Duration: 12 Months (1 year)
The program integrates:
• Tourism & Hospitality Operations
• Business Management & Entrepreneurship
• EU & Lithuanian Legal Compliance
• Customer Service Excellence
• Sustainable Tourism (EU Green Policies)
• Digital & Smart Tourism Systems
• International (EU-aligned) curriculum
• Industry-focused training
• Legal compliance with Lithuanian framework
• Practical + theoretical balance
• Step-by-step certification pathway
• Total Modules: 24
• Fully aligned with Lithuanian & EU standards
• Progressive learning from basic → advanced → strategic level
• Each module = 1 week
• 5 days per week × 2 hours per day
• Only daily teaching topics (Day 1–Day 5)
• Fully aligned with Lithuanian/EU tourism context and Lithuanian Company Law
The objectives of this program are to:
1. Develop Advanced Critical Thinking Competencies
Enable learners to analyze complex issues, evaluate multiple perspectives, and apply higher-order thinking skills in academic and professional contexts.
2. Strengthen Strategic Problem-Solving Abilities
Equip participants with advanced frameworks and tools to solve multi-dimensional and real-world problems effectively.
3. Enhance Data-Driven Decision-Making Skills
Develop the ability to interpret data, assess evidence, and make informed decisions using analytical and quantitative approaches.
4. Master Logical Reasoning and Argumentation
Build expertise in constructing, analyzing, and evaluating sophisticated arguments and identifying logical inconsistencies.
5. Promote Systems and Strategic Thinking
Foster the ability to understand complex systems, interdependencies, and long-term implications of decisions.
6. Integrate Creativity with Analytical Thinking
Encourage the application of innovative and design thinking approaches alongside structured analytical methods.
7. Develop Research and Inquiry Skills
Enable learners to conduct structured research, formulate hypotheses, and analyze findings critically.
8. Enhance Leadership and Decision-Making Capacity
Prepare learners to take leadership roles by applying critical thinking in organizational and team-based environments.
9. Improve Communication and Persuasion Skills
Strengthen the ability to present ideas, arguments, and solutions clearly, logically, and persuasively.
10. Promote Ethical and Responsible Decision-Making
Instill a strong sense of ethics, integrity, and accountability in analyzing and solving problems.
11. Apply Critical Thinking in Professional Contexts
Enable learners to use critical thinking and problem-solving skills in business, education, policy, and other professional domains.
12. Prepare for Advanced Learning and Professional Practice
Provide a strong foundation for advanced studies, research, or professional roles requiring high-level analytical thinking.
Upon successful completion of this program, learners will be able to:
1. Apply Advanced Critical Thinking Skills
Analyze complex issues, evaluate multiple perspectives, and synthesize information to form well-reasoned conclusions.
2. Solve Complex and Multi-Dimensional Problems
Use advanced frameworks and structured methodologies to address real-world and professional challenges.
3. Make Data-Driven and Strategic Decisions
Interpret quantitative and qualitative data to support informed, rational, and strategic decision-making.
4. Construct and Evaluate Sophisticated Arguments
Develop well-structured arguments supported by evidence and critically assess opposing viewpoints.
5. Apply Systems and Strategic Thinking
Understand complex systems, interdependencies, and long-term implications in decision-making processes.
6. Integrate Creativity with Analytical Thinking
Combine innovative thinking with logical analysis to design effective and practical solutions.
7. Conduct Structured Research and Analysis
Design basic research, formulate hypotheses, collect data, and analyze findings systematically.
8. Demonstrate Leadership in Decision-Making Contexts
Lead teams and contribute to organizational decision-making using critical thinking principles.
9. Communicate Ideas Persuasively and Professionally
Present arguments, analyses, and solutions clearly, logically, and convincingly in both written and oral formats.
10. Address Ethical and Professional Challenges Effectively
Apply ethical frameworks and professional standards when solving problems and making decisions.
11. Analyze Real-World and Industry-Specific Problems
Apply learned skills to business, social, and organizational case studies.
12. Manage Uncertainty and Risk in Decision Making
Evaluate risks, anticipate outcomes, and make balanced decisions under uncertainty.
13. Develop and Present Practical Solutions
Design, implement, and communicate feasible solutions to complex problems.
14. Complete Applied Projects and Case Studies
Successfully undertake projects and case analyses demonstrating integrated knowledge and skills.
