Students will be able to use mathematical techniques to collect, process, analyze, and interpret complex datasets for informed decision-making.
The ability to interpret the fundamental concepts and methodology of data analytics systems like machine learning, deep learning, and artificial intelligence models to solve real-world problems across diverse domains.
The ability to design, build, and manage scalable data pipelines and architectures using modern big data frameworks and cloud platforms for efficient data storage and retrieval. Students will grasp the software development lifecycle and methodologies of software systems. Developing innovative data-driven solutions, and integrating domain knowledge with data science methodologies for interdisciplinary applications.
