CIS: Data Analytics
Certificate of Achievement Computer Science & Information Systems · Palomar College · 2026-2027 Catalog
CIS: Data Analytics is the science of analyzing raw data in order to make informed decisions with the goal of optimizing performance. This degree focuses on concepts as well as current and emerging software required to be a successful Data Analyst. Typical employment opportunities include: Data Analyst, Business Analyst, Business Intelligence, Research Analyst, Data Visualization Developer, Social Media Marketing, and Application Tester and Developer. Ideal for students with a Bachelors degree, work or military experience and excited to break into the growing field of Data Analytics and Data Science.
Learning Outcome(s):
- Examine and apply the science of analyzing raw data in order to make conclusions about that information to assist in optimizing performance using emerging application software and programming specializing in Data Analytics.
- Demonstrate communication, teamwork, and project-based learning skills necessary to function effectively on teams to accomplish a common goal.
- Analyze business and technical challenges and then identify and define the computer software application and programming requirements appropriate for the business process.
- Identify problem and process requirements and then design, implement, evaluate, and communicate a computer-based system, process, component, program, or application program to assist in achieving the desired problem results.
| Course | Title | Units |
|---|---|---|
| Program Requirements | 19 | |
| CSIT 125 | Computer Information Systems | 3 |
| CSIT 128 | Foundations of Data Science | 4 |
| CSIT 165 | R Programming | 3 |
| CSIT 175 | Python Programming | 3 |
| CSIT 226 | Data Visualization | 3 |
| CSIT 230 | Data Modeling | 3 |
| Data Analytics/Data Science Electives - Choose Two | 6-8 | |
| CSIT 110 | AI Literacy and Skills | 3 |
| CSIT 150 | Introduction to SQL | 3 |
| CSIT 275 | Advanced Python Programming | 3 |
| CSCI 250 | Introduction to Artificial Intelligence | 4 |
| CSCI 290 | Introduction to Machine Learning | 4 |
| CSNT 150 | AWS Academy Cloud Foundations | 3 |
| GEOG 120 | Digital Earth: Introduction to Geographic Information Systems | 4 |
| JOUR 200 | Digital Literacy | 3 |
| Total | 25-27 | |