15. Prepare for Advanced Professional and Academic Pathways
Gain the competencies required for advanced diploma programs, research roles, or analytical professions.
| Module | Topic | Brief Description (Day-wise Lesson Plan) |
|---|---|---|
| 01 | Introduction to Critical Thinking |
• Meaning and importance of critical thinking • Characteristics of a critical thinker • Difference between critical thinking and ordinary thinking • Role of critical thinking in daily life and professional settings • Case examples of critical thinking in real-life situations |
| 02 | Types of Thinking (Analytical, Creative, Reflective) |
• Analytical thinking • Creative thinking • Reflective thinking • Logical thinking • Comparative analysis of different types of thinking |
| 03 | Barriers to Critical Thinking |
• Psychological barriers to thinking • Emotional influences on decision making • Social and cultural barriers • Introduction to cognitive biases • Strategies to overcome thinking barriers |
| 04 | Basics of Logic & Reasoning |
• Introduction to logic and reasoning • Statements, propositions, and truth values • Structure of arguments and conclusions • Valid vs invalid reasoning • Practice exercises on logical reasoning |
| 05 | Argument Structure & Analysis |
• Components of an argument • Identifying premises and conclusions • Evaluating strength of arguments • Techniques for argument analysis • Practical argument evaluation exercises |
| 06 | Identifying Assumptions & Biases |
• Understanding assumptions in thinking • Identifying hidden assumptions • Introduction to cognitive biases • Common types of biases • Bias identification in real-life scenarios |
| 07 | Introduction to Problem Solving Models |
• Concept and importance of problem solving • Types of problems (simple vs complex) • Steps in problem solving • Linear and non-linear approaches • Real-life problem solving examples |
| 08 | Problem Identification Techniques |
• Defining problems clearly • Writing effective problem statements • Tools and techniques for problem identification • Differentiating symptoms and root causes • Practice on real-world problem identification |
| 09 | Root Cause Analysis (Basic) |
• Introduction to root cause analysis • 5 Whys technique • Fishbone (Ishikawa) diagram basics • Identifying root causes vs symptoms • Case-based root cause analysis practice |
| 10 | Decision-Making Fundamentals |
• Introduction to decision making • Types of decision making • Steps in decision-making process • Factors influencing decisions • Practical decision-making exercises |
| 11 | Creative Thinking Techniques |
• Introduction to creative thinking • Brainstorming methods • Mind mapping techniques • Lateral thinking approaches • Creative problem-solving exercises |
| 12 | Review + Case Study + Exam Preparation |
• Review of Modules 1–3 • Review of Modules 4–6 • Review of Modules 7–9 • Review of Modules 10–11 • Full course revision and integrated case study discussion |
| 13 | Advanced Logical Reasoning |
• Advanced concepts in logical reasoning • Structure of complex arguments • Identifying logical patterns • Logical consistency and coherence • Practice on advanced reasoning problems |
| 14 | Deductive vs Inductive Reasoning |
• Introduction to deductive reasoning • Introduction to inductive reasoning • Differences between deductive and inductive reasoning • Strengths and limitations of both approaches • Practical exercises on both reasoning types |
| 15 | Fallacies in Reasoning |
• Introduction to logical fallacies • Common formal fallacies • Common informal fallacies • Identifying fallacies in arguments • Practice with real-life examples of fallacies |
| 16 | Evidence-Based Thinking |
• Concept of evidence-based thinking • Types of evidence • Evaluating credibility of sources • Distinguishing facts from opinions • Applying evidence in decision making |
| 17 | Data Interpretation Basics |
• Introduction to data interpretation • Types of data (qualitative vs quantitative) • Reading charts, graphs, and tables • Identifying patterns and trends • Practice with data interpretation exercises |
| 18 | Problem Framing Techniques |
• Understanding problem framing • Importance of framing in problem solving • Techniques for reframing problems • Narrow vs broad problem framing • Practice on reframing real-world problems |
| 19 | Systems Thinking Introduction |
• Introduction to systems thinking • Components of a system • Interconnections and relationships • Feedback loops (basic) • Applying systems thinking to simple problems |
| 20 | Decision-Making Models |
• Overview of decision-making models • Rational decision-making model • Intuitive decision-making model • Bounded rationality concept • Application of decision models in real scenarios |
| 21 | Risk Analysis Basics |
• Concept risk and uncertainty • Types of risks • Risk identification techniques • Basic risk assessment methods • Practical risk analysis exercises |
| 22 | Brainstorming & Ideation Methods |
• Principles of brainstorming • Structured brainstorming techniques • Individual vs group ideation • SCAMPER and other ideation tools • Practice sessions on idea generation |
