Master Program in Advanced Data Science & Machine Learning

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Become industry-ready with Statistics, Supervised & Unsupervised ML, Feature Engineering, Model Evaluation, and Deployments. Build portfolio projects and earn a QR-verified certificate.

Curriculum includes Python (Pandas/NumPy), EDA & Data Visualization, Scikit-learn, XGBoost, basic Deep Learning, ML pipelines, MLOps fundamentals, and CI/CD best practices.

• 80% practical labs with mentor feedback
• End-to-end ML projects & reproducible pipelines
• Model evaluation, tracking, and reporting
• CI/CD for ML: basics of containers & deployment