About the studies
Basic information
Our Master in Big Data Science program is a two-year intensive program conducted in English. The program aims to prepare students to work on Big Data, AI, and Machine Learning, primarily in Finance and Health Economics and secondly in other industries. Specifically, students gain deep and extensive knowledge of the most advanced data collection techniques, data analysis, machine learning, and - more broadly - AI.
Our Big Data Science program is offered full-time in the evening hours (17:00-21:00), making it ideal for students who want to work and study simultaneously. Students can choose between two majors: Data Analytics and Health Economics & Big Data Analytics. Additionally, all students gain expertise in entrepreneurship, venture capital, and cloud computing, ensuring they are not only ready for analytical roles but also equipped to become leaders and innovators in tech-driven industries.
Program highlights
Since the first semester, students can gain advanced theoretical knowledge in mathematics and statistics. More importantly, they learn to apply this knowledge through intensive hands-on tutorials and seminars right from the beginning of their studies. Our top-performing students are frequently recruited by major multinational enterprises, global banks, and leading consulting firms. Many of our alumni now hold senior management positions at organizations such as Standard Chartered, Goldman Sachs, Microsoft, Accenture and Oracle.
During their studies, students develop proficiency in programming languages such as R and Python, as well as cloud technologies like Amazon Web Services (AWS), Microsoft Azure, and the Google Cloud Platform. Furthermore, they gain access to renowned training platforms, including Amazon AWS Academy, Bloomberg for Education, GitHub for Education. Finally, our students receive discount vouchers to support their efforts in pursuing and passing Microsoft or Amazon certification exams.
The Polish labor market features a high demand for Machine Learning Engineers, AI Engineers, Quants, Financial Data Analysts, and many other positions in IT, Finance, and Healthcare. These specialists earn salaries that are, on average, 34% higher than Polish average salaries. The Polish demand for specialists in these fields is set to rise on average by 14% yearly over the next five years.
The Data Analytics major is a rigorous program designed to prepare students for careers primarily in finance, as well as in other industries. This major focuses on equipping students with advanced skills in Big Data and AI. Meanwhile, the Health Economics & Big Data Analytics major emphasizes the application of Big Data and AI in optimizing efficiency, cost management, and resource allocation for organizations operating within the healthcare sector.
Whether your are interested in solving practical business problems or delving into academic science, KU makes sure you have the best sources for your research. The University provides access to the wide range of databases, including Reuters, BankScope, EMIS, Infinancials, etc., 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.
The program's faculty comprises both academic and industry professionals. Over half of the academic staff have earned their doctoral degrees abroad, with many having gained experience and training at prestigious institutions such as Oxford University, Bocconi University, the University of Aberdeen, Cambridge University, the University of Barcelona, Wharton Business School, and Goethe University in Frankfurt. In addition, the teaching staff includes seasoned professionals from IT and other industries, many of whom hold senior positions at leading companies such as P&G, Microsoft, and Oracle.
Kozminski University offers students exceptional opportunities to develop skills, gain certifications, and pursue entrepreneurial goals. Through the Kozminski Business Hub and Venture Capital Fund, aspiring entrepreneurs can access business mentorship and crowdfunding programs. Students can also prepare for certifications in Amazon AWS Academy (cloud computing), Bloomberg for Education (Bloomberg Market Concepts), and GitHub for Education (AI GitHub Copilot and programming skills).
The professional internship, lasting 130 hours and worth 5 ECTS, is a mandatory requirement for completing the program. It takes place in the 4th semester or, with the approval of the Vice Dean, earlier (after the completion of the 1st semester). The internship allows students to apply theoretical knowledge in practice, build professional connections, and gain valuable experience. It plays a key role in developing skills, validating research ideas for the master’s thesis, and enhancing organizational analysis capabilities. This essential experience helps students gain a deeper understanding of their professional field, develop social competencies, and realize the importance of continuous learning and self-improvement, which are crucial for career success.
Program partners
Program leaders
Ready to turn data into decisions? The Master in Big Data Science at Kozminski University is a two-year, English-taught program that builds deep, practical skills in data collection, analytics, machine learning, and AI - applied to high-impact domains like finance and health economics. You’ll learn cutting-edge techniques and how to translate them into business value, preparing you to thrive in data-driven roles from day one.
