Machine learning is one of the fastest-growing technologies driving digital transformation across industries. This programme helps professionals understand how data science and AI can improve business performance, automate processes, and support evidence-based decision-making.

Participants will learn to:

• Understand the core principles of machine learning and data science.
• Learn the differences between supervised and unsupervised learning.
• Build and evaluate machine learning models.
• Transform raw business data into actionable insights.
• Apply machine learning techniques to real-world business challenges.
• Understand AI-driven decision-making and predictive analytics.
• Explore applications in image recognition, cybersecurity, healthcare, fraud detection, and automation.
• Develop practical skills through case studies and hands-on learning.

Subjects / Topics Offered (Programme Structure)

The programme covers the following areas:

• Introduction to Machine Learning
• Fundamentals of Data Science
• Data Analytics Principles
• Structured and Unstructured Data Processing
• Supervised Learning
• Unsupervised Learning
• Machine Learning Model Building
• Model Evaluation Techniques
• Predictive Analytics
• Machine Learning Applications in Business
• Artificial Intelligence Foundations
• Image Recognition
• Healthcare Applications
• Cybersecurity Applications
• Fraud Detection
• Business Case Studies
• Hands-on Machine Learning Exercises.

Disciplines / Specialisations Offered

The programme integrates knowledge from multiple disciplines, including:

• Machine Learning
• Data Science
• Artificial Intelligence (AI)
• Data Analytics
• Business Intelligence
• Big Data
• Predictive Analytics
• Cybersecurity
• Digital Transformation
• Innovation Management.

Programme Highlights

• Intensive 3-day executive workshop
• Award of 2 ECTS Credits
• Flexible online and onsite delivery
• Qualiopi-certified professional training
• Hands-on machine learning exercises
• Real-world business case studies
• Focus on AI, predictive analytics, and data-driven decision-making
• Industry-oriented curriculum
• Taught by expert faculty in AI, cybersecurity, and data science
• Immediate workplace application of machine learning concepts.

Career Outcomes

After completing the programme, participants can strengthen their expertise for roles such as:

• Machine Learning Engineer
• Data Scientist
• Data Analyst
• AI Engineer
• Business Intelligence Analyst
• Big Data Engineer
• Predictive Analytics Specialist
• Data Science Consultant
• Technology Consultant
• AI Product Manager
• Innovation Manager

Latest Updates

Recent programme highlights include:

• 3-day executive workshop.
• 2 ECTS Credits awarded upon successful completion.
• Available in online and onsite formats.
• Qualiopi-certified executive education programme.
• Updated curriculum covering supervised and unsupervised learning, predictive analytics, AI foundations, fraud detection, image recognition, healthcare applications, cybersecurity, and business data science.

Special Requirements

Applicants should note the following:

• Submission of a completed application.
• Required supporting documents.
• Admission interview (approximately 15 minutes).
• Payment of application, registration, or tuition fees upon acceptance.
• The programme is primarily intended for professionals and learners interested in machine learning, AI, big data, and data science applications.