Machine Learning, full-time, second cycle

Field: Science and natural sciences

Discipline: Computer science

Language of instruction: English

Professional degree you will be awarded after completing studies : Magister (MSc)

Where and when your classes will take place:

Place: Classes are held at the Ochota Campus, Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, 2 Banacha Street.

Time: Classes are held from Monday to Friday between 8:30 am and 8:00 pm.

What kind of knowledge, skills and competencies you will acquire at this field of studies

Studying Machine Learning, you will gain solid mathematical and computer science foundations to efficiently design, train and implement machine learning models.

We will provide you with knowledge on:

• mathematical models behind machine learning,
• classical supervised and unsupervised learning methods as well as deep learning techniques,
• large-scale distributed computing systems needed to train machine learning models,
• machine learning techniques used in visual recognition, natural language processing, robotics and reinforcement learning,
• ways to explain how artificial intelligence models work.

Studying Machine Learning will give you skills in:

• programming in Python using ML libraries, e.g. TensorFlow, PyTorch, scikit-learn,
• implementing and training ML and AI models on real-world datasets,
• creating ML processing pipelines and deploying ML models in production environments,
• optimizing code and models for performance and efficiency

In addition, we will prepare you for the changing needs of the environment by developing your social competences in:

• critical and analytical thinking - the ability to assess the quality of models and select appropriate algorithms,
• solving problems using ML algorithms in real-world applications,
• teamwork
• communicating results - presenting analysis and recommendations in a way that can be understood by a wide audience,
• the need for continuous improvement - ML is a fast-paced and dynamic field that requires constant learning of new technologies and methods.

Studying ML will provide you with not only theoretical knowledge, but also practical skills that are valued in the technology industry.

Where you can find a job after completing studies

With a degree in Machine Learning, you can find work in a wide range of industries, as machine learning is widely used in data analysis, automation and artificial intelligence. Common career paths include positions such as ML Engineer, Data Scientist, AI Researcher or ML Software Engineer. While tech companies such as Google, Meta, Microsoft and OpenAI are heavily recruiting ML specialists, the financial, medical, e-commerce or industrial sectors are also increasingly deploying AI models to optimize processes. You can find jobs in large corporations, start-ups, as well as in academic or research environments.

Are there different specialties and specializations at the field of studies

We do not offer any specialties or specializations in the Machine Learning field of study.

What will you learn during the studies

Mathematical foundations are a key part of the ML degree programme, as they pave the way to development of models and algorithms in the field of machine learning. We develop competence in fundamental mathematical skills, providing proficiency in advanced statistical methods and neural network architectures. Mathematical analysis supports the understanding of data and the interpretability of models, which is important for the ethical implementation of artificial intelligence.

During ML studies you will explore advanced neural networks, learn how to train, optimize and solve typical problems. You will get to know how to control intelligent systems combining decision-making algorithms and machine learning in robotics. You will master image analysis and natural language processing techniques. You will understand how reinforcement learning can be applied to robotics, games and recommender systems.

We also offer activities to develop practical skills in machine learning. You will learn how to communicate effectively in teams and manage projects. During internships you will gain experience in companies, working on real projects and networking with experts. You will learn how to design algorithms for large datasets and how to use modern computational tools. Team projects will help you improve your collaborative and problem-solving skills. And during the MSc seminar you will deepen your knowledge in your chosen area before defending your thesis.

Will you pursue internship during the studies

After the first year of the Machine Learning major, you need to complete an internship, preferably during your summer break (July, August). The internship lasts for one month and should cover a total of 160 hours. Internships take place in companies dealing with machine learning applications. Instead of the internship, you may complete two or three several-day study visits in research groups working in fields related to machine learning.

Is it possible to study one/several semesters at other university

Yes, you can take part in the “MOST” or “ERASMUS+” programmes. The University of Warsaw participates in both programmes.

Where you can find more information on the study programme

You can find more information about Machine Learning studies in the Guide for students of Machine Learning at the Faculty of Mathematics, Informatics and Mechanics and on the website describing admissions to fields of study run by the Faculty of Mathematics, Informatics and Mechanics.

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 at the IRK website.

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: 1st of July, 2025, 10 AM - 1 PM, Faculty of Mathematics, Informatics and Mechanics, street Banacha 2, rooms 2070, 3180, 4420

Announcement of results: 21st of July, 2025

Reception of documents: 

• I round: 22nd-24th of July, 2025
• II round (in case of not fulfilling the limit during I round): 25th, 28th of July, 2025
• III round (in case of not fulfilling the limit during II round): 29th-30th of July, 2025
• additional rounds will be announced in case of not fulfilling the limits

Payments

Application fee

Student's ID payment (ELS)

Required documents

List of required documents submitted by candidates qualified for studies

Additional information

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