BS in Data Science Curriculum
Students majoring in Data Science must meet the following requirements for graduation. Note: a C- or better is required for all program prerequisites, unless otherwise stated. Students are required to maintain a GPA of 2.0 or better for all courses used to fulfill the Data Science major.
|University Curriculum 1||46|
|College of Arts and Sciences Curriculum 2||3|
|Programming and Problem Solving|
and Programming and Problem Solving Lab
|3 - 4|
|or CSC 106||Introduction to Programming for Engineers|
|DS 110||Introduction to Data Science||3|
|DS 201||Introduction to Python||1|
|DS 210||Algorithms for Data Science||4|
|DS 380||Data Mining||3|
|DS 385||Machine Learning||3|
|DS 480||Data Science Capstone||3|
|MA 151||Calculus I||4|
|MA 229||Linear Algebra||3|
|MA 285||Applied Statistics||3|
|or EC 272||Advanced Applied Statistics|
|DS Electives (Take two courses from the following list)||6-8|
|Communicating with Data|
|Calculus II: Part A|
and Calculus II: Part B
|Minor Courses 3||18|
All students must complete the University Curriculum requirements.
Students must complete the College of Arts and Sciences Curriculum specific to their major. Students earning a bachelor of science must complete one foreign language through the 102-level. All students are encouraged to pursue a balanced program of study.
Students enrolled in the Bachelor of Science in Data Science program are required to complete a minor (typically 18 credits) to complement the knowledge and skills developed in the major. Students may select a minor from any program within or outside of the College of Arts and Sciences.