Program Overview
This program is designed to equip education and technology leaders with the strategic, technical, and managerial expertise required to lead AI-driven digital transformation in the education sector. It focuses on strategic AI and technology governance, enabling professionals to develop and implement AI, Large Language Models (LLMs), and adaptive learning technologies while addressing global privacy and regulatory frameworks. Participants develop expertise in EdTech product leadership and Learning Experience (LX) design, integrating human-centered design, cognitive learning principles, and prompt engineering into AI-powered educational solutions. The program also develops capabilities in educational data science and analytics, enterprise scaling and financial management, cross-functional leadership, and change management. In addition, it emphasizes ethical and scalable systems architecture, including cloud infrastructure, LTI/xAPI interoperability, and algorithmic bias mitigation, preparing graduates to design, manage, and scale innovative, secure, and responsible AI-powered learning ecosystems across universities, K-12 institutions, corporate academies, and EdTech ventures.
Designed for education leaders, EdTech professionals, AI and technology managers, learning designers, and digital transformation specialists driving innovation in education. Ideal for entrepreneurs and executives seeking to build, scale, and lead AI-powered learning platforms, educational products, and digital learning ecosystems.
What You Will Learn
Modules & Curriculum
Explore each semester to see its modules. Click a semester to open its modules, and click a module to see what you'll learn, topics covered, learning outcomes, and assessment.
Core Business Foundations 6 Required Core Business Modules | 36 ECTS (6 ECTS each)
Strategic Management in a Global Context06 ECTS
What Students Learn
Strategic management frameworks, industry competitive dynamics, global expansion strategies, digital platform monetization, and corporate governance for executive leadership.
Topics Covered
- PESTEL & Porter's Five Forces Environmental Analysis
- Resource-Based View & VRIO Core Competency Mapping
- Generic Competitive Strategies & Value Chain Optimization
- Digital Platform Monetization & Network Effects
- Global Market Entry Modes & Cross-Border Alliances
- Corporate Governance, ESG & Strategic Control Systems
Learning Outcomes
- Formulate strategic plans utilizing PESTEL and Porter's Five Forces.
- Evaluate international expansion models and cross-border alliances.
- Design digital platform strategies that capitalize on network effects.
- Lead strategic execution across global business units.
Assessment
40% Continuous Assessment (Case Audits & Strategic Analysis) | 60% Final Enterprise Strategic Blueprint (3,000 words).
Managerial Economics and Financial Management06 ECTS
What Students Learn
Microeconomic decision-making, financial statement diagnostics, capital budgeting (NPV/IRR), cost accounting, working capital optimization, and corporate valuation methods.
Topics Covered
- Microeconomic Demand Elasticity & Pricing Dynamics
- Financial Statement Auditing (Balance Sheet, Income, Cash Flow)
- Liquidity, Solvency & Profitability Ratio Diagnostics
- Capital Budgeting Frameworks (NPV, IRR, Discounted Cash Flow)
- Weighted Average Cost of Capital (WACC) & Capital Structure
- Corporate Valuation & Discounted Cash Flow Modeling
Learning Outcomes
- Apply microeconomic principles to pricing and cost optimization.
- Analyze financial statements to assess corporate solvency.
- Execute DCF and capital expenditure evaluation techniques.
- Formulate capital structure and working capital strategies.
Assessment
40% Continuous Assessment (Financial Diagnostics & Modeling Quizzes) | 60% Final Enterprise Financial Strategy Report (3,000 words).
Marketing Management and Digital Strategy06 ECTS
What Students Learn
Customer-centric marketing strategy, STP frameworks, digital performance acquisition funnels, Customer Acquisition Cost (CAC) vs. Lifetime Value (LTV) dynamics, and brand positioning.
