2021-2022 Academic Catalog

B.S. in Statistics and Data Science

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Program Description

The Bachelor of Science in Statistics and Data Science degree prepares students to analyze, manage and present data. Through coursework, students learn how to use statistical software and programming languages. 

Delivery Mode

Traditional (on-campus program with some online courses)

Curriculum

Course Credits
General Education Courses 40
Building a Sense of Community
UNI 100  First-Year Seminar
1
Composition
ENG 101  English Composition I
3
Public Speaking
Any Public Speaking Course
3
Mathematics and Quantitative Literacy
MAT 281  Calculus I
3
Health and Wellness
Any Health and Wellness Course
3
Technological Literacy
CSC 120  Problem Solving and Programming Construction
3
Humanities
Any Humanities Course
3
Fine Arts
Any Fine Arts Course
3
Natural Sciences
Any Natural Sciences Course
3
Social Sciences
Any Social Sciences Course
3
General Education Options
  • Any Ethics and Multicultural Awareness Emphasis Course
  • ENG 217  Science and Technical Writing
  • Additional General Education Courses (two courses)
12
   
Required Major Courses 45
MAT 207  Data Preparation and Cleaning 3
MAT 213  Data Visualization 3
MAT 215  Statistics  OR  MAT 225  Business Statistics 3
MAT 251  Big Data Tools 3
MAT 261  Big Data Analytics 3
MAT 272  Discrete Mathematics 3
MAT 282  Calculus II 3
MAT 341  Linear Algebra I 3
MAT 353  Intermediate Mathematical Statistics 3
MAT 376  Applied Linear Regression 3
MAT 391  Statistical Packages 3
MAT 401  Data Analytics Capstone Project 3
MAT 491  Statistical Packages II 3
Select two of the following:
  • MAT 361  Nonparametric Statistics 
  • MAT 371  Applied Categorical Data Analysis
  • MAT 373  Time Series and Stochastic Processes
  • MAT 471  Applied Multivariate Statistics
6
   
Related Coursework 15
CSC 124  Computer Programming I 3
CSC 265  Object-Oriented Programming 3
CSC 308  Python 3
CSC 328  Data Structures 3
CIS 322  Database Application Development 3
   
Free Electives* 20
   
Total 120

Additional requirements, not counted toward the General Education requirements, include:

  • Special Experience Course (1 course required): MAT 401 Data Analysis Capstone Project
  • Writing-Intensive Component Courses (2 courses required): MAT 261 Big Data Analytics AND MAT 401 Data Analysis Capstone Project
  • Laboratory Course (1 course required): MAT 376 Applied Linear Regression

* May need MAT 181 and MAT 191.

Program Webpage

https://www.calu.edu/academics/undergraduate/bachelors/data-science/index.aspx