Apr 21, 2024  
2021-2022 Catalog SVC 
2021-2022 Catalog SVC [ARCHIVED CATALOG]

Information Management and Data Science

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Program Overview


Skagit Valley College will be offering a new forward-thinking, interdisciplinary program that will allow students to serve as a contractor, consult for businesses, or get an entry level job in the area of information management and data science. The Information Management & Data Science (IMDS) program will focus 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. IMDS is an interdisciplinary and technologically forward-thinking two-year degree focusing on the theory, organization, and process of data collection, transmission, analysis, and utilization. IMDS focuses on four broad areas:

  1. Professional communication
  2. Business leadership
  3. Decision making
  4. 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 hardware, software, economics, social factors, and capacity. Students will acquire invaluable experience in teamwork, decision-making, leadership, and develop a growth mindset right along with learning essential technology skills.

Learning Outcomes:

Upon completion of the SVC Information Management & Data Science program, students will be able to:

  • Demonstrate mastery of industry-grade technologies in data analysis techniques.
  • Address business needs and opportunities using data-driven approaches.
  • Optimize information management ecosystems in the cloud, networks, and physical premises using ethical practices and security standards.

Program Admissions:

Enrollment for Fall 2021 will begin in May 2021. To get started, please contact Enrollment Services .

Specialized Program Information:

Program Highlights
  • Industry certifications are intertwined in the courses, students will have the option to prepare and certify for industry certifications during the entirety of their degree program. Both Amazon and Microsoft technologies are in demand in the marketplace today.
  • Microsoft Imagine Academy will be used beginning with building basic skills in data analysis using Excel and database fundamentals, then moving on to more intermediate and advanced concepts and applied skills such as working with non-relational data, data visualization, and finally exploring data science and machine learning.
  • Additionally, Amazon industry certifications will be incorporated such as Big Data, Machine Learning, and Advanced Networking. This will provide a holistic approach with integrated lessons on industry technology to create a diverse knowledge base for students.
Work-Based Learning
  • Cooperative education is integrated in two-parts. Students work on product ideation during the first year and then product deployment during their second year.

Degree Option:

This program offers an Associate in Applied Science Degree, AAS  Degree in Information Management & Data Science. During their first year, students will be introduced to foundational hands-on-skills in the general areas of technological futures, cloud computing, and programming. In the second year, students will continue with more advanced topics in information systems, computing architecture, and development. The program will be offered through a combination of face-to-face, hybrid, and distance education. Both Microsoft and Amazon industry certifications are intertwined throughout the courses giving students the option to prepare and certify for industry certifications. The program will also include experiential learning through two cooperative education internship courses where students will work on product ideation and product deployment.


    Associate Degrees: Workforce

    Intended to give students the skills needed to move directly into employment.

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