Master in Big Data Science 2-year program

Watch the film about the program 

About the program 

Information regarding the organization of studies in the fall semester 2020/2021.

Feel invited to join the newly formed Facebook group for candidates of the program.

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!

Partners of the program:



Available 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.

A word from the program's coordinator

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!

Professor Aneta Hryckiewicz

Student testimonials

As a part of my Master degree, I was lucky enough to be selected for project with Goldman Sachs. Currently, I am working with the Risk Department that mainly focuses on preventing the company from losing money, rather than making money for it.

During this project, I have learned much not only about financial aspects, but also about programming and the real struggles of Big Data Analysts. I have discovered that collection and data preparation can be very challenging, even more challenging than using this data for a problem solution. It was a practical example of a project that I might get in my future career in Big Data field. All in all, I am very grateful that Kozminski University offers the students such great opportunities to learn, to develop new skills, to discover talents that we did not know existed within ourselves. I am looking forward for more challenges and opportunities during my studies and career!

Shafiga Akhudova
Student of the program

I came to Warsaw looking for a practical and solid education in the field of Big Data. Being confident that this field is the hottest professional path I could envision for myself, I selected Kozminski to get it started.

At the university, I have the great opportunity not only to obtain practical knowledge from lecturers but also to collaborate on a weekly basis with Goldman Sachs on building a financial predictive model. This project is just the cherry on the top of the cake that makes my academic life exciting, challenging and that also will get my career started in Warsaw or elsewhere in the world with just the right set of skills needed in this industry.

João Pereira
Student of the program


A word from a program's lecturer

The aim of the Big Data Science course is to teach students skills that constitute a practical value at work and, simultaneously, a great asset in students’ CVs. Students are taught how large data sets are handled in accounting, finance and banking. Concepts of relational databases are presented to learn how to work with ‘real’ data whilst practicing SQL programming by solving exercises at various levels of difficulty during each class. I strongly advise students to participate in all classes as we are consistently diving into more advanced concepts. As utilization of analytical software is a must – used by specialized data-driven professionals in finance, we give students the opportunity to become experts, in order to successfully master the future work challenges of a data-driven world.

Professor Łukasz Kozłowski

A word from the program's partner: Microsoft

In today’s world of digitalization and complexity we all are trying to bring great results in a limited amount of time. Microsoft’s perspective on Big Data is clear. Based on high performance computing, parallel calculations and scalable cloud platform we can do it incredibly fast and most important- in a secure way.

Data volumes are exploding—from traditional point-of-sale systems and e-commerce websites to new customer sentiment sources like Twitter and IoT sensors that stream data in real time using Apache Hadoop and Spark. By analyzing a diverse dataset from the start, we can make more informed decisions that are predictive and holistic rather than reactive and disconnected.

By using Microsoft Big Data technologies students can work with top - class tools and resources than open new era of data driven results. And most probably… enter the world of Artificial Intelligence in the near future.

Cecylia Szymanska-Ban
Director Executive Education Microsoft Poland

A word from the program's partner: MicroStrategy

In MicroStrategy we believe, that the future belongs to Intelligent Enterprises. It is our mission to provide first class innovative software that empowers people to make better data driven decisions and transform the way we do business. All this starts with Big Data analytics and the way we use it as a tool. We are very excited to be part of this unique program at Koźmiński University providing series of lectures and workshops sharing our knowledge using MicroStrategy platform and Desktop tools. Students will learn how to use business intelligence and predictive analytics to search through and combine Big Data from a variety of sources. Our lectures will teach students how to design and create reports, visual interactive dossiers, boardroom documents and mobile aps. We want to create an opportunity for young people to obtain MicroStrategy Certified Specialist Analyst (MCSA) certification – a document very well recognized in the BI industry.

Tomasz Gosciniak
General Manager, VP, Global Delivery Center MicroStrategy, Inc.

What you gain from your studies? 

