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Pacific Northwest College of Art

MBA and Data Science Master's Dual Degree

Become an effective leader in today’s data-driven world. Learn essential business principles alongside technical skills with our dual degree program.

Program Snapshot

Program Type

Graduate

Campus

Salem Campus, Portland Center

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Professor and student writing out equations on a whiteboard.

Our MBA/Data Science Dual Degree Program

Experience a dual degree program designed for the modern world. Complete both a master's in data science and MBA degree in just five semesters. Harness the power of data to make strategic decisions and set yourself up to thrive in a variety of fields. Earn two highly valuable degrees in less time at Willamette. 

Why pursue a dual MBA/MSDS degree at Willamette?

  • Elevate your prospects. By earning both an MBA and MSDS, you will set yourself apart from competitors in the job market. You will stand out as a well-rounded professional. 
  • Maximize your earning potential. A dual degree MBA and Data Science program allows you to complete your degrees in less time. This means you will have an extra year of earning power. 
  • A built-in professional network. Our small class sizes foster personal relationships and allow you to build connections with faculty and your peers. 

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Alumni Stories

Alumni of the dual degree program have applied their wide-ranging skills to a variety of fields – including taking on roles with major brands. Our alumni have landed jobs with KPMG, The San Diego Padres, Nordstrom, and Activision. With their proficiency in both leadership and technology, our graduates are having an impact. Learn more about how our students are using their graduate degrees to navigate modern challenges.

  • Justus Eaglesmith BA’21, MBA/MS’23

    Justus Eaglesmith BA’21, MBA/MS’23

    Shaping Oregon’s Future with AI
    Recently appointed as a Board Member of the State Government Artificial Intelligence Advisory Council, Justus Eaglesmith is using his expertise in data science and market analysis to ensure that AI technology is implemented safely and ethically in Oregon.

  • Karol Orozco MBA’22, MS’23

    Driving Change at TriMet
    As Senior Project Manager for TriMet’s Diversity, Equity, Inclusion, and Accessibility team, Karol Orozco uses her dual degrees in business and data science to create impactful initiatives, blending her analytical skills and human-centered approach to support marginalized communities.

    Karol Orozco MBA’22, MS’23

Why a Dual Degree Program at Willamette

Program Values

Our MBA/Data Science program prepares students for successful careers by bridging the gap between data expertise and effective leadership. In today’s data-driven world, it is essential for business leaders to navigate complex challenges. Learn how an intersectional education can prepare you for your future.

Willamette graduate student sitting in class.

MBA and Data Science Faculty

Faculty members of both the Atkinson Graduate School of Management and the School of Computing and Information Sciences are experienced and currently working in their respective fields. Connect one-on-one with your professors and receive personalized guidance and support. Gain industry insights from leaders and innovators as you earn your degrees. 

Curriculum

Our curriculum is designed to develop leadership and technical skills concurrently. In our dual degree program, students learn about strategic decision making alongside applied machine learning and data visualization. Courses cover leadership styles and marketing as well as programs such as R and Python. This combined curriculum helps students gain the skills and expertise needed to thrive in tomorrow’s world.

  • GSM 5107 Marketing: Creating Satisfied Customers

    Experience an introduction to data science, using R to explore data visualization, wrangling, and predictive modeling. Learn essential workflows, including the tidyverse tools, while mastering the skills needed to create value and communicate insights within an enterprise. Apply your knowledge through hands-on exercises and a final integrative project.

  • GSM 5103 Data Analysis, Modeling and Decision Making

    Master essential quantitative analysis techniques to solve real-world challenges in financial management, quality control, market research, and more. Gain practical skills in data interpretation, statistical processes, and effective communication of results using numerical and graphical tools.

FAQs

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