Data Analytics
Bachelor's degree in combined form. The language of instruction is English.
The programme can be studied only as a single subject. Tuition fee is €14,000 per academic year.
What will you learn?
The Bachelor's program in Data Analytics intends to offer a unique professional cross-disciplinary program, meant to equip practitioners (international and domestic, including those already working in various IT branches) with the mathematical foundations, problem-solving skills, and mindset. At the same time, mathematics-oriented students will pick up practical skills and applied vision in data analytics. Close cooperation with a consortium of industrial partners will be built by leveraging our research and consultancy cooperation networks will add a strong practical component to the program, create immediate placement opportunities for the alumni, and attract resources for funding the best students. We aim at attracting the top student talent, and Brno seems to be a perfect spot for hosting it, due to its cultural benefits, central European location, and relative affordability.
“Mathematical thinking is the key to understand Data”
Practical training
This professional program includes the bachelor practice / capstone project worth 30 credits, which is realized as practical training at some of the confirmed commercial partners (equivalent to one semester full work position), resulting also in a technical report or theoretical paper.
Further information
Career opportunities
The graduates of this program acquire knowledge and skills necessary to perform independent work in R&D or any practical area related to mathematical modelling and data analysis. They will be ready to start independent businesses or to lead implementations of larger projects in teams, too. They can also continue in most ambitious continuing education related to Mathematics, Statistics, or Data Science at MU and worldwide.
Admission requirements
Data from the previous admission procedure (15 Jan – 31 Mar 2024)
See more information regarding the admission process here. Mandatory parts of the application form are a professional CV and motivation letter. The applications will be assessed and evaluated on a rolling basis between 15 January and 30 April. Applicants may be admitted directly without an entrance exam if they submit one of the following documents: The following illustrative list of international competency confirmation documents would support a direct admission to the studies without further tests, once acknowledged:
- winning a national or international olympiad in relevant areas – confirmation/certificate is required
- success in similar international student research competitions in relevant areas – confirmation/certificate is required
- essential training courses run by multinational companies or work experience in relevant areas – confirmation/certificate is required
- successful completion of Phase 1 of the MDA Bootcamp certificate – now or in the past, see the Bootcamp page
Criteria for evaluation
Admission is based on the results of an admission process and the programme's capacity. The applicants can achieve up to 100 points for the Entry Trial Test. The evaluation standards will be listed in the task specification. The threshold to successfully pass is 75 out of 100.
Recommended literature
The successful admission is not based on the study of literature.
Courses – curriculum examples
An example of your study plan:
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1. semester
- Introduction to Databases
- Mathematics I
- Mathematics II
- Script Languages
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2. semester
- Academic and Business Integrity, Writing, and Communication
- Introduction to Python
- Mathematics III
- Mathematics IV
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3. semester
- Data Curation and Security
- Introduction to Object-Oriented Languages
- Mathematics V
- Probability
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4. semester
- Applied Data Analytics
- Bachelor's practice/capstone project
- Project Management
- Statistics
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5. semester
- Advanced Databases and Big Data
- Artificial Neural Networks
- Data Visualization
- Distributed Computing and Cloud Technology
- Geometric Analysis
- Image Processing and Recognition
- Machine Learning Methods
- Natural Language Processing
- Network Science
- Numerical Analysis and Scientific Computing
- Optimization and Modelling
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6. semester
- Cybersecurity
- Machine Learning and Algorithms on Graphs
- Modeling Complex Systems
Detailed information about study plan courses
Follow-up studies
After completion of the Bachelor's studies, it is possible to continue further studies in any Master's degree program at MU and worldwide (after satisfying the admission requirements specific for the choice).
Study information
| Provided by | Faculty of Science | |
|---|---|---|
| Type of studies | Bachelor's | |
| Mode | full-time | No |
| combined | Yes | |
| distance | No | |
| Study options | single-subject studies | Yes |
| single-subject studies with specialization | No | |
| major/minor studies | No | |
| Standard length of studies | 4 years | |
| Language of instruction | English | |
|
Tuition fees
The studies are subject to tuition, fees are paid per academic year |
€14,000 Find out more |
|