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King's College London, University of London: Finance Analytics
| Institution | King's College London, University of London |
|---|---|
| Department | King's Business School |
| Web | http://www.kcl.ac.uk |
| Study type | Taught |
MSc
Summary
The world of finance is changing. With recent advances in technology, huge amounts of data are generated every second on a global scale. Finance professionals of the future will need to harness advanced technologies to process, analyse and ultimately extract key insights to tackle the challenges facing the industry.
With a focus on big data analytics, our Finance Analytics MSc is designed to provide you with rigorous applied training in quantitative and empirical methods in Finance.
This course is suited to individuals with strong quantitative backgrounds who desire the skills & expertise needed for a range of highly skilled technical professions in finance. You’ll study topics at the cutting edge of the finance industry such as data visualisation, big data, FinTech and robo-trading.
Key Benefits
-
Cutting edge topics in finance - You’ll study advanced topics in finance to prepare you for a range of careers in analytics, data & finance, such as big data analytics, robo-trading, FinTech analytics and business risk analytics.
-
A comprehensive industry view - You’ll also study key fundamental financial principles to inform a broader view of the finance industry, including financial econometrics, behavioural finance, corporate finance and risk management.
-
Designed with practitioners, delivered by experts – This course was developed in close collaboration with senior industry practitioners and will allow students to understand how advanced analytics and technologies are utilised by financial firms operating today.
-
Masterclasses – Our ungraded modules & masterclasses allow you to enhance your understanding of financial markets, software & programming and increase the possibility of securing internships in financial firms.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Undergraduate degree with high 2:1 honours (i.e. overall average of at least 65% across all years of study) required in a social or applied science (e.g. finance, economics, management, engineering, applied mathematics, computer science or other relevant subject) or equivalent overseas qualification. Our programme is most suitable if you have some quantitative background in either finance and/or economics or have a degree with some quantitative elements. In order to meet the academic entry requirements for this programme you should have a minimum high 2:1 undergraduate degree with a final mark of at least 65% or above in the UK marking scheme. If you are still studying you should be achieving an average of at least 65% or above in the UK marking scheme. Please note: Meeting the minimum requirements for your application to be considered does not guarantee an offer as applications for this programme are very competitive. |
Summary
The world of finance is changing. With recent advances in technology, huge amounts of data are generated every second on a global scale. Finance professionals of the future will need to harness advanced technologies to process, analyse and ultimately extract key insights to tackle the challenges facing the industry.
With a focus on big data analytics, our Finance Analytics MSc is designed to provide you with rigorous applied training in quantitative and empirical methods in Finance.
This course is suited to individuals with strong quantitative backgrounds who desire the skills & expertise needed for a range of highly skilled technical professions in finance. You’ll study topics at the cutting edge of the finance industry such as data visualisation, big data, FinTech and robo-trading.
Key Benefits
-
Cutting edge topics in finance - You’ll study advanced topics in finance to prepare you for a range of careers in analytics, data & finance, such as big data analytics, robo-trading, FinTech analytics and business risk analytics.
-
A comprehensive industry view - You’ll also study key fundamental financial principles to inform a broader view of the finance industry, including financial econometrics, behavioural finance, corporate finance and risk management.
-
Designed with practitioners, delivered by experts – This course was developed in close collaboration with senior industry practitioners and will allow students to understand how advanced analytics and technologies are utilised by financial firms operating today.
-
Masterclasses – Our ungraded modules & masterclasses allow you to enhance your understanding of financial markets, software & programming and increase the possibility of securing internships in financial firms.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Undergraduate degree with high 2:1 honours (i.e. overall average of at least 65% across all years of study) required in a social or applied science (e.g. finance, economics, management, engineering, applied mathematics, computer science or other relevant subject) or equivalent overseas qualification. Our programme is most suitable if you have some quantitative background in either finance and/or economics or have a degree with some quantitative elements. In order to meet the academic entry requirements for this programme you should have a minimum high 2:1 undergraduate degree with a final mark of at least 65% or above in the UK marking scheme. If you are still studying you should be achieving an average of at least 65% or above in the UK marking scheme. Please note: Meeting the minimum requirements for your application to be considered does not guarantee an offer as applications for this programme are very competitive. |
Summary
Finance Analytics MSc at King's Business School combines a rigorous academic programme that teaches the most recent developments in data analytics with a unique practitioners’ view of how these developments are shaping the practical aspects of finance.
| Level | NFQ Level 7 |
|---|
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