Data Science BSc

University College London (UCL)

United Kingdom, London

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University College London (UCL)

United Kingdom , London

Key Facts

Program Level

Bachelor

Study Type

Full Time

Delivery

On Campus

Course Code

G303

Campuses

London

Bloomsbury

Program Language

English

Start & Deadlines

Next Intake Deadlines 25-Jan-2023

Apply to this program

Go to the official application for the university

Duration 3 year(s)

Tuition Fee

GBP 39,800 / year

Apply Date 25-Jan-2023

Data Science BSc

About

Course overview

The programme does not assume any previous exposure to probability, statistics or computer science. During the course of your degree, theoretical studies are balanced with an emphasis on practical work, including the training on at least two programming languages, and realistic illustration of theoretical concepts.

The first year is designed to provide all students with a firm foundation in these subjects, while deepening the knowledge and understanding of those students with some previous exposure to the subject areas: you will study mathematics, statistics and computing, which will prepare you for increased specialisation in data science in years two and three.

The second and third years build on this foundation through further compulsory modules on core topics in probability theory, statistical inference and algorithms. One of these compulsory modules includes an introduction to data ethics. Specialist areas of application, such as in medicine and commerce, are mostly introduced as third year options, although an introductory module in applied science may be taken as early as the first year.

In the final year, there is considerable flexibility to bias your programme towards either the more mathematical or applied aspects of the subject. In particular, about one-quarter of your work will be on a project involving extensive research supervised by a member of staff within the Department of Statistical Science.

What this course will give you

The degree programme is aimed at providing the core capabilities of a data scientist who will be able to engage with a variety of disciplines, from health research, to the digital economy and finance, natural sciences and more.

During the degree programme, students will be exposed to a mix of multidisciplinary modules including in the applied sciences and its data-analytic aspects.

The department offers a friendly and supportive atmosphere, where small-group teaching and personal attention are available for all students.

Ranked 6th in the UK by the QS World University Rankings by Subject 2023 for Statistics and Operational Research, we offer you an excellent education with high standards of teaching.

The structure of the programme encourages hands-on assignments and an interaction with disciplines outside the department.

This programme provides a comprehensive training in the statistical basis of data science, along with a solid grounding in the computing skills and algorithmic reasoning necessary for modern data analysis.

Requirements

Entry Requirements

A levels IB Diploma Other qualifications

Grades: A*AA
Subjects: A* in Mathematics required. Further Mathematics preferred. If you are studying both then the A* can be in either subject. Other preferred subjects include Chemistry, Economics, Physics and Statistics.
GCSEs: English Language and Mathematics at grade C or 4.

Contextual offer information

Grades: A*BB more about contextual offers
Subjects: A* in Mathematics required. Further Mathematics preferred. If you are studying both then the A* can be in either subject. Other preferred subjects include Chemistry, Economics, Physics and Statistics.
GCSEs: English Language and Mathematics at grade C or 4.

Points: 39
Subjects: A total of 19 points in three higher level subjects including grade 7 in Mathematics, with no higher level score below 5. The programme will accept either 'Mathematics: Analysis and Approaches' or 'Mathematics: Applications and Interpretation' at higher level. Further Mathematics, Chemistry, Economics, Physics and Statistics preferred.

Contextual offer

Points: 36 more about contextual offers
Subjects: A total of 17 points in three higher level subjects including grade 7 in Mathematics, with no higher level score below 5. The programme will accept either 'Mathematics: Analysis and Approaches' or 'Mathematics: Applications and Interpretation' at higher level. Further Mathematics, Chemistry, Economics, Physics and Statistics preferred.

UK applicants qualifications

For entry requirements with other UK qualifications accepted by UCL, choose your qualification from the list below:

Equivalent qualification

Pass in Access to HE Diploma, with a minimum of 36 credits at Distinction and 9 credits at Merit, all from Level 3 units. Please note, where subject specific requirements are stipulated at A level we will review your Access to HE syllabus to ensure you meet the subject specific requirements prior to a final decision being communicated.

BTEC Level 3 National Extended Diploma (RQF - teaching from 2016) with Distinction, Distinction, Distinction to include Distinction in Engineering Principles and Calculus to Solve Engineering Problems.

D2,D3,D3 in three Cambridge Pre-U Principal Subjects. Mathematics at D2 required. Further Mathematics is preferred. If you are studying both subjects then D2 can be in either subject. Other preferred subjects include Chemistry, Economics, Physics and Statistics.

A1,A,A at Advanced Highers (or A1,A at Advanced Higher and A,A,A at Higher), including A1 in Mathematics at Advanced Higher. Further Mathematics, Chemistry, Economics, Physics and Statistics preferred.

Not acceptable for entrance to this programme.

Successful completion of the WBQ Advanced Skills Challenge Certificate plus 2 GCE A levels at grades A*AA, including A* in Mathematics. Further Mathematics is preferred. If you are studying both subjects then A* can be in either subject. Other preferred subjects include Chemistry, Economics, Physics and Statistics.

International applications

Country-specific information, including details of when UCL representatives are visiting your part of the world, can be obtained from the International Students website.

English Program Requirements

The English language level for this programme is: Level 2

Information about the evidence required, acceptable qualifications and test providers can be found on our English language requirements page.

A variety of English language programmes are offered at the UCL Centre for Languages & International Education.

Career

The foundation of your career

The programme is also designed to provide you with a preparation for postgraduate study in statistics, machine learning and other specialised fields in applied data science.

Together with subject-specific knowledge, the programme is designed to equip you with skills valued by employers including: advanced numeracy and quantitative skills, analytical and problem-solving skills, and computing skills. You will also develop your research and communication skills through project work.

Graduate Outcomes surveys carried out by the Higher Education Statistics Agency (HESA), looking at the destinations of UK and EU graduates in the 2017-18, 2018-19, 2019-20, 2020-21 cohorts.

Employability

As a graduate of the programme, you should be able to proceed directly to a post as a data scientist in industry, commerce or government. The skills you will acquire could also be applied to the founding or management of businesses relating to a broad set of data analytic services.