Bachelor of Science (Honours) - Computer Science (Data Science)

Throughout the Computer Science (Data Science), BSc Hons degree, students will develop a firm grasp of the science underpinning computer and software systems. The modules they can study as part of this degree include Statistical Techniques with R, Information Visualization and Big Data and Machine Learning.

Students will gain practical experience of developing systems using the latest technologies and techniques, plus exposure to the latest trends that will shape the future of computer science. By the end of the course, they'll be equipped to work independently and to develop and adapt their skills throughout their future career.

Learners will study the core algorithms underpinning data processing and develop analytical skills with statistical technologies to create solutions and applications in big data. The University of Greenwich has a long-standing relationship with the British Computer Society (BCS), which accredits the computing degree programmes.

This undergraduate degree course employs a range of innovative teaching and learning methods. Lectures and laboratories or tutorials are dynamic and interactive. Learners will be taught by an experienced team of lecturers, supported by a team of technical officers.

Students can also opt for a sandwich mode, which means they can take a year to work in industry between their second and final years of study. Sandwich placements are relevant to their degree subject and are paid roles. Former students have secured placement years at HSBC Hong Kong, Kent Connects, Affiliate Window, CERN, Royal Museums Greenwich and Uctel. In addition to this, learners are also encouraged to take up summer internships, though it is up to them to find those. Support is available to students from the Employability and Careers Service when applying for placements and internships.

Career opportunities exist in many computing areas such as IT support, consultancy, internet and e-commerce applications. Graduates can expect to work as independent consultants or in teams with other computer professionals to build and support modern computing systems.