Learner Support - M.Sc. in Data Science

This Learner Support - M.Sc. in Data Science platform is where your questions regarding general administration matters and examinations are sorted out.

EEZ9258 Statistics and Mathematical Modelling

EEZ9258 Statistics and Mathematical Modelling course is offered by the Department of Electrical and Computer Engineering -Faculty of Engineering Technology for te M. Sc in Data Science programme. This is a level nine course which carries two (02) credits..

EEX9451 Data Science Concepts and Machine Learning

EEX9451 - Data Science Concepts and Machine Learning, a course meticulously designed to provide a comprehensive and hands-on exploration of the theoretical foundations and practical applications of modern data analytics and machine learning methodologies.


EEX9232 Project Management

This course will equip you with the essential tools and techniques for managing projects effectively, particularly in the context of data science. Throughout this course, we will explore methodologies like Agile and Scrum, as well as best practices in stakeholder management, communication, and reporting.

EEX9453 Big Data and Data Mining

EEX9453 - "Big Data and Data Mining". 

This course is designed to introduce you to the fundamentals of big data analysis and data mining techniques.
Throughout this course, you will explore key topics such as big data storage, processing, monitoring, data mining techniques, OLAP, machine learning approaches, and emerging technologies in data mining.

EEX9236 Python for Machine Learning

EEX9236 Python for Machine Learning - Master of Science in Data Science program. This is a compulsory course designed to equip you with the essential knowledge and hands-on skills to leverage Python tools and frameworks for problem-solving in machine learning.

EEX9233 Research Methodology

This is a compulsory course designed to equip you with the fundamental principles and practical skills required to design, conduct, and evaluate research effectively. Through this course, you will gain insights into research methodologies, data collection techniques, ethical considerations, and academic writing, preparing you for high-quality research in your field.