Advanced Analytics – Big Data

Program Overview

Advanced Analytics – Big Data at SGH Warsaw School of Economics in Warsaw, Poland, is a full-time, English-taught master’s degree completed over four semesters. The program focuses on applied data science, big-data analytics, statistics, machine learning, data engineering and business applications. It gives international students a structured way to explore this field in a public university setting while keeping the academic scope and study format clear.

It links quantitative methods and technical data work with organisational and business questions. Students should use the official program page for the latest curriculum and administrative details, then compare the course with alternatives that match their academic background, language readiness and study goals. This careful check helps keep the choice grounded in current information.

What You Will Study

Study in Advanced Analytics – Big Data covers applied data science, big-data analytics, statistics, machine learning, data engineering and business applications. The available curriculum signal connects conceptual knowledge with analytical work and decision-making, giving students a broad view of the field without implying modules that are not confirmed in the source data. The full and current study plan should be checked on the official program page.

Students may work across statistics, machine learning and data engineering while considering how large datasets support business analysis and organisational decisions. These areas can help students evaluate which parts of the course are most relevant to their interests. They should compare the published focus with their preferred learning style and future study direction before making a decision.

Who This Program May Suit

Advanced Analytics – Big Data may suit students who want to study quantitative analysis, data science, machine learning and business decision-making in English and are comfortable with analytical reading, structured problem-solving and practical decision-making. The full-time format also calls for steady engagement over four semesters, so applicants should consider whether that pace fits their preferred way of learning.

A suitable profile includes at least B2 English and a relevant bachelor’s degree or equivalent, with an expected GPA of 70% or higher in the provided criteria. Students should compare these signals with their own qualifications, interests and longer-term goals. The StudyFits AI Advisor can help organise that comparison, but it does not estimate admission or replace the university’s official assessment. Students may also benefit from comparing the subject balance with more specialised or more technical alternatives.

Admission Fit & Requirements

Applicants to Advanced Analytics – Big Data should review whether they hold a relevant bachelor’s degree or equivalent, with an expected GPA of 70% or higher in the provided criteria. The document set includes a bachelor diploma and transcript, plus any required legalisation, sworn translation or recognition statement. Exact legalisation and recognition steps depend on the issuing country and qualification, so foreign applicants should verify the current official rules for their own case.

At least B2 English is required through an accepted certificate, qualifying previous education in English, or SGH’s internal route where its eligibility rules allow. Admission also includes document verification and ranking, with no written entrance exam stated. Students can use the StudyFits AI Advisor to organise a profile check, while the university remains the authority on eligibility and admission. Current cycle details should be confirmed before any final decision.

Tuition Fees & Cost Signal

Tuition for this English-taught program is EUR 2,400 per semester when paid once, or EUR 2,450 per semester in five instalments of EUR 490. The fee is quoted per semester, and the instalment route costs slightly more than the one-time semester payment. Students should confirm the current cycle amount and payment instructions with SGH before making a financial decision.

The application fee is PLN 85 because no written entrance exam is stated. No program-specific scholarship is confirmed in the available data, although general NAWA schemes and SGH-wide financial support may be reviewed under their own eligibility rules. Students can compare this cost signal with similar programs or ask the StudyFits AI Advisor for a profile-based budget comparison. A wider comparison should include the payment schedule and overall study budget, not tuition alone.

Career Paths & Future Options

Advanced Analytics – Big Data may support future directions connected with data analytics, statistical modelling, machine-learning applications, data engineering and evidence-based organisational decisions. These are possible pathways suggested by the curriculum focus, not promised job outcomes. Students can use the program to strengthen analytical understanding, subject vocabulary and decision-making skills that may be relevant across several organisational settings.

Graduates may also consider further study that develops the same academic themes or adds a more specialised quantitative, policy or management perspective. Career value depends on the student’s wider experience, choices and local requirements. The StudyFits AI Advisor can help compare this academic route with personal goals without predicting employment results. Comparing several related degrees can clarify whether this broad direction or a narrower specialism is more useful.

Study Location Advantage

Studying Advanced Analytics – Big Data at SGH Warsaw School of Economics places the program in Warsaw, Poland, within a public university environment. For international students, location matters because it shapes the wider academic setting, daily study experience and comparison with other destinations, even when the program’s core value remains its subject focus and English-taught format.

Students should assess Warsaw alongside their budget, preferred pace of city life and study priorities, using current practical information from reliable sources. They can also compare the Polish setting with other countries and cities through the StudyFits AI Advisor. No location alone guarantees work, accommodation, visa results or a particular student experience. That comparison can make the destination choice more deliberate and connected to the student’s priorities.

Compare This Program With AI Advisor

Before choosing Advanced Analytics – Big Data, students can use the StudyFits AI Advisor to compare this SGH option with related programs. The comparison can consider academic background, B2 English readiness, full-time format, four semesters, tuition and interest in data analytics, machine learning and business applications, helping the student identify questions that still need official confirmation.

The advisor can also place Warsaw and Poland alongside other study destinations and degree options. It supports structured reflection rather than predicting admission, funding, visa or career results. Students should combine the comparison with the latest official SGH information and, where useful, the enquiry form for personalised support. A deliberate comparison can also reveal which questions deserve personalised follow-up.

FAQ

Q: What does Advanced Analytics – Big Data at SGH cover?
A: The program focuses on applied data science, big-data analytics, statistics, machine learning, data engineering and business applications. It is taught full time in English in Warsaw and runs for four semesters. Students should check the official page for the latest curriculum and use these details as a starting point for comparison.

Q: Who may suit this English-taught master’s degree?
A: It may suit students interested in quantitative analysis, data science, machine learning and business decision-making who are ready for analytical work and full-time study in English. A realistic comparison should also consider academic background, B2 readiness, budget, learning style and longer-term study goals.

Q: What are the admission signals for this SGH master’s?
A: The available criteria indicate a relevant bachelor’s degree or equivalent, with an expected GPA of 70% or higher in the provided criteria, at least B2 English, document verification and ranking. No written entrance exam is stated. Applicants should confirm current quantitative-background expectations and any diploma legalisation, translation or recognition steps with SGH.

Q: What is the tuition signal for Advanced Analytics – Big Data?
A: The listed tuition is EUR 2,400 per semester when paid once, or EUR 2,450 per semester in five instalments of EUR 490, while the application fee is PLN 85 because no written entrance exam is stated. No program-specific scholarship is confirmed. Students should verify current official amounts and payment instructions before budgeting.

Q: How can StudyFits compare this SGH program?
A: The StudyFits AI Advisor can compare academic fit, English readiness, tuition, duration, Warsaw as a destination and related programs. It helps students prepare focused questions and choices, but it does not predict admission, funding, visa decisions or employment outcomes.