COURSE CURRICULUM

The curriculum includes core modules such as Machine Learning and Predictive Analytics, Big Data, Applied Data Science, and Research Methods. Students undertake a substantial dissertation or project in the final stage, applying learned concepts to a real-world data challenge. Optional modules may cover topics like Artificial Intelligence, Statistical Modeling, and Project Management. The program emphasizes hands-on learning through labs, workshops, and group projects. Assessment methods include exams, coursework, presentations, and the final project. The structure is designed to build foundational skills in the first semester and advance to specialized topics in the second, culminating in independent research.