MSc Statistics and Applied Probability
Course Overview
This Master's program equips you with advanced statistical and probabilistic modeling expertise, specifically tailored for a high-impact career in business and finance. You will learn to interpret complex data, extract actionable insights, and develop sophisticated computing skills using R to solve real-world industry challenges.
Key Program Highlights
- Specialized focus on probability models for applications in business, finance, and the digital economy
 - Develop advanced computing and data analysis skills using the R programming language
 - Option to complete a dissertation in collaboration with industry partners like Capital One
 - Curriculum includes cutting-edge topics such as Mathematical Finance and Statistical Machine Learning
 - Prepares graduates for high-demand roles as data scientists, statisticians, and quantitative analysts
 
Offer response
4 - 6 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs
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Course Overview
This Master's program equips you with advanced statistical and probabilistic modeling expertise, specifically tailored for a high-impact career in business and finance. You will learn to interpret complex data, extract actionable insights, and develop sophisticated computing skills using R to solve real-world industry challenges.
Key Program Highlights
- Specialized focus on probability models for applications in business, finance, and the digital economy
 - Develop advanced computing and data analysis skills using the R programming language
 - Option to complete a dissertation in collaboration with industry partners like Capital One
 - Curriculum includes cutting-edge topics such as Mathematical Finance and Statistical Machine Learning
 - Prepares graduates for high-demand roles as data scientists, statisticians, and quantitative analysts
 
Requirements
The requirements may vary based on your selected study options.
Related courses
Offer response
4 - 6 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs