Overview

Students develop proficiency in algorithms, statistics, and AI frameworks through hands-on labs and capstone collaboration with industry partners.

What You'll Learn

Machine Learning & Deep Learning

Build predictive models using neural networks.

Big Data Management

Work with Hadoop, Spark, and cloud platforms.

AI Ethics & Governance

Tackle data privacy, bias, and responsible AI deployment.

Data Visualization

Communicate insights using best-practice techniques.

Applied AI Projects

Solve real challenges in healthcare, finance, or urban planning.

Program Structure

Core modules include:

• Statistical Foundations for Data Science

• Computational Machine Learning

• Scalable Data Systems

• Human-AI Interaction & Ethics

• Capstone Project in Applied AI

Assessment and Evaluation

• Code-based assignments and model development

• A team-driven capstone project assessed on innovation and implementation

• A reflective research report integrating theory and practice