Leading to a Bachelor of Science Degree in Data Science

The Bachelor of Science in Data Science program provides students with a foundation in the fields of statistics and computer science in addition to data-insightful topics such as machine learning, data mining, and data visualization. The curriculum provides hands-on training in data science software for the data analysis lifecycle, including data acquisition, data management, data analysis, model development and deployment, and visualization. Throughout the curriculum, students are made aware of the ethical implications of the elements of the data analysis lifecycle. Students acquire the skillset to be competitive in the job market and apply these skills directly in the work environment through two required co-op work semesters.

Program Educational Objectives

• Apply Mathematical concepts to model real-world problems, implement solutions, and validate outcomes
• Effectively use data science software for data analysis lifecycle: data acquisition, data management, data preparation and integration, data analysis, model development and deployment, and visualization
• Demonstrate competencies in statistical analysis and fundamental computational concepts
• Communicate data findings effectively to an audience, in oral, visual, and/or written formats
• Be aware of the ethical consequences of data-informed decision-making

Three Year Program

Total Required Credits: 120

ENGL/HSS Note

Students are required to complete:

• At least one course in Humanities: CSAS, HSSI, HIST, HUMN, LITR and PHIL
• At least one course in the Social Sciences: CSAS, HSSI, COMM, ECON, ENVM, POLS, PSYC and SOCL
• The remaining course from either the Humanities or Social Sciences category. 

Students with a three English course sequence may use the third English course to satisfy a Humanities requirement.

A minimum of 20 credits total, including English, humanities, and social science credit, is required to complete the humanities and social sciences graduation requirement.

At least one of the HSS electives must be an Ethics course.

Math Placement may alter the course schedule above. 

Data Science Electives

A total of 16 semester credit hours of technical electives must be taken as a part of the program. Students may choose, after consultation with their primary advisor, among the electives offered each semester. Technical elective courses include the following courses. The school may add to the list of available electives on a semester by semester basis.

Four Year Program

Total Required Credits: 120

ENGL/HSS Note

Students are required to complete:

• At least one course in Humanities: CSAS, HSSI, HIST, HUMN, LITR and PHIL
• At least one course in the Social Sciences: CSAS, HSSI, COMM, ECON, ENVM, POLS, PSYC and SOCL
• The remaining course from either the Humanities or Social Sciences category. 

Students with a three English course sequence may use the third English course to satisfy a Humanities requirement.

A minimum of 20 credits total, including English, humanities, and social science credit, is required to complete the humanities and social sciences graduation requirement.

At least one of the HSS electives must be an Ethics course.

Math Placement may alter the course schedule above. 

Data Science Electives

A total of 16 semester credit hours of technical electives must be taken as a part of the program. Students may choose, after consultation with their primary advisor, among the electives offered each semester. Technical elective courses include the following courses. The school may add to the list of available electives on a semester by semester basis.