Data Science
Harness machine learning and AI to solve complex problems. Learn predictive modelling, deep learning, and advanced analytics.
This 6-month programme is designed for those who want to push the boundaries of what data can do. Classes meet twice a week for one hour each session. You will learn the mathematical foundations of machine learning, build predictive models, and explore deep learning and natural language processing. With a strong emphasis on practical application, you will work on real-world projects that demonstrate the power of data science to transform businesses and industries.
Curriculum
Introduction to Data Science
The data science lifecycle and methodology
Python & Mathematics
Linear algebra, calculus, and probability for ML
Exploratory Data Analysis
Statistical analysis and data exploration techniques
Machine Learning Foundations
Supervised learning: regression and classification
Advanced Machine Learning
Ensemble methods, SVMs, and unsupervised learning
Deep Learning
Neural networks, CNNs, and TensorFlow/PyTorch
Natural Language Processing
Text processing, sentiment analysis, and transformers
Model Deployment
MLOps, model serving, and production systems
Ethics in AI
Bias, fairness, and responsible AI development
Capstone Project
End-to-end data science project with ML deployment