Machine Learning

Program Overview

Machine Learning at the University of Warsaw is a full-time Master’s degree taught entirely in English at the Faculty of Mathematics, Informatics and Mechanics (MIMUW) in Warsaw, Poland. Running over four semesters with an October intake, the program is built on the faculty’s long research tradition in mathematics and computer science.

Students searching for an English-taught machine learning degree in Poland will find a distinctive mix here: heavyweight theory, practical engineering and a compulsory industry internship inside one curriculum. The program runs as a single track without separate specializations, an MSc seminar precedes the thesis defence, and full details, including the current admission timetable, can be reviewed on the official program page.

What You Will Study

In Machine Learning at the University of Warsaw, students may study the mathematical models behind machine learning, classical supervised and unsupervised methods, deep learning and large-scale distributed computing for training. Applications span visual recognition, natural language processing, robotics and reinforcement learning for games and recommender systems, with explainability of AI models addressed as well.

Practice is central: students program in Python with TensorFlow, PyTorch and scikit-learn, implement and train models on real datasets, build ML pipelines and deploy models to production. After the first year comes a compulsory one-month, 160-hour internship at ML companies, or research study visits instead, and an MSc seminar leads into the thesis. The full curriculum is on the official program page.

Who This Program May Suit

Machine Learning at the University of Warsaw may suit students who are already strong in mathematics and programming, whatever their bachelor’s field, since the entrance exam tests probability, linear algebra, discrete mathematics, Python, algorithms and machine learning itself. It can be a good option for those who want research-grade depth rather than a purely applied ML course.

The program may also appeal to students targeting data science or AI engineering careers who value the compulsory industry internship and deployment-focused skills. Comfortable English at B2 level is expected throughout. Compare the exam scope with your own preparation, and consider asking the StudyFits AI Advisor whether your background matches this kind of competitive program.

Admission Fit & Requirements

For Machine Learning at the University of Warsaw, applicants should review the exam-based admission route first. Any bachelor’s, master’s or engineer’s degree makes you formally eligible, but selection rests on a written entrance examination in English, held in person in Warsaw, covering probability and statistics, linear algebra, discrete mathematics, Python, mathematical analysis, algorithms and data structures, databases, concurrent programming, networks, operating systems and machine learning. At least 45 percent is needed to qualify, and candidates are ranked by score.

Language readiness means B2 English, shown through an accepted certificate, the university’s own assessment or previous English-medium education, with a waiver possible. Foreign diplomas may need an apostille, sworn translation and, depending on the issuing country, a NAWA recognition statement. Requirements should be reviewed against your own documents, and the StudyFits AI Advisor can help check whether your profile may fit.

Tuition Fees & Cost Signal

For Machine Learning at the University of Warsaw, students should review a two-tier fee structure: tuition is free of charge for EU/EFTA/EEA and Swiss citizens, while non-EU/EFTA students pay 3,300 EUR per year over the two-year program, a figure students should confirm on the official program page before budgeting.

The application fee is 100 PLN, the higher rate that applies because the field includes an entrance exam, plus a 22 PLN student ID fee after qualification. No program-specific scholarship is published, but NAWA programmes and central UW support such as needs-based aid and the rector’s scholarship may be open to eligible students. To weigh total costs against similar programs, ask the StudyFits AI Advisor for a profile-based check.

Career Paths & Future Options

Students considering Machine Learning at the University of Warsaw may use this program to move toward roles the curriculum explicitly targets: machine learning engineer, data scientist, AI researcher and ML software engineer. The faculty points to major technology employers as well as finance, medical, e-commerce, industrial and start-up settings, alongside academic research paths.

The deployment-oriented skills, building pipelines, optimizing models and putting them into production, may support engineering-heavy roles, while the mathematical depth can lead toward doctoral study or research positions. Outcomes depend on each graduate’s own path, so map these directions against your goals, or ask the StudyFits AI Advisor for profile-based guidance.

Study Location Advantage

Studying Machine Learning at the University of Warsaw in Warsaw, Poland gives students a base at a large public university in the national capital, with classes at the Ochota Campus of the Faculty of Mathematics, Informatics and Mechanics. The compulsory internship at ML companies connects the degree to the local technology job market.

For international students comparing destinations, Warsaw combines a major academic centre with the practical advantages of studying in Poland, including free tuition for EU/EFTA citizens in programs like this one. Mobility via MOST and Erasmus+ can add study periods elsewhere in Poland or Europe. Weigh the city against other options, or ask the StudyFits AI Advisor for location-based guidance.

Compare This Program With AI Advisor

Before choosing Machine Learning at the University of Warsaw, students can use the StudyFits AI Advisor to compare it with other English-taught ML, AI and computer science master’s programs. The Advisor reviews your academic background, exam readiness, language level, budget and destination preferences against the program’s demanding entrance requirements.

It can also help you weigh the free-for-EU versus 3,300 EUR per year fee structure, the two-year duration and the October intake against alternatives elsewhere. A short Advisor session, or the enquiry form on this page, is a low-effort way to test the fit before committing to the exam.

FAQ

Q: What is the Machine Learning MSc at the University of Warsaw?
A: It is a two-year, full-time Master’s taught in English at the Faculty of Mathematics, Informatics and Mechanics, combining the mathematics of machine learning with deep learning, applications such as NLP and computer vision, and a compulsory industry internship after the first year.

Q: Who may the Machine Learning program in Warsaw suit?
A: It may suit graduates from any field with strong mathematics and programming skills, since selection rests on a written exam. Students aiming at ML engineering, data science or AI research careers, with B2 English, can find the mix of theory and deployment practice relevant.

Q: What are the admission requirements for Machine Learning at the University of Warsaw?
A: Applicants need any higher-education diploma, B2 English proof, and must pass a written entrance exam in English covering probability, linear algebra, Python, algorithms and machine learning, scoring at least 45 percent. Exact rules and dates should be confirmed on the official program page.

Q: How much does the Machine Learning MSc in Poland cost?
A: Tuition is free for EU/EFTA/EEA and Swiss citizens, while non-EU students pay 3,300 EUR per year. The application fee is 100 PLN. Current fee details should be checked on the official program page before applying.

Q: How can I compare this program with other ML master’s options?
A: The StudyFits AI Advisor can compare this degree with similar English-taught programs based on your academic background, exam readiness, budget and goals, and the enquiry form on this page connects you with personal guidance before you decide.