The Advanced Data Science MSc is designed for graduates from Computer Science or Data Science undergraduate programs who want to deepen their knowledge in data management, processing, and analysis. It offers a comprehensive curriculum that prepares students for careers in business intelligence, big data analytics, or research and development. The course emphasizes professionalism and ethical use of data and technology, which is vital in today’s data-driven world and Industrial Revolution 4.0. The programme is offered in both full-time (1 year) and part-time (2 years) modes, with start dates in January and September, allowing flexibility for students worldwide.
Why this course is highly recommended
The MSc offers a focused pathway for graduates aiming to enhance their understanding of data analysis and management, which are critical skills in today’s technology-driven industries. The course’s emphasis on professionalism and ethical use of data prepares students for responsible careers in a rapidly evolving field, making it highly suitable for those seeking to stay ahead in data science-related roles.
This course allows students to specialise their Computer Science experience by expanding their skills in data management, processing, and analysis. It is tailored for those who wish to advance their careers in areas like business intelligence, big data analytics, and research and development, offering a path to deepen technical expertise in data science.
Application fees
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1st year tuition fees
21.64L
Living cost
Applicants need to hold a recognised undergraduate degree in Computer Science or a related field with a minimum of second class. International applicants must also demonstrate English proficiency with an IELTS score of at least 6.0, with no component below 5.5.

English language test
Want to learn more about the admission process, eligibility criteria,
and acceptance rates for international students? Visit the Bangor University admission page
for complete details.
Graduates from this programme can pursue careers in business intelligence, big data analytics, or research and development. The course provides the core skills needed for these roles, helping students to advance in technology-driven industries and data-focused sectors.