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MSc - Master of Science
Cavendish Campus
Full Time
JAN
1 year
Select a course option
MSc - Master of Science
Cavendish
Full Time
SEP-25
1 Year
MSc - Master of Science
Cavendish Campus
Full Time
JAN
1 year
MSc - Master of Science
Cavendish
Full Time
SEP-26
1 Year
MSc - Master of Science
Cavendish
Part Time
JAN-26
2 Years
MSc - Master of Science
Cavendish
Part Time
SEP-25
2 Years
MSc - Master of Science
Cavendish Campus
Part Time
JAN
2 years
Select a an exam type
This course (previously Business Intelligence and Analytics MSc) addresses the need to propel information-gathering and data organisation, and exploit potential information and knowledge hidden in routinely collected data to improve decision-making. The course stretches the artificial intelligence (AI), machine learning (ML) and decision science themes to business intelligence, data science and business analytics.
You'll focus on developing solutions to real-world problems associated with the changing nature of IT infrastructure and increasing volumes of data, using applications and case studies, while gaining a deep appreciation of the underlying models and techniques. You'll also gain a greater understanding of the impact technological advances have on nature and practices adopted within data science, business intelligence and analytics, and how to adapt to these changes.
Embedded into the course are two key themes. The first will help you to develop your skills in the use and application of various technologies, architectures, techniques, tools, and methods for data science. These include data warehousing and mining, distributed data management, and the technologies, architectures, and appropriate AI and ML techniques. The second theme will enhance your knowledge of algorithms and the quantitative techniques including AI, ML, and Operational Research (OR) suitable for analysing and mining data and developing decision models in a broad range of application areas. The project consolidates the taught subjects covered, while giving you the opportunity to pursue in-depth study in your chosen area.
Teaching approaches include lectures, tutorials, seminars, and practical sessions. You will also learn through extensive coursework, class presentations, group research work, and the use of a range of industry-standard software such as R, Python, Simul8, Palisade Decision Tools, Tableau, and Oracle.
A minimum of an upper second class honours degree (2:1) or a lower second class honours degree (2:2) and substantial relevant work experience.
Students living in
Domestic
£10,500 per year
Students from Domestic
This is the fee you pay if the University is in the same country that you live in (England, Scotland, Wales, Northern Ireland)
£17,000 per year
Students from EU
The amount you'll pay if you come to study here from somewhere in the EU.
£17,000 per year
Students from International
The amount you'll pay if you come to study here from a country outside the EU.
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