Course summary

Modern societies produce huge amounts of data. However, this information is only useful if we can analyse it and gain practical insights. Data science combines powerful computing technology, sophisticated statistical methods, and expert subject knowledge to carry out this analysis. It is a field that has emerged over recent decades, and is now an exciting, fulfilling, and high-profile career choice, with positions available in many diverse fields. Our specialist BSc Data Science with a Foundation Year programme provides an opportunity for you to develop your mathematics skills and start learning some university-level material, fully preparing you for university study before you progress onto your chosen mathematics programme. The course combines the expertise of internationally-renowned statisticians and mathematicians from the School of Mathematics, Statistics and Actuarial Science (SMSAS) and computer scientists and machine learners from the School of Computing to ensure that you develop the expertise and quantitative skills required for a successful future career in the field. This programme has been designed for those who have achieved grades or are predicted grades significantly lower than our standard entry requirements. Your studies: To help bridge the gap between school and university, you’ll cover material from the A Level Mathematics and Further Mathematics syllabuses, along with advanced topics taken from university-level studies preparing you for university. You will graduate with capabilities including data science, machine learning and communication skills, as well as more specific knowledge skills in areas such as Python, SQL, Java and Hadoop. By the end of the programme you will have developed: 1. systematic understanding of key aspects of knowledge associated with data science and the capability to deploy established approaches accurately 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. 2. transferable skills in some or all of: presentations, information retrieval and internet research, report writing, information technology (IT) expertise and the use of statistical and computing software and practical and analytical skills such as software development skills, testing and assessment skills, experimental skills, data gathering and processing skills. You will also be able to: 1. apply key aspects of big data science and artificial intelligence/statistical machine learning in well-defined contexts, showing judgement in the selection and application of tools and techniques and of mathematics/statistics and computer technology. 2. plan and develop a project themed in one of data science areas in business, environment, finance, medicine, pharmacy, public health, among others. Superb student experience SMSAS and the School of Computing, within the Division of Computing, Engineering and Mathematical Sciences (CEMS), have a thriving student culture, with students from all degree programmes and all degree stages participating in student activities and taking on active roles within the University. As a SMSAS student you benefit from free membership of the Kent Maths Society and Invicta Actuarial Society. You can become a Student Rep and share the views of your fellow students to bring about changes. You could be employed as a Student Ambassador, earning money while you study by inspiring the next generation of mathematicians. Or join one of the society committees and organise socials and events for CEMS students. You will be encouraged to make the most of your time at university and will have access to support and guidance throughout your studies.

Course details