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Edge Hill University: Big Data Analytics
Institution | Edge Hill University |
---|---|
Department | Computer Science |
Web | http://www.edgehill.ac.uk |
study@edgehill.ac.uk | |
Telephone | +44 (0)1695 657000 |
Study type | Taught |
Master of Science - MSc (PG)
Summary
What revelations hide in social media, mobile applications or Internet of Things (IoT) sensor data? Our MSc Big Data Analytics unlocks the theories, skills and tools you need to uncover hidden patterns, correlations and trends.
As a recent computer science graduate or IT industry career changer, you’ll become a big data specialist on this course.
Big data analysts work in a changing and evolving technology landscape. You need imagination and creativity to come up with novel ways to answer questions. We’ll teach you to assess new and advanced solutions then adapt them as you process, analyse and make sense of big and complex data.
Study visualisation, modelling, and the foundations of artificial intelligence and machine learning algorithms. Assess issues presented by big data in different situations. Learn essential methods, practices, and theories. Study relevant computational techniques. You’ll develop the skills and confidence you need to succeed with our Masters in big data analytics.
Please note, there is an intake to the 12-month full-time route each September and 16-month full-time route each January. The 16-month full-time route includes the UK summer break between semesters. The part-time route takes 2-3 years to complete and typically has intakes in both September and January.
**What you'll study**
Data mining. Virtual reality. Practical maths. Our Masters programme gives you the full skillset and experience you need to become a big data expert.
Become an expert in choosing the right tools and methods for a specific task. Study the tools and techniques for advanced analytics. Get a deep understanding of the ideas and theories behind different algorithmic approaches. Learn to handle, manage, process and analyse different kinds of data in different ways.
Help people make sense of big data sets. Learn the latest ways to share your results using graphs, pictures and virtual reality. Explore what’s new in computing and judge its usefulness for data analysis while assessing its ethical impact. Put your knowledge into practice as you get creative to solve big data problems.
Level | RQF Level 7 |
---|---|
Entry requirements | You should have a degree equivalent to UK first-class or second-class honours (2:2 or above), comprising 50% or more of content in a computing discipline. Equivalent knowledge gained in alternative ways, for example through professional experience or completion of BCS Professional Diploma in IT (Level 6), is also accepted. |
Location | Ormskirk (Main Campus) St Helens Road Ormskirk L39 4QP |
Summary
What revelations hide in social media, mobile applications or Internet of Things (IoT) sensor data? Our MSc Big Data Analytics unlocks the theories, skills and tools you need to uncover hidden patterns, correlations and trends.
As a recent computer science graduate or IT industry career changer, you’ll become a big data specialist on this course.
Big data analysts work in a changing and evolving technology landscape. You need imagination and creativity to come up with novel ways to answer questions. We’ll teach you to assess new and advanced solutions then adapt them as you process, analyse and make sense of big and complex data.
Study visualisation, modelling, and the foundations of artificial intelligence and machine learning algorithms. Assess issues presented by big data in different situations. Learn essential methods, practices, and theories. Study relevant computational techniques. You’ll develop the skills and confidence you need to succeed with our Masters in big data analytics.
Please note, there is an intake to the 12-month full-time route each September and 16-month full-time route each January. The 16-month full-time route includes the UK summer break between semesters. The part-time route takes 2-3 years to complete and typically has intakes in both September and January.
**What you'll study**
Data mining. Virtual reality. Practical maths. Our Masters programme gives you the full skillset and experience you need to become a big data expert.
Become an expert in choosing the right tools and methods for a specific task. Study the tools and techniques for advanced analytics. Get a deep understanding of the ideas and theories behind different algorithmic approaches. Learn to handle, manage, process and analyse different kinds of data in different ways.
Help people make sense of big data sets. Learn the latest ways to share your results using graphs, pictures and virtual reality. Explore what’s new in computing and judge its usefulness for data analysis while assessing its ethical impact. Put your knowledge into practice as you get creative to solve big data problems.
Level | RQF Level 7 |
---|---|
Entry requirements | You should have a degree equivalent to UK first-class or second-class honours (2:2 or above), comprising 50% or more of content in a computing discipline. Equivalent knowledge gained in alternative ways, for example through professional experience or completion of BCS Professional Diploma in IT (Level 6), is also accepted. |
Location | Ormskirk (Main Campus) St Helens Road Ormskirk L39 4QP |
Summary
This Masters degree provides you with a strong conceptual and theoretical understanding of big data analytics. You will gain the essential skills and confidence required to apply and produce knowledge and understanding of issues surrounding big data analytics in a range of contexts. This will enable you to evaluate, adapt, create and utilise appropriate models, methods, practices, theories and computational techniques in the face of changing and evolving technology. There is the opportunity to develop a critical understanding of visualisation concepts, modelling and algorithmic foundations, as well as to develop and evaluate new or advanced bespoke solutions for processing, analysing and making sense of big and/or complex data. The programme enables you concentrate on a specific practical area within computer science and is suitable whether you are a recent graduate or already working in the IT industry and looking to change career paths.
