Master In Digital Business / Digital Transformation (MDB)

Master In Digital Business / Digital Transformation (MDB)

Award: Master in Digital Business / Digital Transformation
Duration: 6–9 Months (Full-Time)
Total Credits: 30–33 (Equivalent to 90 ECTS)

Programme Overview

The Master in Digital Business / Digital Transformation (MDB) is designed for professionals and innovators aiming to lead the digital evolution of modern organizations. The programme blends technology, business strategy, and innovation to prepare graduates for leadership roles in digital transformation, artificial intelligence integration, and e-commerce management. Learners develop practical capabilities in data analytics, cybersecurity, and digital strategy execution.

Programme Aims & Learning Objectives
  1. Equip professionals with the skills to plan and manage enterprise-level digital transformation initiatives.
  2. Develop knowledge in AI, big data, and e-commerce systems to enhance organizational performance.
  3. Strengthen decision-making through business intelligence, data-driven analytics, and governance frameworks.
  4. Foster leadership for innovation, agility, and ethical digital transformation.
Category:

Description

Programme Pathway / Structure

The programme integrates core technology and strategy modules (24 credits) with a capstone project (6–9 credits) that applies digital transformation concepts to real-world business cases.

Code Course Title Credits Content Summary
DBT 701 Digital Transformation & Strategy 3 Frameworks and models for leading enterprise digital change and innovation strategy.
DBT 702 Big Data & Business Intelligence 3 Techniques for data collection, analytics, and predictive decision-making.
DBT 703 E-Commerce Platforms & UX Design 3 Design and management of e-commerce ecosystems and user experience optimization.
DBT 704 Artificial Intelligence in Business 3 Application of AI, automation, and machine learning for business process optimization.
DBT 705 Cybersecurity & Data Governance 3 Risk assessment, digital compliance, and ethical management of data systems.
DBT 790 Research & Analytics Methods 3 Tools for data analytics, digital research design, and statistical evaluation.
DBT 799 Capstone Digital Innovation Project 6–9 Applied project addressing digital innovation challenges; includes presentation and implementation plan.
Credit Distribution Summary
Component Credits
Core & Elective Modules 21–24
Research & Analytics Methods 3
Capstone Project 6–9
Total 30–33
Delivery & Schedule
  • Full-Time Mode: 6–9 months (2 academic terms)
  • Format: Blended (on-campus + online hybrid learning)
  • Learning Methods: Digital simulations, case studies, AI-driven projects, and practical workshops
Term Courses Credits
Term 1 (Months 1–4) DBT 701, DBT 702, DBT 703, DBT 704 12
Term 2 (Months 5–9) DBT 705, DBT 790, DBT 799 (Capstone Project) 18–21
Entry Requirements
  • Honours Bachelor’s degree (minimum GPA 3.0/4.0) in IT, Business, Engineering, or related discipline.
  • Applicants with experience in digital innovation, IT management, or e-commerce are encouraged.
  • English Proficiency: IELTS 6.5 (no band below 6.0), TOEFL iBT 90+, or an equivalent proficiency examination.
  • Required Documents: Statement of Purpose, Academic Transcripts, Two References, and CV.
Key Features / Advantages
  • Accelerated 6–9 month completion designed for professionals in technology and business transformation.
  • Integration of AI, big data, and cybersecurity principles into business management.
  • Capstone digital innovation project emphasizing real-world applications.
  • Alignment with leading frameworks such as ISO 27001, COBIT, and GDPR compliance.
  • Career pathways include Digital Transformation Manager, Business Intelligence Analyst, E-Commerce Director, or AI Strategy Consultant.

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