Make sure you check on the university, college or conservatoire website for any updates about course changes as a result of COVID-19.

Course summary

From natural science, through the business, finance and retail sectors to social networking and mobile devices, computer-based systems now generate huge volumes of data almost continuously. The rapid emergence of "Big Data" brings challenges: there is now an urgent need for graduates skilled in the sophisticated mathematical and computational techniques required for large-scale data analysis. This course equips you with the analytical and technical skills needed to become a talented data scientist. You'll develop key computer science skills, becoming proficient in several programming languages as well as database design. You will also learn extensive mathematical and statistical theory and techniques, applying this knowledge to a range of problems linked to processing data. In your final year, your choice of project allows you to place greater emphasis on either the Mathematics or Computer Science side of the course dependent on your interests. Find out more: https://www.ntu.ac.uk/course/science-and-technology/ug/bsc-hons-data-science


How to apply

Application codes

Course code:
7G73
Institution code:
N91
Campus name:
Clifton Campus
Campus code:
2

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements

A lower offer may be made based on a range of factors, including your background (such as where you live and the school or college you attended), your experiences and individual circumstances (you may have been in care, for example). This is called a contextual offer and we get data from UCAS to make these decisions. NTU offers a student experience like no other, and this approach helps us to find students who have the potential to succeed here, but may have faced barriers that can make it more difficult to access university. We also consider equivalent qualifications and combinations. Please contact Nottingham Trent University Admissions team for further information.


Unistats information

Operated by the Office for Students
85%
Student satisfaction
73%
Employment after 15 months (Most common jobs)
92%
Go onto work and study

The student satisfaction data is from students surveyed during the Covid-19 pandemic. The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.

Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

Tuition fees for 2024 entry are yet to be confirmed. As a guide and to enable you to plan your finances, the fees for Home undergraduate students for 2023 are £9250. The current expectation is that the University may increase this for future and subsequent years of study in line with inflation and as specified by the Government.
Data Science at Nottingham Trent University - UCAS