Skip to main content

Master’s in Data Science Program

Gain skills that are invaluable in today’s world. Prepare to enter one of the most rapidly growing fields with a Master’s in Data Science program.

Program Snapshot

Master's

Graduate

36

12 months

Salem Campus, Portland Center

Student and professor chatting before class

Our MS in Data Science Program

Be in-demand and set yourself up for a future-proof career. Designed for both working professionals and recent graduates, the Data Science program can help those at all experience levels achieve their goals. In this program, students develop high-level technical skills and consider the ethical implications of computing. Build your computing programming and data analysis skills with an MS in Data Science. 

Why choose the Master’s in Data Science Program at Willamette? 

  • Two well-positioned campus locations. The program is offered in both Portland and Salem. Both locations offer access to unique professional opportunities with major brands and Oregon’s State Capitol. 
  • A schedule built for ambitious professionals. Classes are held in the evenings so students can work full-time while going to school. The program takes one year to complete, meaning you can start building your career sooner. 
  • A comprehensive approach. The Data Science program is not a boot camp or certificate. It is a high-quality program that equips students with the skills and experience necessary to build lasting careers. 

Schedule a Visit

Alumni Stories

Alumni of the MSDS program are making their mark and emerging as leaders in many tech-related fields. They are pursuing opportunities with some of the world’s most innovative companies and helping organizations maximize their potential. From major brands and government offices to non-profits and start-ups, find out more about the impact of Willamette alumni.

  • Colleen Smyth BA’15, MS’21

    Colleen Smyth BA’15, MS’21

    Transforming Math Curriculum at Portland Public Schools
    High school math teacher Colleen Smyth used her Willamette MS in Data Science to develop a model predicting on-time graduation rates and is now advocating for more data science-focused courses in Portland Public Schools, where she recently launched the district’s first AP statistics class.

  • Nick Kachanyuk MS’21

    Building Transparency at Marion County DA’s Office
    As the Marion County District Attorney’s first data specialist, Nick Kachanyuk is creating interactive dashboards to share crime statistics and offender demographics with the public, while using data science to support life-saving initiatives like identifying patterns in drug overdoses and suicides.

    Nick Kachanyuk MS’21

Curriculum

The Data Science program uses a curriculum that incorporates the most current industry insights and technology. Students will complete six core courses and three elective courses, covering topics including programming with R and Python, data engineering, data visualization, and machine learning (AI). Level up your skills and develop practices that will allow you to stay up-to-date on the evolution of this technology throughout your career.

  • DATA 504 Data Ethics, Policy, and Human Beings

    Explore the legal, policy, and ethical implications of data. Examine the issues that arise at each stage of the data science workflow including data collection, storage, processing, analysis and use. Students are confronted with topics including privacy, surveillance, security, classification, discrimination, decisional-autonomy, and duties to warn or act. The course addresses real-world problems in areas like criminal justice, national security, health, marketing and politics.

  • DATA 505 Applied Machine Learning

    Machine learning is becoming a core component of many modern organizational processes. It is a growing field at the intersection of computer science and statistics focused on finding patterns in data. Prominent applications include personalized recommendations, image processing and speech recognition. This course will focus on the application of existing machine learning libraries to practical problems faced by organizations. Students will learn how to use machine learning to solve real world problems, run evaluations, and interpret their results.

FAQs

Willamette University

School of Computing and Information Systems