What sets us apart is the Kozminski edge: we’re a “Triple Crown” business school - AACSB, EQUIS, and AMBA accredited - an achievement earned by around 1% of business schools worldwide, recognized across Europe and beyond. Studying in Warsaw, a dynamic tech hub, you’ll join an international community and graduate with a credential that opens doors globally. Apply now to sharpen the skills employers want and accelerate your career in Big Data.
Technology is continuously expanding the range of opportunities available in various fields. Cloud computing technologies, generative artificial intelligence, and the Internet of Things offer immense possibilities but require mastering the appropriate tools. The Big Data Science program directly addresses these needs - during your studies, you will explore services like Amazon AWS and Azure, machine learning techniques, and deep learning methods.
Are you looking to advance your career in cutting-edge technology departments? Do you want to enhance your analytical skills? Then this program is perfect for you. See you at Kozminski University!
What you gain from your studies?
- Expertise in core disciplines: Advanced knowledge of Statistics, Econometrics, and Mathematics.
- Mastery of emerging technologies: In-depth understanding of Big Data, Artificial Intelligence, and Machine Learning.
- Entrepreneurial insights: Comprehensive knowledge of entrepreneurial opportunities within the tech industry.
- Continuous learning opportunities: Access to additional self-learning resources to further sharpen your skills.
- Enhanced credentials: Boost your CV with additional certificates earned during the program.
- Exceptional value: The program leaders continuously monitor and assess lecturers’ performance, ensuring high-quality education tailored to your feedback.
- Career-ready skills: Develop the full set of competencies required to secure positions at top multinational corporations, global banks, and leading consulting firms.
- Business-building expertise: Gain the skills and guidance needed to launch and grow your business successfully.
Career opportunities:
- Quant.
- Machine learning engineer.
- Financial analyst.
- AI engineer.
- Data solutions architect.
- IT business analyst.
- Data scientist in the private and public sectors.
- Data analyst.
- IT business consultant.
- Quantitative researcher at academic institutions.
- Quantitative economics expert at international economic institutions.
- Data Analyst for Healthcare giants.
- Data Science for Healthcare institutions.
- Data-driven policy analyst for Healthcare public institutions.
Program structure
The aim of the major is for you to acquire expertise and skills in the area of Big Data analysis, with a particular focus on the use of predictive modelling to be applied in in the digital health, pharmaceutical and other related industries. All while being in close contact with the strategic partners of the program during workshops and possibly internships.
The HEBDA study track is intended for both Polish and international students, reflecting the global nature of contemporary challenges in healthcare. Classes have a distinctly practical focus: students not only learn theory but also work with case studies and real-world data from healthcare systems around the world. Over the course of the programme, participants gain hands-on experience with the tools and methods used by professional health economists and data scientists, including statistical software, programming for data analysis, economic modelling techniques, and data visualisation. This strong practical orientation ensures that graduates are prepared to take up positions requiring data-driven decision-making in health policy, management, strategy, or innovation.
The value of the HEBDA programme lies in educating graduates who are not only technically advanced, but also aware of global conditions and prepared to assume leadership roles in various health systems, in institutions responsible for organising and financing healthcare services, as well as in enterprises involved in the production or distribution of medical technologies.
This study track will be launched provided that at least 17 students enrol.
Class schedule
All lectures, seminars, and tutorials are conducted from Monday to Friday in the evening hours on a 17:00-21:00 weekly basis. Some courses are conducted onsite, whereas other courses are conducted online. Please note the following:
- The University requires that most examinations take place on-site throughout the entire program of studies.
- All final diploma examinations take place on-site.
Student testimonials
Alumni's reviews of the program
As a part of my Master degree, I was lucky enough to be selected for a project with Goldman Sachs. Currently, I am working with the Risk Department which mainly focuses on preventing the company from losing money, rather than making money for it.
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.
Admission
The employees of Admission Office are available during the office hours (8:30 - 16:30), via e-mail (admission@kozminski.edu.pl) or by calling +48 22 519 22 69.
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 40 minutes and is composed of 30 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.
