MASTER IN BIG DATA SCIENCE

Master in Big Data Science

Level
Graduate Programs (Master)
Duration
2 years
Language
EN
Obtained title
Master's Level Degree
Mode
Full-time
Brochure
Contact
Dana Duda
Supervisor of the field of study
Dana Duda
About the studies
Basic information

The Master in Big Data Science is a two-year program conducted in English. The studies simultaneously prepare students to work in big data in the finance field. Aside from extensive finance knowledge, practical technical skills will be taught, such as identifying, collecting, analysing, interpreting, and transforming data, in order to face big data challenges in financial world. Furthermore, new trends in both areas will be presented, from venture capital to cloud computing.

EDUCATION BY USING GAMES Students have the possibility to use the interactive tools of MobLab, which supports gaining and perfecting business skills, among others, strategic thinking and decision making.  

Program highlights
1
The program is highly practical right from the beginning!

As part of the program, students will be able to work on professional business projects starting from the first semester.

Each student will have the opportunity to be matched with one of the following companies: Goldman Sachs, Microsoft, MicroStrategy, Accenture Operations, Bank Pekao S.A., Oracle, or Discovery.

2
Become a Data Scientist with Microsoft!

Thanks to the partnership with Microsoft on the Big Data Science program, our students will have the opportunity to participate in a special Microsoft workshop, which will make it possible to pass the Microsoft certificate exam. Microsoft will also provide scholarships for the best students, which will waive the examination fee!

3
Get an Analyst Certificate with MicroStrategy

Thanks to our partnership with MicroStrategy, students will have the opportunity to get an analyst certificate. During the exam, students will create reports to demonstrate their fundamental knowledge on MicroStrategy's platform.

4
Wide career opportunities

The attained expertise will allow graduates to handle business processes from data capture over to processing and visualisation, enabling them to participate in the decision-making process whether from a strategic or financing standing point by applying their problem-solving abilities and outside the box thinking. As a result, they will have the widest career opportunities in all areas  

5
You can gain an additional major in Health Economics and Big Data Analytics

Health Economics is a new but dynamically developing science. It is the discipline of economics applied to the topic of health care. Health Economics provides a set of methods and analytical approaches to study the effectiveness, efficiency and value of health technologies with the ultimate objective of optimal allocation of healthcare resources.

6
Students have access to multiple study resources allowing them to collect all the necessary information for solving practical business problems as well as to dwell into academic science.

The University provides access to the wide range of databases, including Reuters, BankScope, EMIS, Infinancials, etc. (a complete list can be found here), which represent an essential toolkit for business analysis. Academic databases such as ScienceDirect, ProQuest, JSTOR etc. allow to track the most recent research findings in the domains of economics and finance.

Partners of the program

As part of the program, students will be able to work on professional business projects starting from the first semester. Each student will have the opportunity to be matched with one of the following companies: Goldman Sachs, Microsoft, MicroStrategy, Accenture Operations, Bank Pekao S.A., Oracle, or Discovery.

Watch a short video on the program
Program leader
Prof. Aneta Hryckiewicz-Gontarczyk

Taking part in this unique Big Data program enables students to link theory with practice -  simultaneously gaining professional experience. From the first semester on, each student gets the chance to work with an assigned university mentor as well as company mentor to tackle the finance big data world. The partnership with global Big Data companies is a key asset of the program. Apart from excellent networking opportunities, classes are to some extend conducted by practitioners. Real-life business case studies are solved by the students in collaboration with the mentors. The majority of classes takes place in computer labs with access to platforms such as Bloomberg and Reuters. We encourage students to follow their passion and attend programming languages within their area of interest. To round up the experience, students take part in a trainee program during the last semester – with a strategic partner of their choice. There is no better way to start a career! 

