Data Science, Associate of Science

The Associate of Science in Data Science degree provides students with foundational skills in data science, statistical methods, programming, and data visualization. Designed for students aiming to enter the workforce or transfer to a four-year degree program, this curriculum covers essential data science tools and techniques and applies them across various industries. By completing this program, students will acquire practical, hands-on experience with real-world data, empowering them to make data-driven decisions and solve complex problems. This program prepares students for entry-level roles or supports career growth in positions such as Associate Data Scientist, Junior Data Scientist, Modeling and Simulation Specialist, Modeling and Simulation Analyst, Big Data Analyst, and Senior Data Analyst.

Enrollment Completer Projections are 30.

The Data Science Associate of Science program is designed to prepare students for careers in data science, addressing the growing demand for professionals with expertise in this field. This program equips students with the skills, knowledge, and practical experience needed to succeed in the rapidly growing field of data science, preparing them for both immediate employment and continued academic study.

Program Learning Outcomes

1. Recommend solutions to operational problems by applying data science methods, techniques, and applications.
2. Explain data extraction and cleaning techniques applied to a variety of data sources and data types to ensure quality.
3. Apply appropriate predictive analytics techniques to common operational scenarios.
4. Communicate complex datasets and findings by applying appropriate data visualization techniques.

Goals

1. Equip students with essential knowledge in statistical methods, programming, and data visualization to analyze and interpret data effectively.
2. Enable students to enter entry-level data science roles or transfer to a four-year degree program for continued education.
3. Provide hands-on experience with real-world data to develop problem-solving and decision-making abilities.
4. Train students to apply data science tools and techniques across various industries, including business, healthcare, and technology.
5. Prepare students for positions such as Associate Data Scientist, Junior Data Scientist, Modeling and Simulation Specialist, and Big Data Analyst by developing relevant technical and analytical competencies.

Objectives

1. Utilize statistical techniques, machine learning algorithms, and data analytics tools to extract meaningful insights from data.
2. Use Python, R, SQL, and other programming languages to manipulate and analyze datasets efficiently.
3. Create charts, graphs, and dashboards using tools like Tableau, Power BI, and Matplotlib to communicate data findings effectively.
4. Implement data wrangling and preprocessing techniques to handle missing data, inconsistencies, and large datasets.
5. Solve complex data-driven problems through data modeling, simulation, and trend analysis.
6. Recognize and adhere to ethical guidelines, data privacy regulations, and responsible AI practices.
7. Build a strong portfolio of projects and practical experience to pursue entry-level roles in data science or transfer to a four-year program.

This program meets an occupational goal, addressing regional workforce demands for skilled professionals who can leverage data science to enhance software development, data visualization, and leverage artificial intelligence.

To earn the Associate of Science in Data Science, students must complete 9 courses in the program major and one of the required math courses along with the other general education requirements to reach 60 units. The courses are listed in the sequence that they should be taken. There are no special requirements for student enrollment and no additional mandatory fees.

This program is part of the Technology program under the Information & Computer Sciences (ICS) discipline. 

None are known at this time.

Annual Enrollment projections are 80-100