Statistical Data Science
Bachelor's degree in full-time form. The language of instruction is Czech.
The programme can be studied only as a single subject.
What will you learn?
This program will focus on data science from the perspective of four fundamental pillars of applied mathematics and statistics, namely: (1) statistics and statistical modeling, (2) mathematical modeling, (3) computational statistics and numerical mathematics, (4) programming (implementation of methods in R, Python, SAS, and SQL) within data science.
The program is designed for students interested in working with real-world data for mathematical and statistical modeling, addressing environmental, social, and economic aspects when solving contemporary societal challenges.
The high demand in the job market across various industries that collect and analyze data demonstrates the program's broad applicability.
Upon completing this program, students will be able to apply their knowledge in various scientific fields that involve data collection and analysis, including:
Medicine (clinical and medical research, epidemiology, medical diagnostics),
Geography, Ecology and hydrology (climate change, weather forecasting, extreme events like floods), Economics and finance (econometrics, portfolio theory, and risk management at financial markets). This new three-year Bachelor's program will build upon and innovate courses from the existing Bachelor's program in Mathematics, while also integrating specific courses from the Faculty of Informatics.
The preparation of this study program was supported by the project 0016/NPO74_PZDU_VS NPO 7.4 – Support for Green Skills and Sustainability at MU.
Practical training
An optional part of the program is a professional internship lasting 300 hours, worth 10 credits, which occurs in the final semester of study.
Career opportunities
Graduates of the Statistical Data Science program will find extensive career opportunities in areas related to data analysis. They will be capable of advanced data processing, utilizing machine learning, predictive analysis, and algorithms, and providing insights for strategic decision-making. They can work in banks, insurance companies, or investment firms, focusing on identifying, measuring, and managing risks and developing mathematical and statistical models for financial markets and trading. In technology companies, they will contribute to projects focused on designing and implementing models for automated decision-making. They will also play a key role in business and marketing companies by evaluating marketing campaigns and their impact on company performance and tracking and predicting customer behaviour to personalize services. In healthcare, they can analyze clinical studies and epidemiological data. They will also be valuable as business consultants, helping implement data-driven strategies. Thanks to their analytical and programming skills, graduates will contribute to strategic decisions focused on sustainability, social impacts, and the economic aspects of environmental projects.
Study options
Single-subject studies
Students have a pre-defined list of required courses, which are supplemented with selective and elective courses. The student pays full attention to the single field of study chosen.
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Full-time studies in czech
What will you learn?
Courses – curriculum examples
An example of your study plan:
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1. semester
- Differential and Integral Calculus
- Introduction to Programming and Algorithms
- Linear algebra for data science
- Mathematical Seminary I
- Mathematical Software
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2. semester
- Algorithmization and numerical computations
- Mathematical analysis for data science
- Numerical Methods I
- Python for Data Science
- Statistics I
- Algorithmization and programming
- Introduction to Programming and Algorithms II
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3. semester
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4. semester
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5. semester
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6. semester
- Optimization
- Applied Machine Learning
- Applied Machine Learning Project
Detailed information about study plan courses
Follow-up studies
Graduates of the Bachelor's degree program may (upon meeting the admission requirements) continue in any follow-up Master's degree program. At the Faculty of Science, they can continue in the follow-up Master's program in Statistical Data Science. Additionally, they may continue in the follow-up study program in Applied Mathematics, which offers a specialization in statistics and data analysis, among other areas.
Study information
| Provided by | Faculty of Science | |
|---|---|---|
| Type of studies | Bachelor's | |
| Mode | full-time | Yes |
| combined | No | |
| distance | No | |
| Study options | single-subject studies | Yes |
| single-subject studies with specialization | No | |
| major/minor studies | No | |
| Standard length of studies | 3 years | |
| Language of instruction | Czech | |
| Collaborating institutions | ||