MSc Computer Science with International Business
Intake:- January & September The MSc program in Computer...
Dundee City Campus
INTAKE: Jan & Sept
The MSc Business Analytics and Finance program at the University of Dundee combines the power of data analytics with the principles of finance to provide students with a comprehensive understanding of how data-driven insights can drive financial decision-making. This program equips students with the skills and knowledge to excel in the fields of business analytics and finance.
Data Analytics Techniques: Students learn a wide range of data analytics techniques, including statistical modeling, predictive analytics, machine learning, and data visualization. They gain hands-on experience in using tools and software such as Python, R, SQL, and Tableau to analyze and interpret financial data.
Financial Analysis and Modelling: The program covers essential topics in finance, such as financial statement analysis, investment analysis, risk management, and portfolio management. Students learn how to apply data analytics techniques to financial data to make informed investment and risk management decisions.
Business Intelligence in Finance: Students explore the application of business intelligence tools and techniques in the financial industry. They learn how to extract meaningful insights from financial data, create dashboards and reports, and communicate financial information effectively to stakeholders.
Risk Analytics and Management: The program focuses on the role of data analytics in identifying and managing financial risks. Students learn how to use quantitative methods to assess and mitigate risks in areas such as credit risk, market risk, and operational risk.
Financial Technology (Fintech): Students gain knowledge of emerging trends and technologies in the financial industry, including fintech innovations. They understand how fintech disrupts traditional financial practices and how data analytics can be used to enhance financial services and decision-making.
Industry Engagement: The program emphasizes practical application through industry engagement opportunities. Students have the chance to work on real-world projects, collaborating with finance professionals and organizations to solve complex business problems using data analytics and finance principles.
Dundee City Campus
IELTS 6.5
£ 20900
Postgraduate Entry Requirements:
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.
The University of Dundee offers a range of scholarships and financial support opportunities to both domestic and international students. These scholarships are designed to recognize academic excellence, support talented students, and promote diversity and inclusion.
Graduates of the MSc Business Analytics and Finance program have excellent career prospects in various sectors where the intersection of data analytics and finance is crucial.
Financial Analyst: Graduates can work as financial analysts, utilizing data analytics techniques to analyze financial data, evaluate investment opportunities, and provide recommendations for financial decision-making.
Risk Analyst/Manager: Graduates can pursue roles as risk analysts or managers, using data analytics to identify and assess financial risks, develop risk management strategies, and ensure compliance with regulatory requirements.
Data Scientist in Finance: Graduates can work as data scientists specializing in finance, applying advanced analytics and machine learning algorithms to develop predictive models, optimize investment strategies, and improve financial performance.
Financial Consultant: Graduates can work as financial consultants, providing data-driven insights and advice to organizations. They assist in areas such as financial planning, mergers and acquisitions, and financial process optimization.
Investment Manager: Graduates can pursue careers as investment managers, using data analytics techniques to evaluate investment opportunities, manage portfolios, and maximize returns for clients or organizations.
Financial Technology (Fintech) Specialist: Graduates can work in the growing field of fintech, utilizing data analytics and finance knowledge to develop innovative financial products and services, improve customer experiences, and drive digital transformation in the financial industry.
Financial Data Analyst: Graduates can specialize in financial data analysis, working with large datasets to extract insights, create financial models, and support business decision-making.