Study programmes
Finance and Data Analytics
Study program:
Finance and Data Analytics
SP code:
N0311A050027
Study form:
full-time
Study type:
Master's (post-Bachelor)
Standard duration of study in years:
2
Language of instruction:
English
Title:
Mgr.
Title:
No
More details
SP name in Czech:
Finance a datová analýza
SP name in Latin:
Rerum fiscalium ac datorum analysis
SP profile:
academically oriented
SP characteristics
The goal of the Master in Finance and Data Analytics program is to train specialists in the key areas of finance and data analytics. The program focuses on innovative approaches in statistical analysis, mainly Big Data processing and modeling in finance. Students have the opportunity to gain deep knowledge of key theoretical principles in finance and data analytics that will prepare them for a career in finance, banking and other industries that cope with financial data.
Students are exposed to detailed and advanced knowledge of both financial theory and applied financial methods, with focus on computational aspects of the methods. In particular, courses include Big Data analysis, modern approaches to asset pricing using statistical learning, understanding of financial instruments, advanced econometrics, behavioral finance and time series analysis including spectral analysis.
The curriculum is also designed to qualify students for high quality doctoral programs in the fields of finance and data analytics at leading European universities.
Students are exposed to detailed and advanced knowledge of both financial theory and applied financial methods, with focus on computational aspects of the methods. In particular, courses include Big Data analysis, modern approaches to asset pricing using statistical learning, understanding of financial instruments, advanced econometrics, behavioral finance and time series analysis including spectral analysis.
The curriculum is also designed to qualify students for high quality doctoral programs in the fields of finance and data analytics at leading European universities.
More details
Graduate profile for the public:
Graduates of the Master in Finance and Data Analytics program are qualified for advanced quantitative analysis in the field of data analysis of financial markets with emphasis on techniques of statistical modeling and Big Data processing. Focusing on modern statistical analysis, data modeling, programming, big data and machine learning techniques, the curriculum offers thorough understanding and advanced skills in theoretical and applied finance with emphasis on computational aspects in finance. Graduates gained quantitative, statistical and technical skills crucial for modern finance and have the expertise to independently define and creatively solve a broad variety of theoretical as well as practical financial problems.
Related accreditations
No related accreditations have been found
Teaching provided by
Faculty:
- Faculty of Social Sciences (FSV)
Cooperating institutions:
No
More details
Foreign university joint diploma type:
No
External department:
No
Classification
Area of education:
- Economic Fields
SP structure
Specialisation:
No
Double-curriculum study:
No
Data for persons with disabilities
Contact person for persons with disability:
Mgr. Denisa Šmejkalová
Web page for persons with disability:
Further information about the study of persons with disability:
Personal provision
Garant SP:
- prof. PhDr. Jozef Baruník, Ph.D.
Study plans
Plans according to accreditation:
full-time study form with language of instruction English
Instruction
Admission procedure requirements:
Study programme (branch) is open for applicants for the academic year
2026/2027:
- Faculty of Social Sciences - Admission procedure requirements
Admission procedure requirements in the acaademic year
2025/2026:
- Faculty of Social Sciences - Admission procedure requirements
Can be studied in combination
No combinations have been found
