
Overview
The Big Data (Online) MSc course from University of Stirling is a taught advanced Masters degree covering coding skills, the technology of Big Data and the science of data analytics.
Key facts
- This is a 100% online course which gives you the opportunity to study in a way that suits your personal and professional needs. A combination of video lectures, live sessions and online materials are used to teach this course enabling you to access them whenever is the right time for you.
- Scotland is a growing and dynamic country with an exciting future at the heart of the data science revolution. £661 million invested in vision of turning capital city into the ‘Data Capital of Europe’ (Source: Scottish Development International).
- On successful completion of this programme, you should be able to demonstrate:
- an understanding of the issues of scalability of databases, data analysis, and search
- the ability to choose the right solution for a commercial task involving big data, including databases, architectures and cloud services
- an understanding of the analysis of big data including methods to visualise and automatically learn from vast quantities of data
- the programming skills to build simple solutions using big data technologies such as MapReduce and scripting for NoSQL, and the ability to write parallel algorithms for multi-processor execution
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Machine Learning
- Mathematical Foundations
- Representing and Manipulating Data
- Commercial and Scientific Applications
- Cloud Computing
- Statistics with R
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 24 months
Start dates & application deadlines
- StartingApply anytime.
The University of Stirling accepts Master's applications year-round with no deadlines. Apply anytime, even just weeks before your intended start date!
Language
Check IELTS test dates and locations. Book an IELTS test now!
Credits
Delivered
Campus Location
- Stirling, United Kingdom
Disciplines
Statistics Data Science & Big Data Web Technologies & Cloud Computing View 20 other Masters in Statistics in United KingdomExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
Check IELTS test dates and locations. Book an IELTS test now!
Other requirements
General requirements
- A minimum of a second class Honours degree or equivalent in a numerate subject such as maths, computing, engineering or an analytic science. Applicants without these formal qualifications but with significant appropriate work experience are encouraged to apply.
- If you don’t currently meet the academic requirements for this course, INTO University of Stirling offers a variety of preparation programmes that can earn you the qualifications and skills you need for direct entry.
- Explore INTO Stirling programmes to see the pathway and pre-masters routes available for this course and others at the University of Stirling.
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
12100 GBP/yearTuition FeeBased on the tuition of 12100 GBP per year during 24 months. -
National
12100 GBP/yearTuition FeeBased on the tuition of 12100 GBP per year during 24 months.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Big Data (Online).
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility