The KCL Business School's Master of Financial Analysis combines a rigorous academic program that teaches new insights into how these developments shape financial practices and teaches new developments in data analysis. The Master of Financial Analysis specializes in big data analytics and is designed to provide you with rigorous application training in quantitative and empirical methods in finance. Students will gain knowledge and develop the skills and expertise needed for a wide range of careers in finance and other transnational organizations.
The course is developed in close collaboration with leading financial industry practitioners and covers the basics of advanced financial analysis. Li Sichen's introduction to study abroad, including big data analysis technology, focusing on risk management, product release and transaction applications, as well as more active topics such as Robo-advice and financial technology development, are actively shaping the financial industry. As a result, graduates will gain the highly sought-after knowledge and skills of financial industry companies. In addition, given the importance of analytics in a broader context, the course provides skills that can be used in a variety of industries other than finance, including e-commerce, hotels, retail, pharmaceuticals and media.
Required Modules compulsory courses
Introduction to Big Data Analytics in Finance (15 credits)
Introduction to Financial Big Data Analysis
Principles of Finance (15 credits)
Data Analysis and Visualisation (15 credits)
Data analysis and visualization
Business Risk Analytics (15 credits)
Enterprise Risk Analysis
要求：2: 1荣誉学位较高（相当于211名大学毕业生，加权平均85％或其他大学毕业生，加权平均88％。如果得分由GPA计算，则必须为3.3-3.5（4分）./p >
英语水平: ITLES 7.0整体，每项技能至少6.5分
TOEFL iBT: 100总体上写作至少25分，其他技能各23分钟