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Big Data Science

Big Data Science at Warsaw Kozminski University in Warsaw, Poland, is a two-year, full-time English program with evening classes in Warsaw. Explore its focus on data analytics, machine learning, and applied big-data methods, review requirements and study fit before choosing.

Program at a Glance

Big Data Science at Warsaw Kozminski University is a two-year, full-time English program with evening classes in Warsaw. It introduces international students to data analytics, machine learning, and applied big-data methods. Students choose Data Analytics or Health Economics and Big Data Analytics, while the second option runs only if at least 17 students enroll. This overview offers a practical starting point for comparing study fit.
Key Criteria
Program Insights
Program overview
Big Data Science is a two-year, full-time English program with evening classes in Warsaw. The program focuses on data analytics, machine learning, and applied big-data methods and helps students compare its academic direction with their background and study goals.
What you will focus on
Study focuses on data analytics, machine learning, and applied big-data methods. Students choose Data Analytics or Health Economics and Big Data Analytics, while the second option runs only if at least 17 students enroll. Most examinations take place on site. Students should review the latest curriculum before choosing this option.
Who this program may suit
Big Data Science may suit graduates from a relevant field who want analytical study and can work confidently with data interpretation. The evening schedule from 17:00 to 21:00 may suit students who can combine structured study with independent analytical work. Personal academic goals should guide the comparison.
Study level & format
Big Data Science at Warsaw Kozminski University is a two-year, full-time English program with evening classes in Warsaw. Students should consider whether its delivery pattern, language, and duration match their preferred way of studying.
Cost overview
For Big Data Science, Year I is 38,800 PLN and Year II is 42,800 PLN, with full payment or ten monthly installments. The application fee is 100 PLN. Visa applicants must prepay the first year. Students should confirm the current payment and currency-conversion terms on the official program page.
Admission fit
Big Data Science may fit graduates from a relevant field who want analytical study and can work confidently with data interpretation. A relevant prior degree, a GPA of 70% or higher, B2 English, and the required documents support eligibility review. Selection combines GPA with a 40-minute online analytical and data-interpretation test, and applicants need at least 60 points out of 100. Students should compare these conditions with their own profile rather than treat them as an acceptance estimate.
Before you apply
Before choosing Big Data Science, students should check their academic documents, English proof, intake timing, and any additional assessment. The October 2026 intake opened on 2 March 2026 and applications close on 30 September 2026. Current details should be confirmed in the university's official instructions.
Recommended next step
Compare Big Data Science with similar programs through the StudyFits AI Advisor. Review academic fit, English readiness, study format, location, and budget together before deciding whether this option matches your plans. Use the result to prepare focused questions.

Program Overview

Big Data Science at Warsaw Kozminski University in Warsaw, Poland, is a two-year, full-time English program with evening classes in Warsaw. The academic direction covers data analytics, machine learning, and applied big-data methods. International students can use this overview to understand the program’s level, language, delivery, and broad purpose before comparing it with other options in Poland.

Students choose Data Analytics or Health Economics and Big Data Analytics, while the second option runs only if at least 17 students enroll. Most examinations take place on site. The evening schedule from 17:00 to 21:00 may suit students who can combine structured study with independent analytical work. Students should use the official program information for the latest structure and treat this article as a practical starting point for comparison, not a complete application guide.

What You Will Study

Study in this option centers on data analytics, machine learning, and applied big-data methods. The curriculum information frames these areas as the main academic and practical direction, helping students understand what they may work with during the program without turning this summary into a full module list.

Students choose Data Analytics or Health Economics and Big Data Analytics, while the second option runs only if at least 17 students enroll. Most examinations take place on site. Students should review the official curriculum for current subjects, sequencing, and any track conditions. The StudyFits AI Advisor can also help compare this study focus with related programs and the student’s own academic interests. This comparison may clarify which academic direction deserves closer review before making a careful decision.

Who This Program May Suit

The program may suit graduates from a relevant field who want analytical study and can work confidently with data interpretation. Its level and format call for students who are ready to study in English and engage with data analytics, machine learning, and applied big-data methods. The evening schedule from 17:00 to 21:00 may suit students who can combine structured study with independent analytical work.

A good comparison should consider academic background, English readiness, learning style, location, and longer-term goals together. The StudyFits AI Advisor can help students reflect on those factors and compare similar programs without estimating admission results or promising a particular outcome. Students can then identify the questions that matter most for their own study decision with greater confidence. This keeps the choice grounded in personal priorities.

