Introduction

From business and finance or health and medicine to infrastructure or education, data science plays a vital role in all aspects of the modern world. Complete four core modules to gain a foundation set of specific skills to pursue your career aspirations in Data Science. You can study these modules either one year full-time or two years part-time.

The programme provides a foundation in:

• statistical modelling and data analytical skills
• the theories underpinning statistical modelling
• programming
• data mining
• data science as a process for gaining insight from data

Part-Time Study

Part-time students are expected to complete the course over two consecutive years. You will be expected to attend lectures and practical sessions during term time of approximately 3 days per week and to engage in group projects. You are also expected to be able to attend any examinations in the summer.

Upon successful completion of the modules, you may wish to progress to a PGDip or an MSc in Data Science.

Assessment

We offer an excellent range of learning environments, which include traditional lectures, laboratories, and workshops. We are also committed to providing timely feedback for all submitted work and projects.

Assessment varies across modules, allowing students to demonstrate their capabilities in a range of ways, including laboratory reports, essays, exercises, literature reviews, short tests, poster sessions, oral presentations, and formal examination.

Community

We have a great relationship with our students and alumni, who have praised the School for its ambition, positivity and friendly atmosphere. By providing a number of support methods, accessible at any stage of your degree, we strive to give our students the best opportunity to fulfil their potential and attract the very best opportunities for a successful career. Our academics are welcoming and helpful, you will be assigned an academic advisor who can offer advice and recommended reading, and our open door policy has been a popular feature among our students. We believe in encouraging and inspiring our computing and communications scientists of the future.