Computer and Information Sciences: Data Science
ASSOCIATE OF SCIENCE
The program provides students with knowledge, skills, and training to prepare them for entry-level careers in the field of Data Science or Data Analytics. The program includes foundation courses in statistics, programming in data science, databases, machine learning, and artificial intelligence.
Program student Learning Outcomes
- Analyze data using various techniques, including statistical methods, machine learning algorithms, and data mining.
- Proficiently use data science programming languages to enable data manipulation, analysis, and model building.
- Understand data storage, retrieval, and management in different environments, including databases and big data systems.
- Effectively communicate data insights through reports, presentations, and visualizations.
- Apply data science principles and tools to solve real-world problems in various domains.
Program Requirements
| Code Number | Course Title | Units |
|---|---|---|
| Required Courses | ||
| STAT C1000 | Introduction to Statistics | 4.0-4.5 |
| or STAT C1000E | Introduction to Statistics | |
| CIS 181 | Python Programming | 3.5 |
| CIS 193 | Introduction to Data Science | 3.5 |
| CIS 207 | Database Design and SQL | 3.5 |
| CIS 204 | Data Analysis and Visualization with ML | 3.5 |
| Subtotal | 18-18.5 | |
| Select One Course | 3.5 | |
| Microsoft Excel for Information Systems/Information Technology | ||
| Microsoft Access | ||
| Web Page Development | ||
| HTML and CSS | ||
| Cybersecurity Fundamentals | ||
| AWS Cloud Foundations | ||
| Total Units | 21.5-22 | |
ASSOCIATE OF SCIENCE
Complete 60 units to include (1) the above required courses, (2) Complete the General Education requirements and electives to achieve a minimum of 60 units.