Course Catalogue

Computer Science and Mathematics

The course provides students with a detailed knowledge about data management tools and techniques. It covers data acquisition, accessing, storing, transferring, cleaning, visualizing, and data preparation for analysis. The course covers topics of information retrieval, entity-relationship model, relational algebra, indexing, query optimization, normal forms, tuning, security, and data analytics skills in both relational and non-relational environments of big data. The course emphasizes on a project work that involves modern relational DBMS and NoSQL environments.

Outline Syllabus:Introduction to Big Data Analytics Basic Concepts of Data Management Tools and Techniques Modelling Concepts (relational algebra, entity-relationship model, normal forms) Advanced Topics (indexing, query optimization, tuning, security) Data Analytics Lifecycle Analytical Methods Big Data Tools

Additional Information:The module contributes to the master’s aim to equip the student with the required abilities and skills to perform data science on real-world applications.