Program Overview

Our BSc Data Science aims to provide a programme of study that combines data science, machine learning, statistics and mathematics. The programme uses a rigorous approach, has a mathematical focus and involves applying data science to the social sciences.


The BSc Data Science will prepare you for further study, or for professional and managerial careers, particularly in areas requiring the application of quantitative skills. The programme also allows you to choose to study a specialist area according to your developing interests and career plans.


As a student on the BSc Data Science you’ll gain practical skills, theoretical knowledge and contextual information that will be excellent preparation quantitative careers in a range of industries. By the end of the programme BSc Data Science students will:Gain extensive first-hand experience of carrying out typical workflows of data analytics.

 

  • Learn about acquiring, querying and understanding the basic properties of data, analysis, how to extract insights from data and how to report the results.
  • Be able to use and understand classical and modern data-analytics techniques, statistical machine learning and artificial intelligence techniques.
  • Be competent in computer programming in data-analytic contexts.
  • Have a broad range of knowledge useful in data-analytic contexts, including topics at an intermediate or advanced level in economics and finance. Depending on your course choices you could also acquire knowledge of advanced topics in mathematics and statistics.
  • Be able to think in a critical manner.
  • Be skilled in making formal and informal inferences on the basis of statistical data.
  • Be able to formulate and develop mathematical arguments in a logical manner.
  • Be able to understand, formulate and use quantitative models arising in the social sciences.
  • Be skilled in acquiring new understanding and expertise.
  • Acquire transferable skills in some or all of: presentations, library and internet research, report writing, information technology (IT) expertise and the use of statistical software.
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  Location

LondonUnited Kingdom

DurationIcon
  Course Duration

36 Months

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  Tuition Fee

£ 23,330

 Score

IELTS: 7 TOEFL: 100

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Teaching


Format and contact hours: You will usually attend a mixture of lectures and related classes, seminars or workshops totalling between 10 and 15 hours per week. Hours vary according to courses and you can view indicative details in the Calendar within the Teaching section of each course guide. 


Independent study: 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.


LSE teaching: 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. You can view indicative details for the teacher responsible for each course in the relevant course guide.


Academic support


Academic mentor: Your academic mentor will be available to offer general guidance and assistance with both academic and personal concerns, and you will be expected to meet them every term. The Mathematics and Statistics Support Centre provides additional help with first year quantitative courses. You can also join the student-run Maths and Stats Society and Actuarial Society for programme-related activities and for getting to know your classmates better.


Other academic support: 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.


Disability and Wellbeing Service: 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.


Your timetable
 

 

  • The standard teaching day runs from 09:00-18:00; Monday to Friday. Teaching for undergraduate students will not usually be scheduled after 12:00 on Wednesdays to allow for sports, volunteering and other extra-curricular events. 
  • The lecture and seminar timetable is published in mid-August and the full academic timetable (lectures/seminars and undergraduate classes) is published by mid-September and is accessible via the LSE Timetables webpages.
  • Undergraduate student personal timetables are published in LSE for You (LFY). For personal timetables to appear, students must be registered at LSE, have successfully signed up for courses in LFY and ensured that their course selection does not contain unauthorised clashes.
  • Every effort is made to minimise changes after publication, once personal timetables have been published any changes are notified via email.


Assessment

Formative unassessed coursework:

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. LSE uses a range of formative assessment, such as essays, problem sets, case studies, reports, quizzes, mock exams and many others. 

Below we list our entry requirements in terms of GCSEs, the International Baccalaureate (IB) Diploma and A-levels. We accept a wide range of other qualifications from the UK and from overseas.
 

GCSEs
 

  • A strong set of GCSE grades including several at A (or 7) and A* (or 8-9)
  • GCSE English and Mathematics grades should also be no lower than B (or 6)
  • We also consider your overall GCSE subject profile

 

IB Diploma
38 points overall, with 766 in higher level subjects, including higher level Mathematics.

 

Contextual admissions IB grades*
37 points overall, with 666 in higher level subjects, including higher level Mathematics.

A-levels

AAA, with an A in Mathematics
We also consider your AS grades, if available.

 

Contextual admissions A-level grades*
AAB with an A in Mathematics

Every undergraduate student is charged a fee for each year of 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


Home students:
The 2022 tuition fee for new Home students is £9,250 per year. The Home student undergraduate fee may rise in line with inflation in subsequent years.

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