Minor Critical Thinking, Business Analytics & Intelligence
This Minor provides a unique blend of qualitative and quantitative sets of knowledge, skills and attitude that enables the students to deal with real life problems and find them feasible solutions.
1. Learning Outcome Data collection and Analysis:
Focuses on training the participants on working on journey of working with data.
2. Learning Outcome Critical Thinking:
Focuses on upgrading the participant’s process of thinking by introducing a structured approach.
3. Learning Outcome Decision Making and Optimization:
Focuses on training the participants to employ systematic approaches for problem solving and optimization using the existing tools, techniques, and knowledge.
Minor content
Learning outcome: Critical Thinking:
1. What is Critical Thinking?
2. Dispositions; includes some self-testing.
3. Argument identification, reconstruction, and evaluation
4. Assumptions, cognitive biases
5. Fallacies
Learning outcome Business Analysis
1. Data collection methods
2. Qualitative data analysis
3. Quantitative data analysis
4. Data analysis tools (software)
This minor is offered by International Business.
Structure of the minor
Critical Thinking: This module equips students with the foundational skills required to analyze and evaluate information critically. Through engaging coursework and interactive exercises, students will learn to identify biases, recognize logical fallacies, and assess the reliability of sources. They will also explore strategies for synthesizing diverse perspectives and forming well-reasoned arguments—an essential skill set for navigating the ethical and social implications of AI technologies.
Business Analytics: In this module, students delve into the principles of business analytics and data-driven decision making. Through hands-on projects and case studies, students will learn how to collect, analyze, and interpret data to inform strategic decision-making processes. They will also explore the role of AI algorithms and machine learning techniques in extracting insights from large datasets, enabling them to leverage data-driven approaches effectively in real-world scenarios.
Business Analytics: In this module, students delve into the principles of business analytics and data-driven decision making. Through hands-on projects and case studies, students will learn how to collect, analyze, and interpret data to inform strategic decision-making processes. They will also explore the role of AI algorithms and machine learning techniques in extracting insights from large datasets, enabling them to leverage data-driven approaches effectively in real-world scenarios.
Study features
The minor is founded on the basis of delivering 3 learning products (portfolio critical thinking, Portfolio Business Analytics and portfolio Business Intelligence) that together enhance the path of acquiring the skills, knowledge, and attitude that are required for dealing with actual business problems at all cognition levels (remembering, understanding, applying, analyzing, evaluating, and creating) at an easy-to-medium difficulty level. The details of each learning outcome that will result in the mentioned learning product will be available in the manual of the minor. Total of 15 ECs
This minor is accessible for a maximum of 30 students who obtained a propaedeutic degree or comparable from a Bachelor's program and have a good command of English (at least CEFR level B2 level).