Topics Covered
- Customer Segmentation, Targeting & Positioning (STP)
- Digital Marketing Funnels, SEO & Inbound Strategy
- Performance Marketing, Paid Search & Programmatic Media
- Marketing Automation, Lead Scoring & CRM Pipelines
- CAC vs. Customer Lifetime Value (LTV) Optimization
- Omnichannel Brand Positioning & Messaging Architecture
Learning Outcomes
- Design customer-centric marketing strategies using STP models.
- Formulate omnichannel digital marketing acquisition funnels.
- Analyze CAC and LTV to maximize marketing campaign ROI.
- Deploy data-driven growth marketing and brand strategies.
Assessment
40% Continuous Assessment (Marketing Campaign Audits) | 60% Final Strategic Digital Marketing Master Plan (3,000 words).
Organizational Behavior and Leadership06 ECTS
What Students Learn
Executive leadership psychology, team effectiveness, employee motivation, conflict negotiation, corporate culture alignment, and structured change management.
Topics Covered
- Emotional Intelligence & Transformational Leadership
- Employee Motivation Theories & High-Performance Design
- Managing Group Dynamics & Psychological Safety
- Conflict Mediation, BATNA & Strategic Negotiation
- Organizational Culture Auditing & Strategic Alignment
- Kotter's 8-Step Change Management Framework
Learning Outcomes
- Apply behavioral theories to improve employee motivation.
- Lead cross-functional teams using transformational leadership.
- Manage organizational politics and complex negotiations.
- Formulate change initiatives using structured models.
Assessment
40% Continuous Assessment (Leadership Simulations & Self-Audits) | 60% Final Executive Change Management Strategy (3,000 words).
Business Analytics and Data-Driven Decision Making06 ECTS
What Students Learn
Descriptive, predictive, and prescriptive analytics, business intelligence visual dashboards, statistical hypothesis testing, regression analysis, and data governance.
Topics Covered
- Business Intelligence Architecture & ETL Data Pipelines
- Executive Visualization Dashboards in PowerBI & Tableau
- Inferential Statistics, A/B Testing & Hypothesis Testing
- Linear & Multiple Regression Modeling for Business
- Classification Trees & Logistic Regression
- Data Governance, Ethics & GDPR Compliance
Learning Outcomes
- Interpret descriptive statistics to identify operational trends.
- Construct predictive regression models for business forecasting.
- Build executive business intelligence dashboards.
- Establish data governance frameworks within enterprises.
Assessment
40% Continuous Assessment (Dataset Analytics & Dashboard Labs) | 60% Final Business Analytics Strategy Report (3,000 words).
Operations and Supply Chain Management06 ECTS
What Students Learn
Process bottleneck analysis, Lean manufacturing, Six Sigma defect reduction, inventory optimization (EOQ), strategic sourcing, and digital supply chain logistics.
Topics Covered
- Process Capacity Analysis & Little's Law Flowcharts
- Six Sigma DMAIC Methodology & Statistical Quality Control
- Lean Operations, Kanban Systems & Waste Elimination
- Inventory Models: EOQ, Safety Stock & Reorder Points
- Strategic Procurement & Total Cost of Ownership (TCO)
- Global Logistics, Supply Chain Risk & Resilience Building
Learning Outcomes
- Analyze operational processes to identify bottlenecks.
- Apply Lean and Six Sigma principles to eliminate waste.
- Formulate inventory strategies using EOQ and JIT models.
- Architect resilient global supply chain networks.
Assessment
40% Continuous Assessment (Process Audits & Capacity Exercises) | 60% Final Operational Excellence Master Plan (3,000 words).
Semester 2 : EdTech & AI Specialization Track 5 Modules 30 ECTS (6 ECTS each)
EdTech Strategy and Business Models06 ECTS
What Students Learn
Digital transformation in education, technology stack audits, B2B SaaS vs B2G pricing, RFP procurement cycles, Total Cost of Ownership (TCO), and platform interoperability.
