Sheffield Hallam University

Overview

Data Analytics with Banking and Finance is an innovative program offered by Sheffield Hallam University that equips students with the skills to apply analytics, statistics, and data science to real-world challenges in banking and finance. This course emphasizes the use of industry-relevant tools and platforms, enabling students to develop expertise in critical areas such as credit risk management, portfolio decision-making, and digital analytics.

What you'll study

The curriculum is designed to blend core modules in analytics and finance with practical learning opportunities and a research or dissertation component. Students will engage with a variety of subjects, which may include:

• Advanced Portfolio Management
• Data Analytics: Tools and Techniques
• Finance
• Global Financial Markets
• Postgraduate Placement (where available)
• Research Skills and Dissertation

Students will learn through applied practice using finance-related datasets, enhancing their statistical and modeling skills for effective decision-making. Research training will also be provided to support independent analysis and the dissertation project.

Entry requirements

While specific GRE, GMAT, or GPA scoring requirements for this program have not been disclosed, prospective students should consult the university's official resources for the most accurate information. Additionally, proficiency in English is essential, with accepted tests including:

• TOEFL iBT - Minimum score of 79
• IELTS - Minimum score to be confirmed on the program page

Career prospects

Graduates of the Data Analytics with Banking and Finance program will be well-prepared for various roles within the financial sector, including positions in data analysis, risk management, financial consulting, and analytics strategy. The comprehensive skill set developed during the course will enable students to effectively contribute to decision-making processes and drive innovation in banking and finance.