Kozminski University offers a two-year Master in Big Data Science program conducted in English. It is designed to prepare students for work involving Big Data, artificial intelligence (AI), and machine learning across fields such as finance, economics, and the medical sector. The intensive program is scheduled during evening hours, making it accessible for individuals who are concurrently employed. Students can select from two distinct specializations.
The Master in Big Data Science at ALK is structured as a full-time, two-year program. Classes are held during evening hours, from 17:00 to 21:00, a format intended to accommodate students who wish to study while maintaining their professional careers. The curriculum is focused on providing comprehensive knowledge of advanced data collection techniques, data analysis, machine learning, and broader AI concepts.
Participants in the program choose between two specializations. The first, Data Analytics, is described as a demanding track that prepares students for careers primarily in finance, as well as other industries. It concentrates on developing advanced skills in the areas of Big Data and AI. The second option, Health Economics & Big Data Analytics, emphasizes the application of these technologies to optimize efficiency, manage costs, and allocate resources within the healthcare sector.
In addition to the core technical curriculum, the program integrates knowledge related to entrepreneurship, attracting venture capital, and cloud computing. A stated goal of the program is to provide support and mentorship for individuals who aim to become future technology entrepreneurs.
Students begin with advanced topics in mathematics, statistics, and econometrics from the first semester. The program places a strong emphasis on the immediate application of this knowledge through intensive practical classes and seminars. Graduates have reportedly secured positions at organizations such as Standard Chartered, Goldman Sachs, Microsoft, Accenture, Oracle, and Discovery.
The curriculum includes training in programming languages like R and Python, as well as cloud technologies including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform. Students gain access to several training platforms, such as Amazon AWS Academy, Bloomberg for Education, and GitHub for Education. Discount vouchers for Microsoft or Amazon certification exams are also made available.
The program addresses a significant demand in the Polish labor market for roles like machine learning engineers, AI engineers, and financial data analysts. Specialists in these fields reportedly earn, on average, at least 34% more than the average Polish salary. Market forecasts indicate that the demand for these specialists is expected to grow by an average of 14% annually over the next five years.
The teaching staff is comprised of both academics and active industry practitioners. According to the university, over half of the academic staff earned their doctoral degrees abroad, with experience from institutions like Oxford, Cambridge, and Bocconi University. The faculty also includes specialists from the IT sector and other industries, holding positions at companies such as P&G, Microsoft, and Oracle.
Students are given access to a wide range of business and academic databases. Business resources include Reuters, BankScope, and EMIS, while academic databases feature ScienceDirect, ProQuest, and JSTOR. Beyond research tools, ALK provides development opportunities through the Kozminski Business Hub and a Venture Capital Fund, which offer business mentoring and crowdfunding programs.
A professional internship is a compulsory component required for graduation. This internship consists of 130 hours, worth 5 ECTS credits, and is typically completed during the fourth semester, though earlier completion is possible with approval. The internship allows students to apply theoretical knowledge in a practical setting, build professional contacts, and gain field experience.
The program aims to develop a specific set of competencies, including advanced analytical skills, mastery of new technologies, and business-building expertise. Upon completion, graduates are prepared for a variety of roles. These include:
Quant
Machine Learning Engineer
Financial Analyst
AI Engineer
Data Solutions Architect
IT Business Analyst
Data Scientist
Data Analyst
Data Science for healthcare institutions
The Master in Big Data Science at Kozminski University is an evening program tailored for individuals seeking to advance in the fields of AI, data analytics, and machine learning, particularly in finance and healthcare. It combines an advanced academic curriculum with practical tool-based training, access to professional databases, and mandatory internship requirements. The inclusion of two distinct specializations and resources for entrepreneurship allows students to align the program with specific career goals.
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