This programme introduces students to the core concepts and practical applications of machine learning. Starting with Python programming fundamentals, learners progress into key machine learning techniques such as regression, classification, clustering, and neural networks.
The curriculum also covers advanced topics including model evaluation, ensemble methods, and machine learning operations in cloud environments. This specialisation equips students with the technical skills required for careers in AI, data science, and advanced analytics, and serves as a strong foundation for further study in emerging technologies.
Python Programming Fundamentals
Introduction to Machine Learning
Regression and Classification Models
Neural Networks and Deep Learning
Machine Learning Model Training and Evaluation
KNN, Decision Trees and SVM
Ensemble Learning Methods
Clustering Techniques
Machine Learning in the Cloud (MLaaS)
Machine Learning Operations (MLOps)
Apply machine learning techniques to analyse data, build predictive models, and solve real-world problems using modern AI tools.
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Choosing the right academic pathway can be challenging, and our team is here to support you at every step.
Book a consultation with one of our academic advisors to discuss your study options, career goals, and the most suitable programmes available at Metropolitan University.
During the session, we will guide you through programme structures, entry requirements, progression opportunities, and the application process to help you make an informed decision about your future.
Metropolitan University is committed to delivering structured, flexible, and globally aligned education.
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