Admission Fit & Requirements

Admission fit depends on the student’s previous education and submitted evidence. A relevant prior degree, a GPA of 70% or higher, B2 English, and the required documents support eligibility review. Selection combines GPA with a 40-minute online analytical and data-interpretation test, and applicants need at least 60 points out of 100. Foreign qualifications may also need recognition, translation, or legalization under the applicable Polish rules, so each applicant should check how the requirements apply to their documents.

The October 2026 intake opened on 2 March 2026 and applications close on 30 September 2026. Students should confirm current dates, accepted English evidence, document rules, and any assessment stages in the official instructions. The StudyFits AI Advisor can help organize a profile-based comparison, but it does not replace the university’s formal eligibility review or admission decision.

Tuition Fees & Cost Signal

For Big Data Science, Year I is 38,800 PLN and Year II is 42,800 PLN, with full payment or ten monthly installments. The application fee is 100 PLN. These figures are a cost signal only and should not be treated as a complete financial plan. Students should keep the original currency and payment basis when comparing this option with similar programs.

Visa applicants must prepay the first year. Students should confirm the current payment and currency-conversion terms on the official program page. Scholarship or discount availability should be checked separately because no award is guaranteed. The StudyFits AI Advisor can help students compare the published cost signal with their budget and other study choices. Currency and timing can materially affect the final personal plan and deserve careful review.

Career Paths & Future Options

Students considering Big Data Science may use its focus on data analytics, machine learning, and applied big-data methods to explore several future directions. Possible directions may involve data analysis, machine learning applications, business intelligence, or health-economics analytics, depending on the chosen track and later experience. These are possible paths rather than promised jobs, salaries, internships, or professional rights.

Future choices will depend on the student’s selected focus, practical experience, further education, and country-specific requirements where relevant. Comparing the curriculum with personal goals is therefore important. The StudyFits AI Advisor can support a structured comparison with related programs and possible next study steps. Students should also distinguish broad academic preparation from any regulated professional permission or guaranteed career result when comparing.

Study Location Advantage

Studying Big Data Science in Warsaw places the program within Poland’s capital-city academic setting. For international students, the location can matter when comparing language, study format, campus expectations, and access to a wider university environment. This description does not assume particular living costs, employment, safety, or visa outcomes.

The evening schedule from 17:00 to 21:00 may suit students who can combine structured study with independent analytical work. Students should compare Warsaw and Poland with other destinations based on their own budget, preferred setting, and academic priorities. Location choice can also shape daily routines and the wider study experience. The StudyFits AI Advisor can help bring location and program fit into the same comparison without replacing current official travel or residence guidance.

Compare This Program With AI Advisor

Before choosing Big Data Science at Warsaw Kozminski University, students can use the StudyFits AI Advisor to compare it with similar options. The comparison can consider academic background, English readiness, degree level, study format, Warsaw as a destination, and the program’s focus on data analytics, machine learning, and applied big-data methods.

Students can also review the available cost signal, intake information, and longer-term goals together. This creates a clearer list of questions for the university or the enquiry form, while avoiding an admission estimate. Official rules and current fees should still be confirmed through current university information before deciding carefully.

FAQ

Q: What does Big Data Science at Kozminski cover?
A: It focuses on data analytics, machine learning, and applied big-data methods. Students choose Data Analytics or Health Economics and Big Data Analytics, while the second option runs only if at least 17 students enroll. Students should review the official curriculum for the latest structure and compare it with their academic interests.

Q: Who may suit this English program in Warsaw?
A: It may suit graduates from a relevant field who want analytical study and can work confidently with data interpretation. Students should also consider the study format, English readiness, and whether the program’s academic direction matches their preferred learning style and longer-term plans.

Q: What are the main admission fit points?
A: Applicants need a relevant prior degree, a GPA of 70% or higher, B2 English, and the stated documents. Selection also uses a 40-minute online test, with at least 60 points out of 100 required overall. Students should confirm how recognition and document rules apply to their own qualification.

Q: What is the cost signal for Big Data Science?
A: Published tuition is 38,800 PLN for Year I and 42,800 PLN for Year II, with full payment or monthly installments. The application fee is 100 PLN, and visa applicants prepay the first year. Scholarship or discount conditions should be checked separately because financial support is not guaranteed.

Q: How can students compare this Kozminski program?
A: The StudyFits AI Advisor can compare profile fit, academic background, English level, budget, destination, degree level, and future goals. Students can then use the enquiry form for personal questions and confirm final details with official university information.

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