COURSE CURRICULUM

The curriculum includes core modules such as Foundations of Data Science, Machine Learning, Artificial Intelligence Techniques, Big Data Analytics, and Research Methods. Students will learn programming languages like Python and R, data visualization tools, and statistical methods. Advanced topics cover deep learning, natural language processing, and computer vision. The program culminates in a dissertation or capstone project where students apply their skills to a real-world problem. Elective options may include cybersecurity, business intelligence, or ethical AI. Practical sessions involve hands-on labs, group work, and industry collaborations. Assessment methods include exams, assignments, presentations, and the final project. The structure ensures a balance between theory and practice, with an emphasis on emerging technologies and their applications.