Jun 17, 2025  
2025-2026 Catalog SVC 
    
2025-2026 Catalog SVC

Data Management and Analytics, AAS


Overview


Data Management and Analytics (DATA) is a forward-thinking, interdisciplinary program that allows students to get an entry level job in the area of data management and analytics. The Data Management and Analytics program focuses on providing students with the skills to empower ethical data-informed decision-making in business contexts. The DATA degree consists of the theory, technology, and practical skills necessary for data collection, transmission, analysis, and utilization. DATA focuses on four broad areas:

  1. Ethical data-informed decision-making in business contexts.
  2. Effective communication of data insights to diverse stakeholders.
  3. Essential skills in project management to navigate the analytics project lifecycle.
  4. Hands-on experience in modern technologies that support data storage, data preparation, data analysis, and the reporting of data.

Content includes data literacy fundamentals; data preparation; project management for analytics; descriptive analysis; Structured Query Language (SQL); data privacy; data security; data ethics; data visualization; data storytelling; Python programming for analytics; relational databases; data engineering; business dashboards; machine learning; and predictive analytics. Students will learn the role of data in AI as well as how, when, and why Generative AI solutions can be used as a tool in analytics and what to look out for with GenAI results. The DATA program prepares students for today’s digital landscape by staying current with disruptive technologies and fostering a growth mindset along with learning essential technology skills.

Sample Career Options


Data science and analytics professionals are in high demand in the market. According to the U.S. Bureau of Labor Statistics (BLS), employment for Data scientists is projected to increase by 35.2% from 2022-2032. There are concerns that the future workforce is dangerously behind this growing demand. Companies expect their employees and contractors to be able to effectively analyze data and information. The median annual wage for data scientists in 2022 according to the BLS is $103,500 USD/year. Sample job titles included in this report are Business Intelligence Developer, Data Analytics Specialist, Data Mining Analyst, and Data Visualization Developer. In comparison, this is more than double the median annual wage for all occupations which is $46,310 USD/year.

There is high salary potential even as an entry-level analyst. The salary for Data Analysts in Washington State for candidates with less than one year of experience is estimated at approximately $82,283 USD/year. The pay range for all Data Analysts in Washington State is reported from a low of $58,805 to a high of $128,169.

Potential career options include:

  • Data Analyst with a Washington State salary range from $58,805 to $128,169.
  • Business Intelligence Analyst with a Washington State salary range from $64,335 to $125,480.
  • Data Engineer with a Washington State salary range from $91,625 to $189,306.
  • Database Administrator with a Washington State salary range from $65,491 to $131,339.

All pay range data was sourced from Indeed.com in October 2023.

Degree Intent and Transfer Options


Upon completion, Workforce degrees and/or certificates are intended to give students the skills needed to move directly into employment. These degrees also prepare alumni for entry to a BAS degree program. While these degrees are not intended to transfer to a university, students will be eligible to apply for admission to Skagit Valley College’s Bachelor of Applied Science - Management (BASM) degree  or SVC’s Environmental Conservation, BAS  (BAS-EC) and, in some cases, could transfer to other schools. If you are interested in continuing your education by entering a bachelor’s degree program, please work closely with your Academic Advisor and Department Chair.

Program Map


Program Maps are an integral part of the Planning Guide. Each Program Map includes a recommended quarterly sequence of courses for a full-time student to earn this degree within two years. The courses align with the appropriate number of credits to meet degree requirements and is designed to help you create an individualized, customized Educational Plan, required of all SVC students. Please consult with an SVC Advisor to schedule courses and develop your personal Educational Plan.

For students who began the program in or before Summer 2024, an alternate program map may be obtained from the Dept. Chair, Gina Mulligan, at gina.mulligan@skagit.edu.

90 credits

First Year


Second Year


Fall Quarter


Total Credits: 15

Winter Quarter


Total Credits: 15

Spring Quarter


Total Credits: 15