The Master of Science in Big Data Analytics program teaches students how to manage and analyze large volumes of structured, semi-structured, and unstructured data. The course covers key principles of big data processing, distributed storage, NoSQL models, data pipelining, machine learning algorithms, and natural language processing. It emphasizes practical learning through case studies and final projects using Apache software and proprietary technologies. The program is designed for professionals from software engineering, business with computer science knowledge, and related fields, aiming to qualify for roles such as Big Data Engineer, Architect, or Analyst.
Modules
- environment and applications
- data engineering
- visualization used for web and text mining
- descriptive statistics
- machine learning techniques
- Big Data Final Project