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University of Stirling: Big Data
| Institution | University of Stirling View institution profile |
|---|---|
| Department | Computing Science and Mathematics |
| Web | www.stir.ac.uk |
| graduate.admissions@stir.ac.uk | |
| Telephone | 01786 467046 |
| Study type | Taught |
MSc
Summary
The global data science platform market size was valued at £80.37 billion ($103.93 billion) in 2023. It is projected to grow to £600.75 billion ($776.86 billion) by 2032 (source: Fortune Business Insights, 2024/5).
Scotland has an exciting future at the heart of the data science revolution, with more than £660 million invested in turning our capital city, Edinburgh, into the ‘Data Capital of Europe’ (Source: Scottish Development International 2020).
The city of Stirling hosts over 70 tech companies, making it a key hub for digital growth and a major tech centre in Central Scotland (source: FinTech Scotland).
Become expert in big data technologies and data analytics The MSc Big Data is an advanced Masters course covering the technology of big data and the science of data analytics.
As a big data scientist, you’ll help companies make sense of large amounts of data, providing rapid insights that enable them to make better, quicker decisions.
You’ll learn how to collect, manage and analyse big, fast-moving data for science or commerce through cutting-edge technology such as:
SQL and NoSQL databases Hadoop Python Machine Learning R Work on commercially relevant projects On our Big Data MSc, you get the opportunity to work with academics on ongoing commercially relevant research projects. You can also take part in projects with industry or technology providers. Past projects include:
Fishvet Group: Developing search tool for pathology reports using NLP Sainsbury’s Bank: Driving customer value by engineering novel features from big data The course has been developed, with the option to apply for an internship in partnership with companies that employ data scientists and to make industry connections that benefit your future career.
Engage with the data science industry This big data Masters degree offers a great chance to build your professional network with peers and industry leaders.
You’ll engage with industry through guest lectures and local industry career events. Recent speakers include Huawei, Bigspark, Red Star (AI for healthcare), Virtonomy, KBC Group, and Leonardo UK.
Designed to help you get a data science job In a fast-changing world, businesses rely more on big data for decisions. This course provides you with the skills that are in demand in the industry.
There are opportunities for paid internships. Previous students have had internships with:
IES Ltd WuTap LLC Celestia Technologies Group UK Ltd The Cabinet Office We are a member of The Data Lab, an Innovation Centre developing data science talent and skills required by industry. They offer great networking opportunities for our students.
| Level | SCQF Level 11 |
|---|---|
| Entry requirements | A minimum of a 2nd 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. |
| Location | Stirling Campus University of Stirling Stirling FK9 4LA |
Summary
The global data science platform market size was valued at £80.37 billion ($103.93 billion) in 2023. It is projected to grow to £600.75 billion ($776.86 billion) by 2032 (source: Fortune Business Insights, 2024/5).
Scotland has an exciting future at the heart of the data science revolution, with more than £660 million invested in turning our capital city, Edinburgh, into the ‘Data Capital of Europe’ (Source: Scottish Development International 2020).
The city of Stirling hosts over 70 tech companies, making it a key hub for digital growth and a major tech centre in Central Scotland (source: FinTech Scotland).
Become expert in big data technologies and data analytics The MSc Big Data is an advanced Masters course covering the technology of big data and the science of data analytics.
As a big data scientist, you’ll help companies make sense of large amounts of data, providing rapid insights that enable them to make better, quicker decisions.
You’ll learn how to collect, manage and analyse big, fast-moving data for science or commerce through cutting-edge technology such as:
SQL and NoSQL databases Hadoop Python Machine Learning R Work on commercially relevant projects On our Big Data MSc, you get the opportunity to work with academics on ongoing commercially relevant research projects. You can also take part in projects with industry or technology providers. Past projects include:
Fishvet Group: Developing search tool for pathology reports using NLP Sainsbury’s Bank: Driving customer value by engineering novel features from big data The course has been developed, with the option to apply for an internship in partnership with companies that employ data scientists and to make industry connections that benefit your future career.
Engage with the data science industry This big data Masters degree offers a great chance to build your professional network with peers and industry leaders.
You’ll engage with industry through guest lectures and local industry career events. Recent speakers include Huawei, Bigspark, Red Star (AI for healthcare), Virtonomy, KBC Group, and Leonardo UK.
Designed to help you get a data science job In a fast-changing world, businesses rely more on big data for decisions. This course provides you with the skills that are in demand in the industry.
There are opportunities for paid internships. Previous students have had internships with:
IES Ltd WuTap LLC Celestia Technologies Group UK Ltd The Cabinet Office We are a member of The Data Lab, an Innovation Centre developing data science talent and skills required by industry. They offer great networking opportunities for our students.
| Level | SCQF Level 11 |
|---|---|
| Entry requirements | A minimum of a 2nd 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. |
| Location | Online University of Stirling Cottrell Building Stirling FK9 4LA |
Summary
The global data science platform market size was valued at £80.37 billion ($103.93 billion) in 2023. It is projected to grow to £600.75 billion ($776.86 billion) by 2032 (source: Fortune Business Insights, 2024/5).
Scotland has an exciting future at the heart of the data science revolution, with more than £660 million invested in turning our capital city, Edinburgh, into the ‘Data Capital of Europe’ (Source: Scottish Development International 2020).
