Big data is increasingly important in today’s commercial landscape. As a data scientist specialising in big data, you’ll help companies make sense of large amounts of structured and unstructured data, providing rapid insights that enable them to make better, quicker decisions.
The MSc Big Data from University of Stirling is a taught advanced Masters degree covering the technology of Big Data and the science of data analytics. You’ll gain practical skills in big data technology, advanced analytics and industrial and scientific applications.
The course will teach you how to collect, manage and analyse big, fast moving data for science or commerce. You’ll learn skills in cutting-edge technology such as Data Analytics, R, Hadoop, NoSQL and Machine Learning. At the same time, you’ll delve into important maths and computing theory, and learn the advanced computational techniques you need to develop your career in data science.
Our MSc has been developed in partnership with global and local companies who employ data scientists. Since the course was launched in 2012 we have developed a great relationship with employers who are looking for the skills that we teach.
The University of Stirling is associated with The Data Lab, an Innovation Centre that aims to develop the data science talent and skills required by industry in Scotland. It also supports our students with funding, networking and routes into employment. We also have close links with the Scottish Informatics and Computing Science Alliance (SICSA).
As a graduate in Big Data you’ll be able to work in a wide range of sectors such as digital technologies, energy and utilities, financial services, public sector and healthcare.
- 96% of our postgraduate leavers are in employment or further study within fifteen months of graduating (Graduate Outcomes Survey 2020, HESA)
- Our career services is 1st in Scotland, top 5 in the UK and top 15 in the world (UK International Student Barometer (ISB) Benchmark and Global ISB Benchmark 2018)
Big data skills are in high demand. You will have opportunities with data-driven companies from a wide variety of sectors and command a salary that’s typically higher than the IT average. As a graduate in Big Data you’ll be able to work in a wide range of sectors, such as digital technologies, energy and utilities, financial services, public sector and healthcare.
Our Masters in Big Data has been developed in partnership with companies that employ data scientists and includes the possibility of an internship that will enable you to make industry connections that could benefit your future career. We are also part of The Data Lab which supports students with funding, networking and routes into employment.
Big Data professionals earn an average 31% more than other IT professionals in the industry.
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- Representing and Manipulating Data
- Mathematical Foundations
- Networks & Graph Theory
- Statistics for Data Science
- Commercial and Scientific Applications
- Machine Learning
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- 12 months
- 24 months
Start dates & application deadlines
- StartingApply anytime.
- StartingApply anytime.
International applicants requiring a student visa are advised to apply at least eight weeks in advance of the start date.
DisciplinesComputer Sciences Data Science & Big Data Machine Learning View 238 other Masters in Machine Learning in United Kingdom
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- 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.
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International21345 GBP/yearTuition FeeBased on the tuition of 21345 GBP per year during 12 months.
National9850 GBP/yearTuition FeeBased on the tuition of 9850 GBP per year during 12 months.
Living costs for Stirling
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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Apply and win up to €10000 to cover your tuition fees.