Data Science and Business Management

Entry requirements

Our minimum entry requirement for this programme is an degree at 2:2 (lower second class) UK Honours level (or a degree from a non-UK institution which is judged by the University to be of equivalent worth), in any subject.

Months of entry

September

Course content

This Masters programme is designed to bridge the gap between data science and business management through an interdisciplinary approach that equips you with the critical business and data science skills necessary to establish or lead successful data science teams or enterprises.

Combining the study of Data Science and Business Management offers a strategic advantage in today's data-driven world. The world of data is undergoing a period of profound transformation as companies and organisations manage ever- increasing volumes and diversity of data. In response, the importance placed on data collection, management and analysis by organisations of all sizes is increasing all the time as businesses strive to stay competitive in today's market.

While the tools and techniques of advanced data science were previously largely confined to professionals with computing or other STEM backgrounds, the democratisation of data science means that business managers of all backgrounds can learn to unlock insights from data.

This Masters programme is designed to make data science accessible to all by bridging the gap between data scientists and business managers through an interdisciplinary approach that fosters a holistic understanding of business dynamics and data analytics, enabling more accurate forecasting, targeted marketing, and improved operational efficiency, ultimately leading to smarter business strategies and better outcomes.

Our primary objective is to equip you with the critical business and data science skills necessary to establish or lead successful data science teams or enterprises. This includes a comprehensive understanding of both business management principles—such as leadership, digital marketing, HR, and market strategy planning—and the technical intricacies of data science, including coding, data collection and storage, data preparation and exploration, modelling, and predictive analytics.

Combining Data Science and Business Management will enhance your career prospects in today's data-driven job market. The combination of business leadership skills and proficiency in data science you will gain on this programme will help lead to roles in business forecasting, targeted marketing, and using data to optimise processes.

Information for international students

English Language Requirements

To study for a Postgraduate Taught degree at the University of Aberdeen it is essential that you can speak, understand, read, and write English fluently. The minimum requirements for this degree are as follows:

IELTS Academic:

OVERALL - 6.5 with: Listening - 5.5; Reading - 6.0; Speaking - 5.5; Writing - 6.0

TOEFL iBT:

OVERALL - 90 with: Listening - 17; Reading - 21; Speaking - 20; Writing - 21

PTE Academic:

OVERALL - 62 with: Listening - 59; Reading - 59; Speaking - 59; Writing - 59

Cambridge English B2 First, C1 Advanced or C2 Proficiency:

OVERALL - 176 with: Listening - 162; Reading - 169; Speaking - 162; Writing - 169

Fees and funding

We are pleased to offer a range of scholarships and funding opportunities for our students. A full list of available funding opportunities is available on our Funding Database.

Aberdeen Global Scholarship - Eligible self-funded Postgraduate Taught (PGT) students will receive the Aberdeen Global Scholarship. Eligibility details and further information are available here.

Alumni Discount Scheme - We are pleased to offer a 20% discount for postgraduate tuition fees to all alumni who have an undergraduate degree from the University of Aberdeen. Please note, the Aberdeen Alumni Discount cannot be claimed in conjunction with any other scholarship award. Learn more about the Aberdeen Alumni Discount here.