Data Science Minor Requirements
The Data Science minor introduces liberal arts and science majors to a rapidly growing field and equips them with marketable problem solving skills and strategies needed to confront diverse analytic challenges.
The curriculum of the minor is firmly rooted in interdisciplinary education and covers conceptual, computational, and quantitative methods used to distill valuable patterns from the abundance of data that surrounds us. Through coursework, hands-on training, and experiential learning, students will become aware of the challenges and opportunities inherent in successful data analysis. In addition, students will learn the central role that well crafted narrative plays in real-world data science and the ethical conundrums that often attend acquisition and processing of information and application of insights, once gained.
Resume-building skills garnered through completion of this minor are marketable in diverse fields including but not limited to engineering, computer science, medicine, natural and social science, professional and amateur sports, public health and welfare, and race, ethnic, and gender studies.
| Code | Title | Units |
|---|---|---|
| Minor Requirements | ||
| COMPSCI 170 | INTRODUCTION TO PYTHON PROGRAMMING | 3 |
| COMPSCI 180 | DATA SCIENCE FOR EVERYONE | 3 |
| COMPSCI 181 | INTRODUCTION TO DATABASE AND THE WEB | 3 |
| COMPSCI 312 | INTERMEDIATE DATA SCIENCE | 3 |
| or BIOLOGY 312 | INTERMEDIATE DATA SCIENCE | |
| Ethical and Legal Context: | 3 | |
| TECHNOLOGY AND SOCIAL RESPONSIBILITY | ||
| CONTEMPORARY MORAL ISSUES | ||
| BUSINESS ETHICS | ||
| THE CONSTITUTION AND CIVIL RIGHTS | ||
| Communication Proficiency: | 3 | |
| PUBLIC SPEAKING | ||
| COMMUNICATION AND TEAM BUILDING | ||
| PERSUASION | ||
| STYLE: PRINCIPLES AND PRACTICES | ||
| WRITING FOR THE WEB | ||
| WRITING IN THE SCIENCES | ||
| TECHNICAL AND PROFESSIONAL WRITING | ||
| Data Science Electives: Select one course from one group | 3-5 | |
| A. Applications of Data Science Methods to Specific Fields | ||
| INTRODUCTION TO EPIDEMIOLOGY | ||
or PUBHLTH 220 | INTRODUCTION TO EPIDEMIOLOGY | |
| BIOINFORMATICS | ||
or COMPSCI 448 | BIOINFORMATICS | |
| GIS I: MAPPING OUR WORLD | ||
| ECONOMIC GEOGRAPHY | ||
| GIS II: APPLICATIONS AND DATA | ||
| DATA VISUALIZATION AND STORYTELLING IN BUSINESS | ||
| PUBLIC POLICY ANALYSIS AND ADVOCACY | ||
| SCIENCE POLICY AND HUMAN HEALTH | ||
| US ENVIRONMENTAL POLITICS AND POLICY | ||
| ADVANCED AND MULTIVARIATE DATA ANALYSIS FOR THE LIFE SCIENCES | ||
or BIOLOGY 416 | ADVANCED AND MULTIVARIATE DATA ANALYSIS FOR THE LIFE SCIENCES | |
| METHODS OF SOCIAL RESEARCH | ||
| B. Additional Analytic Preparation for Select Graduate Programs | ||
| INTRODUCTION TO ARTIFICIAL INTELLIGENCE | ||
| DATABASE MANAGEMENT SYSTEMS | ||
| APPLIED CALCULUS SURVEY FOR BUSINESS AND SOCIAL SCIENCES | ||
| CALCULUS AND ANALYTIC GEOMETRY I | ||
| MATRICES AND LINEAR ALGEBRA | ||
| LOGIC | ||
| At least 6 total units must be earned in courses numbered 300 or higher 1 | ||
| Total Units | 21-23 | |
| Code | Title | Units |
|---|---|---|
| Unique Requirements: | ||
| Foundational Mathematical Skills: | 3-5 | |
| COLLEGE ALGEBRA | ||
| FINITE MATHEMATICS FOR BUSINESS AND SOCIAL SCIENCES | ||
| PRECALCULUS | ||
| Foundational Statistical Skills: | 3-4 | |
| BIOSTATISTICS | ||
| BUSINESS STATISTICS | ||
| BASIC STATISTICAL METHODS | ||
| BASIC SOCIAL STATISTICS | ||
| STATISTICS FOR SOCIAL WORK | ||
| INTRODUCTION TO STATISTICAL REASONING AND ANALYSIS | ||
| APPLIED STATISTICS | ||
| Total Units | 6-9 | |
- 1
This includes COMPSCI 312 or BIOLOGY 312.