Business Analytics & Data Science II
2-Year Master’s Degree Programme
Academic staff
Meet inspiring academic staff who are leading experts in the field.
Understanding the critical importance of real-world experience and industry knowledge in shaping future professionals, we have joined forces with leading representatives of the IT sector to improve the curriculum and learning outcomes of our program.
Our leading partner in this initiative is Sii sp. z o.o.. With over 7 500 specialists, Sii is the leading technology consulting, digital transformation, engineering, and business services vendor in Poland. This partnership is not only a testament to the quality and relevance of our program, but also a gateway for our students to immerse themselves in the cutting-edge practices and trends that define today’s digital world.
Core subjects
Quantitative Fundamentals - 45h
The program provides a comprehensive set of tools to support advanced studies in the area of quantitative finance, management and logistics or to prepare for employment in the financial or investment industries. You will be introduced with quantitative data fundamentals and also learn where to start when it comes to analysing quantitative data. Topics include: programming for data analysis, computational linear algebra, and quantitative methods.
Data Analytics in Business - 90h
This course prepares students to understand business analytics and become leaders in these areas in business organizations. This course teaches the scientific process of transforming data into insights for making better business decisions. It covers the methodologies, issues, and challenges related to analysing business data. At the beginning of the course, students will learn the foundation of analytical tools. The students will apply them to analyse real-world issues. The course will conclude with the challenges and opportunities of the big data.
Data Integration for Business Intelligence - 45h
Data integration is the collection of processes, tools and strategies by which fragmented data sources are aligned to support business goals. Data integration covers topics such as data preparation, data transformation and data modelling, it is the synonym to ETL (Extract-Transform-Load) process, which is an important part of data preparation to automated analysis. From technical point of view this subject covers: introduction to relational databases and SQL language, computer ETL tools (e.g. Pentahoo, Tableau Prep), data cleaning tools and techniques.
Programming for Data Science - 60h
Using IT tools for automatic data processing is one of the most wanted skill of data scientist. Python is one of most popular language in Data Science and also one of the top programming language, that is mentioned in almost all job offers for business analytics. Python package has also the great community of users that will help the young analyst to solve complex problems. During the course students will learn: Python fundamentals, basic syntax, data types and structures, conditional instructions and loops, basic statistical measures, graphics creation and web scrapping with Python. The outcome of the course will be the development of the analytical project basing on data stored in open data sets or provided by social media.
Polish language and culture - 60h
This academic module aims to provide an immersive learning experience, enabling students to enhance their proficiency in the Polish language while gaining insights into the country’s historical, social, and cultural contexts.
Structured to cater to a diverse range of proficiency levels, the curriculum balances linguistic instruction with cultural immersion, covering essential aspects of grammar, vocabulary, and communication skills in Polish. Simultaneously, it explores Poland’s cultural norms, traditions, business etiquette, and contemporary societal issues, offering a holistic view of the Polish way of life.
Through a combination of classroom instruction, interactive workshops, and cultural activities, students are encouraged to engage actively with the material, fostering a deeper appreciation of Poland’s contribution to global culture and economics. This course also highlights the significance of cultural understanding in international business, preparing students to navigate cross-cultural environments effectively.
Upon completion, participants will have not only improved their language skills but also acquired valuable cultural competencies, enriching their personal and professional development. This course is particularly beneficial for those looking to pursue careers in international business, diplomacy, or cultural exchange, providing them with a competitive edge in the global marketplace.
Advanced Data Visualization - 45h
The increasing number of data sources and growing data sets provide huge opportunities to use such data and its analysis to solve many problems. In this course students will learn how to become a professional at communicating business-relevant implications of data analyses and how to make effective visualizations using most popular visualization software (e.g. Tableau, Power BI). Using
examples from real world business cases we will demonstrate best practices for data visualization and data storytelling. This subject includes data visualization techniques, data analysis methods and some data mining concepts. At the end of the capstone project, the students are expected to gather data, create data models and design visual dashboards and data story (analytical decision support system), which can be used in real managerial processes.
Artificial Intelligence - 30h
The “Artificial Intelligence” course is a pivotal 30-hour academic offering designed for Master’s degree students, aimed at demystifying the core concepts and applications of artificial intelligence (AI) in the realm of economics and business. This curriculum is structured to provide a comprehensive overview of AI, including its theoretical foundations, algorithms, and the development of intelligent systems that can perform tasks requiring human intelligence.
