Degree programme objectives
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.
Study plans
Admission ProceduresAdditional admission to Bachelor's programme Data Analytics 2024/2025Submission deadline until midnight 15/8/2024
- Information on entrance examinations designed for this degree programmeSee 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 23 May and 15 August.
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
Applicants not accepted directly will be asked to enter Phase 1 of the MDA Bootcamp. They will be approached by email and get the Entry Trial Test task.
Should you have any questions, feel free to contact us at admission@sci.muni.cz
Please, always check your spam folders as it can happen that our e-mails ends up in there. - Recommended reading for the examinations under this fieldThe successful admission is not based on the study of literature.
- Evaluation criteria valid for the applicants applying for a place on this degree programmeAdmission 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.
Studies
- Objectives
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.
- Learning Outcomes
After successfully completing his/her studies the graduate is able to:
- explain the main concepts and tools of Mathematics, Statistics, and Data Science
- actively employ mathematical approach to formulation and solution of problems
- combine diverse mathematical tools to enhance or create algorithms in the Data Science applications
- implement software solutions to diverse tasks related to Mathematics, Statistics, and Data Science
- participate in R&D teams, contributing the expertise in Mathematics, Statistics, and Data Science
- generate and advocate her/his professional decisions and bear full responsibility for them
- positive professional self-realization, self-education and self-reflection
- Occupational Profiles of Graduates
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.
- 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.
- Goals of Theses
This is a professional program and there will be no bachelor thesis involved in the program. Instead, there is the final technical report or theoretical paper resulting from the bachelor practice / capstone project worth 30 credits, which is a crucial milestone in the study.
- Access to Further 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).
- How is practical training in a foreign language ensured
The entire program will be taught exclusively in English. We do not count with including any further working language.
- List of Workplaces where the Practical Training is to Take Place
The list is not available yet.
The consortium of commercial partners will be formed before the first admission procedure will be opened in Spring 2024, i.e., in the first months of 2024. There is a project financing of this issue available, aiming at a dynamic group of collaborating units structure leveraging the research networks of the Digital City Lab, similarly to the earlier partners collaborating with the leader of this Lab, prof. Stanislav Sobolevsky, which included BBVA, Lockheed Martin, Future Cities Catapult, Arcadis as well as US federal organizations, such as Department of Transportation, Department of Energy, National Geospatial Intelligence Agency, National Research Energy Lab.
We prefer to postpone the establishment of the consortium, since the partners need to see a complete approved programme, as well as results of experimental hackathon type mock acquisition of prospective students in the second half of 2023 (also financed by the mentioned project).
Basic information
English