Overview

The Master's programme in Advanced Analytics - Big Data at SGH Warsaw School of Economics is tailored for those aspiring to excel in the field of data science. This course provides a profound understanding of data extraction and analysis techniques, enabling graduates to thrive in various sectors. The curriculum is designed to develop both technical and analytical skills, preparing students for the complexities of modern data environments.

Why Advanced Analytics - Big Data at SGH?

SGH Warsaw School of Economics is renowned for its academic excellence and innovative teaching methods. The institution boasts a strong reputation in rankings, reflecting its commitment to quality education. SGH’s partnerships with leading organisations enhance the learning experience, providing students with access to cutting-edge facilities and resources. The school’s focus on practical applications ensures that students are well-prepared for the demands of the job market.

Tuition Fee Breakdown

The tuition fee for the Advanced Analytics - Big Data programme is set at EUR 2,300 per semester for both international and European students. For those opting for payment in instalments, the fee is EUR 2,350 per semester, with each instalment costing EUR 470. Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

Data Extraction Techniques
Data Analysis Algorithms
Programming in Python and R
Mathematical Foundations for Data Science
Statistical Methods and Econometrics
Machine Learning and AI Applications
Data Management and ETL Processes
Real-time Data Processing
Predictive Modelling
Decision Making in Business Contexts

Careers with Advanced Analytics - Big Data

Graduates of the Advanced Analytics - Big Data programme emerge as well-rounded Data Scientists, equipped to meet the needs of the domestic and international job markets. They find opportunities across diverse sectors including finance, government, non-profits, and corporate environments. Potential roles include data analyst, data engineer, and positions within analytics teams across various industries such as telecommunications, insurance, and consulting. Many alumni have successfully integrated into roles that require advanced data analysis and decision-making skills, contributing to impactful projects in their respective fields.

Programme Structure

Courses include:

History of Economic Thought

Advanced Macroeconomics

Advanced Optimization Methods

Basic and Advanced Programming in SAS with Statistics

Big Data

Data Mining Basic and Advanced with Text Mining

Key information

Duration

Full-time
- 24 months

Start dates & application deadlines

Starting 2026-09-30 00:00:00
- Apply before 2026-07-24 00:00:00 , International

Language

English

TOEFL^® IBT

72

Schedule TOEFL®

Credits

120 ECTS

Delivered

On Campus

Campus Location

Warsaw, Poland

Disciplines

Data Science & Big Data View 8 other Masters in Data Science & Big Data in Poland

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

TOEFL^® IBT

72

Schedule TOEFL®

Other requirements

General requirements

Signed application form printed from the on-line registration system;
ID card or passport (for inspection only);
Document confirming the knowledge of English;
Educational document entitling you to apply for admission to studies. If your educational document was issued by a non-Polish institution, it should also be:

- Legalised or endorsed with an apostille – not applicable in the case of IB and EB diplomas, as well as documents issued in any of the EU, EFTA or OECD member states.

- Translated into Polish or English by a certified translator – not applicable in the case of documents issued in one of these languages.

- In the case of a foreign secondary school leaving certificate, it should also be recognized by one of the Polish Education Superintendents – this requirement does not apply to IB and EB diplomas, documents issued in any of the EU, EFTA or OECD member states, as well as in China, Belarus, Ukraine and Libya.

Student Insurance via Studyportals Partner

Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.

Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.

Get your student insurance now

Starting from €0.53/day, free cancellation any time.

Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Warsaw School of Economics (SGH) and/or in Poland, please visit Student Insurance Portal.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

4600 EUR / year

≈ 4600 EUR / year
EU/EEA Applies to you

Applies to you

EU/EEA Nationals

4600 EUR / year

≈ 4600 EUR / year

Living costs

Warsaw

Poland

2247 - 3792 PLN / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.

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Scholarships Information

Below you will find Master's scholarship opportunities for Advanced Analytics - Big Data.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

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