Big Data Analysis 2-year program - Specialization on the Master in Finance and Accounting Program

About the program 

The Big Data Analysis specialization, on our Master in Finance and Accounting studies, is a two-year program conducted in English, which is held in collaboration with industry experts from global companies. 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.

  • 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
  • In 2018 the Master in Finance and Accounting program was ranked 17th in the world in the Global Masters in Finance Ranking published by "Financial Times". It is the only program ranked from Central and Eastern Europe. The Big Data Analysis program is a specialization on the Master in Finance and Accounting Program.
  • Kozminski University is an academic partner of the CAIA Association.Becoming a partner of the CAIA Association, a global network of more than 9,000 alternative investment professionals located in more than 90 countries, gives our students access to CAIA's vast databases and the possibility to get a special scholarship.
  • The Program is a part of the "Academia 360" project and is co-financed by the European Union (European Social Fund).

Partners of the program:

 

A word from the program's coordinator

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!

Professor Aneta Hryckiewicz

A word from a program's lecturer

BIG DATA REVOLUTIONIZED THE WAY BUSINESSES FUNCTION.
The aim of the Big Data Analysis course is to teach students skills that constitute a practical value at work and, simultaneously, a great asset in students’ CVs. Students are taught how large data sets are handled in accounting, finance and banking. Concepts of relational databases are presented to learn how to work with ‘real’ data whilst practicing SQL programming by solving exercises at various levels of difficulty during each class. I strongly advise students to participate in all classes as we are consistently diving into more advanced concepts. As utilization of analytical software is a must – used by specialized data-driven professionals in finance, we give students the opportunity to become experts, in order to successfully master the future work challenges of a data-driven world.

Professor Łukasz Kozłowski

A word from the program's partner: Microsoft

In today’s world of digitalization and complexity we all are trying to bring great results in a limited amount of time. Microsoft’s perspective on Big Data is clear. Based on high performance computing, parallel calculations and scalable cloud platform we can do it incredibly fast and most important- in a secure way.

Data volumes are exploding—from traditional point-of-sale systems and e-commerce websites to new customer sentiment sources like Twitter and IoT sensors that stream data in real time using Apache Hadoop and Spark. By analyzing a diverse dataset from the start, we can make more informed decisions that are predictive and holistic rather than reactive and disconnected.

By using Microsoft Big Data technologies students can work with top - class tools and resources than open new era of data driven results. And most probably… enter the world of Artificial Intelligence in the near future.

Cecylia Szymanska-Ban
Director Executive Education Microsoft Poland

A word from the program's partner: MicroStrategy

In MicroStrategy we believe, that the future belongs to Intelligent Enterprises. It is our mission to provide first class innovative software that empowers people to make better data driven decisions and transform the way we do business. All this starts with Big Data analytics and the way we use it as a tool. We are very excited to be part of this unique program at Koźmiński University providing series of lectures and workshops sharing our knowledge using MicroStrategy platform and Desktop tools. Students will learn how to use business intelligence and predictive analytics to search through and combine Big Data from a variety of sources. Our lectures will teach students how to design and create reports, visual interactive dossiers, boardroom documents and mobile aps. We want to create an opportunity for young people to obtain MicroStrategy Certified Specialist Analyst (MCSA) certification – a document very well recognized in the BI industry.

Tomasz Gosciniak
General Manager, VP, Global Delivery Center MicroStrategy, Inc.

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

STUDY RESOURCES 

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 a plethora 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. Thanks to a special agreement, KU students have access to the published materials of "Financial Times" (including articles, webcasts, business data and interactive graphics), which provides an unparalleled international exposure and essential multidisciplinary knowledge of global politics and finance. 

Being a highly positioned academic institution, Kozminski University puts a strong emphasis on rigorous research aimed at gaining new insights into business and economics through the application of refined methodology. KU staff publish prolifically in prestigious peer-reviewed journals such as Journal of Corporate Finance, Journal of Banking and Finance, Journal of Financial Stability, Emerging Markets Review, etc.  

Selected courses 

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
Specialization 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

Class schedule 

  • Full-time programs

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

Admission requirements 

Admission for the Program is based on a written exam (online test). Candidates with the highest score will be qualified.

Required documents 

Application must include:

  • application form - complete the form online, print and sign
  • original Bachelor/Master degree diploma or notarized copy and transcript of records
  • 1 signed passport photograph
  • copy of the national ID or a passport 
  • CV in English
  • at least one reference letter
  • proof of payment of the admission fee (non-refundable)
  • certificate confirming proficiency in English (unless the high school/university courses were taught in English) - e.g. FCE, CAE, CPE, BEC, CEIBT issued by the University of Cambridge; IELTS (>=6.0 points); TOEFL IBT (>=87 points); TOEIC (at least 700 points from the test); LCCI (English for Business level 2, 3, 4); London Test of English certificates (PEARSON) - level 3, 4, 5 (certificates Edexcel). 
  • Polish citizens citizens who did their previous studies in English or who scored at least 95% on the basic level or 80% in the extended level from English Language at the Polish Matura or successfully went through the interview, can be excluded from submitting an English proficiency certificate. 
    List of documents confirming the knowledge of English language (pdf)
  • Declaration of participation in the project (pdf)
  • Project participant declaration (pdf)

Foreigners are additionally required to submit:

  • medical certificate (before acceptance)
  • copy of a valid visa or the residence permit (after acceptance)
  • health and accident insurance (after acceptance)

All documents issued in foreign languages should be translated into Polish or English by a sworn translator.

Documents should be delivered to the KU Admission Office (room D/126) till the 10th of July, 2018. Access to the online test will be granted on 20th of July to qualified candidates. The results of admission will be announced on 25th of July, 2018. 

Supplementary admission will run from 11th of July until 20th of SeptemberAccess to the online test for will be granted on 24th of September to candidates qualified in supplementary admissionThe results of admission will be announced on 28th of September, 2018. 

The admission fee is 260 PLN for EU citizens and 390 PLN for non-EU citizens.
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

Candidates from foreign countries 

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.

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

Tuition and fees 

Big Data Analysis Specialization (full-time)

Tuition per semester 2900 PLN 696 EUR* 853 USD*
Admission fee - EU 260 PLN 63 EUR* 77 USD*
Admission fee - non-EU 390 PLN 94 EUR* 115 USD*


* Exchange rates according to NBP table of 2018-01-16: 1 EUR = 4,1696 PLN, 1 USD = 3,4010 PLN
PRICES IN PLN ARE APPLIED. If you pay in EURO or USD please note that payments in EUR and USD 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.