MScData Analytics
The programme provides a balanced route to learning through a blend of academic study and lab sessions, with a heavy focus on practical engagement with industry.
- Entry requirements
- 2.2 Honours degree or above in a relevant area of science or equivalent qualification acceptable to the University.
- English language requirements
- An IELTS* score of 6.0 with a minimum of 5.5 in each test component. *Taken within the last 2 years.
- Tuition fees
- £16,900 / ¥153,774
COURSE CONTENT
In the first and second semesters, you will study 6 modules full-time which will give you the skills and knowledge to become an expert in data analytics. In the third semester you will undertake a significant industry based project that will give you hands on practical experience of working in analytics in an industry environment.
Hard Skills
- Data Analytics Fundamentals, and Frontiers of Analysis
- Data Mining and Machine Learning
- Database and Programming Fundamentals
Soft Skills
- Problem solving - Analytics in Action modules
- Communication skills developed through analyathons
- Excellent Analytic Ability developed in taught modules, labs, online training apps, and practical examples.
Related courses
Applications open
Why Queen's
The Environment
The programme is supported by excellent access to digital networks and learning resources and extensive use of well-equipped laboratories. You will be assigned a personal tutor to provide pastoral and academic care throughout the entire programme. You will be taught in classes of around 30 alongside fellow students from around the globe.
What will excite you
This is an exciting field of rapid development. Data is everywhere and continuing to grow massively, creating huge growth in demand for qualified experts to be able to extract meaning from the data that can inform important business decisions. A diverse range of areas in which to work including software companies, healthcare, policing,fraud, smart cities, intelligent buildings, industry 4.0, marketing, all of which gives businesses the edge over their competitors.
Careers
Where could you be in five years?
The list is endless!
You could be at the forefront of developing new algorithms that make predictions on human behaviour in any number of applications from shopping patterns, lifestyle choices, banking or mortgage decisions, to how people perceive new products.
You could be an advisor to government or looking at how to improve the provision of healthcare to the population, or in infrastructure evaluating whether a new airport, road, or shopping centre should be built.
You could be a programme leader or a product champion at companies such as GSK Pharmaceuticals, Almac, British Aerospace (BAe), Texas Instruments, Apple, Microsoft, SAS, Bombardier or National Grid.
You could be working or leading your own analytics team in Google, Facebook, Citigroup, Allstate, Santander, Seagate, Red Bull, Kainos, Skyscanner, British Airways, Boots, Debenhams plus many more companies all looking for this package of skills.
