Machine Learning and Data Science Concentration for Software Engineering, MSSWE

About the Concentration

Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on developing algorithms and models that allow computers to learn from data and make decisions or predictions without being explicitly programmed for every specific task. In simpler terms, it’s a way for machines to improve their performance on a task by learning from experience, rather than following rigid instructions.

Data science is an interdisciplinary field that combines statistical methods, computer science, domain knowledge, and data analysis techniques to extract meaningful insights, patterns, and knowledge from structured and unstructured data. The goal of data science is to turn raw data into actionable insights that can guide decision-making, improve business processes, or solve complex problems.

Concentration Requirements

9 Credits Required

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