Topics Covered
- Global EdTech Market Dynamics Across K-12, Higher Ed & Enterprise
- Enterprise Tech Stack Audits (LMS, SIS, CRM, AI Tools)
- Business Model Canvas: B2C, B2B SaaS & B2G Tenders
- Navigating Institutional Procurement & 18-Month Sales Cycles
- Total Cost of Ownership (TCO) & Cloud Hosting Budgets
- Managing Institutional Pilot-to-Paid Conversion Funnels
Learning Outcomes
- Formulate digital transformation strategies for institutions.
- Evaluate B2C, B2B SaaS, and B2G pricing models.
- Conduct audits of enterprise technology stacks.
- Structure pilot-to-paid conversion funnels.
Assessment
40% Continuous Assessment (Tech Audits & Case Studies) | 60% Final Strategic Digital Overhaul Proposal (3,000 words).
Digital Learning Design and Pedagogy06 ECTS
What Students Learn
Learning Experience (LX) design, cognitive load theory, Bloom's Taxonomy, microlearning scaffolding, gamification, WCAG accessibility, and Universal Design for Learning (UDL).
Topics Covered
- Cognitive Science Foundations & Human Learning Memory
- Learning Experience (LX) Design Frameworks
- Managing Intrinsic, Extraneous & Germane Cognitive Load
- Aligning Digital Activities to Bloom's Taxonomy
- Microlearning Scaffolding & Knowledge Chunking
- Universal Design for Learning (UDL) & WCAG 2.1 Compliance
Learning Outcomes
- Apply cognitive load theory to reduce digital learning friction.
- Map learning content against Bloom's Taxonomy domains.
- Design accessible learning environments compliant with WCAG 2.1.
- Formulate gamification and engagement strategies.
Assessment
40% Continuous Assessment (Wireframe & Scaffolding Reviews) | 60% Final Comprehensive LX Design Portfolio (3,000 words).
EdTech Product Management06 ECTS
What Students Learn
User persona mapping, writing PRDs for machine learning features, Agile/Scrum for data science, feature prioritization (RICE), product telemetry, and reducing churn.
Topics Covered
- EdTech Product Discovery & User Needs Validation
- Designing AI UI/UX: Managing Trust & Friction
- Authoring Product Requirement Documents (PRDs) for AI
- Feature Prioritization Frameworks (RICE, Kano)
- Agile Sprint Management for Data Science Teams
- Product Telemetry Analytics: Tracking DAU/MAU & Feature Retention
Learning Outcomes
- Manage product lifecycles from discovery through release.
- Author Product Requirement Documents (PRDs) for AI features.
- Apply Agile frameworks for cross-functional data teams.
- Analyze product telemetry to optimize software usage.
Assessment
40% Continuous Assessment (PRD Workshops & Sprint Exercises) | 60% Final EdTech Product Launch Portfolio (3,000 words).
Learning Analytics and AI in Education06 ECTS
What Students Learn
Generative AI transformers, prompt engineering patterns, Retrieval-Augmented Generation (RAG), Bayesian Knowledge Tracing (BKT), Item Response Theory (IRT), and xAPI analytics.
Topics Covered
- Generative AI Transformer Architectures & LLM Mechanics
- Prompt Engineering: Chain-of-Thought & Socratic Prompting
- Retrieval-Augmented Generation (RAG) & Vector Database Indexing
- xAPI Telemetry & Predictive Attrition Analytics
- Bayesian Knowledge Tracing (BKT) & Item Response Theory (IRT)
- Fine-Tuning Open-Source LLMs for Educational Subjects
Learning Outcomes
- Construct prompt pipelines tailored to educational subjects.
- Evaluate adaptive architectures using BKT and IRT.
- Deploy xAPI standards to extract clickstream telemetry.
- Design RAG systems connecting LLMs to courseware data.
Assessment
40% Continuous Assessment (Prompt Engineering Labs & Analytics Models) | 60% Final Integrated AI Learning System Proposal (3,000 words).
EdTech Entrepreneurship and Innovation06 ECTS
What Students Learn
Lean Startup validation, low-code MVPs, pricing AI token pass-through costs, unit economics (CAC/LTV), Product-Led Growth (PLG), venture capital pitch decks, and term sheets.
