Program Overview

Data Science B.S. with Data Science Statistics Concentration

The Data Science B.S. with Data Science Statistics Concentration is an eight-semester program designed to provide students with a comprehensive education in data science and statistics.

Program Overview

The program is structured to provide students with a strong foundation in mathematics, statistics, and computer science, as well as practical skills in data analysis and interpretation.

Curriculum

The curriculum for the Data Science B.S. with Data Science Statistics Concentration is as follows:

• First Year
  • Fall:
    • MATH 24004 Calculus I (ACTS Equivalency = MATH 2405) (Satisfies General Education Outcome 2.1)
    • ENGL 10103 Composition I (ACTS Equivalency = ENGL 1013) (Satisfies General Education Outcome 1.1)
    • DASC 10003 Introduction to Data Science
    • DASC 11004 Programming Languages for Data Science
  • Spring:
    • MATH 25004 Calculus II
    • ECON 21403 Basic Economics: Theory and Practice (Satisfies General Education Outcome 3.3)
    • ENGL 10303 Technical Composition II (ACTS Equivalency = ENGL 1023) (Satisfies General Education Outcome 1.2)
    • DASC 12004 Introduction to Object Oriented Programming for Data Science
    • DASC 12203 Role of Data Science in Today's World
• Second Year
  • Fall:
    • DASC 25904 Multivariable Math for Data Scientists
    • STAT 30133 Introduction to Probability
    • DASC 22103 Data Visualization and Communication
    • DASC 21103 Principles and Techniques of Data Science
    • State Minimum Core U.S. History or Government Elective (Satisfies General Education Outcome 4.2)
  • Spring:
    • SEVI 20503 Business Foundations (Data Science Majors-only section)
    • STAT 30043 Statistical Methods
    • State Minimum Core Natural Science Elective with Lab (Satisfies General Education Outcome 3.4)
    • DASC 22003 Data Management and Data Base
    • STAT 31133 Introduction to Mathematical Statistics
• Third Year
  • Fall:
    • DASC 21303 Data Privacy & Ethics (Satisfies General Education Outcome 5.1)
    • DASC 31003 Big Data Analytics with Cloud Computing
    • State Minimum Core Social Sciences Elective (Satisfies General Education Outcomes 3.2 and 3.3)
    • State Minimum Core Natural Science Elective with Lab (Satisfies General Education Outcome 3.4)
    • STAT 43733 Experimental Design
  • Spring:
    • DASC 32003 Optimization Methods in Data Science
    • DASC 32103 Statistical Learning
    • STAT 43333 Analysis of Categorical Responses
    • State Minimum Core Social Sciences Elective (Satisfies General Education Outcomes 3.3 and 4.1)
    • State Minimum Core Fine Arts Elective (Satisfies General Education Outcome 3.1)
• Fourth Year
  • Fall:
    • DASC 48902 Data Science Practicum I
    • DASC 41103 Machine Learning
    • DASC 41203 Social Problems in Data Science and Analytics
    • STAT 40133 Statistical Forecasting and Prediction
    • Data Science Statistics Concentration Elective
  • Spring:
    • DASC 49903 Data Science Practicum II (Satisfies General Education Outcome 6.1)
    • Data Science Statistics Concentration Elective
    • Data Science Statistics Concentration Elective
    • General Elective

Total Units in Sequence

The total units required for the program are 120.

Notes

• Students have demonstrated successful completion of the learning indicators identified for learning outcome 2.1, by meeting the prerequisites for MATH 24004.
• Students must complete the State Minimum Core requirements as outlined in the Catalog of Studies.
• Students are required to complete 40 hours of upper-division courses (level 3000 or above).
• Data Science Statistics and Computational Analytics Concentration students are advised to select STAT 30133/STAT 30043 to meet the prerequisites required in the concentration.