AI MBA

Structured as a two-year program composed of four semesters, the curriculum is delivered through three complementary MBA tracks, each focusing on a distinct but aligned dimension of modern digital intelligence.

All tracks share a common academic structure, learning intensity, and progression level, allowing institutions to deploy them independently or in parallel.

Three MBA Tracks, One Coherent Framework

Institutions may offer one or more of the following specialization tracks:

• MBA Track 1: Business Intelligence & Data Governance
  Focused on data-driven decision-making, analytics, regulatory frameworks, and enterprise data foundations.

• MBA Track 2: Big Data & Digital Venture Creation
  Focused on data infrastructure, value creation, data monetization, and applied digital entrepreneurship.

• MBA Track 3: AI, Digital Strategy & Enterprise Deployment
  Focused on digital transformation, generative AI, agentic systems, and real-world enterprise AI deployment.

Each track follows a four-semester progression, with each semester delivered as a standalone 36-hour course.

Program Overview Table

Modular MBA Program Structure

Three Specialized Tracks | Four Semesters Each | Interoperable Curriculum

Common Entry Semester

Semester 1

MBA Track 1
Business Intelligence &
Data Governance MBA Track 2
Big Data & Digital
Venture Creation MBA Track 3
AI, Digital Strategy
& Enterprise Deployment ↓ ↓ ↓ Semester 1 Intro to Business Intelligence
Big Data Infrastructure
Digital Transformation ↓ ↓ ↓ Semester 2 Data Mining & Decision Making
Big Data Monetization
AI Strategies & Product Design ↓ ↓ ↓ Semester 3 Data Management & GDPR
Open-Source Intelligence
LLMs & Agentic AI ↓ ↓ ↓

Semester 4 (Capstone Project)

Delivered in Parallel or Individually

↓ ↓ ↓ Semester 4 Data & AI Infrastructure
Coming Soon Digital Startup Project
Coming Soon

Corporate AI Deployment

✓

Single Track

⚭

Combine Tracks

≡

Elective Semesters

Designed for Flexible Academic Deployment

Corresponding semesters across all three tracks are deliberately aligned in duration, level, and workload. This allows institutions to adopt the program with maximum flexibility while preserving academic coherence.

In practice, schools may:

• Run Semester 1 of all three MBA tracks simultaneously within the same academic term

• Offer one complete specialization by delivering all four semesters of a single track

• Combine two MBA tracks without overlap or prerequisite conflicts

• Integrate individual semesters as electives within an existing MBA or MSc program

• Introduce AI and data topics progressively, without requiring technical or programming prerequisites

Each semester is self-contained, business-oriented, and designed to integrate smoothly into existing academic schedules.

The resulting success of our modules created and conducted by the experienced faculty at Linguistic Communication amongst students and on-going professionals alike has been prompting leading business schools to adopt our courses and convert them into certification programs.

Click below to see our courses under IT / PROJECT MANAGEMENT MBA Section:

OOS_010: IT Outsourcing

DIT_010: Digital Transformation
MGT-40/ Enterprise Strategy
TID-010 Introduction to Business Intelligence
TID-020/ Introduction to Big Data architecture
TID-030/ Data Mining Workshop (R or Python)
TID-40/ Big Data Monetisation
AGL-130/ Design Thinking
INF-070/ Cybersecurity & Risk Management

MGT-10 Introduction to Economics and Business Models
MGT-20 Introduction to Management and Organisations
MGT-30 Organisational Analysis
SPE-130 Cloud Computing
SPE-140 IT & Digital Business Models
AGL-30 Lean Startup and Business Model Canvas

Click below to see our courses under AI MBA Section:

MBA/03: AI MBA

Target Audience

• MBA and MSc students in business, management, and strategy
  seeking to build AI and data literacy relevant to modern organizations.

• Mid-career professionals and managers
  responsible for decision-making, digital initiatives, or transformation projects.

• Consultants and project managers
  working on data-driven, AI-enabled, or digital transformation engagements.

• Entrepreneurs and innovation leaders
  aiming to leverage data, AI, and digital platforms for new ventures or growth initiatives.

• Professionals transitioning into AI-adjacent roles
  who need to understand AI systems, governance, and business impact rather than technical implementation.

Class reference: AI MBA
Form Updated on: 22/01/2026 (Version 1)
Last Modified on: 22/01/2026

Program Information:
This program is continuously updated to reflect the latest AI tools, business applications, and regulatory frameworks.

Brief pédagogique en français

AI MBA est présenté ici en version synthétique française afin que les équipes pédagogiques puissent évaluer rapidement l'intérêt du module.

Le module s'inscrit dans la famille Analytics et intelligence artificielle. Il peut être adapté au calendrier de l'école, au niveau Tous niveaux, au volume horaire 144 semaines et aux modalités d'évaluation prévues.

Objectif d'intervention

Ce module vise à relier les outils data, IA et automatisation à des usages professionnels concrets.

Livrables et activités possibles

• cas d'usage, prompts, scénarios d'automatisation ou analyses data
• évaluation critique des résultats, limites et risques
• communication claire des choix techniques et business

Adaptation école

LC peut ajuster le déroulé, la langue d'enseignement, les supports, les exercices et les critères d'évaluation selon la promotion, le diplôme, le niveau d'autonomie attendu et les contraintes de planning.

Pour une version détaillée du syllabus en français, LC confirme le programme final après cadrage du niveau, des heures, du calendrier et des livrables attendus.