Topics Covered
- Market Opportunity Sizing (TAM, SAM, SOM) in EdTech
- Rapid Low-Code/No-Code Prototyping & Lean Validation
- Pricing AI Software: Token Pass-Through Margins vs. Seats
- Unit Economics: CAC, Lifetime Value (LTV) & Churn
- Product-Led Growth (PLG) & Viral Teacher Adoption Loops
- Venture Capital Term Sheets, Valuations & Cap Tables
Learning Outcomes
- Formulate scalable EdTech venture business models.
- Structure pricing models balancing token costs with margins.
- Build financial forecasts and cap tables for pitch decks.
- Negotiate venture capital term sheets and pilot contracts.
Assessment
40% Continuous Assessment (Pitch Exercises & Unit Economics Labs) | 60% Final EdTech Venture Pitch Deck & Investment Memo (3,000 words).
Semester 3 : Applied Capstone Phase 1 Modules 24 ECTS
Applied EdTech Capstone Dissertation / Strategy Project24 ECTS
What Students Learn
Independent workplace consultancy execution, empirical research, functional AI software prototype engineering, efficacy evaluation, financial modeling, and Viva Voce defense.
Topics Covered
- Applied Research Problem Diagnostics & Methodological Design
- Systematic Literature & Software Competitor Benchmarking
- Engineering Functional AI Software Prototypes / Enterprise Strategies
- Field Telemetry Logging & Statistical Efficacy Testing
- Ethical AI Governance, FERPA/GDPR Compliance & Security
- Executive Slide Deck Presentation & Live Viva Voce Defense
Learning Outcomes
- Execute an independent project solving a complex EdTech challenge.
- Synthesize business frameworks, learning science, and AI.
- Analyze empirical data or telemetry to validate efficacy.
- Present and defend technical architecture and research live.
Assessment
20% Progress & Methodology Report | 80% Final Written Master Dissertation (12,000–15,000 words) & Live Viva Voce Defense Presentation.
Program Structure
| Component | ECTS | Purpose |
|---|---|---|
| Core Business Foundations | 36 ECTS (3 ECTS each) | 6 Required Core Business Modules |
| EdTech & AI Specialization Track | 30 ECTS (6 ECTS each) | 5 Advanced module in an industry-specific domain |
| Applied Capstone Phase | 24 ECTS (24 ECTS total) | Applied EdTech Capstone Dissertation / Strategy Project |
| Total Program Requirement | 90 | Complete Master of Business Administration (MBA) in EdTech and AI |
Fee Structure
| Fee | Amount |
|---|---|
| Application Fee | $100 |
| Registration Fee | $250 |
| Examination Fee | $150 |
| Materials & Resources | $100 |
| Illustrative First-Year Total | $5,100 |
Payment Options
- Full payment
- Semester-wise payment
- Monthly installments
- Employer-sponsored payment plans
Demo figures: replace with your official fee schedule.
Admission Requirements
Academic Qualification
Bachelor’s degree (180 ECTS / 16 years of education equivalent) from an accredited higher education institution.
Professional Experience
Minimum of 2 years of relevant professional experience in education, software engineering, product management, corporate training, or technology consultancy.
Language Proficiency
Demonstrated English language proficiency (IELTS 6.5, TOEFL 80, or equivalent professional/academic background).
Admission Process
Evaluation of professional curriculum vitae, academic transcripts, statement of purpose, and an executive admissions interview.
RPL Principles (Recognition of Prior Learning)
Maximum RPL Credit Transfer: Up to 30 ECTS (33.3% maximum credit cap). Minimum Completion Requirement: A minimum of 60 ECTS must be completed through GenevaTech Business School (GTBS). Applied Areas: Prior formal postgraduate qualifications or documented senior leadership experience can be evaluated for Term 1 Core Module waivers upon portfolio submission.
