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University of Strathclyde: Applied Statistics in Finance (online)
Institution | University of Strathclyde View institution profile |
---|---|
Department | Mathematics and Statistics |
Web | http://www.strath.ac.uk |
science-masters@strath.ac.uk | |
Telephone | 0141 548 3623 |
Study type | Taught |
MSc
Summary
Our online MSc in Applied Statistics in finance is a conversion course, offering the opportunity to develop skills in statistics and data analysis even if you have never studied statistics before. You will be supported through this three-year part-time programme by members of staff who work directly with industry to develop skills which are relevant to current areas of research. Over the three years, our students gain skills in:
- problem solving
- analysis and modelling of financial data
- the use of statistical software for data analysis and reporting
- effective communication of statistics
The course is entirely delivered online. The course is ideally suited to those working full-time or with other commitments. You can study and complete the modules when it’s most convenient for you – you don’t need to be online at specific times.
The course has been designed by academics who also work as statisticians in the public sector, who are experts in understanding real-life statistical problems, data, and relating theory to practice.
The skills set provided will also equip you with the necessary training to work as an applied statistician in areas such as insurance, finance and commerce.
Level | SCQF Level 11 |
---|---|
Entry requirements | Minimum second-class Honours degree or overseas equivalent. Mathematical training to A Level or equivalent standard. Prospective students with relevant experience or appropriate professional qualifications are also welcome to apply. For Australia and Canada, normal degrees in relevant disciplines are accepted. You must have an English language minimum score of IELTS 6.0 (with no component below 5.5). |
Location | University of Strathclyde McCance Building 16 Richmond Street Glasgow G1 1XQ |
Summary
Our online MSc in Applied Statistics in finance is a conversion course, offering the opportunity to develop skills in statistics and data analysis even if you have never studied statistics before. You will be supported through this three-year part-time programme by members of staff who work directly with industry to develop skills which are relevant to current areas of research. Over the three years, our students gain skills in:
- problem solving
- analysis and modelling of financial data
- the use of statistical software for data analysis and reporting
- effective communication of statistics
The course is entirely delivered online. The course is ideally suited to those working full-time or with other commitments. You can study and complete the modules when it’s most convenient for you – you don’t need to be online at specific times.
The course has been designed by academics who also work as statisticians in the public sector, who are experts in understanding real-life statistical problems, data, and relating theory to practice.
The skills set provided will also equip you with the necessary training to work as an applied statistician in areas such as insurance, finance and commerce.
Level | SCQF Level 11 |
---|---|
Entry requirements | Minimum second-class Honours degree or overseas equivalent. Mathematical training to A Level or equivalent standard. Prospective students with relevant experience or appropriate professional qualifications are also welcome to apply. For Australia and Canada, normal degrees in relevant disciplines are accepted. You must have an English language minimum score of IELTS 6.0 (with no component below 5.5). |
Location | University of Strathclyde McCance Building 16 Richmond Street Glasgow G1 1XQ |
Fees
International | 3850 GBP for Credit |
---|---|
England | 3850 GBP for Credit |
Northern Ireland | 3850 GBP for Credit |
Scotland | 3850 GBP for Credit |
Wales | 3850 GBP for Credit |
Summary
The MSc Applied Statistics in Finance (online) is a conversion course, designed for candidates from a broad background of disciplines. Students will gain skills in: problem solving
- analysis and modelling of financial data
- the use of statistical software for data analysis and reporting
Level | SCQF Level 11 |
---|---|
Entry requirements | Minimum second-class Honours degree or overseas equivalent. Mathematical training to A Level or equivalent standard. You must have an English language minimum score of IELTS 6.0 (with no component below 5.5). |
Location | University of Strathclyde McCance Building 16 Richmond Street Glasgow G1 1XQ |
Summary
The MSc Applied Statistics in Finance (online) is a conversion course, designed for candidates from a broad background of disciplines. Students will gain skills in: problem solving
- analysis and modelling of financial data
- the use of statistical software for data analysis and reporting
Level | SCQF Level 11 |
---|---|
Entry requirements | Minimum second-class Honours degree or overseas equivalent. Mathematical training to A Level or equivalent standard. You must have an English language minimum score of IELTS 6.0 (with no component below 5.5). |
Location | University of Strathclyde McCance Building 16 Richmond Street Glasgow G1 1XQ |
Fees
International | 3850 GBP for Credit |
---|---|
England | 3850 GBP for Credit |
Northern Ireland | 3850 GBP for Credit |
Scotland | 3850 GBP for Credit |
Wales | 3850 GBP for Credit |

The University of Strathclyde
Continue your student journey with the University of Strathclyde
Masters and Taught Courses in Scotland
The place of useful learning. The University of Strathclyde is a leading international technological university located in the heart of Glasgow - one of the UK’s largest cities.
We have been delivering academic excellence through world-class research and teaching, providing students with flexible, innovative learning in preparation for their chosen career path for more than 200 years.
We’re the first university to win the coveted Times Higher Education University of the Year title twice and almost 90% of research produced by …
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