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Master of Science in Data Science

Master of Science in Data Science

The Master of Science in Data Science is a comprehensive program designed to immerse students in cutting-edge technology and methodology in advanced data science applications. Data science skills, such as data wrangling, machine learning, coding, and data visualizations, are increasingly necessary across disciplines including technology, science, finance, marketing, healthcare, and social sciences. This program equips graduates with the skills demanded by the fast-evolving landscape of the industry, including artificial intelligence, big data analytics, high-performance computing, and cloud computing.


Students who complete the Master of Science in Data Science will be able to:

  1. Use mathematical theory to design statistical models and estimate coefficients and uncertainty

  2. Perform the six steps of data wrangling: discovery, structuring, cleaning, enriching, validating, and publishing

  3. Write code in a programming language prominent in the field of data science

  4. Distinguish learning problems, select machine learning and deep learning models, and implement a training algorithm

  5. Create and present effective data visualizations

  6. Apply a framework to evaluate ethical issues in artificial intelligence and data science