The course emphasizes the practical implications of AI in business, covering areas such as predictive analytics, decision-making processes, and automation strategies. Through a blend of theoretical instruction and hands-on projects, students will explore how AI technologies like machine learning, deep learning, and neural networks can be leveraged to uncover insights from data, optimize operations, and create innovative products and services.
Key components of the curriculum include ethical considerations in AI deployment, the impact of AI on labor markets and organizational structures, and future trends in AI technologies. By engaging in case studies and collaborative projects, students will develop the skills to critically assess the potential of AI to transform business practices and drive sustainable growth.
Upon completing this course, students will have gained a solid foundation in artificial intelligence principles and their application in a business context, equipping them with the knowledge and skills to lead AI initiatives and contribute to the digital transformation of their organizations.
Business Process Management & Automation - 45h
This module aims to equip students with an in-depth understanding of the methodologies and technologies essential for optimizing, managing, and automating business processes. It focuses on imparting practical skills and knowledge that enable students to identify inefficiencies within business operations and implement strategic solutions to enhance productivity and reduce costs.
Emphasizing a hands-on approach, the curriculum explores the latest trends and tools in process mapping, analysis, and redesign, as well as the application of automation technologies like Robotic Process Automation (RPA) and Artificial Intelligence (AI) to streamline operations. Through a combination of lectures, case studies, and project-based learning, students will learn to design and manage efficient, agile business processes that can adapt to changing market demands.
This course also covers the strategic role of process management and automation in achieving organizational goals, including improving customer satisfaction, enhancing operational flexibility, and fostering innovation. By the end of the module, students will have acquired the skills to lead process improvement initiatives and drive digital transformation efforts within their organizations, making them valuable assets in today’s technology-driven business landscape.
Natural Language Processing - 45h
The “Natural Language Processing” (NLP) course is designed to provide a deep understanding of how natural language processing technologies can be utilized to extract insights, automate tasks, and enhance decision-making processes in the business domain. NLP stands at the intersection of computer science, artificial intelligence, and linguistics, offering powerful tools to handle and analyze large volumes of textual data generated in the business environment.
Focusing on the practical application of NLP techniques, the curriculum covers a range of topics from sentiment analysis and text classification to chatbots and machine translation. Students will engage in hands-on projects using state-of-the-art NLP libraries and frameworks, learning to develop algorithms that can process, understand, and generate human language in a way that is valuable for business intelligence, customer service optimization, and market trend analysis.
Throughout the course, emphasis is placed on solving real-world business problems, ensuring that students can apply their knowledge in practical settings to drive innovation and efficiency. The module also addresses ethical considerations and challenges in the deployment of NLP technologies. Upon completion, students will be equipped with the skills to leverage natural language processing to support strategic decision-making and enhance the competitive edge of their organizations in the global market.
Marketing Analytics and Decision Making - 30h
This subject introduces the theories and techniques of marketing analytics in the context of various marketing decision-making environments. Since businesses problems often have too many alternative solutions, you will learn how optimization can help you identify the best option. In this course, you discover how to develop quantitative models that leverage business data, statistical computation to forecast sales and marketing impact for customer relationship management, market segmentation, value creation, communication. It places particular emphasis on the application of statistical and computational models to decision-making issues likely to confront marketing managers today and in the future.
Communication and Presentation Skill - 15h
Effective communication & presentation skills are key to business success. In this course students learn how to improve their verbal and non-verbal communication skills to build relationships and establish trust. Students also learn how to prepare and make engaging presentations.
Agile Project Management - 30h
This subject will explore the history and philosophy of Agile project management, including the Scrum framework. Students will learn more about Scrum, exploring its pillars and values and relating essential Scrum team roles. During this course we will show how to manage and refine a product backlog, develop User Stories, implement Agile’s value-driven delivery strategies, and how
to effectively organize the five important Scrum events for a Scrum Team. The “Agile Project Management” course also includes instructions on most popular software tools (e.g. Redmine, Atlassian Jira) to apply hands-on learning of the topics.
