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Degree programmes (first-cycle,second-cycle, long-cycle) - 2021/2022

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Machine Learning

Details
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
WWW address https://www.mimuw.edu.pl/
Required document
  • Higher education
  Ask about this programme
There is currently no active phase for this programme.

Upcoming phases in this registration:
  • Phase 1 (01.06.2021 00:00 – 25.06.2021 23:59)

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.


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.

The qualification is based on the results of the entrance exam.

Form of examination: written, in English

The scope of the examination problems is available here.

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' competences to undertake studies conducted in English language

A positive result of the admission procedure confirms at the same time the competences of candidates to study in English in the aforementioned field of study (this applies to persons who do not possess a document recognized by the University of Warsaw certifying English language proficiency at the level of at least B2).

Information on documents certifying knowledge of English language. >> Check! <<

 

Deadlines

Date of entrance exam: 1st of July, 2021, 10 A.M., Faculty of Mathematics, Informatics and Mechanics, Banacha 2 str., rooms: 1770, 2070, 2100, 2180, 3180, 3320, 4420

Announcement of results: 16th of July, 2021

Reception of documents:

  • I round: 19th-23rd of July, 20th-24th of September, 2021
  • II round (in case of not fulfilling the limit during I round): 27th-28th of September, 2021
  • III round (in case of not fulfilling the limit during II round): 29th-30th of September, 2021

Payments

Application fee

Student's ID payment (ELS)

 

Required documents

List of required documents submitted by candidates qualified for studies

 

Additional information

Find us on the map: Faculty of Mathematics, Informatics and Mechanics