ADMISSION FOR THE 2018/2019 ACADEMIC YEAR HAS BEEN CLOSED. ADMISSION FOR THIS PROGRAM WILL REOPEN IN MAY 2019.
About the program
- The Management and Artificial Intelligence in Digital Society Program is a specialization on the Bachelor in Management Program.
- The Program is a rare, but very necessary, combination of insightful management knowledge with programming skills and data analytics.
- The studies are aimed at educating more and more managers demanded on the labor market, who simultaneously have:
- business skills
- knowledge of new technologies and their impact on society
- knowledge of quantative and qualitative research methods
- programming competences (programming in several languages - Python, Java)
- In addition, students will master the tools for multidimensional analysis of the digitalization processes and will acquire the skills necessary to identify, acquire, store and analyze data of a large volume (Big Data).
- Students have the opportunity to familiarize themselves with theories that give a deeper understanding of the ongoing technological revolution and the related social and business changes.
- During the studies a module on artificial intelligence is implemended, thanks to which students acquire skills in the field of programming and machine learning as well as their use in business.
- From the second semester students will work in groups on a start-up or implementation project under the supervision of KU specialists.
- During their studies, students obtain a certificate which states that they completed a Python programming course, and a certificate of obtaining a basic course in machine learning.
- The Program offers a lot of freedom in developing the students' interests by offering elective courses aimed at deepening their interests.
- The studies are run only in full time mode.
- The Program is a part of "Academia 360" project and is co-financed by the European Union (the European Social Fund).
LEADERS OF THE PROGRAM
Dariusz Jemielniak, Ph.D. is a Full Professor of Management at Kozminski University where he heads MINDS (Management in Networked and Digital Societies) department and faculty associate at Berkman-Klein Center for Internet and Society at Harvard University (USA). In 2015 he joined Wikimedia Foundation Board of Trustees. He is an author of “Common Knowledge?” (2014, Stanford University Press, winner of Dorothy Lee Award for Outstanding Scholarship in the Ecology of Culture in 2015, and the Chair of the Polish Academy of Sciences academia award in 2016). He had annual appointments at Cornell University (2004-2005), Harvard University (2007, 2011-2012, 2015-2016), University of California Berkeley (2008). He regularly publishes in the leading, JCR-listed academic journals of the discipline. He also published books at Palgrave, Edward Elgar, or Ashgate. Fulbright scholar, "Polityka" grant recipient, and also a winner of a dozen of other academic merit awards.
Aleksandra Przegalińska-Skierkowska, Ph.D. is an assistant professor at the MINDS (Management in Networked and Digital Societies) department at KU. She received a doctoral degree in the field of the philosophy of artificial intelligence at the University of Warsaw. She is a graduate of The New School for Social Research in New York, where she participated in research on identity in virtual reality, with special emphasis on Second Life. She received a scholarship from the Fulbright Foundation. She also worked during the Polish Presidency of the EU Council as chairwoman of the Audiovisual Working Party on behalf of the Ministry of Culture and National Heritage. In 2016 she has started a fellowship at the Massachusetts Institute of Technology (MIT).
Agata Stasik, Ph.D. is an assistant professor of management at Kozminski University with background in sociology and science and technology studies, with the special focus on the governance of new technologies. She did research on dynamics of shale gas development, the impact of the Internet on technological risk governance, risk communication, and crowdfunding of technological innovation. Her current research interests include new forms of governance in energy innovations, practices and impacts of future(s) anticipation, and new research methodologies. She has been visiting researcher at University of Vienna, University of Gothenburg.
What you gain from your studies
- Theories in the field of management
- Artificial intelligence and machine learning
- Project management
- Innovations in the field of finance (fin-tech)
- Modern theories on innovation management
- Big Data analysis
- Business models developed in the digital economy
- Basics of programming in selected languages
- Basics of marketing in new media
- Use of theory to analyze problems concerning technology management and the role of technology in modern society
- Application of machine learning techniques
- Data visualization
- Applying strategic planning techiques to the problems of a given organization
CAREER OPPORTUNITIES AFTER YOUR STUDIES
The studies provide knowledge and competences enabling students to take up employment as a data analysis specialist. They also give valuable preparation for work in consulting (especially in IT consulting) and in corporations on managerial positions.
Typical organizations employing graduates are production and service enterprises, banks, insurance and telecommunications companies, but also the public administration, as well as research centers for data analysis and organizations focused on the digital economy: e-commerce, start-ups.
- Principles of Management
- Principles of Law
- Quantitative Methods
- Principles of Psychology
- Critical Thinking
- Report and Dissertation Development
- Principles of Finance
- HR Management
- Project Management
- Digital Marketing
- Strategic Management in New Economy: Business Models
- Qualitative Research
- Introduction to Management in E-Economy
- Introduction to Innovation Management
- Introduction to Digital Society
- Introduction to KPI
- Basic Scrum
- Introduction to Knowledge Management
- Idea Lab
- Computer Science
- Ethics in Business
- Introduction to Online Analysis
- Big Data and Algorithms
ELECTIVE SPECIALIZATION COURSES
- Introduction to Python and Machine Learning
- Advanced Python
- Legal Aspects of E-Economy
- Cloud Infrastructures and Other Business IT Tools
- Advanced Machine Learning
- Science and Technology Studies
- Introduction to Business E-Security
- Data Mining
- Social Networks Analysis with the Use of API
- MDA (Multidimensional Data Analysis)
- Methods of Data Visualization
- Coolhunting and Coolfarming with the Use of Condor
- Platforms, Crowds and the Sharing Economy
- Open Collaboration, Virtual Communities and Hacker Cultures
- Virtual Etnography
- New Product Development
- New Ventures Financing and Sales Pitching
- Startup Incubation Process
- Managing a Team in High-Tech Industry
- Customer/User Experience
Classes take place from Monday to Friday in the morning and in the afternoon.
Admission is based on the results of the matriculation exam (matura) in three subjects chosen by the candidate among all of the subjects in the examination.
Qualifying points are calculated based on the percentage results from the matriculation certificate (nowa matura) as follows:
- 1% at the basic level = 1.5 points
- 1% at the advanced level = 2 points
Grades obtained as result of the "old matriculation", International Baccalaureate system or a foreign high school diploma are also converted into qualifying points.
Candidates with highest number of admission points will be admitted.
During the application process candidates must submit a complete set of documents including:
- application form - complete the form online, print and sign the resulting document
- original high school diploma or an official duplicate issued by the candidate's high school or a notarized copy
- translation of a foreign high school diploma into Polish or English
- Recognition of the candidate’s high school diploma, if it was obtained abroad (it must be obtained before the end of first semester of studies) More information
It does not refer to credentials from EU, OECD, EFTA and countries with which Poland has agreements on recognition of education (Ukraine, Belarus, Austria, Germany, France, Czech Republic, Libya, Lithuania, Slovakia, China).
- 1 signed passport photograph
- copy of a national ID or passport
- proof of payment of the admission fee (non-refundable)
- certificate confirming proficiency in English (unless the high school courses were taught in English or English is the mother tongue) - 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 who scored at least 95% on the basic level or 80% in the extended level from English language at the Polish "Matura" examination 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)
Candidates who obtained their high school diplomas in a foreign country, are required to submit a translation of their diploma by a sworn translator and they must also obtain a recognition (before the end of the first semester of studies).
Documents can be submitted at the Admission Office on campus of Kozminski University, room D/126, or by post.
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
Tuition fee should be transferred to the individual student account which is assigned and sent to the student together with the admission decision.
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 Student Support and Service Center: email@example.com