What You Gain From Your Studies?
  • This innovative international Master program offers you hands-on experience of Business Analytics in collaboration with global companies across various industries, in a European country known for its technological know-how.
  • This full-time international Master program enables you to build your career in applied data analytics, an area of high demand in top companies worldwide.
  • Enhance your profile with excellent analytical skills, in order to facilitate the decision-making process.
  • Extend your knowledge and skills within your area of interest through a number of elective courses.
  • Improve your command of professional terminology not only in finance but also in the age of digitalization.
  • Prepare yourself for further personal and professional development.
Career Opportunities After Your Studies
  • Big Data Analytics Manager 
  • Data Solutions Architect 
  • Business Intelligence Consultant 
  • Financial Market Analyst 
  • Analytics Consultant 
  • Business Analyst 
  • Business Consultant 
  • A specialist in any department of a company where knowledge of finance and big data is a must 
  • An employee of a financial department in an international corporation or a financial institution 
  • Data Scientist 
  • Researcher 
Program structure
Key topics (what and how you will learn)
You can also choose the Health Economics and Big Data Analytics major

General Courses 

  • Advanced Corporate Finance 
  • Building Research Models in R 
  • Elements of Descriptive Statistics and Statistical Inference 
  • Introduction into VBA in Quantitive Analysis 
  • Statistical Hypothesis and Properties Using R 
  • Analysis of Financial Data Relationships  
  • Linear Regressions in Analysis 
  • Construction and Exploration of Databases 
  • Methods of Data Cleaning and Aggregation 
  • Oracle for Creation of Databases 
  • Development of Project Management Skills with Negotiation Elements 
  • Financial Corporate Reporting  

Major courses 

  • Analysis of Financial Markets 
  • Advanced Analysis of Financial Markets 
  • Bayesian Financial Analysis 
  • Financial Mathematics 
  • Financial Economics with Macroelements 
  • Introduction into Reuters, Bloomberg and Other Databases 
  • Introduction into R, SAS, Matlab and Mathematica 
  • Introduction into Hadoop  
  • Data Processing in the Cloud 
  • Data Security 
  • Financial Data Mining 
  • Methods of Multidimensional Data Analysis 
  • Data Analysis and Simulations Using R 
  • Making Big Data Analytics Interactive, Using PowerPivot, SharePoint, Tableau and MicroStrategy 
  • Methods of Data Visualization and Reporting, Using MO and Tableau 

Elective Courses 

  • Panel Data Analysis 
  • Analysis of Time-Series Data 
  • Simulations and Predictions 
  • Financial Data Optimazation 
  • Elementary of Text Mining on Financial Markets 
  • Webmining 
  • Social Media 
  • Venture Capital Funding 
  • Hacker Culture 
  • Financial Analysis and Reporting 
  • Financial Budgeting 
  • Advanced Corporate Finance 
  • Operations Research 
  • Marketing Research 
  • Economic Research 
  • Using Python 
  • Using SQL 
  • Using SAS
  •  

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Full-time programs 

Classes take place from Monday to Friday in the morning and in the afternoon.

Community
Student & Alumni Opinions
Shafiga Akhudova
Shafiga Akhudova

As a part of my Master degree, I was lucky enough to be selected for project with Goldman Sachs. Currently, I am working with the Risk Department that mainly focuses on preventing the company from losing money, rather than making money for it. During this project, I have learned much not only about financial aspects, but also about programming and the real struggles of Big Data Analysts. I have discovered that collection and data preparation can be very challenging, even more challenging than using this data for a problem solution. It was a practical example of a project that I might get in my future career in Big Data field. All in all, I am very grateful that Kozminski University offers the students such great opportunities to learn, to develop new skills, to discover talents that we did not know existed within ourselves. I am looking forward for more challenges and opportunities during my studies and career!

João Pereira
João Pereira

I came to Warsaw looking for a practical and solid education in the field of Big Data. Being confident that this field is the hottest professional path I could envision for myself, I selected Kozminski to get it started. At the university, I have the great opportunity not only to obtain practical knowledge from lecturers but also to collaborate on a weekly basis with Goldman Sachs on building a financial predictive model. This project is just the cherry on the top of the cake that makes my academic life exciting, challenging and that also will get my career started in Warsaw or elsewhere in the world with just the right set of skills needed in this industry.

Admission
Admission requirements

Admission for full-time and part-time Master programs at Kozminski University is based on 2 criteria: GPA on your previous studies and results of an online entry test. Maximum score is 100 points - 50 points for the test and 50 for GPA. Candidates who scored at least 60 points from both criteria will be qualified to the program.

