Business Analytics and Data Science

In power from: 6 Mar 2023

Registration criteria

Qualification rules

  1. Admission is open to both Polish citizens and international students 
  2. Eligibility for studies will be based on a ranking of points obtained based on;
    a) Assessment of the completed undergraduate course (0 to 30 points),
    b) cover letter (0 to 10 points),
    c) Letter of reference (0 to 10 points),
    d) an online interview*, verifying knowledge of basic mathematics, quantitative methods and  elements of programming (up to 50 points).
     NB: Please contact the Admissions Office for further guidance.
  3. The programme is offered on a tuition-fee paying basis to candidates holding a bachelor's degree or any other equivalent degree, which entitles them to undertake the Master’s degree programme in the country where the documents were issued. Documents must be appended with a legalisation or an apostille.
  4. A candidate must submit a complete set of application documents, including the NAWA individual recognition statement and English certificate (more information).
  5. Registration is open within the admission period (April - September) and until all the available vacancies are filled.
  6. The required registration fee payment is PLN 100. Please check the instructions on how to make a payment in the system.

Tuition fee:
1st year € 2800
2nd year € 2800

An Early Bird Discount of 100 euros is offered for the one-time payment for the first year of studies made by 30.06.2025!

 

Admission enquiries: studyinenglish@umcs.pl

* An online interview details

Candidates for the Master's program in Business Analytics & Data Science should pay special attention to the following areas of knowledge in mathematics and computer science, which will be covered during the interview. Several open-ended or single/multiple-choice questions will be asked to assess basic mathematical knowledge, computer science knowledge, and logical thinking skills.

Mathematics & Computer Science

1. Functions and their properties (e.g. even, odd, concave)

2. Algebraic relationships and equations

3. Simple algebraic calculations

4. Simple logical problems with mathematics (e.g. solving, discussing solution, logical thinking)

5. Basic knowledge of Microsoft Excel (e.g. key formulas)

6. Understanding basic algorithms & programming concepts (e.g. recursion, loops)

7. Converting numbers between binary, decimal, octal, hexadecimal

Suggested sources

1. Dawkins, P. (2007). Calculus (the textbook is available as a free PDF).

2. Learn Microsoft Office 2019 (2020). A comprehensive guide to getting started with Word, PowerPoint, Excel, Access, and Outlook, Packt Publishing (or other similar).

 

3. Any book on introduction to algorithms, e.g. available free of charge at https://www.infobooks.org/free-pdf-books/computers/algorithms/