Data Analytics, Associate of Science Degree
Banner Code: 3_AS_DATA
Control Number: 39435
Financial Aid Eligible
This program provides students with a solid foundation in the fields of data science, business intelligence, and analytics. The program is designed to prepare students for entry-level jobs or to help them advance into careers, such as Business Analytics Specialist, Data Analyst, Data Visualization Developer, Operations Research Analyst, and Market Research Analyst. Topics covered include data analysis, data mining, statistical modeling, SQL queries and data views, systems analysis and design, data visualization and reporting, and applied predictive analytics.
Program Level Student Learning Outcomes
Upon completion of this program, students will be able to:
- Apply the methods, techniques, and tools relevant to data analytics.
- Solve organizational problems by applying the methods, techniques, and tools relevant to systems analysis and design.
- Demonstrate predictive analytics techniques to provide recommendations for common business scenarios.
Associate Degree Requirements
Unit Requirement
Complete at least 60 units of acceptable college work with a minimum of 12 units completed in residence at Coastline. Earn an overall grade point average of 2.0 or higher from all colleges attended and a 2.0 or higher grade point average at Coastline.
*Students must be in good academic standing (not on probation and/or disqualification) during the semester graduation is petitioned.
Program of Study
Complete the required courses in one of the programs as detailed In the Requirements for the Major section of this catalog. All coursework must be completed with a grade of C or higher.
General Education
Complete one of the three General Education options below (visit the General Education page for details):
Option 1 — AA/AS Local Degree GE: designed for students pursuing an Associate degree and who may or may not be planning to transfer to a four-year university. The degree is transferable to many colleges and universities.
Option 2—CSU GE Breadth: designed for students who are planning to transfer to a university in the CSU system. It may also be appropriate for transfer to some independent colleges and universities.
Option 3—IGETC: designed for students who are planning to transfer to a university in the CSU or UC system. It also may be appropriate for transfer to some independent colleges and universities.
Global and Multicultural Studies Requirement
Complete at least 2.5 units from any Global and Multicultural Studies courses. See what courses fulfill the Global and Multicultural Studies Requirement.
| Course | Title | Units |
|---|---|---|
| Required Core | ||
| Complete the following: | ||
| CIS C111 | Information Systems, Programming, and Database Management | 3 |
| CIS C157 | Introduction to Python Programming | 3 |
| CIS C240 | SQL Database Development | 3 |
| CIS C250 | Introduction to Data Analytics | 3 |
| CIS C260 | Systems Analysis and Design | 3 |
| CIS C275 | Data Mining and Analytics (Data+) | 3 |
| Program Electives | ||
| Select one of the following: | 3 | |
| Introduction to Geographic Information Systems and Techniques with Lab | ||
| Predictive Analytics | ||
| Data Visualization | ||
| Units Required for Major | 21 | |
| Requirement | Units |
|---|---|
| Local General Education, CSU General Education, or IGETC pattern | Varies |
| Electives to satisfy unit requirement | Varies |
| Total Units for Degree | 60 |
Data Analytics Degree Program Map
This program map is a recommended example of all major (program) requirements as well as general education requirements for two-year completion or transfer. This path may be altered to fit your individual academic needs. This two-year program map was created by program faculty and counselors and demonstrates a recommended path to completion. Students are advised to meet with a Coastline Counselor for individualized program planning.
Your Path to Success
Follow this path to earn your degree in Data Analytics in 2 years.
Don’t forget to consult a counselor for an education plan!
| Course | Title | Units |
|---|---|---|
| 1st Semester | ||
| ENGL C100 | Freshman Composition | 4 |
| MATH C160 | Introduction to Statistics | 4 |
| CMST C101 | Fundamentals of Human Communication | 3 |
| CIS C111 | Information Systems, Programming, and Database Management * | 3 |
| CIS C157 | Introduction to Python Programming * | 3 |
| 2nd Semester | ||
| HIST C175 | United States History since 1876 | 3 |
| PSYC C100 | Introduction to Psychology | 3 |
| ART C101 | Survey of Art: Renaissance to Contemporary | 3 |
| CIS C240 | SQL Database Development | 3 |
| CIS C250 | Introduction to Data Analytics | 3 |
| 3rd Semester | ||
| BIOL C100 | Introduction to Biology | 3 |
| ENGL C102 | Critical Reasoning, Reading, and Writing | 3 |
| PHIL C120 | Ethics | 3 |
| CIS C260 | Systems Analysis and Design | 3 |
| CIS C275 | Data Mining and Analytics (Data+) | 3 |
| 4th Semester | ||
| ASTR C100 | Introduction to Astronomy | 3 |
| ASTR C100L | Astronomy Laboratory | 1 |
| PSCI C180 | American Government | 3 |
| SOC C233 | Racial and Ethnic Relations in America | 3 |
| HLTH C100 | Personal Health | 3 |
| CIS C190 | Introduction to Geographic Information Systems and Techniques with Lab * | 3 |
| or CIS C270 | Predictive Analytics | |
| or CIS C280 | Data Visualization | |
| * | Also offered in the summer term |