Postgraduate Diploma in Business and Artificial Intelligence (AI) (60 ECTS)

Postgraduate Diploma in Business and Artificial Intelligence (AI)

MQF Level 7

Date – September 2025

Duration – 12 Months

Accredited – Yes

Price – Euro 8,000

Category – Level 7

Delivery Mode: English
Accredited by: MFHEA
License Number: 2022-006
Target Audience: 18 Years and Over

Course Description

The Post Graduate Diploma in Business and AI offers a cutting-edge curriculum designed to equip students with the knowledge and skills necessary to thrive in today’s complex, technology-driven business world. This programme integrates advanced business strategies with the latest innovations in Artificial Intelligence (AI), providing students with a comprehensive education that addresses both traditional business functions and emerging digital trends.

Entry Requirements

1. 1. 1. Academic Qualifications
    For the Specialized MBA in AI:
    
    Candidates must have a degree in Computer Science, Data Science, Business Analytics, or other relevant technology-related fields, OR substantial professional experience in AI or digital transformation, even if their degree is in a different field.
    1. Professional Experience
    - Minimum Work Experience:
    - For the Specialized MBA in AI, candidates should ideally have experience working in roles related to technology, data analytics, AI, or digital transformation.
    1. Language Proficiency
    - Since the MBA programme is delivered in English, applicants must demonstrate a high level of English proficiency.
      - Non-native English speakers must provide evidence of proficiency through recognized English language tests (e.g., IELTS, TOEFL). The minimum required score is:
        
        IELTS: 6.5 overall, with no band lower than 6.0.
        
        TOEFL iBT: 90 or above.
      - Exemptions from this requirement may be granted to students who have previously completed an academic programme in English.
    1. Recognition of Prior Learning (RPL)
    - The programme recognizes the importance of prior learning and professional experience in enhancing the learning experience. Applicants who do not meet the formal entry requirements but have significant professional experience may apply for entry via Recognition of Prior Learning (RPL).
      - Candidates seeking RPL must provide evidence of their learning through work experience, professional certifications, or training. This could include:
        
        Detailed CV outlining professional experience.
        
        Professional development courses or certifications.
        
        Letters of recommendation from employers verifying the relevance of their work experience.
    Additional Considerations
    - Interview Process:
      - Some candidates may be invited to an interview to further assess their suitability for the programme. This interview will evaluate their leadership potential, motivation, and professional background.

Audience

Technology Leaders and AI Professionals
Business Leaders in Technology-Driven Industries
Entrepreneurs in AI-Driven Ventures
Marketing and Consumer Insights Professionals
Ethical AI Advocates
Business Strategy Consultants and Analysts in AI
Professionals Interested in AI-Powered Marketing

Career Paths

Occupations for which this programme prepares students:

Business Manager/Executive
Sustainability Manager/ESG Consultant
Digital Transformation Manager
Financial Analyst/Risk Manager
AI Strategy Manager/AI Consultant
Marketing Manager (AI-driven)
Ethics and Governance Officer (AI)
Research Analyst/Consultant

MODULES

TBA

Assessment

Assignment-Based Assessment Approach (100%)

All modules in the programme will be assessed through 100% assignment-based coursework, with each assignment comprising 5,000 to 7,000 words. This approach ensures consistency across the programme while accommodating students with different learning styles and abilities. Assignments will require students to demonstrate critical thinking, theoretical understanding, and the ability to apply concepts to practical scenarios.

Assignment Guidelines:

Students are required to submit a written assignment that integrates theory, research, and practical application. The assignment will focus on key topics within each module, allowing for in-depth exploration.
Each assignment will be structured to include critical analysis, practical application of theoretical frameworks, and evidence-based conclusions.
Assignments must be properly formatted, following academic guidelines for referencing, citations, and structure.

Percentage Range	Grade	Description
85-100%	A	Excellent performance, demonstrating comprehensive understanding, originality, and critical thinking.
70-84%	B	Very good performance, with strong analysis and application of concepts.
55-69%	C	Satisfactory performance, demonstrating a clear understanding of the material with room for improvement in depth or detail.
50-54%	D	Pass, with basic understanding and application of concepts but limited depth and insight.
Below 50%	F	Fail, with insufficient understanding or failure to meet the assignment requirements.

Intake dates

September 2025.

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