  • This innovative international Master program offers you hands-on experience of Business Analytics in collaboration with global companies across various industries, in a European country known for its technological know-how.
  • This full-time international Master program enables you to build your career in applied data analytics, an area of high demand in top companies worldwide.
  • Enhance your profile with excellent analytical skills, in order to facilitate the decision-making process.
  • Extend your knowledge and skills within your area of interest through a number of elective courses.
  • Improve your command of professional terminology not only in finance but also in the age of digitalization.
  • Prepare yourself for further personal and professional development.

Career opportunities after your studies 

  • Big Data Analytics Manager
  • Data Solutions Architect
  • Business Intelligence Consultant
  • Financial Market Analyst
  • Analytics Consultant
  • Business Analyst
  • Business Consultant
  • A specialist in any department of a company where knowledge of finance and big data is a must
  • An employee of a financial department in an international corporation or a financial institution
  • Data Scientist
  • Researcher


Students have access to multiple study resources allowing them to collect all the necessary information for solving practical business problems as well as to dwell into academic science. The University provides access to a plethora of databases, including Reuters, BankScope, EMIS, Infinancials, etc. (a complete list can be found here), which represent an essential toolkit for business analysis. Academic databases such as ScienceDirect, ProQuest, JSTOR etc. allow to track the most recent research findings in the domains of economics and finance. Thanks to a special agreement, KU students have access to the published materials of "Financial Times" (including articles, webcasts, business data and interactive graphics), which provides an unparalleled international exposure and essential multidisciplinary knowledge of global politics and finance. 

Being a highly positioned academic institution, Kozminski University puts a strong emphasis on rigorous research aimed at gaining new insights into business and economics through the application of refined methodology. KU staff publish prolifically in prestigious peer-reviewed journals such as Journal of Corporate Finance, Journal of Banking and Finance, Journal of Financial Stability, Emerging Markets Review, etc.  

Selected courses 

General Courses
    • Global Economy
    • Quantitative and Qualitative Research Methods
    • Project Management with Elements of Negotiation
    • Econometric Modeling
    • Financial Mathematics
    • Data Visualisation
    • Databases
    • Introduction to Statistical Programs
    • Introduction to Programming with R
    • Data Processing and Securit
    • Introduction to Pyton
Major courses
    • Health Economics
    • Introduction to Health Technology Assessment
    • Model of Healthcare financing
    • Methodology of Economic Modelling in Healthcare
    • Bid Data in Healt Economics
    • Advances Statistical Methods for Real World Data Analysis
Elective Courses
    • Panel Data Econometrics
    • Time Series Analysis
    • Optimalisation Methods
    • Algorithmic Trading
    • Natural Language Processing
    • Web Mining
    • Social Media
    • Venture Capital Funding
    • Hacker Culture
    • Image Processing
    • Deep Learning
    • Advanced Machine Learning
    • Amazon AWS
    • Microsoft Azure
    • Oracle Cloud
    • Python Applications
    • Database Management

Class schedule 

  • Full-time programs

Classes take place from Monday to Friday in the morning and in the afternoon.

Admission 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.

Entry Test

The entry test is scheduled for 30 minutes and is composed of 25 close-ended questions. The test is meant to check the background of the candidate, data interpretation, analytical thinking and logical reasoning skills. As preparatory materials the Leaders of the program suggest practice questions to GMAT's analytical and quantitative parts.


Candidates who have achieved at least 80% of the points from the entry test will have have the possibility to apply for the "Scholarship for the Best Candidates".
Following the application process, the student will need to take part in an online test, which will be taken under consideration for the scholarship.
The awarded candidates are chosen based on a ranking system.
The candidates, who were granted a scholarship will be informed about it at the latest on August 31st

Required documents 

Application for full time and part time Master's programs at Kozminski University must include:

