Data Science

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!

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.