Degree programmes (first-cycle, second-cycle, long-cycle) - 2025/2026

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Data Science and Business Analytics, part-time (evening), second cycle

Details
Code NW2-DS
Organizational unit Faculty of Economic Sciences
Field of studies Data Science and Business Analytics
Form of studies part-time (evening)
Level of education Second cycle
Educational profile academic
Language(s) of instruction English
Minimum number of students 15
Admission limit 25
Duration 2 years
Recruitment committee address admissions@wne.uw.edu.pl
tel. (22) 55-49-190
WWW address https://www.wne.uw.edu.pl/
Required document
  • Higher education
  Ask a question
Phase 1 (05.06.2025 00:00 – 09.07.2025 23:59)

Field of Study: Social Sciences

Academic Discipline: Leading discipline – Economics and Finance

Language of Instruction: English

Professional Title Awarded Upon Graduation: Master in Data Science and Business Analytics

Where and When You Will Have Classes

Location:
Major-related classes are held at the Faculty of Economic Sciences, University of Warsaw, located at 44/50 Długa Street, Warsaw.

Time:
Classes are held from Monday to Friday in the afternoon hours, starting after 3:00 p.m.

Studies that change your perspective – Study at the Faculty of Economic Sciences, University of Warsaw

Choose the Faculty of Economic Sciences at the University of Warsaw – a leader in economic education in Poland and one of the top research institutions in Europe.

  • Top 3% in Europe – We rank among the top institutions in Europe according to the prestigious RePEc ranking.
  • Excellence in Teaching – We are the only institution in Poland to hold three Certificates of Excellence in Education awarded by the Polish Accreditation Committee – covering all our degree programs.
  • According to the 2024 Perspektywy ranking, we offer the best programs in Poland in Economics and Computer Science and Econometrics (now Econometrics and Data Science), while Finance and Accounting rank second nationwide.
  • After graduation? Our graduates are #1 in Poland in terms of average salary in the first year after earning their degree – confirmed by a ranking by the Rzeczpospolita daily based on real labor market data.

General Information

Become the expert the market is looking for – study Data Science and Business Analytics at the University of Warsaw!
If you're passionate about data and dream of working at the intersection of technology, economics, and business – this program is for you.
The Data Science and Business Analytics program, offered by the Faculty of Economic Sciences at the University of Warsaw, is not just a degree – it’s an investment in your future. In 2024, the program was named the Best Data Analytics Master’s Program in Central and Eastern Europe by the prestigious Eduniversal Best Masters Ranking.

This is a modern, four-semester program taught entirely in English. It combines advanced knowledge in data science, statistics, machine learning, and economics with practical programming skills (Python, R, SQL, SAS) and the development of soft skills such as communication and decision-making in business environments.

Double Degree – More Opportunities, Greater Prestige

Thanks to cooperation with the University of Milan (Università degli Studi di Milano) , students have the unique opportunity to obtain two international Master’s degrees with funding from the NAWA Katamaran Program:

  • Data Science and Business Analytics – University of Warsaw
  • Data Science for Economics – University of Milan

Students spend the first year at their home university (UW or UNIMI), and the second year at the partner university. This is not only a unique academic experience, but also a chance to grow in an international environment and build a global network of contacts.

A Program That Combines Theory with Practice

The program is built upon four strong pillars:

  • Advanced quantitative and statistical methods
  • Practical IT and programming skills
  • In-depth knowledge of economics and finance
  • Soft skills – essential in the world of business

One of the key highlights of the program is the “Understanding Business” course, where students work on real business projects in collaboration with industry partners. This is an excellent opportunity to gain hands-on experience, face real-world challenges, and create data-driven solutions.

Who is this program for?

Data Science and Business Analytics is the ideal choice for students interested in data analysis in the context of economics, finance, business, or social sciences.
Applicants should have a solid foundation in mathematics, statistics, and programming, along with the ambition to operate at the intersection of science and business.

