WEBINAR ON THE BIG DATA ANALYSIS SPECIALIZATION:
5th of September 2018! More information on how to join the webinar here.
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.
Partners of the program:
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
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
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.
Director Executive Education Microsoft Poland
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.
General Manager, VP, Global Delivery Center MicroStrategy, Inc.
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.
Classes take place from Monday to Friday in the morning and in the afternoon.
Admission for the Program is based on a written exam (online test). Candidates with the highest score will be qualified.
Application must include:
Foreigners are additionally required to submit:
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 September. Access to the online test for will be granted on 24th of September to candidates qualified in supplementary admission. The 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
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.
|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.
On Saturday, at noon: