| Code | S2-ML |
|---|---|
| Organizational unit | Faculty of Mathematics, Informatics, and Mechanics |
| Field of studies | Machine Learning |
| Form of studies | Full-time |
| Level of education | Second cycle |
| Educational profile | academic |
| Language(s) of instruction | English |
| Minimum number of students | 5 |
| Admission limit | 40 |
| Duration | 2 years |
| Recruitment committee address | rekrutacja@mimuw.edu.pl tel. (22) 55-44-401 |
| WWW address | https://www.mimuw.edu.pl/ |
| Required document | |
| Ask a question | |
The second degree program in Machine learning offered at the University of Warsaw was created as a response to the rapidly growing interest in information processing technologies in this area. The degree program is designed on the basis of well-functioning and long-established practices in the study field of computer science. The recently developed curriculum has been prepared taking into account current developments in computer science in the area of machine learning and artificial intelligence and their applications in the business.The content is designed to address the needs of both those students who view the knowledge and skills they will acquire during the studies as an asset in their career path, and those particularly gifted in exact science, who are planning a research career. The Faculty of Mathematics, Informatics and Mechanics is recognized and appreciated in the world.
During the second cycle studies, the primary emphasis is on learning creative problem solving, the ability to build generalizations and pose questions. Graduates of the second-cycle studies become proficient not only in the use of selected information processing technologies in the field of machine learning, but they are also able to use the acquired knowledge and skills in applications unrelated to the studied discipline, for example in interdisciplinary research teams. As a result, graduates are prepared for careers that require significant knowledge of machine learning to cope with contemporary challenges facing computer solutions. At the same time, students are included in the research conducted at the university, which prepares the graduates to conduct scientific research activities and undertake doctoral studies.
Studies in machine learning allow future graduates to acquire advanced knowledge and skills in techniques used in machine learning, including: statistical methods for machine learning, deep neural networks, reinforcement learning, and explanation of results obtained from machine learning procedures. They also become familiar with basic machine learning application domains such as visual recognition, autonomous device control, and natural language processing. As a result, graduates are prepared to design, oversee, and critically analyze IT projects with significant machine learning components, to serve in expert roles in machine learning, and to be leaders beyond the university world. Graduates of the Master of Science in Machine Learning have the knowledge and skills to pursue a third-cycle degree in computer science.
Most classes are held in the building of the Faculty of Mathematics, Informatics and Mechanics, Ochota Campus, 2 Banacha St. Programming classes are held in modern computer laboratories.
The field of study Machine Learning was created as part of the project Akademia Innowacyjnych Zastosowań Technologii Cyfrowych, in the scope of the Digital Poland programme, co-funded by the European Regional Development Fund. Enrolling in this field of study is associated with joining the project.
Admission procedure for candidates with Polish diplomas
Minimum percentage of points needed to be qualified: 45%
Admission to the second-cycle studies programme may be granted to candidates holding a bachelor's degree, master's degree, engineer's degree or an equivalent degree in any field of study.
The qualification is based on the results of the entrance exam.
Form of examination: written, in English. The exam covers problems related to probability theory and statistics, linear algebra, discrete mathematics, Python, mathematical analysis, foundations of mathematics, numerical methods, algorithms and data structures, databases, concurrent programming, computer networks and operating systems.
The scope of the examination problems will be described in the appendix of this document (Entry exam scope).
On the basis of the results of the written qualification examination, the Admission Committee creates a ranking list of candidates, taking the number of points from the examination expressed as a percentage of each candidate's score.
Admission procedure for candidates with foreign diplomas
The same rules apply as for candidates with a diploma obtained in Poland.
Checking the candidates' competence to undertake studies conducted in the English language
A positive result of the admission procedure confirms at the same time the competence of candidates to study in English in the aforementioned field of study.
Information on documents certifying knowledge of the English language. >> Check! <<
Deadlines
Date of entrance exam: 28th of June, 2024
Announcement of results: 18th of July, 2024
Reception of documents:
- I round: 24th-26th of July, 2024
- II round (in case of not fulfilling the limit during I round): 29th-30th of July, 2024
- additional rounds will be announced in case of not fulfilling the limits
Payments
The studies are payable for citizens of Non-UE/EFTA countries (EEA parties) and Switzerland - tuition fees
Required documents
List of required documents submitted by candidates qualified for studies
Additional information
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