SPECIALISATION
DATA SCIENCE IN BUSINESS
IN THE MASTER'S DEGREE STUDY PROGRAMME
"ECONOMIC AND BUSINESS SCIENCES"
A graduate of the master's programme specialisation 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 this postgraduate master’s programme specialisation 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.
After fulfilling all the requirements of the programme, the students are awarded the professional title “Master of Science”.
ACADEMIC YEAR 2024/2025
Year 1
COURSE | ECTS | Semester |
INTRODUCTION TO DATA SCIENCE | 3 | Winter |
DATA ANALYSIS TECHNIQUES | 7 | Winter |
DATA SCIENCE WITH R | 7 | Winter |
MATHEMATICS FOR DATA SCIENCE | 7 | Winter |
ELECTIVE COURSE 1 | 6 | Winter |
DATA SCIENCE IN E-BUSINESS | 7 | Summer |
ARTIFICIAL BUSINESS INTELLIGENCE | 7 | Summer |
ARTIFICIAL INTELLIGENCE IN BUSINESS INFORMATION SOLUTIONS | 7 | Summer |
FINANCIAL MANAGEMENT AND DATA ANALYTICS | 6 | Summer |
DATA PRACTICE | 3 | Summer |
Year 2
COURSE | ECTS | Semester |
APPLICATION OF AI METHODS IN REAL CASES | 3 | Winter |
ADVANCED QVANTITATIVE METHODS AND AI METHODS IN FINANCE AND RISK MANAGEMENT | 7 | Winter |
DATA ANALYTICS FOR ACCOUNTING | 7 | Winter |
SUSTAINABILITY DATA IN BUSINESS | 7 | Winter |
FREE ELECTIVE COURSE 2 | 6 | Winter |
MASTER THESIS | 30 | Summer |
ELECTOVE COURSES 1, 2*
*In free elective course 2, the student may choose any other course from the range of courses offered in the second cycle study programmes of the etf, other members of the um or other universities.