Machine Learning, full-time, second cycle


In power from: 4 Dec 2023

Registration criteria

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: 

Payments

Application fee

Student's ID payment (ELS)

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

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