Bachelor of Science Data Science (BS)

Department website: https://www.odu.edu/datascience

Dr. Frank Liu, School Director (fliu@odu.edu)

The increased amount of available data has escalated the demand for data science professionals. The purpose of the BS in Data Science program is to provide students with foundational knowledge in the core competency areas of data science. Students will learn to use data to identify trends and patterns, solve problems, communicate results, and recommend solutions. The program will provide opportunities for students to practice these skills across application areas from different domains (e.g., geography, business, education). Graduates of this program will have the computer science, mathematics and statistics, and data analytics knowledge, skills, and abilities to work as data professionals.

For more information about the program contact Dana Willner, Undergraduate Program Director (dwillner@odu.edu).

Requirements 

Lower-Division General Education

Mathematics: Met with STAT 130M in Foundations.

Human Behavior: May not be met with DASC 205S or SOC 205S.

Philosophy and Ethics: Met with DASC 357E/PHIL 357E in the major.

Impact of Technology: Met with BDA 200T in the major.

Upper-Division General Education

Met in the major.

Requirements for Graduation

Requirements for graduation include the following:

• Minimum of 120 credit hours.
• Minimum of 30 credit hours overall and 12 credit hours of upper-level courses in the major program from Old Dominion University.
• Minimum overall cumulative grade point average of C (2.00) in all courses taken.
• Minimum overall cumulative grade point average of C (2.00) in all courses taken toward the major.
• Minimum overall cumulative grade point average of C (2.00) in all courses taken toward a minor.
• Completion of ENGL 110C, ENGL 211C or ENGL 231C, and the writing intensive (W) course in the major with a grade of C or better. The W course must be taken at Old Dominion University.
• Completion of Senior Assessment.

Data Science Major 

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Writing Intensive: C or better required.

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MATH 162M may be needed as a prerequisite.  Recommend taking as an elective if needed.

No more than two classes, or six credits, may be counted for both the major and a minor.  Some minors may allow fewer credits to share.

Data Science Areas of Specialization

Students in the Bachelor of Science in Data Science degree program must focus their studies in one of the specialized areas listed below.  

The Artificial Intelligence and Machine Learning area requires completion of the following:

The Data Visualization area requires completion of the following:

The Geospatial Analytics area requires completion of the following: 

Electives

Elective credit may be needed to meet the minimum of 120 hours required for the degree. 

Degree Program Guide

The Degree Program Guide is a suggested curriculum to complete this degree program in four years.  It is just one of several plans that will work and is presented only as broad guidance to students. Each student is strongly encouraged to develop a customized plan in consultation with their academic advisor.  Additional information can also be found in Degree Works. 

Specialization Area: Artificial Intelligence and Machine Learning 

Specialization Area: Data Visualization

Specialization Area: Geospatial Analytics