  • application form - complete the form online, print and sign
  • original Bachelor/Master degree diploma or notarized copy and transcript of records
  • 1 signed passport photograph
  • copy of the national ID or a passport 
  • CV in English
  • proof of payment of the admission fee (non-refundable)
  • certificate confirming proficiency in English - e.g. FCE, CAE, CPE, BEC, CEIBT issued by the University of Cambridge; IELTS (>=6.0 points); TOEFL IBT (>=87 points); TOEIC (at least 700 points from the test); LCCI (English for Business level 2, 3, 4); London Test of English certificates (PEARSON) - level 3, 4, 5 (certificates Edexcel). Only candidates who completed education instructed in English in one of the EU countries, Great Britain, Ireland, USA, Canada, Australia, New Zealand, completed European Baccalaureate or scored at least 95% on the basic level or 80% in the extended level from English language at the Polish "Matura" examination, can be excluded from submitting an English proficiency certificate.
    List of documents confirming the knowledge of English language (pdf)

All documents issued in foreign languages should be translated into Polish or English by a sworn translator. We process applications from 4th of February until August (applications from non EU-citizens) and from 4th of February until the end of September (applications from EU-citizens). Applications received afterwards will be kept on file and processed within the next application period.

ATTENTION! In accordance with the recommendations of Ministry of Health of Republic of Poland, concerning the prevention of Coronavirus spread, the Admission Office will work in online mode from 16.03.2020 until further notice. The employees of Admission Office are available during the office hours (8:30 - 16:30) via e-mail ( or by calling +48 22 519 22 69. In case of emergencies there is the possibility to schedule an individual meeting with the employees.

The admission fee for all Master programs delivered in English is 100 PLN.
Payment of the admission fee should be made to  the following bank account:

Name of the bank: Pekao S.A. II o/Warszawa
Address: Grzybowska 53/57,  Warszawa
Bank account number: 20 1240 1024 1111 0010 1646 0637

Candidates from foreign countries 

Foreigners who need a visa to study in Poland are additionally required to make payment of tuition for one full year of studies before we can issue documents necessary in the visa application process i.e. invitation to come to Poland and the admission decision. Admission commission issues a conditional acceptance letter including individual account number to which the payment should be transferred in Polish Złoty (PLN) calculated according to the exchange rates of the National Bank of Poland (

In case of visa, accommodations and other daily issues please contact our Students Support and Service Center:

Step-by-step admission procedures 


Register on-line

The admission form is available online or at the Admissions Office. 

Admission online 

Transfer from another university 



Make payment of the admission fee

The admission fee should be transferred to the Kozminski University bank account or made through the system available after completing the online application form.


Submit your application

All of the required documents should be submitted in the Admissions Office (in person or via regular post).




Entry test

Participation in online entry test is required for all candidates. Candidates are enrolled to the test after the application is reviewed and accepted by the Admission Committee.


Admission decision

The decision is issued in few working days after the test is cleared. Candidates who obtained at least 60 points from both admission criteria are qualified for program.


Signing of the contract

The final step of the admission process is signing the agreement.



Tuition and fees 

First year students of the programs conducted in English will be able to obtain a scholarship for one year of 7 500 PLN. The scholarship is provided monthly, as 10 deductions of 750 PLN from the tuition fee amount. More information on how to obtain the scholarship you can find by clicking the above banner.

Polish National Agency for Academic Exchange announced second edition of Scholarship Programme addressed to foreign Master programs applicants. More information and contact details here.

Master in Big Data Science (full-time)

I year - tuition per semester II year - tuition per semester
Tuition per semester paid in full (PLN)
11 900 PLN 12 500 PLN
Tuition per semester in 5 installments (PLN)
5 x 2 400 PLN 5 x 2 520 PLN

Tuition per semester paid in full (EUR)
2770 EUR* 2910 EUR*
Tuition per semester in 5 installments (EUR*)
5 x 560 EUR* 5 x 590 EUR*

Admission fee: 100 PLN / 24 EUR*

* Exchange rates according to NBP table of 2020-02-03: 1 EUR = 4,301 PLN
PRICES IN PLN ARE APPLIED. If you pay in EURO please note that payments in EUR are recalculated into PLN according to the exchange rate of Millennium Bank based on the day of receipt of payment to the Kozminski University bank account. Check current exchange rate.