Data Science B.S.

Program Learning Outcomes

Formulate mathematical models to explain the variation of a study outcome.
Assess studies and mathematical models for adequacy.
Build a programming workflow to gather, clean, and analyze data.
Produce reports, visualizations, or digital material to communicate the results of a data analysis.
Design data science projects to answer questions to field-specific disciplines.

Summary of Units:

Lower Division Major Requirements	13-17
Upper Division Major Requirements31	31
General Education	37
Free Elective and Graduation Requirements	35-39
Total Units	120

Lower Division Requirements - 13-17 units

DATA 213 - Programming for Data Science Units: 3

or

Upper Division Requirements - 25 units

DATA 300 - Introduction to Data Management Units: 3
DATA 308 - Applied Statistical Modeling Units: 3
DATA 347 - Data Science, Artificial Intelligence, and Society: An Ethical Approach Units: 3
DATA 426 - Statistical Computing Units: 3
MATH 352 - Probability and Statistics Units: 3
MATH 398 - Advanced Research Investigations Units: 3
MATH 408 - Machine Learning Units: 3
Complete one of the following sequences - 4 units
DATA 491 - Capstone Preparation Units: 1
DATA 499 - Data Science Capstone Units: 3
OR
DATA 492 - Internship in Data Science Units: 3
MATH 499 - Senior Colloquium Units: 1

Upper Division Elective Requirements - 6 units

BIOL 432 - Principles of Epidemiology and Environmental Health Units: 3
COMP 420 - Database Theory and Design (Cross-listed as IT 420) Units: 3
COMP 469 - Introduction To Artificial Intelligence Units: 3
COMP 478 - Introduction To Data Mining Units: 3
ECON 312 - Econometrics Units: 3
ECON 312L - Econometric Applications Units: 3
ESRM 303 - Data Visualization and Climate Communication Units: 3
ESRM 328 - The Why of Where: Foundations in GIS Units: 3
ESRM 433 - Satellites to Sensors: Remote Sensing of the Environment Units: 3
FIN 300 - Business Finance Units: 3
HIST 330 - The History of Science: Nonwestern Origins and the Western Revolution (Cross-listed as CHEM 330) Units: 3
MATH 445 - Image Analysis and Pattern Recognition (Cross-listed as PHYS 445, COMP 445) Units: 3
MATH 448 - Scientific Computing Units: 3
MATH 453 - Mathematical Statistics Units: 3
MIS 310 - Management Information Systems Units: 3
MIS 320 - Business Data Analytics and Visualization Units: 3

General Education and Graduation Requirements - B.S.

To graduate, students must complete a minimum of 120 units (27 units must be upper division), including the following General Education Requirements (GE) and Graduation Requirements not met within the major:

American Institutions Requirements
GE Requirements
- Lower Division General Education Area 1-6 Requirements
- Upper Division General Education (UDGE) Requirements (minimum of 3 units in each Area: UDGE-2 , or UDGE-5 , UDGE-4 and UDGE-3 )
Graduation Writing Assessment Requirement (C- or better grade)
Language Requirement (C- or better grade)
Multicultural Perspectives (MP) Requirement
Free electives as needed to meet minimum units for graduation

Roadmaps

Roadmap Freshman - 4 year: Data Science, B.S.

Roadmap Transfer - 2 year: Data Science, B.S.