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    Apr 13, 2024  
2022-2023 Undergraduate Bulletin 
    
2022-2023 Undergraduate Bulletin [Archived Bulletin]

Computational Data Science Major (BS)


Data science is the scholarly discipline that focuses on how to connect data to decision making. This involves collecting, managing, analyzing, visualizing, and reporting data for use in decision making. From public policy to scientific exploration or managerial action, a spectrum of skills and knowledge is needed to convert data to relevant information. The computational data science program helps students develop the skills necessary to identify, generate or track down, store, and manage informative data from varied sources; analyze that data or use that data to build machine learning models; and communicate their results.

With the Hamline computational data science program, you’ll learn the skills required to collect, work with, and analyze large data sets. You will also develop skills needed to conduct analysis of data in the area of your choice, such as sciences, business, chemistry, digital media arts, English, environmental studies, history, or others. Through the program, you will apply your data analysis skills to develop data-driven solutions to problems in the area of study you are interested in.

This interdisciplinary major is comprised of five core courses in Computational Data Science, four courses from Mathematics and QMBE, and three disciplinary courses that meet requirements from any other major or minor. The three disciplinary courses ensure that students have contextual knowledge in a content area in which they will apply the computational and data analysis skills that they will develop in the program.

 

Major Requirements


Disciplinary Courses:


At least three additional courses that count toward another major or minor at Hamline are required. The courses have to be distinct from the courses listed above and at least one of these courses must be at the 3000 level or above. The courses should be building up students’ understanding of a particular field and must be approved by the director of the Computational Data Science program. The students are encouraged to discuss their interests and potential courses with their advisors and the director of the Computational Data Science program.