2ND-CYCLE: MASTER'S DEGREE STUDY PROGRAMME

(ECONOMIC AND BUSINESS SCIENCES)

A graduate of the master's program in "Data Science in Business" will be able to:

• Manage risks, detect fraud, and engage in algorithmic trading.
• Conduct financial and business analytics and provide support to asset managers and stockbrokers.
• Develop tools for optimizing investment and monitoring processes and financial data science.
• Engage in quantitative investment and asset management and develop strategic solutions for key issues.

The structure of the postgraduate program is based on two areas:

• computer skills and quantitative analysis of business data, and
• business knowledge required for making business decisions.

Theoretical knowledge is delivered alongside practical knowledge of using business data in real-world economic problems. Graduates will be able to recognize and evaluate the latest trends in the global economy and business and optimize them through quantitative analysis, data science, programming skills, and machine learning. They will acquire a wide range of knowledge applicable across various sectors of the economy, particularly in areas such as:

• Understanding the regulatory, accounting, financial, and tax aspects of working with data and the impact of financial technology (FinTech) on these aspects.
• Utilizing software such as Matlab, Python, R, Risk Simulator, Microsoft software solutions, and other relevant software.
• In-depth understanding of using big data and data science techniques, artificial intelligence, and machine learning, all specific to the field of business.
• Knowledge and application of investment strategies and methods for managing business risks.
• In-depth understanding of data visualization and analytics, statistical analysis, and data engineering, all specific to the business field.
• Knowledge of the latest economic and business trends, such as green finance, insurtech, and regtech.

Practical orientation using state-of-the-art FINANCIAL laboratory and HYBRID REALITY laboratory.

 Elective Courses –ELECTIVE COURSE 1

 Elective Courses – FREE ELECTIVE COURSE 2