Data Science and Business Analytics

Program Overview

Data Science and Business Analytics at the University of Warsaw is a full-time Master’s degree taught entirely in English at the Faculty of Economic Sciences in Warsaw, Poland. Over four semesters starting each October, students combine advanced statistics and econometrics with practical programming and a grounding in economics and finance, a mix designed for analytics careers in business. In 2024, Eduniversal named it the best data analytics master’s program in Central and Eastern Europe.

The degree stands out for its applied angle: the Understanding Business course puts students on real projects with industry partners, and a Double Degree path with the University of Milan lets selected students earn two master’s degrees with NAWA Katamaran funding. For anyone searching for an English-taught data science master’s in Poland, the sections below cover the curriculum, admission, costs and career directions.

What You Will Study

In Data Science and Business Analytics at the University of Warsaw, students work across four pillars. The first is advanced quantitative and statistical methods; the second is practical IT and programming, building skills in Python, R, SQL and SAS; the third is in-depth economics and finance; and the fourth develops business soft skills such as communication and decision-making.

Learning is deliberately hands-on. The Understanding Business course centres on real business projects delivered with industry partners, and classes run Monday to Friday at the Faculty of Economic Sciences on Dluga Street. Students on the Double Degree track spend their first year in Warsaw and the second at the University of Milan studying Data Science for Economics. The full curriculum is published on the faculty website, which is worth reviewing before applying.

Who This Program May Suit

Data Science and Business Analytics at the University of Warsaw may suit graduates who enjoy mathematics, statistics and coding but want to apply them to business problems rather than pure theory. Because enrolment points reward prior coursework in quantitative methods, economics and programming, applicants from economics, mathematics, computer science or engineering backgrounds with solid grades tend to be well positioned.

The program can also appeal to students targeting banks, FinTech, consulting or technology companies, and to those considering a PhD, since research experience earns extra points in admission. Full-time attendance in Warsaw and English at B2 level are practical requirements to weigh, so compare the format and competition level with your own background and goals before shortlisting it.

Admission Fit & Requirements

For Data Science and Business Analytics at the University of Warsaw, applicants should understand the points-based system. There is no entrance exam and no English exam run by the faculty; instead, candidates are ranked on a formula combining the awarding university’s standing, the final study grade and a subject-coverage multiplier of up to 1.8 for quantitative, economics and programming coursework, with an optional Research Experience Letter worth up to 10 extra points and a minimum of 30 points to qualify.

Applicants upload syllabuses of relevant courses so the faculty can score the coverage factor, and document English at B2 through an accepted certificate or English-medium prior education. Foreign diplomas may need an apostille, sworn translation and NAWA recognition depending on the issuing country. Eligibility should be reviewed against the official rules, and the StudyFits AI Advisor can help check whether your coursework profile may fit before you apply.

Tuition Fees & Cost Signal

For Data Science and Business Analytics at the University of Warsaw, tuition is a flat 4,900 EUR per year for all students; unlike many programs at Polish public universities, there is no free-of-charge category for EU/EFTA citizens here. The application fee is 85 PLN, and tuition is paid to a per-student account issued after admission.

Two forms of support are linked to the program: top-performing students may receive tuition discounts, and the Milan Double Degree is funded through the NAWA Katamaran Programme for selected students. Installment schedules are not published on the public pages, so payment details should be confirmed through official channels. To see how the cost compares with similar analytics degrees, ask the StudyFits AI Advisor for a profile-based comparison.

Career Paths & Future Options

Students considering Data Science and Business Analytics at the University of Warsaw may use it as a route into data-driven roles across finance and industry. The program’s own materials point to graduates working in banks, investment funds and FinTech, in strategy and marketing at international corporations, and in consulting, technology, telecoms, pharma and clinical research, as well as marketing and media.

The skill set behind those paths combines econometrics, machine learning and programming with business communication, and the degree also prepares students for PhD study. Directions like these depend on each graduate’s profile and are never guaranteed, so map them against your own goals, or ask the StudyFits AI Advisor how this program compares with other routes into analytics careers.

Study Location Advantage

Studying Data Science and Business Analytics at the University of Warsaw in Warsaw, Poland means joining a large public university in the country’s capital. Classes are held at the Faculty of Economic Sciences on Dluga Street, with weekday scheduling that keeps students close to the city’s academic and business life.

For international students weighing where to study data analytics in Poland, Warsaw combines a multicultural student body with broad exposure to employers in banking, consulting and technology. Location preferences are personal, though: compare the city with other destinations you are considering, and the StudyFits AI Advisor can weigh location alongside budget and academic fit.

Compare This Program With AI Advisor

Before choosing Data Science and Business Analytics at the University of Warsaw, students can use the StudyFits AI Advisor to compare it with similar English-taught analytics and data science masters in Poland and across Europe. The Advisor reviews academic background, language readiness, budget and career goals against the program’s profile.

Comparison pays off here because admission is points-based: your grades and coursework largely decide the outcome, so knowing early whether the profile fits saves an application cycle. For personal follow-up, the enquiry form on this page is a low-effort way to get tailored guidance.

FAQ

Q: What is Data Science and Business Analytics at the University of Warsaw?
A: It is a full-time, four-semester Master’s taught in English at the Faculty of Economic Sciences in Warsaw, Poland. The curriculum combines statistics, programming in Python, R, SQL and SAS, economics and business skills, with real industry projects.

Q: Who may this data analytics master’s in Poland suit?
A: It may suit graduates with strong quantitative, economics or programming coursework aiming at careers in banking, FinTech, consulting or technology. Since admission rewards grades and subject coverage, applicants with well-aligned bachelor’s studies should find the points system most favourable.

Q: Is there an entrance exam for this Warsaw master’s program?
A: No. The faculty runs no entrance exam and no English exam; candidates are ranked on a points formula using the awarding university, final grade and relevant coursework, plus an optional Research Experience Letter. At least 30 of 100 points are needed to qualify.

Q: How much does the program cost for international students?
A: Tuition is a flat 4,900 EUR per year for all students, EU and non-EU alike, plus an 85 PLN application fee. Top performers may receive tuition discounts, and current fee details should be checked on the official program page.

Q: How can I compare this program with similar options?
A: The StudyFits AI Advisor can compare it with other data science and business analytics masters based on your background, budget and goals, and the enquiry form on the page offers personal guidance before you commit to an application.