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MSc Data Science with Placement Year

  • DeadlineStudy Details: 2 years sandwich

Masters Degree Description

This two-year MSc in Data Science with a placement year offers a unique blend of theory and practical experience, preparing students for careers in data science, artificial intelligence, and machine learning. The programme culminates in a professional placement, giving students the opportunity to apply their knowledge in real-world settings and engage with advanced industrial systems and practices. Designed for the global market, the course equips graduates with both academic expertise and valuable work experience, enhancing career prospects worldwide.

Students will study core topics such as big data, machine learning, programming fundamentals, ethics, data visualisation and statistical methods, alongside optional modules in areas like cloud computing, blockchain for FinTech, and modern database systems. Teaching is delivered by experts from the School of Computing and Mathematical Sciences, combining cutting-edge research with industry insights. A substantial MSc project allows learners to specialise further and demonstrate their skills.

Graduates are highly sought after across sectors including finance, healthcare, technology, and government, with roles ranging from Data Scientist and AI Specialist to Business Intelligence Consultant. With growing global demand for data professionals, this programme provides a strong foundation for a dynamic, future-proof career in one of the most rapidly evolving fields in technology.

Entry Requirements

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 non Computing background.

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Fees

For fees and funding options, please visit website to find out more.

Student Destinations

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.

Module Details

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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