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Data Science at University of Kent - UCAS

Course options

2024 - 20252025 - 2026
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University of Kent has participated in the Teaching Excellence Framework. These ratings were awarded in 2023, for four years.

Open days

18Jan
Find your future: Undergraduate Open Day
Undergraduate

Course summary

Data Science Data science combines powerful computing technology, sophisticated statistical methods, and expert subject knowledge to analyse and gain practical insights from the huge amounts of data produced by modern societies. This new course combines the expertise of internationally renowned statisticians and mathematicians, computer scientists and machine learners to ensure that you develop the expertise and quantitative skills required for a successful future career in the field. You'll gain a systematic understanding of key aspects of knowledge associated with data science and the capability to deploy established approaches accurately. You learn to analyse and solve problems using a high level of skill in calculation and manipulation of the material in the following areas: data mining and modelling, artificial intelligence techniques/statistical machine learning and big data analytics. Your Future You graduate with a solid grounding in the fundamentals of data science and a range of professional skills, including:

  • programming
  • modelling
  • design
To help you appeal to employers, you also learn key transferable skills that are essential for all graduates. These include the ability to:
  • think critically
  • communicate your ideas and opinions
  • analyse situations and troubleshoot problems
  • work independently or as part of a team
You can also gain extra skills by signing up for one of our Kent Extra activities, such as learning a language or volunteering. An industrial placement can greatly enhance your studies and have a dramatic impact on your graduate choices. Location Our city, your time. It has never been a better time to study in Canterbury. Our high student population creates a vibrant, diverse and student-friendly atmosphere. We are a hub of exciting new ideas emerging from a stunning historic city - join us and get involved!

Modules

The following modules are what students typically study, but this may change year to year in response to new developments and innovations. Year 1 compulsory modules currently include the following: Mathematics for Data Science; Programming I; Programming II; Internet Technologies; Essential Principles of Probability and Statistics; Applications and Practice with R and Python. Year 2 compulsory modules currently include the following: Algorithms; Database Systems; Predictive and Explanatory Modelling in Context; Optimisation for Data Analysis; Preparing for Professional Practice; Fundamentals of AI. Year 3 compulsory modules currently include the following: Natural Computation; Machine Learning and Deep Learning; Bayesian Machine Learning; Data Science Project. Optional modules may include the following: Data Mining and Knowledge Discovery; Natural Language Processing. For more detailed information about these modules, please visit our website.

How to apply

29Jan

This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Application codes

Course code:
G190
Institution code:
K24
Campus name:
Canterbury campus
Campus code:
-

Points of entry

The following entry points are available for this course:

  • Year 1

International applicants

For further information about applying to Kent as an international student you can visit our International student webpages: https://www.kent.ac.uk/international. From here you will find useful information on country entry requirements, scholarship information, events and application guidance. Kent has dedicated support available to international students through groups, networks, English language and more specialist services through our Student Support and Wellbeing team. Visit our guide for international students to find out more on how we can support you during your time at Kent: www.kent.ac.uk/guides/support-for-international-students

Entry requirements

Qualification requirements

Please click the following link to find out more about qualification requirements for this course

https://www.kent.ac.uk/courses/undergraduate/4407/data-science

English language requirements

Applicants should have grade C or 4 in English Language GCSE or a suitable equivalent level qualification.

Please visit our website for further information:

https://www.kent.ac.uk/courses/undergraduate/how-to-apply/english-language-requirements.html

Student Outcomes

Operated by the Office for Students
73%
Employment after 15 months (Most common jobs)
91%
Go onto work and study

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

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

All fees for 2025/26 are to be confirmed. Please see the programme page at www.kent.ac.uk for further information on fees and funding options.

Sponsorship information

Kent offers generous financial support schemes to assist eligible undergraduate students during their studies. See our funding page for more details - https://www.kent.ac.uk/courses/undergraduate/fees-and-funding

Data Science at University of Kent - UCAS