Program Overview

Data Science, B.S.D.S.

Learning Outcomes

• Provides students with a foundational understanding and mastery of the mathematical and scientific principles and techniques associated with data-centric inquiry.
• Instills theoretical aspects of data science reinforced with experiential learning steeping students in key processes of data curation and modeling, statistical analysis, and visualization.
• Following graduation, graduates will address growing regional and national workforce needs for employees with data science and data analytics skillsets.

Tulsa Curriculum and First Year Experience

Core Curriculum and First Year Experience

• FYE 1001 First Year Experience
• ENGL 1033 Exposition and Argumentation
• ENGL 2093 STEM and Business Writing

General Curriculum

• Quad I: Creative Arts (6 hours)
• Quad II: Humanities (6 hours)
• Quad III: Social Sciences (6 hours)
• Quad IV: Natural and Applied Sciences (7 hours)

Some major required courses may be double counted to fulfill a quad requirement.

Data Science Major Courses

Data Science

• DS 1043 Program in Python *
• DS 2113 Data Structures and Algorithms with Python **
• DS 2213 Data Science Concepts
• DS 3113 Data Visualization
• DS 3213 Introduction to Data Science
• DS 3313 Data Curation
• DS 4213 Data Mining
• DS 4513 Senior Project
• Data Science Electives - 3000 level or higher (6 hours) *Must earn a minimum grade of C before enrolling in DS 2113. **Must earn a minimum grade of C before enrolling in CS 2123.

Computer Science

• CS 1001 Introduction to Computer Science
• CS 2001 Computer and Engineering Ethics
• CS 2123 Data Structures
• CS 3013 Discrete Mathematics
• CS 3513 Software Engineering
• CS 4163 Database Systems

Statistics

• STAT 2013 Introduction to Statistics
• STAT 3113 Statistical Modeling
• STAT 3313 Statistical Learning

Mathematics

Mathematics Core

Take all of the following:

• MATH 2014 Calculus I
• MATH 2024 Calculus II
• MATH 2073 Calculus III
• MATH 4123 Linear Algebra and Matrix Theory

Mathematics Elective

Take one of the following:

• MATH 3033 Introduction to Advanced Mathematics
• MATH 3073 Differential Equations
• MATH 3513 Modern Geometries
• MATH 3553 Modern Algebra

Basic Sciences

Must be taken from Quad IV list or the following: BIOL 1603 or higher, CHEM 1013 or higher, GPHY 2503 or higher, GEOL 1014 or higher, PHYS 2053 or higher, ECE 2003 or any Engineering Science except ES 2513 . An associated lab component, offered either as a separate 1-hour credit accompanying a 3-hour lecture or built into a 4-hour course, must be taken with at least one of these selections.

• Science Lab (1 hour)
• Science Elective (3 hours)
• Science Elective (3 hours)

Electives (18 hours)

Total: 120 hours

To become a candidate for a degree data science, a student must complete all computer science and data science courses in the curriculum with a grade point average of at least 2.0, and earn a grade point average of 2.0 or higher overall.