Data Management and Analytics, AAS
- Mount Vernon, USA
- Oak Harbor, USA
Associate Degree
DURATION
2 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
Sep 2026
STUDY FORMAT
On-Campus
Fast-track counseling
By contacting the school, you'll get access to free priority counselling for any study and application questions.
Key Summary
About: Skagit Valley College’s Data Management and Analytics (DATA) AAS is an interdisciplinary, cloud-focused two-year degree preparing students for entry-level employment, contracting, or consulting. It covers data collection, transmission, analysis, storage, and utilization, emphasizing professional communication, business leadership, decision making, and systems design. Graduates can apply to SVC’s BASM or BAS-EC.
Career Outcomes: Graduates can pursue career opportunities as data analysts, database administrators, data engineers, IT consultants, or technical writers. Washington averages place data analysts around $71,623 and early-career analysts near $54,100; national averages for experienced data-related engineers reach $135,164. Skills support industry roles and applied bachelor pathways and consulting.
Data Management and Analytics (DATA) is a forward-thinking, interdisciplinary program that allows students to serve as contractors, consult for businesses, or get an entry-level job in the area of data management and analytics. The Data Management and Analytics program focuses on preparing students to lead and thrive in a cloud-driven industry and determine, analyze, and communicate relevant information and data in a variety of workplace settings. DATA is an interdisciplinary and technologically forward-thinking two-year degree focusing on the theory, organization, and process of data collection, transmission, analysis, and utilization. DATA focuses on four broad areas:
- Professional communication
- Business leadership
- Decision making
- Systems design, development, operations
Content includes information classification and organization; information storage and processing; communications; systems planning and design; human interfacing and use analysis; database development; information policy analysis; and related aspects of software, economics, social factors, and capacity. Students will acquire invaluable experience in teamwork, decision-making, and leadership, and develop a growth mindset right along with learning essential technology skills.
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. 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.
First Year
Fall Quarter
- DATA 101 - Introduction to Data and its Application Credits: (5)
- BUS& 101 - Intro to Business Credits: (5)
- ENGL& 101 - English Composition I Credits: (5)
Total Credits: 15
Winter Quarter
- DATA 110 - Essentials of Cloud and Technological Ecosystems Credits: (5)
- DATA 120 - Programming Fundamentals with Python Credits: (5)
- DATA 130 - Introduction to Relational Databases and SQL Credits: (5)
Total Credits: 15
Spring Quarter
- DATA 105 - Exploring Data Science and Technological Applications Credits: (5)
- DATA 199 - Community Contribution / Cooperative Education (Capstone I) Credits: (5)
- MATH& 146 - Introduction to Stats Credits: (5)
Students who do not receive an appropriate test score will require additional coursework to develop necessary skills for entry into class.
Total Credits: 15
Second Year
Fall Quarter
- DATA 215 - Big Data & Data Analytics Credits: (5)
- DATA 230 - Advanced Relational Databases & SQL Credits: (5)
- CMST& 210 - Interpersonal Communication: E Credits: (5)
- or CMST& 220 - Public Speaking Credits: (5)
Total Credits: 15
Winter Quarter
- DATA 225 - Business Intelligence and Predictive Analytics Credits: (5)
- DATA 235 - Ethics and Law in Data and Analytics Credits: (5)
- Transferable Elective Credits: (5)
Suggested: ENGL 235 or CS 101 or LIB 201. Discuss specific course requirements with an SVC advisor. Students are responsible for checking specific major requirements of baccalaureate institutions.
Total Credits: 15
Spring Quarter
- DATA 240 - Current Trends in Computing Futures Credits: (5)
- DATA 245 - Data Security Credits: (5)
- DATA 299 - Community Contribution / Cooperative Education (Capstone II) Credits: (5)
Total Credits: 15
Data science and analytics continue to raise demand in the market, and there are concerns that the future workforce is dangerously behind demand. Companies expect their employees and contractors to be able to effectively analyze data and information. The national average salary for experienced data-related engineers is approximately $135,164 USD/year which is 9% above the national salary average. Approximately $109,745 USD/year is the average salary for data-related engineers in the State of Washington, which is 12% below the national data-related engineer average. The average salary for Data Analysts Salaries in Washington State based on salaries estimated from 81 employees, users and past and present job advertisements on Indeed in the past 36 months as of June 6, 2019 is $71,623 USD/year.
- Data Analysts salaries for a candidate with less than one year of experience is estimated at approximately $54,100 USD/year and approximately $60,300 USD/year for prospective employees with 1 to 5 years of experience.
- Computer and Information Systems, Database administration, and Technical Writing have an average annual wage between $62,563 to $157,980.
