Information for students admitted to second-cycle studies

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First, we kindly ask those of you who have been accepted for both the Master's degree in Computer Science and Machine Learning at the same time, to choose only one field of study already when submitting your recruitment documents.

The reason we ask is because:

ML studies are labour-intensive and time-consuming - they are difficult to combine with another field of study and most often also with work
ML and computer science have a lot in common - it doesn't really make sense to study both of them. Especially since many of the elective courses are also common.
you cannot count on any special concessions (such as double linking, a leave from one field of study to complete the other) for studying computer science and ML at the same time
the decision to conduct a second round of recruitment is made now. A second round is only possible if the limit of places is not fulfilled. Therefore, your decision to withdraw in August or later will block a place that could be used by someone else. If you choose now, we may be able to conduct September recruitment for at least one of these fields of study.

Even before the start of the academic year

The student council invites you to participate in the Friday integration meeting , the zero camp and to join the year groups on FB (details in the letter from the student council in Polish).

Adaptation days for incoming students are organised in the last week of September. Some of the meetings are addressed mainly to first-cycle students, but we welcome everyone to participate in meetings about USOS system and IT resources, and we highly encourage those who have not studied at our faculty.

We also invite international students to Pre-Welcome Days - online meetings to be held on 8 August, 13 August and 5 September 2024. (details: Pre-Welcome Days).

Registration for courses

In the student guide, you will find course schedules indicating courses required to complete each year of study. Please note that master's degree programmes in mathematics and computer science offer specialization tracks depending on the master seminar you will be assigned to. Different specializations offer different sets of obligatory courses and different groups of elective courses. Some of them need to be completed in the first year of study (for detailed information, see the entries on master's degree programmes in mathematics and computer science).

Studying Machine Learning and Bioinformatics and Systems Biology does not involve choosing a specialisation and all students follow the same study plan. It is important to note that in the case of bioinformatics, obligatory courses are not assigned to a specific year of study. Detailed information can be found in the entries for Machine Learning and Bioinformatics and Systems Biology.

First-year students of computer science, machine learning, and mathematics with a specialisation in Mathematical Methods in Finance will be administratively registered for all obligatory first-year courses (you will need to register for these courses on your own in the following years). You can choose your course class/lab group during the RDG round (direct registration for groups), the groups exchange system. Students who will be admitted during the September round will be administratively registered for classes/lab groups and will be able to make changes to their registration during the Group Exchange or the Coordinated Group Exchange round.

The dates of the registration rounds can be found on our faculty's USOSweb (by following the links News → Registration Calendar).

Please note: we do not administratively register ML students for obligatory courses that they have already completed during their bachelor's studies (more information here).

If your study programme requires you to complete elective courses or does not assign obligatory courses to a specific year of study, you need to register for them on your own. Seminar allocation for master's students recruited in the first round of admissions will be announced on 31 July 2025. You will then know your specialisation tracks early enough to take part in the course registration round, which lasts until 15 August (some of the elective courses are specialization courses).

If you forget about this, the next chance to register will be between 29 September and 4 October 2025.

Please refer to the student guide for details on registration and descriptions of each group of courses.

Mathematics students are expected to complete all specialization courses only by the end of the second year of study.

Course schedule

You will find the schedules of the individual classes for which you will be registered in USOSweb (by following the links: My USOSweb → Schedule→ My schedule).

Note to Machine Learning students: Bootcamp classes and additional hours for the DNN course are only held in the first weeks of October (other classes start at the same time and continue until the end of the semester).

When arranging your class schedule, note where each class is held. Classes are not always held at 2 Banacha Street.

More information (for students who have not studied at the faculty of MIM before)

When submitting your recruitment documents, you declared that you were aware of the fees charged at the faculty of MIM if you fail to pass the courses for which you are registered. Just to remind you, please read the following information on the rules for charging fees and the current rates.

Student mail account and USOSWeb

From now on, you will receive all information by email to the student account created for you. Use student email to contact faculty members. When writing to the student office, remember to put the abbreviation of your field of study (MAT/INF/BIOINF/ML) in the subject line of your message - thus your mail will reach the right person faster.

You will have two email addresses related to the two accounts generated for you:

a faculty of MIM account and an email address in the domain @students.mimuw.edu.pl

instructions for logging in to USOSweb and MIM student mail.

For more information, visit the Computer Lab website

and

google account and related email address @student.uw.edu.pl

Instructions for logging into @student.uw.edu.pl will be sent to the private email address you provided in IRK. You will also receive a password for your first login. Additionally, you will receive a message to your university email address about how to log into university systems (including USOSWeb) with your CAS account, as well as how to set and reset your password.

For more information see: University of Warsaw IT Services

If you have problems logging into USOSweb, please contact the student office (sstud@mimuw.edu.pl) and we will reset your password.

We strongly advise you to check both email addresses regularly (or set up an email redirect).

In MIM's USOWeb you will find, among other things, course groups at the faculty of MIM , take part in registration for courses at MIM, and apply for a place in a student residence through it. The rules for applying for a student residence are described on the University of Warsaw Student Welfare and Support Office website. Students looking for accommodation outside the university are encouraged to check the advertisements posted in the MIMUW students Facebook group.

Registration for general university courses takes place via the UW USOSWeb , according to the registration calendar there.