Data-driven Business Management Project - 45h
Data-driven approach allows the managers to analyse the phenomena objectively and make the rational decisions, therefore the course is the case study of utilizing data sources and data transformation into managerial information. During the course students working in groups will develop the analytical project, that will consist of the following steps: formulating the aims, collecting the data form the open repositories, processing and visualization of the results with the known tools like R package, Business Intelligence tools, Graphical Information systems (GIS) in order to solve the Business problem and translate data into decisions. Finally, basing on the analysed data the final conclusions and recommendations will be developed.
Elective courses
Artificial Intelligence Applications module - 45h
The “Artificial Intelligence Application Module” is a forward-thinking 45-hour course tailored for Master’s degree students at the economic faculty, designed to immerse participants in the practical applications of artificial intelligence (AI) within the business sector. This specialized module provides a deep dive into how AI technologies can be harnessed to solve complex business problems, enhance decision-making processes, and drive innovation.
Centered on the practical deployment of AI, the curriculum emphasizes hands-on experiences with AI tools and platforms, enabling students to apply machine learning algorithms, natural language processing, and robotics to real-world economic and business challenges. Through a blend of lectures, case studies, and project-based learning, students will acquire the skills to design, implement, and manage AI solutions that can significantly improve operational efficiencies, customer experiences, and strategic outcomes.
The course aims to equip future business leaders with a solid foundation in AI principles and applications, emphasizing ethical considerations, sustainability, and the societal impact of AI technologies. Graduates of this module will emerge with the expertise to leverage AI in their professional endeavors, positioning them at the forefront of technological innovation in the business world.
Business Analytics and Data Science - 45h
The “Business Analytics and Data Science” module is a dynamic 45-hour program specifically designed for Master’s degree students within the economic faculty, emphasizing the practical application of analytics and data science in solving business problems. This intensive module aims to equip students with the skills to analyze complex datasets, derive actionable insights, and apply data-driven strategies to real-world business scenarios.
Focusing on the practical aspects of the field, the curriculum integrates hands-on learning with the use of state-of-the-art software tools and platforms, enabling students to work on actual business data and case studies. Participants will learn to employ statistical analysis, machine learning algorithms, and predictive modeling techniques to inform strategic decisions, optimize operations, and enhance customer engagement.
Through collaborative projects and interactive workshops, students will develop proficiency in data visualization, data management, and ethical considerations in data use, preparing them for the demands of the modern business environment. By the end of this course, graduates will have a comprehensive understanding of how to leverage business analytics and data science to drive innovation, efficiency, and competitive advantage in their future careers.
General business competences module - 45h
This academic class serves as a cornerstone in cultivating a broad spectrum of business skills essential for aspiring professionals in the dynamic economic landscape. The module covers a comprehensive range of topics, from strategic management and decision-making to financial analysis and market assessment, ensuring a well-rounded understanding of the modern business environment.
Structured to bridge theoretical knowledge with real-world application, this module facilitates the development of critical thinking, effective communication, and problem-solving skills, preparing students for leadership roles in their respective fields. By incorporating case studies, group discussions, and interactive sessions, the course fosters an engaging learning atmosphere that encourages collaboration and innovation.
Upon completion, participants will possess a robust foundation in general business competencies, equipped with the tools and insights necessary to navigate and excel in the complex world of business. This module not only enhances employability but also empowers students to make informed decisions and contribute meaningfully to their organizations and society at large.
Admission Requirements for Business Analytics & Data Science Master’s Program
Admissions to Business Analytics & Data Science Master’s Program are based on the following criteria:
- Submission of a complete set of documents.
- Submission of a document verifying proficiency in English, originating from an English-speaking country, or based on an English language interview.
The selection process for the BA&DS program will be based on a point ranking system derived from:
- assessment of the completed undergraduate course (0 to 30 points),
- cover letter (0 to 10 points),
- Letter of reference (0 to 10 points),
- an online interview, verifying knowledge of basic mathematics, quantitative methods and elements of programming (up to 50 points).
This targeted approach ensures a thorough evaluation of each candidate’s academic achievements and potential for success in the dynamic field of Business Analytics & Data Science.
Fees *
- Registration fee85 zł ≈ € 20
- Regular Fee€ 2500 / year
- Discounted fee€ 2300 / year(single full-year payment)
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What is Data Science?
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UMCS, DEAN of the Faculty of Economics
Prof. Mariusz Kicia, Associate Professor
Poland
Presentation of Business Partner of the Data Science programme
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Sii Sp. z o.o.
Poland
