This course equips students with skills to manipulate and analyze live industry data using software like SAS, R, and Python. You'll learn to statistically model data and access real-time financial information through tools like the Bloomberg portal. The curriculum emphasizes developing investment skills, understanding financial stability, sustainability, risk management, and portfolio management to meet financial goals. With a focus on addressing business challenges using analytics, students will engage in hands-on projects, use live industry datasets, and undertake a research dissertation, preparing for roles in finance, data science, investment analysis, and more.
Why this course is highly recommended
This course is ideal for those interested in applying analytics to solve real-world financial challenges. It combines academic rigor with practical industry exposure through tools like the Bloomberg portal and opportunities for work placements with major companies such as HSBC and Lloyds Banking Group. The course ensures relevance by aligning with industry trends, offering networking opportunities, and preparing students for diverse finance-related roles, from investment analysis to data science.
The course focuses on core competencies in data management and analytics integrated with key financial principles. It covers programming languages such as R and Python, statistical modeling with SAS, investment management, financial stability, and risk management techniques including derivatives like futures, options, and swaps. It also emphasizes regulatory financial policies and social and environmental risk strategies, enabling students to specialize in these areas for their career development.
Application fees
-
1st year tuition fees
20.29L
Living cost
Applicants should have an undergraduate degree at 2:2 or above in a related field. International and EU students need to meet English language requirements, typically IELTS 6.0 with at least 5.5 in all skills.

English language test
Want to learn more about the admission process, eligibility criteria,
and acceptance rates for international students? Visit the Sheffield Hallam University admission page
for complete details.
Graduates can pursue careers in marketing and customer analysis, investment analysis, digital analysis, data science, credit risk analysis, fraud analysis, big data architecture, and business intelligence development. Past students have gone on to roles at institutions such as the Bank of England, HSBC, and Axis Bank, including senior positions.