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 with Placement program at Sheffield Hallam University offers a unique blend of academic rigor and practical experience.
Core Data Analytics Skills: The program begins with a solid foundation in data analytics techniques, including data preprocessing, statistical analysis, and data visualization.
Financial Data Management: Students learn to collect, clean, and manage financial data, a critical skill for professionals in the banking and finance sector.
Advanced Analytics Techniques: The curriculum includes advanced analytics methods such as machine learning, predictive modeling, and data mining, tailored to the financial industry's needs.
Risk Assessment and Management: A significant portion of the program is dedicated to risk assessment and management, covering credit risk, market risk, and operational risk.
Financial Modeling: Students gain expertise in financial modeling and quantitative techniques used for financial analysis and decision-making.
Banking and Finance Regulations: The program covers relevant banking and finance regulations, ensuring that students are well-versed in industry-specific compliance requirements.
Portfolio Management: Portfolio management principles are explored, allowing students to understand how to optimize investment strategies and achieve financial goals.
Big Data Analytics: Given the importance of big data in the financial sector, students are exposed to big data technologies and analytics tools.
Ethical Data Analytics: An emphasis is placed on ethical considerations in data analytics, especially in handling sensitive financial data.
Practical Placement: The distinguishing feature of this program is the placement component, where students gain real-world experience by working with industry partners in banking and finance institutions.
Industry Collaboration: Sheffield Hallam University fosters collaborations with industry partners, offering students access to 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.
The MSc Data Analytics with Banking and Finance with Placement program prepares graduates for a wide range of 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 within 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 choose 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.
Academic and Research Roles: For those interested in academia, opportunities exist in teaching and conducting research in data analytics and finance at universities or research institutions.