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Data Science

Course details
  • 2 Study options
  • Undergraduate
Course location
Holloway

Course summary

This Data Science bachelor’s course offers a comprehensive introduction to the most important areas of the discipline, including data programming, statistical modelling, business intelligence, machine learning and data visualisation.

Designed by academics from both Mathematics and Applied Computing backgrounds, this course is made up of fine-tuned modules which are designed with your future in mind. The course will foster your learning development using a range of tools and big data platforms, allowing you to continue to specialise in data engineering, analytics, big data visualisation, statistical modelling and machine learning.

The specialist nature of this course will allow you to explore and experience advanced techniques in data science and data analytics. You’ll acquire practical skills, often first-hand from an external organisation, which will prepare you for your future as a data scientist.

Modules

Course Modules

First year:
Introduction to Information Systems;
Fundamentals of Computing;
Programming;
Logic and Mathematical Techniques;
Data Analysis and Financial Maths

Second year:
Professional Issues, Ethics and Computer Law;
Databases;
Data Science for Business;
Data Engineering;
Programming with Data;
Data Analytics;
Statistical Methods and Modelling Markets

Third year:
Project;
Artificial Intelligence and Machine Learning;
Big Data and Visualisation;
Work-Related Learning;
Advanced Database Management Systems;
Financial Modelling and Forecasting;
Formal Specification and Software Implementation;
Cryptography and Number Theory;
Academic Independent Study;
Ethical Hacking;
Artificial Intelligence

How to apply

Application codes

Institution code:
L68

This course may be available at alternative locations, please check if other course options are available.

Course options

Entry requirements

Typical qualification requirements

UCAS Tariff
Offer: 96

In addition to the University's standard entry requirements, you should have:

a minimum grade C in three A levels (or a minimum of 96 UCAS points from an equivalent Level 3 qualification, eg BTEC Level 3 Extended Diploma, Advanced Diploma, Progression Diploma or Access to Higher Education Diploma of 60 Credits);
English language and Mathematics GCSEs at grade C/4 or above (or equivalent)

Applicants with relevant professional qualifications or extensive professional experience will also be considered.

If you don’t have traditional qualifications or can’t meet the entry requirements for this undergraduate degree, you may still be able to gain entry to the four-year Data Science (including foundation year) BSc programme.

Historical entry grades data

This section shows the range of grades that students who received offers were previously accepted on to this course with (learn more).

It is designed to support your research but does not guarantee whether you will or won't get a place.

Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.

This course may have Historical entry grades data available, please select a course option to view.

Course options

Fees and funding

Tuition fees

Per year tuition fees

LocationFeeYear
England, Scotland, Wales & Northern Ireland£10050

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website.

Additional fee information

The tuition fees for year 1 of this course are charged at £10,050 per year for Home/UK full time students and £2,510 per 30 credit module for Home/UK part time students. The following academic years will be charged at the government capped rate.

Please note, in addition to the tuition fee there may be additional costs for things such as equipment, materials, printing, textbooks, trips or professional body fees. Additionally, there may be other activities that are not formally part of your course and not required to complete your course, but which you may find helpful (for example, optional field trips). The costs of these are additional to your tuition fee and the fees set out above and will be notified when the activity is being arranged.

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