Overview

Key Features

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 of the Machine Learning programme offered at the University of Warsaw 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.

Programme Structure

Courses include:

Ideas and informatics

Statistical machine learning

Deep neural networks

Robot control

Visual recognition

Natural language processing

Key information

Duration

Full-time
- 24 months

Start dates & application deadlines

Starting 2026-10-01 00:00:00
- Apply before 2026-07-09 00:00:00

Language

English

TOEFL^® IBT

75

Schedule TOEFL®

Credits

120 ECTS

Delivered

On Campus

Campus Location

Warsaw, Poland

Disciplines

Machine Learning

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

TOEFL^® IBT

75

Schedule TOEFL®

Other requirements

General requirements

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 will cover topics related to mathematical analysis, linear algebra, foundations of mathematics, discrete mathematics, probability theory and statistics, numerical methods, algorithms and data structures, concurrent programming and the theory of languages and automata.
The scope of the examination problems will be published at the IRK system.
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.

Student Insurance via Studyportals Partner

Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.

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Starting from €0.53/day, free cancellation any time.

Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at University of Warsaw and/or in Poland, please visit Student Insurance Portal.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

Free
EU/EEA Applies to you

Applies to you

EU/EEA Nationals

Free

Additional Details

Free of charge.

Living costs

Warsaw

Poland

2247 - 3792 PLN / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.

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Scholarships Information

Below you will find Master's scholarship opportunities for Machine Learning.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

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