Overview
You will gain a comprehensive skill set that will enable you to work in a variety of sectors using a blended learning approach that combines theory, intensive practice and industrial engagement.
The Data Analytics programme at the University of Strathclyde has been jointly developed by the Departments of Management Science, Mathematics & Statistics and Computer & Information Sciences. It brings together essential skills from all three departments in order to address the needs of a fast-growing industry.
This collaboration avoids the narrow interpretation of this subject offered by competitor institutions and presents significant opportunities for businesses to recruit data analytics experts with a high-level expertise and knowledge.
You will have optional opportunities to complete your MSc summer dissertation projects in client-based projects, where a number of host organisations will be arranged by the department.
Assessment methods include a mix of written assignments, exams, practical team projects, presentations and individual projects.Careers
The aim of the course is to develop graduates who can use data analytics technology, understand the statistical principles behind the technologies and understand how to apply these technologies to solve business problems.
Graduates will be able to bridge the various knowledge domains that are relevant for tackling data analytics problems as well as being able to identify emerging themes and directions within data analytics.
Graduates will display abilities across the three component disciplines. Examples of graduate employers and job roles include; Software Development Engineer - Machine Learning at RBS, Junior Data Scientist at V.Group, Data Scientist at Solita Scandinavia, Business Analyst at Scottish Power, IT Graduate at Scottish Power.
Programme Structure
Courses include:
- Big Data
- Big Data Tools & Techniques
- Data Analytics in R
- Business & Decision Modelling
- Optimisation for Analytics
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- StartingApply anytime.
No formal closing date for postgraduate applications.
Language
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Credits
Delivered
Campus Location
- Glasgow, United Kingdom
Disciplines
Data Analytics View 243 other Masters in Data Analytics in United KingdomWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- MSc: Minimum second class Honours degree, or overseas equivalent (see our country pages for further information) in: mathematics, the natural sciences, engineering, economics/finance
- Applications from those with other degrees are also encouraged if you have demonstrated a good grasp of numerical/quantitative subjects.
- English language requirements
Tuition Fees
-
International Applies to you
Applies to youNon-residents31100 GBP / year≈ 31100 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents14250 GBP / year≈ 14250 GBP / year
Additional Details
England, Wales & Northern Ireland: £14,250
Living costs
Glasgow
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Analytics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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