Data Science (Business and Management)

Entry requirements

High 2:1 honours degree (or overseas equivalent)

For this pathway, we normally expect applicants to hold a degree in a quantitative or computational subject such as mathematics, statistics, management science or economics, physics, engineering or computer science. Applicants with extensive Business and Management industrial experience combined with an honours degree in a quantitative subject may also be considered for admission.

In your application, you should demonstrate aptitude, knowledge and/or interest in three areas:

• data analytics and/or statistics;
• computational subjects; and
• pathway specific requirements.

These can be demonstrated by course units taken at undergraduate level and high school level, or professional experience.

Months of entry

September

Course content

Whether you’re trying to make sense of a football match, a general election or a business’ financial performance, data is vital. Our Data Science – Business and Management master’s will teach you invaluable skills for today’s economy such as:

• Data analysis
• Project design
• Computational methods
• Data stewardship.

This pathway focusses particularly on the data techniques and uses that are most relevant to business and management, with optional course units exploring themes such as business creation and AI in finance.

The course welcomes applicants from a range of STEM, business and humanities backgrounds. Working with the rest of your student cohort will enrich your understanding of the uses and potential of data.

Upon course completion, you’ll have developed a highly valued skillset, enhancing your employability across countless sectors.

Aims

This innovative MSc in Data Science course is an opportunity for graduates from a broad range of disciplines to develop data science skills.

Our goal is to help you develop into an agile, skilled data scientist, adept at working in a variety of settings and be able to meet the challenges and rewards of interdisciplinary teamwork.