Application for full time and part time Master's programs at Kozminski University must include:
- application form - complete the form online and attach required documents,
- original Bachelor/Master degree diploma or notarized copy and transcript of records (translation of the documents into Polish or English)
- written information from the director of NAWA about the degree certificate confirming eligibility to apply for studies OR the nostrification decision - not applicable to certificates issued in European Union, EFTA, OECD, China and Ukraine More information
- 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:
- IELTS Academic certificate – at least 6,5 overall band;
- TOEFL iBT certificate - at least 87 points;
- TOEIC certificate – at least 785 points in "Listening & Reading" and 150 points in "Speaking" and 160 points in "Writing";
- LanguageCert (PeopleCert Qualifications (PCQ)): LanguageCert International ESOL Communicator B2 (4-skill exam) or higher, LanguageCert Academic B2 or higher, LanguageCert Test of English B2 or higher;
List of other accepted certificates
- Cambridge certificates: B2 First (FCE), C1 Advanced (CAE), C2 Proficiency (CPE), B2 Business Vantage (BEC Vantage), C1 Business Higher, Certificate in English for International Business and Trade (CEIBT);
- Pearson Assessment English: Pearson English International Certificate - Level 3, Pearson Test of English Academic - at least 59 points;
- LCCI certificates: English for Business Level 2 or higher, Foundation Certificate for Teachers of Business English (FTBE);
- European Consortium for the Certificate of Attainment in Modern Languages – Level B2 (Vantage) or higher;
- telc GmbH certificates: Certificate in English, Certificate in English for Business Purposes, Certificate in English for Technical Purposes, telc English, telc English Business, telc English Technical, telc English University;
- Trinity College London: ESOL Skills for Life – Level 1 (B2) or higher, Integrated Skills in English (ISE) – ISE II or higher, ISE Digital – above 80 points (B2);
Applicants may be exempt from submitting a certificate of English proficiency if they meet any of the following conditions:
- Obtained at least 95% at the basic level or 80% at the extended level in English on the Polish Matura exam;
- Hold an International Baccalaureate (IB) or European Baccalaureate (EB) high school diploma or completed bachelor/master degree in English in an EU or EFTA country, or in the UK, Ireland, the USA, Canada, Australia, or New Zealand;
In case of visa, accommodations and other daily issues we encourage to contact our Welcome Point.
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.
Candidates applying to Master programs based on documents issued in countries outside European Union, EFTA, OECD, Ukraine or China must also submit written information from the director of NAWA about the degree certificate confirming eligibility to apply for studies OR the nostrification decision (not applicable to documents issued in European Union, EFTA, OECD, China and Ukraine). This opinion must be provided to the university before admission and will also be crucial during student visa application. More information on the procedure is available on the website of National Agency for Academic Exchange (NAWA).
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 (www.nbp.pl). In case the candidate is denied a visa tuition is returned.
Admission fee is non-refundable.
Start your university journey today! Simply create an account on our admission portal and start filling in the application form.
Fill in the application form with required data. Upload the scans of necessary documents to the admission portal. Scans must be clear, legible and of good quality, otherwise they will not be accepted in the admissions process. You can use free applications such as Camscanner.
Make sure the photo meets the official requirements described in the application form (format as national ID or passport photo).
Once you submit your application, the Admission Committee will carefully review your documents. If your application meets the requirements, you will be invited to take the online admission test. Our Examination Center will reach out to you to schedule the test.
The entry test is an assessment designed to evaluate your academic background, analytical and logical thinking skills, and foundational knowledge in the field. It aligns with the level of understanding expected from a graduate of a business-related bachelor’s program.
Admission for Master programs at Kozminski University is based on 2 criteria: GPA on your previous studies and results of an online entry test. Each criteria is worth up to 50 points. Candidates who scored at least 60 points from both criteria and fulfil other requirements will be qualified to the program.
You will be informed about admission outcome via e-mail. If you are accepted you’ll receive an electronic agreement to sign and detailed instructions on completing the admission process, regarding submitting documents and covering tuition. All required documents must be submitted in a complete package to the Admissions Office (in person or via post).
After you complete above mentioned steps and cover tuition fee the admission process is concluded and you can await for your first classes.
If you need any extra documentation (e.g. for a visa), reach out to us – we’re here to help.
Tuition and fees
Check out our scholarship opportunities
| 1st year | 2nd year | |
|---|---|---|
| Tuition fee per month - 10 installments per year | 3 900 PLN | 4 300 PLN |
| Tuition fee per semester in full - 2 semesters per year | 19 400 PLN | 21 400 PLN |
| Tuition fee per year in full | 38 800 PLN | 42 800 PLN |
| Admission fee | 100 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.
Payment of the admission fee should be made to the following bank account or through online payment system in the application form:
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 SWIFT code: PKOPPLPW IBAN: PL
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