Jul 07, 2022  
2020-2021 UMass Dartmouth Undergraduate Catalog 
    
2020-2021 UMass Dartmouth Undergraduate Catalog [Archived Catalog]

Data Science Minor


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The minor in data science is designed for STEM-focused students looking to broaden their skillset with data science tools and techniques in data visualization, statistical analysis, and programming. Students can explore a variety of topics in their upper-level courses including machine learning, high-performance computing, and building predictive models.

Considering the growing importance of data science skills for the current and future workforce, a data science minor will complement a variety of majors including crime and justice, political science, business, psychology, biology, and physics, to name a few. Engineers of all types are also well suited for the data science minor, and most of our graduate students come from a background in mathematics, engineering, or physics.

In successfully completing the data science minor, students will learn to:

  • understand and apply contemporary techniques for managing, mining, and analyzing big data across multiple disciplines
  • use computation and computational thinking to gain new knowledge and to solve real-world problems of high complexity
  • communicate their ideas and findings persuasively in written, oral, and visual form and to work in a diverse team environment
  • be well prepared for graduate school or employment by having a unique skillset that differentiates them in a job applicant pool

Core Course Requirements


You must earn a minimum grade of ‘C’ in each course to meet the requirement.

Electives - Three Courses Required


Choose any three 300+ level courses approved for the Data Science major. Other courses may be permissible with prior approval of the Data Science program directors. You must earn a minimum grade of ‘C’ in each course to meet the requirement.

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