| 23 | Group Problem Solving |
• Dynamics of group decision making • Roles in group problem solving • Communication in teams • Conflict management in groups • Group-based problem-solving exercises |
| 24 | Assessment |
• Review of Modules 13–15 • Review of Modules 16–18 • Review of Modules 19–21 • Review of Modules 22–23 • Integrated case study and full revision |
| 25 | Advanced Problem Solving Frameworks |
Overview of advanced problem-solving frameworks Analytical vs intuitive problem-solving approaches Structured problem-solving models (e.g., PDCA, DMAIC) Selecting appropriate frameworks for different problems Case-based application of frameworks |
| 26 | Systems Thinking (Advanced) |
Advanced concepts of systems thinking System dynamics and complexity Feedback loops (reinforcing and balancing) Identifying leverage points in systems Case applications of systems thinking |
| 27 | Complex Problem Analysis |
Understanding complex vs complicated problems Breaking down complex problems Multi-variable analysis techniques Interdependency mapping Real-world complex problem analysis |
| 28 | Strategic Thinking Basics |
Introduction to strategic thinking Long-term vs short-term thinking SWOT analysis fundamentals Strategic decision-making processes Strategic thinking exercises |
| 29 | Business Problem Solving |
Types of business problems Problem-solving in organizational contexts Cost-benefit analysis Decision-making in business environments Business case exercises |
| 30 | Case Study Analysis |
Introduction to case study method Techniques for analyzing case studies Identifying key issues in cases Developing solutions from cases Practice with real-world case studies |
| 31 | Quantitative Reasoning |
Introduction to quantitative reasoning Basic numerical analysis techniques Interpreting quantitative data Logical reasoning with numbers Practice exercises on quantitative problems |
| 32 | Data-Driven Decision Making |
Role of data in decision making Data collection methods Data analysis for decisions Interpreting results and insights Case-based data-driven decisions |
| 33 | Ethical Decision Making |
Principles of ethical decision making Ethical frameworks and models Identifying ethical dilemmas Balancing ethics and outcomes Case studies on ethical decisions |
| 34 | Behavioral Psychology in Thinking |
Introduction to behavioral psychology How behavior influences decisions Heuristics in thinking Biases from psychological perspectives Applications in real-life decision making |
| 35 | Cognitive Biases (Advanced) |
Advanced study of cognitive biases Impact of biases on decision making Bias mitigation techniques Bias in organizations and society Practical bias identification exercises |
| 36 | Research Methods |
Introduction to research methodology Qualitative vs quantitative research Research design basics Data collection techniques Ethical considerations in research |
| 37 | Hypothesis Testing |
Concept hypothesis and variables Formulating hypotheses Basics of hypothesis testing Interpreting test results Practice exercises |
| 38 | Scenario Planning |
Introduction to scenario planning Identifying future uncertainties Building alternative scenarios Evaluating potential outcomes Scenario-based decision exercises |
| 39 | Innovation & Design Thinking |
Introduction to design thinking Stages of design thinking process Empathy and user-centered design Prototyping and testing ideas Innovation exercises |
| 40 | Conflict Resolution Techniques |
Types of conflicts Causes of conflict Conflict resolution strategies Negotiation basics Role-play and practical exercises |
| 41 | Negotiation & Decision Strategy |
Principles of negotiation Negotiation styles and tactics Decision-making during negotiation Win-win strategies Practical negotiation exercises |
| 42 | Leadership & Decision Making |
Role of leadership in decision making Leadership styles Decision-making under pressure Group leadership challenges Leadership case studies |
| 43 | Critical Writing & Argumentation |
Structure of critical writing Developing arguments in writing Supporting arguments with evidence Evaluating written arguments Writing practice exercises |
| 44 | Presentation & Persuasion Skills |
Principles of effective presentation Structuring persuasive arguments Verbal and non-verbal communication Audience analysis Presentation practice |
| 45 | Real-world Problem Lab |
Identifying real-world problems Applying learned frameworks Group-based problem solving Solution development Presentation of solutions |
| 46 | Industry Case Analysis |
Industry-specific problem identification Analyzing business and social cases Applying analytical tools Developing practical solutions Case presentation and feedback |
| 47 | Capstone Project (Part 1) |
Project topic selection Problem definition and scope Literature review basics Research planning Initial project development |
| 48 | Final Diploma Assessment |
Review of Modules 25–30 Review of Modules 31–36 Review of Modules 37–42 Review of Modules 43–47 Final assessment and project submission |