MSc Accounting & Finance
Sheffield Hallam University, located in the vibrant city of Sheffield in the United Kin...
Sheffield Hallam - City Campus
INTAKE: September
The MSc Data Analytics with Banking and Finance program at Sheffield Hallam University is a dynamic and comprehensive course that combines advanced data analytics techniques with a focus on the specific requirements of the banking and finance industry.
Foundations of Data Analytics: The program begins with a strong foundation in data analytics, including data preprocessing, statistical analysis, and data visualization.
Financial Data Management: Students learn how to collect, clean, and manage financial data, which is vital for making informed decisions in the banking and finance sector.
Advanced Analytics Techniques: The curriculum includes advanced analytics methods such as machine learning, predictive modeling, and data mining, which are essential for extracting valuable insights from financial data.
Risk Assessment: A significant component of the program is dedicated to risk assessment and management, including credit risk, market risk, and operational risk.
Financial Modeling: Students gain expertise in financial modeling and quantitative techniques used in financial analysis and decision-making.
Banking and Finance Regulations: The program covers relevant banking and finance regulations and compliance standards, ensuring that students are well-versed in industry-specific requirements.
Portfolio Management: Portfolio management principles are explored, allowing students to understand how to optimize investment strategies and achieve financial goals.
Big Data Analytics: As big data plays a crucial role in the financial industry, students are exposed to big data technologies and analytics tools.
Ethical and Responsible Analytics: An emphasis is placed on ethical considerations in data analytics, especially in the context of sensitive financial data.
Practical Projects: Students engage in hands-on projects and case studies, applying their skills to real-world banking and finance scenarios.
Industry Collaboration: Sheffield Hallam University often collaborates with industry partners, providing opportunities for internships, guest lectures, and industry projects.
Sheffield Hallam - City Campus
IELTS 6.5
£ 16385
Postgraduate Entry Requirements:
Academic Qualifications: International students applying for postgraduate programs at Sheffield Hallam University are typically required to have a minimum academic achievement of 60% or above in their undergraduate degree or equivalent qualifications.
English language proficiency:English language proficiency is required, and applicants must provide evidence of their English language skills through an approved language test.
Students must provide:
Work experience: Some postgraduate courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
Sheffield Hallam University offers a range of scholarships to international students to support their academic journey and recognize their achievements. These scholarships are designed to provide financial assistance and enhance the overall student experience.
It's important to note that scholarship availability, eligibility criteria, and application processes may vary from year to year.
Graduates of the MSc Data Analytics with Banking and Finance program at Sheffield Hallam University are well-prepared for diverse career opportunities in the banking, finance, and data analytics sectors.
Data Analyst: Graduates can work as data analysts, responsible for extracting insights from financial data to support decision-making in banks, investment firms, and financial institutions.
Risk Analyst: Opportunities exist as risk analysts, assessing and managing various financial risks in the banking and finance industry.
Quantitative Analyst: Graduates may pursue roles as quantitative analysts, utilizing mathematical models to inform investment strategies.
Financial Consultant: Some may opt to become financial consultants, providing expert advice on financial planning and investment.
Data Scientist: With their data analytics skills, graduates can work as data scientists, exploring large datasets to uncover trends and patterns in financial data.
Compliance Officer: Careers in compliance and regulatory roles are also available, ensuring that financial institutions adhere to industry regulations.
Business Intelligence Analyst: Graduates can excel as business intelligence analysts, helping organizations make data-driven decisions.
Academia and Research: For those interested in academia, opportunities exist in teaching and conducting research in data analytics and finance at universities or research institutions.