Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: 1 year full-time
2 years part-time
Our MSc in Data Science is a forward-thinking programme designed to equip you with the technical skills, analytical mindset, and ethical awareness needed to thrive in today’s data-driven world. Whether you're looking to transition into data science or deepen your expertise, this course offers a rich blend of foundational knowledge and emerging technologies.
You’ll begin with core modules that build your expertise in programming, machine learning, big data, data visualisation, and statistical methods for time series analysis. You’ll also explore the ethical dimensions of data science and develop essential academic and professional skills to support your success. The programme culminates in a substantial MSc Project, where you’ll apply your learning to a real-world challenge.
To tailor your experience, you’ll choose one module from each of two specialist groups. In the first, you can explore either Clouds, Grids and Virtualisation or Blockchain for FinTech Applications—both offering insight into the technologies shaping the future of data infrastructure and finance. In the second, you’ll choose between Technologies for Anti-Money Laundering and Financial Crime or Graph and Modern Databases, allowing you to specialise in either financial data applications or advanced database systems.
An undergraduate (honours) degree at 2:2, or above, in Computing, Computer Science, AI, Data Science, Mathematics, Physics, Engineering, Statistics, IT or a relevant STEM subject.
Applicants without a degree that have substantial commercial/industrial experience including software development using modern programming languages and design may be considered.
Applicants with a degree in another discipline should consider MSc Data Science and its Applications, a specialist course designed for applicants from any background.
Graduates from this Data Science course are equipped for employment in industry, commerce or research with a proficiency in the key theoretical and practical areas of data science, including their application to modern artificial intelligence systems.
Core Modules:
MSc Project (60 credits)
Big Data (15 credits)
Data Visualisation (15 credits)
Machine Learning (15 credits)
Programming Fundamentals for Data Science (15 credits)
Ethics in Data Science (15 credits)
Essential Professional and Academic Skills for Masters Students
Statistical Methods for Time Series Analysis (15 credits)
Optional Modules:
Clouds, Grids and Virtualisation (15 credits)
Blockchain for FinTech Applications (15 credits)
Technologies for Anti-Money Laundering and Financial Crime (15 credits)
Graph and Modern Databases (15 credits)
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