Frequently Asked Questions
What is GenevaTech Business School (GTBS), and how is this degree recognized?
GenevaTech Business School (GTBS) is a higher education institution headquartered in Switzerland, specializing in European-standard business and technology education. This MBA program is structured under the European Credit Transfer and Accumulation System (ECTS) carrying 90 ECTS credits (180 UK credits / EQF Level 7). This framework ensures transparency, international mobility, and credit transferability across European and global academic systems.
How does the 90 ECTS GTBS structure differ from traditional 60 ECTS MBA programs?
While 60 ECTS programs focus on abbreviated core topics, the GTBS 90 ECTS curriculum provides a broader, executive-grade experience. It comprises 6 Core Business Administration modules (36 ECTS) covering corporate strategy, finance, operations, and leadership; 5 specialized EdTech & AI modules (30 ECTS) covering learning analytics, product management, and prompt engineering; and a comprehensive 24 ECTS Capstone Dissertation.
What is the Recognition of Prior Learning (RPL) policy, and can I receive module waivers?
GTBS operates a structured Recognition of Prior Professional Learning (RPL) framework. Qualified executive students with prior accredited postgraduate coursework or verified senior management experience may apply for credit exemptions up to a maximum cap of 30 ECTS (33.3% of the program). However, all candidates must complete a minimum of 60 ECTS directly through GTBS, including the final 24 ECTS Capstone Project.
Do I need computer science or software programming experience to succeed?
No prior software coding experience is required. The curriculum focuses on AI Product Management, Executive Strategy, Prompt Engineering, System Architecture, and Learning Experience Design rather than writing raw code. Where technical tools are introduced, low-code/no-code platforms, API integrations, and pre-built prompt frameworks are taught step-by-step.
How is the 100% online learning delivery structured?
The program is delivered asynchronously through the GTBS Digital Portal, allowing working professionals to study on their own schedule. Modules feature recorded video lectures, interactive case studies, downloadable readings, prompt engineering labs, and discussion forums, supplemented by periodic synchronous masterclasses and virtual faculty office hours.
How are student assignments assessed throughout the program?
There are no traditional written invigilated exams. Courses are evaluated via 40% continuous assessment (case study analyses, prompt lab exercises, Product Requirement Documents, financial models) and a 60% term project (enterprise strategy plans, compliance audits, pitch decks). Term 3 is evaluated based on the written Master Capstone Dissertation (12,000–15,000 words) and a live online Viva Voce defense before a faculty panel.
How are AI compute costs and API access managed during practical assignments?
Students are taught cost-effective, scalable AI integration techniques. Continuous exercises utilize accessible cloud APIs (such as OpenAI, Anthropic, or Hugging Face) and open-source models (such as Llama or Mistral). Techniques for optimizing API token consumption and managing compute pass-through costs are integrated directly into the product and finance courses.
What career leadership outcomes does this MBA prepare me for?
Graduates are prepared for executive positions including Chief Learning Officer (CLO), Head of AI Product, VP of Educational Technology, Director of Learning Experience (LX) Design, EdTech Startup Founder/CEO, Corporate University Director, and Academic Innovation Director across higher education, K-12 systems, EdTech SaaS enterprises, and management consultancies.
What is expected for the Term 3 Capstone Project?
In Term 3, students complete a 24 ECTS Applied Capstone Dissertation (12,000–15,000 words) focusing on a real-world workplace challenge or market opportunity. Deliverables include either a functional software prototype, a corporate transformation plan, or an empirical research trial, followed by a live virtual Viva Voce defense before an executive committee.
How does the program address student data privacy and ethical AI regulations?
Ethics and legal compliance are core components of the GTBS curriculum. Students complete dedicated coursework covering student data privacy regulations (FERPA, COPPA, GDPR), the European Union AI Act, algorithmic bias detection, ethical remote proctoring guardrails, and explainable AI (XAI) to ensure all platforms they architect meet global compliance standards.