The city of Stirling hosts over 70 tech companies, making it a key hub for digital growth and a major tech centre in Central Scotland (source: FinTech Scotland).
Become expert in big data technologies and data analytics The MSc Big Data is an advanced Masters course covering the technology of big data and the science of data analytics.
As a big data scientist, you’ll help companies make sense of large amounts of data, providing rapid insights that enable them to make better, quicker decisions.
You’ll learn how to collect, manage and analyse big, fast-moving data for science or commerce through cutting-edge technology such as:
SQL and NoSQL databases Hadoop Python Machine Learning R Work on commercially relevant projects On our Big Data MSc, you get the opportunity to work with academics on ongoing commercially relevant research projects. You can also take part in projects with industry or technology providers. Past projects include:
Fishvet Group: Developing search tool for pathology reports using NLP Sainsbury’s Bank: Driving customer value by engineering novel features from big data The course has been developed, with the option to apply for an internship in partnership with companies that employ data scientists and to make industry connections that benefit your future career.
Engage with the data science industry This big data Masters degree offers a great chance to build your professional network with peers and industry leaders.
You’ll engage with industry through guest lectures and local industry career events. Recent speakers include Huawei, Bigspark, Red Star (AI for healthcare), Virtonomy, KBC Group, and Leonardo UK.
Designed to help you get a data science job In a fast-changing world, businesses rely more on big data for decisions. This course provides you with the skills that are in demand in the industry.
There are opportunities for paid internships. Previous students have had internships with:
IES Ltd WuTap LLC Celestia Technologies Group UK Ltd The Cabinet Office We are a member of The Data Lab, an Innovation Centre developing data science talent and skills required by industry. They offer great networking opportunities for our students.
| Level | SCQF Level 11 |
|---|---|
| Entry requirements | A minimum of a 2nd 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. |
| Location | Stirling Campus University of Stirling Stirling FK9 4LA |
Summary
The global data science platform market size was valued at £80.37 billion ($103.93 billion) in 2023. It is projected to grow to £600.75 billion ($776.86 billion) by 2032 (source: Fortune Business Insights, 2024/5).
Scotland has an exciting future at the heart of the data science revolution, with more than £660 million invested in turning our capital city, Edinburgh, into the ‘Data Capital of Europe’ (Source: Scottish Development International 2020).
The city of Stirling hosts over 70 tech companies, making it a key hub for digital growth and a major tech centre in Central Scotland (source: FinTech Scotland).
Become expert in big data technologies and data analytics The MSc Big Data is an advanced Masters course covering the technology of big data and the science of data analytics.
As a big data scientist, you’ll help companies make sense of large amounts of data, providing rapid insights that enable them to make better, quicker decisions.
You’ll learn how to collect, manage and analyse big, fast-moving data for science or commerce through cutting-edge technology such as:
SQL and NoSQL databases Hadoop Python Machine Learning R Work on commercially relevant projects On our Big Data MSc, you get the opportunity to work with academics on ongoing commercially relevant research projects. You can also take part in projects with industry or technology providers. Past projects include:
Fishvet Group: Developing search tool for pathology reports using NLP Sainsbury’s Bank: Driving customer value by engineering novel features from big data The course has been developed, with the option to apply for an internship in partnership with companies that employ data scientists and to make industry connections that benefit your future career.
Engage with the data science industry This big data Masters degree offers a great chance to build your professional network with peers and industry leaders.
You’ll engage with industry through guest lectures and local industry career events. Recent speakers include Huawei, Bigspark, Red Star (AI for healthcare), Virtonomy, KBC Group, and Leonardo UK.
Designed to help you get a data science job In a fast-changing world, businesses rely more on big data for decisions. This course provides you with the skills that are in demand in the industry.
There are opportunities for paid internships. Previous students have had internships with:
IES Ltd WuTap LLC Celestia Technologies Group UK Ltd The Cabinet Office We are a member of The Data Lab, an Innovation Centre developing data science talent and skills required by industry. They offer great networking opportunities for our students.
| Level | SCQF Level 11 |
|---|---|
| Entry requirements | A minimum of a 2nd 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. |
| Location | Online University of Stirling Cottrell Building Stirling FK9 4LA |
Summary
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 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.
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).
| Level | SCQF Level 11 |
|---|---|
| Entry requirements | A minimum of a 2nd 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. |
| Location | Online University of Stirling Cottrell Building Stirling FK9 4LA |
Summary
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 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.
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).
| Level | SCQF Level 11 |
|---|---|
| Entry requirements | A minimum of a 2nd 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. |
| Location | Stirling Campus University of Stirling Stirling FK9 4LA |
The University of Stirling is an international university committed to helping students Be the Difference in the world. Based in the heart of Scotland, Stirling is a place where ability – not background – is valued, and teaching, employability and facilities are all rated five-star (QS Stars University Ratings 2024).
That’s just part of the reason Stirling was shortlisted for University of the Year in the Times Higher Education (THE) Awards 2024, rated top 30 in the UK for postgraduate teaching (Postgraduate Taught Experience Survey 2024) and number one in the UK for campus environment (The International Student Barometer …
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