reviews

(3.9)
Based on 54 reviews from London School of Economics's students and alumni
5 star
32%
4 star
34%
3 star
21%
2 star
9%
1 star
4%
All reviews

Showing 49 reviews

2nd year

Economic history

6 months ago

Night life surprisingly active; you just have to make sure to make friends in halls / course / sports. Sports particularly socially active.

(5)
University life

2nd year

Economic history

6 months ago

Expensive university but with v. good job prospects so not too worried

(5)
Finance

1st year student

1 year ago

Wide variety of societies available, I've found that the sports societies have been the best

(4)
Student Union

1st year student

1 year ago

It's quite good if you get stuck in, I would say that if you don't really put yourself out there then you could feel very lonely very fast.

(4)
University life

1st year student

1 year ago

It is in London which is obviously quite expensive and I was never really eligible for financial support

(3)
Finance

1st year student

1 year ago

Didn't really need much

(5)
Support

National Student Survey (NSS) scores at London School of Economics

The NSS is an annual survey where final-year students are asked to rate different aspects of their course and university experience.

The Data Science course at London School of Economics features content from more than one subject area. Using the options below, you can see ratings from students who took courses in each of these subject areas at this uni

Mathematics
Statistics

Select an option to see a detailed breakdown

How often does your course challenge you to achieve your best work?

93%

high

How good are teaching staff at explaining things?

84%

low

How often do teaching staff make the subject engaging?

70%

low

How often is the course intellectually stimulating?

90%

med

To what extent have you had the chance to bring together information and ideas from different topics?

87%

med

How well does your course introduce subjects and skills in a way that builds on what you have already learned?

85%

low

How well has your course developed your knowledge and skills that you think you will need for your future?

81%

med

To what extent have you had the chance to explore ideas and concepts in depth?

87%

med

To what extent does your course have the right balance of directed and independent study?

66%

low

How well have assessments allowed you to demonstrate what you have learned?

72%

low

How fair has the marking and assessment been on your course?

73%

low

How often does feedback help you to improve your work?

70%

med

How often have you received assessment feedback on time?

82%

med

How clear were the marking criteria used to assess your work?

58%

low

How easy was it to contact teaching staff when you needed to?

87%

low

How well have teaching staff supported your learning?

84%

low

How well were any changes to teaching on your course communicated?

79%

low

How well organised is your course?

79%

low

How well have the IT resources and facilities supported your learning?

90%

med

How well have the library resources (e.g., books, online services and learning spaces) supported your learning?

89%

med

How easy is it to access subject specific resources (e.g., equipment, facilities, software) when you need them?

91%

med

How clear is it that students' feedback on the course is acted on?

59%

low

To what extent do you get the right opportunities to give feedback on your course?

86%

med

To what extent are students' opinions about the course valued by staff?

72%

low

How well does the students' union (association or guild) represent students' academic interests?

74%

med

During your studies, how free did you feel to express your ideas, opinions, and beliefs?

83%

low

How well communicated was information about your university/college's mental wellbeing support services?

82%

med

Select an option to see a detailed breakdown

How often does your course challenge you to achieve your best work?

94%

high

How good are teaching staff at explaining things?

84%

low

How often do teaching staff make the subject engaging?

71%

med

How often is the course intellectually stimulating?

90%

med

To what extent have you had the chance to bring together information and ideas from different topics?

84%

med

How well does your course introduce subjects and skills in a way that builds on what you have already learned?

81%

low

How well has your course developed your knowledge and skills that you think you will need for your future?

78%

med

To what extent have you had the chance to explore ideas and concepts in depth?

86%

med

To what extent does your course have the right balance of directed and independent study?

70%

med

How well have assessments allowed you to demonstrate what you have learned?

68%

low

How fair has the marking and assessment been on your course?

66%

low

How often does feedback help you to improve your work?

70%

med

How often have you received assessment feedback on time?

72%

med

How clear were the marking criteria used to assess your work?

60%

low

How easy was it to contact teaching staff when you needed to?

88%

med

How well have teaching staff supported your learning?

84%

low

How well were any changes to teaching on your course communicated?

80%

med

How well organised is your course?

75%

low

How well have the IT resources and facilities supported your learning?

94%

high

How well have the library resources (e.g., books, online services and learning spaces) supported your learning?

88%

med

How easy is it to access subject specific resources (e.g., equipment, facilities, software) when you need them?

90%

med

How clear is it that students' feedback on the course is acted on?

62%

med

To what extent do you get the right opportunities to give feedback on your course?

87%

med

To what extent are students' opinions about the course valued by staff?

76%

med

How well does the students' union (association or guild) represent students' academic interests?

74%

med

During your studies, how free did you feel to express your ideas, opinions, and beliefs?

84%

med

How well communicated was information about your university/college's mental wellbeing support services?

83%

med

Student information

The Data Science course at London School of Economics features content from more than one subject area. Choose an option below to find out about the students taking courses in each of those subject areas at this uni.

Statistics
Mathematics
Mode of study
Full-time99%Part-time1%
Gender ratio
Female40%Male60%
Where students come from
International49%UK51%
Student performance
2:1 or above70%
Number of students800
Most popular A-levels studied
SubjectGrade
MathematicsA*
Further MathematicsA*
EconomicsA
PhysicsA
ChemistryA*
Mode of study
Full-time98%Part-time2%
Gender ratio
Female45%Male55%
Where students come from
International64%UK36%
Student performance
2:1 or above70%
Number of students445
Most popular A-levels studied
SubjectGrade
MathematicsA*
Further MathematicsA
EconomicsA
PhysicsA
ChemistryA
Source: HESA

Graduate prospects

What graduates do next

Facts and figures about London School of Economics graduates who took Data Science - or another course in the same subject area.

Statistics

Graduate statistics

95%

In a job where degree was essential or beneficial

95%

In work, study or other activity

75%

Say it fits with future plans

50%

Are utilising studies

Top job areas

55%

Business, Research and Administrative Professionals

10%

Business and public service associate professionals

10%

Finance Professionals

10%

Managers, directors and senior officials

Graduate statistics percentages are determined 15 months after a student graduates

Earnings after graduation

Earnings from London School of Economics graduates who took Data Science - or another course in the same subject area.

Mathematical sciences

Earnings

£40.9k

First year after graduation

£51.5k

Third year after graduation

£62.4k

Fifth year after graduation

Shown here are the median earnings of graduates at one, three and five years after they completed a course related to Data Science.

Source: LEO

Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree

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