Data Analytics
Bakalářské studium v kombinované formě v anglickém jazyce.
Program je možné studovat pouze jednooborově. Studium je zpoplatněno částkou 14 000 EUR za akademický rok.
Co se naučíte
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“
Praxe
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.
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Uplatnění absolventů
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.
Podmínky přijetí
Údaje z předchozího přijímacího řízení (přihlášky 15. 1. – 31. 3. 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
Kritéria hodnocení
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.
Doporučená literatura
The successful admission is not based on the study of literature.
Předměty – příklad průchodu studiem
Jak může vypadat vaše studium:
-
1. semestr
- Introduction to Databases
- Mathematics I
- Mathematics II
- Script Languages
-
2. semestr
- Academic and Business Integrity, Writing, and Communication
- Introduction to Python
- Mathematics III
- Mathematics IV
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3. semestr
- Data Curation and Security
- Introduction to Object-Oriented Languages
- Mathematics V
- Probability
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4. semestr
- Applied Data Analytics
- Bachelor's practice/capstone project
- Project Management
- Statistics
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5. semestr
- 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. semestr
- Cybersecurity
- Machine Learning and Algorithms on Graphs
- Modeling Complex Systems
Podrobné informace o předmětech studijního plánu
Informace o studiu
| Zajišťuje | Přírodovědecká fakulta | |
|---|---|---|
| Typ studia | bakalářský | |
| Forma | prezenční | ne |
| kombinovaná | ano | |
| distanční | ne | |
| Možnosti studia | jednooborově | ano |
| jednooborově se specializací | ne | |
| v kombinaci s jiným programem | ne | |
| Doba studia | 4 roky | |
| Vyučovací jazyk | angličtina | |
| Bodové hranice a počty přijatých z minulých let | ||
|
Poplatky za studium
Studium v cizích jazycích je zpoplatněné, platba je za akademický rok |
14 000 EUR Více informací |
|
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