COURSE CURRICULUM

The Post-Degree Diploma in Data Analytics provides a comprehensive curriculum that covers the entire lifecycle of the data analytics process, from data acquisition to analysis and the presentation of results. This program emphasizes hands-on, lab-oriented learning where students work with real-life data sets from various industries, including telecommunications, finance, and health care, often in collaboration with industry partners. Students develop practical skills in cleaning, transforming, and analyzing both structured and unstructured data using industry-standard software and applications. The coursework includes Professional Business Practice and Project Management to prepare students for the professional environment, alongside Communications for Technical Professions to enhance their ability to present complex findings effectively. Core technical courses such as Computing for Data Analytics, Transformations for Data Analytics, Visualization for Data Analytics, and Data Mining for Data Analytics build essential analytical and computational skills. Statistical analysis is developed through courses like Data Analysis and Statistical Inference, Predictive Analytics for Quantitative and Qualitative Data, and Dimension Reduction & Classification I. The program also includes Organizations and Change to provide insights into the business environment. Students culminate their learning experience with a Capstone Project that requires them to apply their skills to solve real-world problems. Additionally, the program offers a Work Experience Term, allowing students to gain valuable industry experience. A specialized Mathematics for Data Analytics course supports the mathematical foundation necessary for the field. Overall, this program equips graduates with the expertise and practical experience to succeed as data analysts in a variety of professional settings.