Level | RQF Level 7 |
---|---|
Entry requirements | You should have a degree equivalent to UK first-class or second-class honours (2:2 or above), comprising 50% or more of content in a computing discipline. Equivalent knowledge gained in alternative ways, for example through professional experience or completion of BCS Professional Diploma in IT (Level 6), is also accepted. |
Location | Ormskirk (Main Campus) St Helens Road Ormskirk L39 4QP |
Fees
England | 7000 GBP for Whole course |
---|---|
Northern Ireland | 7000 GBP for Whole course |
Scotland | 7000 GBP for Whole course |
Wales | 7000 GBP for Whole course |
International | 13500 GBP for Whole course |
Summary
This Masters degree provides you with a strong conceptual and theoretical understanding of big data analytics. You will gain the essential skills and confidence required to apply and produce knowledge and understanding of issues surrounding big data analytics in a range of contexts. This will enable you to evaluate, adapt, create and utilise appropriate models, methods, practices, theories and computational techniques in the face of changing and evolving technology. There is the opportunity to develop a critical understanding of visualisation concepts, modelling and algorithmic foundations, as well as to develop and evaluate new or advanced bespoke solutions for processing, analysing and making sense of big and/or complex data. The programme enables you concentrate on a specific practical area within computer science and is suitable whether you are a recent graduate or already working in the IT industry and looking to change career paths.
Level | RQF Level 7 |
---|---|
Entry requirements | You should have a degree equivalent to UK first-class or second-class honours (2:2 or above), comprising 50% or more of content in a computing discipline. Equivalent knowledge gained in alternative ways, for example through professional experience or completion of BCS Professional Diploma in IT (Level 6), is also accepted. |
Location | Ormskirk (Main Campus) St Helens Road Ormskirk L39 4QP |
Fees
England | 39 GBP for Credit |
---|---|
Northern Ireland | 39 GBP for Credit |
Scotland | 39 GBP for Credit |
Wales | 39 GBP for Credit |
Summary
This Masters degree provides you with a strong conceptual and theoretical understanding of big data analytics. You will gain the essential skills and confidence required to apply and produce knowledge and understanding of issues surrounding big data analytics in a range of contexts. This will enable you to evaluate, adapt, create and utilise appropriate models, methods, practices, theories and computational techniques in the face of changing and evolving technology. There is the opportunity to develop a critical understanding of visualisation concepts, modelling and algorithmic foundations, as well as to develop and evaluate new or advanced bespoke solutions for processing, analysing and making sense of big and/or complex data. The programme enables you concentrate on a specific practical area within computer science and is suitable whether you are a recent graduate or already working in the IT industry and looking to change career paths.
Level | RQF Level 7 |
---|---|
Entry requirements | You should have a degree equivalent to UK first-class or second-class honours (2:2 or above), comprising 50% or more of content in a computing discipline. Equivalent knowledge gained in alternative ways, for example through professional experience or completion of BCS Professional Diploma in IT (Level 6), is also accepted. |
Location | Ormskirk (Main Campus) St Helens Road Ormskirk L39 4QP |
Fees
England | 7000 GBP for Year 1 |
---|---|
Northern Ireland | 7000 GBP for Year 1 |
Scotland | 7000 GBP for Year 1 |
Wales | 7000 GBP for Year 1 |
International | 13500 GBP for Year 1 |
Summary
This Masters degree provides you with a strong conceptual and theoretical understanding of big data analytics. You will gain the essential skills and confidence required to apply and produce knowledge and understanding of issues surrounding big data analytics in a range of contexts. This will enable you to evaluate, adapt, create and utilise appropriate models, methods, practices, theories and computational techniques in the face of changing and evolving technology. There is the opportunity to develop a critical understanding of visualisation concepts, modelling and algorithmic foundations, as well as to develop and evaluate new or advanced bespoke solutions for processing, analysing and making sense of big and/or complex data. The programme enables you concentrate on a specific practical area within computer science and is suitable whether you are a recent graduate or already working in the IT industry and looking to change career paths.
Level | RQF Level 7 |
---|---|
Entry requirements | You should have a degree equivalent to UK first-class or second-class honours (2:2 or above), comprising 50% or more of content in a computing discipline. Equivalent knowledge gained in alternative ways, for example through professional experience or completion of BCS Professional Diploma in IT (Level 6), is also accepted. |
Location | Ormskirk (Main Campus) St Helens Road Ormskirk L39 4QP |
Fees
England | 39 GBP for Credit |
---|---|
Northern Ireland | 39 GBP for Credit |
Scotland | 39 GBP for Credit |
Wales | 39 GBP for Credit |
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