Program Overview

Overview

The Data Science MSc is a conversion course designed for students from non-computing backgrounds. It equips students with the skills and knowledge to turn raw data into valuable insights, preparing them for impactful roles in various sectors.

Course Structure

The course is divided into three semesters. In Semester 1, students build a solid foundation in programming, statistics, machine learning, and data handling and visualization. In Semester 2, students explore the theory and applications of data science in greater depth, including a skills-based module delivered by the UK's National Innovation Centre for Data (NICD). In Semester 3, students complete an independent project that applies data science to a real-world challenge in research or industry.

Modules

Students will study a range of modules, including:

• Programming and data handling
• Statistics and machine learning
• Data visualization and communication
• Legal and ethical aspects of data science
• Optional modules in areas such as sport, artificial intelligence, and digital humanities

Teaching and Learning

The course is delivered through a range of methods, including lectures, small group tutorials, computer labs, workshops, data bootcamps, and practical sessions. Students will have access to specialist software and facilities, including the Urban Sciences Building and the Herschel Building.

Assessment

Students will be assessed through a combination of methods, including case studies, computer assessments, dissertations, professional skills assessments, and oral examinations.

Career Opportunities

Graduates of the Data Science MSc are well-prepared to pursue roles in a variety of sectors, including data science, business analysis, statistics, research, and consultancy. The course provides an excellent foundation for PhD-level research in applied data science and related areas.

Facilities

The School of Computing has a state-of-the-art data visualization lab, and students will have access to extensive IT facilities for teaching and self-study. The Urban Sciences Building and the Herschel Building provide a well-equipped learning environment, with dedicated study and social spaces.

Research Areas

The course is delivered by experts working at the frontier of data science, with research areas including:

• Centre for Data Science and AI
• Statistics and Data Science
• Scalable Computing

Industry Links

The course has strong industry links, with collaborations with organizations such as Red Hat Inc, Proctor and Gamble, Sage, and the National Health Service (NHS). Students will have opportunities to work on projects with industry partners and develop key professional skills.