Program Overview

Data Science B.S. with Cybersecurity Data Analytics Concentration

The Data Science B.S. with Cybersecurity Data Analytics Concentration is a comprehensive program designed to equip students with the knowledge and skills necessary to succeed in the field of data science and cybersecurity.

Program Overview

The program is structured to provide students with a solid foundation in data science, programming, and cybersecurity. The curriculum includes a range of courses that cover topics such as calculus, programming languages, data visualization, machine learning, and cybersecurity.

Eight-Semester Plan

The program is designed to be completed in eight semesters. The following is a breakdown of the courses and units required for each semester:

First Year

• Fall:
  • MATH 24004 Calculus I (4 units)
  • ENGL 10103 Composition I (3 units)
  • DASC 10003 Introduction to Data Science (3 units)
  • DASC 11004 Programming Languages for Data Science (4 units)
• Spring:
  • MATH 25004 Calculus II (4 units)
  • ECON 21403 Basic Economics: Theory and Practice (3 units)
  • ENGL 10303 Technical Composition II (3 units)
  • DASC 12004 Introduction to Object Oriented Programming for Data Science (4 units)
  • DASC 12203 Role of Data Science in Today's World (3 units)
• Year Total: 14 units (Fall), 17 units (Spring)

Second Year

• Fall:
  • DASC 25904 Multivariable Math for Data Scientists (4 units)
  • STAT 30133 Introduction to Probability (3 units)
  • DASC 22103 Data Visualization and Communication (3 units)
  • DASC 21103 Principles and Techniques of Data Science (3 units)
  • State Minimum Core U.S. History or Government Elective (3 units)
• Spring:
  • SEVI 20503 Business Foundations (3 units)
  • STAT 30043 Statistical Methods (3-4 units)
  • State Minimum Core Natural Science Elective with Lab (4 units)
  • DASC 22003 Data Management and Data Base (3 units)
  • ACCT 20103 Accounting Principles (3 units)
• Year Total: 16 units (Fall), 16 units (Spring)

Third Year

• Fall:
  • DASC 21303 Data Privacy & Ethics (3 units)
  • DASC 31003 Big Data Analytics with Cloud Computing (3 units)
  • DASC 32203 Cyber Crime and Cyber Terrorism (3 units)
  • State Minimum Core Social Sciences Elective (3 units)
  • State Minimum Core Natural Science Elective with Lab (4 units)
• Spring:
  • DASC 32003 Optimization Methods in Data Science (3 units)
  • DASC 32103 Statistical Learning (3 units)
  • ISYS 40103 Principles of Data and Cybersecurity (3 units)
  • State Minimum Core Social Sciences Elective (3 units)
  • State Minimum Core Fine Arts Elective (3 units)
• Year Total: 16 units (Fall), 15 units (Spring)

Fourth Year

• Fall:
  • DASC 48902 Data Science Practicum I (2 units)
  • DASC 41103 Machine Learning (3 units)
  • DASC 41203 Social Problems in Data Science and Analytics (3 units)
  • ISYS 40203 Network and Data Security in a Changing World (3 units)
  • ISYS 40403 Cybersecurity, Crime and Data Privacy Law Fundamentals (3 units)
• Spring:
  • DASC 49903 Data Science Practicum II (3 units)
  • Concentration Elective (3 units)
  • Concentration Elective (3 units)
  • General Education Elective (2-3 units)
• Year Total: 14 units (Fall), 12 units (Spring)

Total Units in Sequence

The total number of units required to complete the program is 120.

Notes

• Students must complete the State Minimum Core requirements as outlined in the Catalog of Studies.
• The courses that meet the state minimum core also fulfill many of the university's General Education requirements.
• Students are encouraged to consult with their academic adviser when making course selections.
• Students are required to complete 40 hours of upper-division courses (level 3000 or above).
• It is recommended that students consult with their adviser when making course selections.
• Data Science Statistics and Computational Analytics Concentration students are advised to select STAT 30133/STAT 30043 to meet the prerequisites required in the concentration.