What do you gain as a graduate?

Our graduates are more than just data analysts – they are professionals who understand complex economic processes and know how to translate data into actionable business decisions.

They are distinguished by:

  • Proficiency in data analysis tools (Python, R, SQL)
  • Strong mathematical and statistical foundations
  • The ability to visualize and communicate analytical results
  • Teamwork and project management skills
  • Readiness to work in international environments

The program also prepares students for academic careers – many graduates successfully pursue PhD studies in Poland and abroad.

Your Career After Graduation

Where do our graduates work? Everywhere data matters:

  • In banks, investment funds, and FinTech companies
  • In international corporations – from strategy to marketing departments
  • In consulting, technology, and telecommunications firms
  • In the pharmaceutical industry and clinical research
  • In marketing agencies and media houses

Thanks to their solid theoretical and practical preparation, Data Science and Business Analytics graduates easily adapt to the evolving demands of the labor market and are highly valued specialists worldwide.

Tuition applies to all students; current fees are available here.

Top-performing students may be eligible for tuition discounts. More information is available on the website.

 


Admission rules for candidates with Polish diplomas

The maximum amount of points available to obtain in the admission procedure is 100. Minimum amount of points required for qualification: 30.

1. Candidates must hold a bachelor's, engineering, master's degree or equivalent degree from any field of studies.

2. Candidates' points are calculated according to the following formula

Su x Ś x W+REL

Where:

· (Su) is the coefficient for having the status of a 'research university' (the Ministry of Science and Higher Education's 'Excellence Initiative - Research University' competition) by the degree-awarding institution in the year of UW enrollment. Having the status of a research university - a factor of 10, lack of this status - a factor of 9.

· (Ś) is the final grade from study. Final grade expressed on a scale other than the one used at the University of Warsaw (2-5), will be assimilated to it.

· (W) is a factor of:

  • 1.8 - in case one of the following conditions is met:

- The candidate's program of study included AT LEAST 90 hours of microeconomics and 90 hours of macroeconomics, and 60 hours of econometrics, and 60 hours of finance;

- The candidate's program of study included AT LEAST 150 hours of mathematical analysis and at least 60 hours of physics, or 60 hours of chemistry, or 60 hours of computer science, or 60 hours of finance;

- The candidate's program of study included AT LEAST 150 hours of mathematical analysis and 60 hours of mathematical statistics;

- The candidate's program of study included AT LEAST 180 total hours in programming subjects such as: Programming in R, Python, SAS, C++, C#, Java and others.

  • 1 - in other cases, when none of the above criteria are met.

(REL) to Research Experience Letter (optional) - additional 10 points.

Research Experience Letter is a document providing a description of experience, related to the field of study for which the Candidate is applying, confirmed by project supervisors. Projects, carried out as part of studies, student activities, scientific research work and professional experience will be taken into account.

Essential Elements of a Research Experience Letter:

- Description of the projects and the nature of the candidate's participation in the projects

- Data and supervisor function of each project

- Confirmation by the project supervisor(s) with the signature / stamp of the data contained

The total points for the Research Experience Letter consist of:

- Value of the candidate's achievements (4 points);

- Connection of projects with the scope of studies for which the candidate is applying (4 points);

- Relationship between the recommender and the candidate's educational / professional career (2 points)

3. Candidates independently fill out the application form, made available on their personal registration account in the IRK system, in which they attach scans of documents necessary for the calculation of enrollment points and indicate selected subjects affecting the value of the W factor, described in section 2, for evaluation by the admissions committee.

Subjects other than those indicated by candidates are not considered by the selection committee. On the basis of the completed application form, the committee decides whether the candidate meets the criteria for consideration of the higher factor (W).

Candidates are required to submit syllabuses of selected subjects, and the committee in its evaluation may take into account the compatibility of economic and mathematical subjects with the program at the UW.

