Kingston University London

Course Introduction

The growth in data and knowledge is radically and continually changing the way we experience our world, whether in business, science, education or government. This course assumes no prior knowledge beyond GCSE of mathematics, statistics or computer science and is designed to equip you to pursue a career in a wide range of roles, such as a Data Scientist, Data Analyst and Data Engineer, across a broad spectrum of employers, including the creative arts, telecommunication and management consultancy, in what is currently a growth area for employment, globally.

' The overarching ethos of the delivery is that students should be engaged in active learning wherever possible. A largely problem'centred approach to learning is adopted, whereby students begin with the problems of interest and learn the necessary theory and techniques required to solve them. To assist with this extensive use is made of computational support.

' Students gain computing skills and experience of a variety of up to date professional, industry'standard software packages deployed on the university’s modern computing facilities.

' The format of assessments is varied for example, in addition to examinations, students investigate case'studies, individually and in groups, writing reports and giving oral presentations. Typically they produce simulations, posters, videos, schedules/quotations for customers, write articles, etc. In this way, as they progress through the course, students ‘learn by doing and making’ and assemble a portfolio of tangible outputs which provide evidence, explicitly, of the knowledge and skills they have gained and which may be used to demonstrate their capabilities to future employers.

Of key importance is a theme integrating mathematical, statistical and data oriented professional skills utilising industry ' relevant software packages, culminating in students undertaking a substantial piece of independent study allowing them to design and create solution implementations or other appropriate artefacts. A distinctive feature of this theme is that, along the way to the final project, students from this course work in groups together with students from other (IT'based) disciplines on real world case'studies, developing their own professional skills and awareness of their place in the wider professional world.

**Our computing courses ranking rose by 34 places in the Guardian University League Tables 2018.**

**Foundation year**

If you would like to study data science, computing or mathematics at Kingston University but are not yet ready to join the first year of a BSc(Hons) course, you can include an extra foundation year within your chosen degree

Start Date:


Duration & Attendance Qualification Tuition fees Fee type
4 years
Full Time Including Foundation Year
Bachelor of Science (with Honours) - BSc (Hons)