Entry Test

The entry test is scheduled for 30 minutes and is composed of 25 close-ended questions. The test is meant to check the background of the candidate, data interpretation, analytical thinking and logical reasoning skills. As preparatory materials the Leaders of the program suggest practice questions to GMAT's analytical and quantitative parts.

Required documents

Application for full time and part time Master's programs at Kozminski University must include:   

  • application form - complete the form online, print and sign
  • original Bachelor/Master degree diploma or notarized copy and transcript of records (translation of the documents into Polish)
  • 1 signed passport photograph 
  • copy of the national ID or a passport 
  • CV in English
  • proof of payment of the admission fee (non-refundable)
  • certificate confirming proficiency in English
    • FCE, CAE, CPE, BEC, CEIBT issued by the University of Cambridge
    • IELTS  (at least 6.0 points, academic level)
    • TOEFL iBT (at least 87 points)
    • TOEIC (at least 700 points from the test)
    • LCCI (English for Business Level 2, 3, 4)
    • FTBE (Foundation Certificate for Teachers of Business English)
    • TELC (B2 Certificate in English)
    • Pearson certificate at least B2 level

Only candidates who scored at least 95% on the basic level or 80% in the extended level from English language at the Polish "Matura" examination, completed European Baccalaureate, completed International Baccalaureate or completed education instructed in English in one of the EU countries, Great Britain, Ireland, USA, Canada, Australia, New Zealand, can be excluded from submitting an English proficiency certificate.

Additional support

In case of visa, accommodations and other daily issues please contact our Students Support and Service Center: studentsupport@kozminski.edu.pl 

Foreigners who need a visa to study in Poland are additionally required to make payment of tuition for one full year of studies before we can issue documents necessary in the visa application process i.e. invitation to come to Poland and the admission decision.

Admission commission issues a conditional acceptance letter including individual account number to which the payment should be transferred in Polish Złoty (PLN) calculated according to the exchange rates of the National Bank of Poland (www.nbp.pl). In case the candidate is denied a visa tuition is returned.

Admission fee is non-refundable.

Step-by-step admission procedures
1
Register on-line

The admission form is available online.  

Transfer from another university  

2
Make payment of the admission fee

The admission fee should be transferred to the Kozminski University bank account or made through the platnosci.pl system available after completing the online application form.

3
Submit your application

All of the required documents should be submitted in the Admissions Office (in person or via regular post).

4
Entry test

Participation in online entry test is required for all candidates. Candidates are enrolled to the test after the application is reviewed and accepted by the Admission Committee.

5
Admission decision

The decision is issued in few working days after the test is cleared. Candidates who obtained at least 60 points from both admission criteria are qualified for program. 

 

6
Signing of the contract

The final step of the admission process is signing the agreement

Tuition and fees
Master in Big Data Science - Tuition Fees
I year - tuition per semester II year - tuition per semester
Tuition per semester paid in full (PLN) 11 900 PLN 12 500 PLN
Tuition per semester in 5 installments (PLN) 5 x 2 400 PLN 5 x 2 520 PLN
Tuition per semester paid in full (EUR) 2770 EUR* 2910 EUR*
Tuition per semester in 5 installments (EUR) 5 x 560 EUR* 5 x 590 EUR*
Admission fee: 100 PLN / 24 EUR*

* Exchange rates according to NBP table of 2020-02-03: 1 EUR = 4,301 PLN PRICES IN PLN ARE APPLIED. If you pay in EURO please note that payments in EUR are recalculated into PLN according to the exchange rate of Millennium Bank based on the day of receipt of payment to the Kozminski University bank account. Check current exchange rate.  

Payment of the admission fee should be made to the following bank account:   

Name of the bank: Pekao S.A. II o/Warszawa  Address: Grzybowska 53/57,  Warszawa  Bank account number: 20 1240 1024 1111 0010 1646 0637  SWIFT code: PKOPPLPW  IBAN: PL 

Scholarships and discounts
Benefits of studying in Kozminski