Optionally, candidates also include a scan of the Research Experience Letter.

4. Check the competence of candidates to study in English

Candidates are obliged to hold one of the documents accepted by the University of Warsaw, certifying their competence in the English language at least at the B2 level.

Information on documents certifying knowledge of the English language. >> Check! <<

 

Admission rules for candidates with foreign diplomas

The maximum amount of points available to obtain in the admission procedure is 100. Minimum amount of points required for qualification: 30.

1. Admission to a master-degree program requires a bachelor's, engineer's, master's or equivalent diploma in any field of study.

2. Candidates' points are calculated according to the following formula

Su x Ś x W+REL

Where:

· (Su) is the coefficient for the university's position in the Shanghai Ranking in the year of UW university enrollment. Position 1-500 - a factor of 10, further positions or no university on the ranking list - a factor of 9.

· (Ś) is the final grade from study. Final grade expressed on a scale other than the one used at the University of Warsaw (2-5), will be assimilated to it.

· (W) is a factor of:

  • 1.8 - in the event that one of the following conditions is met:

- The candidate's program of study included AT LEAST 90 hours of microeconomics and 90 hours of macroeconomics, and 60 hours of econometrics, and 60 hours of finance;

- The candidate's program of study included AT LEAST 150 hours of mathematical analysis and at least 60 hours of physics, or 60 hours of chemistry, or 60 hours of computer science, or 60 hours of finance;

- The candidate's program of study included AT LEAST 150 hours of mathematical analysis and 60 hours of mathematical statistics;

- The candidate's program of study included AT LEAST 180 total hours in programming subjects such as: Programming in R, Python, SAS, C++, C#, Java and others.

  • 1 - in other cases, when none of the above criteria are met.

(REL) to Research Experience Letter - (optional) additional 10 points.

Research Experience Letter is a document providing a description of experience, related to the field of study for which the Candidate is applying, confirmed by project supervisors. Projects, carried out as part of studies, student activities, scientific research work and professional experience will be taken into account.

Essential Elements of a Research Experience Letter:

- Description of the projects and the nature of the candidate's participation in the projects

- Data and supervisor function of each project

- Confirmation by the project supervisor(s) with the signature / stamp of the data contained

The total points for the Research Experience Letter consist of:

- Value of the candidate's achievements (4 points);

- Connection of projects with the scope of studies for which the candidate is applying (4 points);

- Relationship between the recommender and the candidate's educational / professional career (2 points)

3. Candidates independently fill out the application form, made available on their personal registration account in the IRK system, in which they attach scans of documents necessary for the calculation of enrollment points and indicate selected subjects affecting the value of the W factor, described in section 2, for evaluation by the admissions committee.

Subjects other than those indicated by candidates are not considered by the selection committee. On the basis of the completed application form, the committee decides whether the candidate meets the criteria for consideration of the higher factor (W).

Candidates are required to submit syllabuses of selected subjects, and the committee in its evaluation may take into account the compatibility of economic and mathematical subjects with the program at the UW.

Optionally, candidates also upload a Research Experience Letter scan to their personal registration account in the IRK system.

4. Check the competence of candidates to study in English

Candidates are obliged to hold one of the documents accepted by the University of Warsaw, certifying their competence in the English language at least at the B2 level.

Information on documents certifying knowledge of the English language. >> Check! <<

 

Deadlines

Announcement of results: 22nd of July, 2025

Reception of documents: 

  • I round: 23rd-25th of July, 2025
  • II round (in case of not fulfilling the limit during I round): 28th-29th of July, 2025
  • III round (in case of not fulfilling the limit during II round): 30th-31st of July, 2025
  • additional rounds will be announced in case of not fulfilling the limits

 

Payments

Application fee

Student's ID payment (ELS)

The studies are payable - tuition fees

 

Required documents

List of required documents submitted by candidates qualified for studies

 

Additional information

Find us on the map: Faculty of Economic Sciences