Master in Big Data Science


Area of Studies

mathematics, informatics



Degree (in English)

Master Degree

  • English
Course Duration

4 semesters

ECTS points



Kozminski University

Tuition and Other Fees


First year:

Admission fee 100 PLN

Tuition per semester when paid in full: 11900 PLN
Tuition per semester in 5 installments: 5 x 2400 PLN

Second year:

Tuition per semester when paid in full: 12500 PLN
Tuition per semester in 5 installments: 5 x 2520 PLN

Application Deadline(s)

EU citizens - 20 September, non-EU citizens - it is advised to apply before 1 August because of the visa process

Course Description

Course Profile

Taking part in this unique Big Data program enables students to link theory with practice -  simultaneously gaining professional experience. From the first semester on, each student gets the chance to work with an assigned university mentor as well as company mentor to tackle the finance big data world. The partnership with global Big Data companies is a key asset of the program. Apart from excellent networking opportunities, classes are to some extend conducted by practitioners. Real-life business case studies are solved by the students in collaboration with the mentors. The majority of classes takes place in computer labs with access to platforms such as Bloomberg and Reuters. We encourage students to follow their passion and attend programming languages within their area of interest. To round up the experience, students take part in a trainee program during the last semester – with a strategic partner of their choice. There is no better way to start a career!

  • The Master in Big Data Science is a two-year program conducted in English, which is held in collaboration with industry experts from global companies. The studies simultaneously prepare students to work in big data in the finance field. Aside from extensive finance knowledge, practical technical skills will be taught, such as identifying, collecting, analysing, interpreting, and transforming data in order to face the big data challenges in financial world. Furthermore, new trends in both areas will be presented, from venture capital to cloud computing.
  • The attained expertise will allow graduates to handle business processes from data capture over to processing and visualisation, enabling them to participate in the decision-making process whether from a strategic or financing standing point by applying their problem-solving abilities and outside the box thinking. As a result, they will have the widest career opportunities in all areas
  • Become a Data Scientist with a Microsoft Certificate. Thanks to the partnership with Microsoft on the Big Data Science program, our students will have the opportunity to participate in a special Microsoft workshop, which will make it possible to pass the Microsoft certificate exam. Microsoft will also provide scholarships for the best students, which will waive the examination fee!Major on the program:

During the first semester of studies, students have the possibility of choosing the Health Economics & Big Data Analytics major. In this case, the graduate will receive a master's degree in Big Data Science with a major in Health Economics & Big Data Analytics.

Education Requirements

Bachelor/Master degree diploma, certificate confirming proficiency in English

Other Requirements

Admission for full-time and part-time Master programs at Kozminski University is based on 2 criteria: GPA on your previous studies and results of an online entry test. Maximum score is 100 points - 50 points for the test and 50 for GPA. Candidates who scored at least 60 points from both criteria will be qualified to the program.


Admission team: