Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: 1 year full-time
2 years part-time
Gain a competitive advantage with this Master’s in Big Data and Business Intelligence - one of the first MSc courses in the UK to cover this cutting-edge technology.
This innovative master's course provides you with the skills to contribute to the design and development of big data systems as well as distributed / internet-enabled decision support application software systems.
We focus on modern engineering methods, tools, and techniques, including data analytics, machine learning, business intelligence, data mining. You will also have the opportunity to learn programming languages such as Python and R. Our software engineering approach to building applications helps you to develop a life-cycle view of software development.
Drawing on our research excellence in this area, this innovative course in big data and business intelligence is designed to give you a competitive advantage in this fast-growing business domain.
You should have an honours degree 2:2 or above in computing-related subject or in a suitable numerate subject (e.g. mathematics, physics, engineering, information systems or multimedia) that includes software development experience.
OR substantial commercial/industrial experience including software development using modern programming languages and design.
Graduates from the MSc Big Data and Business Intelligence course are equipped for employment in industry, commerce or research with a proficiency in the key theoretical and practical areas of big data systems development.
Core Modules:
MSc Project (60 credits)
Big Data (15 credits)
Advanced Database Technologies (15 credits)
Applied Machine Learning (15 credits)
Programming Fundamentals for Data Science (15 credits)
Graph and Modern Databases (15 credits)
Data Warehousing and Business Intelligence (15 credits)
Essential Professional and Academic Skills for Masters Students
Optional Modules:
Software Tools and Techniques (15 credits)
User Centred Web Engineering (15 credits)
Clouds, Grids and Virtualisation (15 credits)
Systems Modelling (15 credits)
Data Visualisation (15 credits)
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