Scholarships

Ukrainian Catholic University together with partner companies offers several master program scholarships which fully or partially cover the tuition fee.

There are several types of scholarships that include:

  • the teaching assistance responsibilities (30-50% fee coverage),
  • research position at the Machine Learning Lab UCU (100% coverage).

Scholarship with the teaching assistance responsibilities

Faculty of Applied Science UCU and the partner companies grant scholarships that cover from 30% to 50% of the program tuition fee.

The scholarship includes the following responsibilities to work as a teaching assistant for a master or bachelor program course each semester with an overall load of eight hours per week on average. This condition shall remain true during the whole period of study on the master program.

Requirements:

  • the candidate teaching experience in particular fields of computer science and/or master program courses is desirable.

Please note that the program coordinator panel can review the scholarship status at any time (up to its complete cancellation) if the scholarship holder does not comply with the above rules.

A scholarship holder signs the following memorandum at the beginning of the study process: Меморандум зі стипендіатами Data Science UCU, 2018-2020 (Ukrainian).

 

Scholarship for women in Data Science (with TA’s responsibilities)

Faculty of Applied Science UCU grant scholarship that covers 50% of the program tuition fee. This proposition is valid for women who want to master Data Science field. The scholarship includes the responsibilities to have a role of teaching assistant for a master or bachelor program course each semester with an overall load of eight hours per week on average. The conditions are the same as for the TA’s scholarship mentioned above.

 

Scholarship with a research position at the Machine Learning Lab UCU

The Machine Learning research laboratory operates on a Faculty of Applied Sciences. We are looking for talented students who are willing to do research in the various fields of applicational Machine Learning under the supervision of our senior faculty members.

The scholarship requirements include:

  • relocation to Lviv,
  • a test period of two-three months, and
  • a full-time job at the Machine Learning Lab after the successful completion of the test period.

The scholarship covers 100% of the program tuition fee and includes a modest salary.

Please note that the program coordinator panel can review the scholarship status at any time (up to its complete cancellation) if the scholarship holder does not comply with the above rules.

A scholarship holder signs the following memorandum at the beginning of the study process: Меморандум зі стипендіатами Data Science UCU, 2018-2020 (Ukrainian).

Scholarship with the internship position at a partner company

In the past, some partner-companies provided a scholarship with 90% tuition fee coverage and an intern position provided at their office. For the yesr 2019, there are no planned scholarship options of such kind.

Application procedure

Scholarship application and selection procedures involves three phases

  1. An applicant should fill in the online application form and send it no later than June 1, 2019. The following information is crucially important:
    • Motivation statement with the clearly explained need for scholarship
    • Computer Science & Data Science background description
    • A list of two to three referees whom the scholarship committee may contact and ask for a recommendation letter
    • Applicant’s Curriculum Vitae with educational and job history
  2. Based on the application information, the applicant might be invited for the online interview conducted by the faculty members in the period of June 10 to July 10, 2019.
  3. Based on the application and online interview, the shortlisted applicants will be invited for the on-campus interview during the admission campaign period of July 18 to July 27, 2019.

Please note that faculty officials and members are not obligated to comment on the interview process and scholarship selection results.

For more information, please contact us via [email protected].

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