Master of Science in Data Science

1 Years On Campus Masters Program

University of Oregon

Program Overview

The Master of Science in Data Science at the University of Oregon is an interdisciplinary STEM program designed for students who want to develop expertise in data analytics, machine learning, computational modeling, and data-driven decision-making. The program equips students with advanced technical, statistical, and computational skills to extract value from complex data and solve real-world challenges across industries including technology, healthcare, finance, business, and research.

Curriculum Structure

Year 1

Students begin by developing a strong foundation in statistics, programming, and data analysis. Through courses such as Statistical Methods, Data Management, and Programming for Data Science, students learn how to collect, clean, analyze, and interpret large datasets while developing practical computational and analytical skills.

Students also strengthen their quantitative expertise through coursework in Machine Learning, Data Visualization, and Applied Analytics, gaining experience with modern data science tools and methodologies used to support evidence-based decision-making.

Year 2

During the second year, students focus on advanced areas of data science and computational analytics. Courses such as Predictive Modeling, Big Data Analytics, and Advanced Machine Learning help students develop sophisticated analytical approaches for solving large-scale, data-intensive problems.

The program culminates in a Capstone Project or applied research experience where students work on real-world datasets and industry-relevant challenges. This experience enables students to integrate statistical, computational, and domain-specific knowledge into actionable solutions.

Focus Areas

Data Science; Machine Learning; Predictive Analytics; Big Data Analytics; Statistical Modeling; Data Visualization; Data Engineering; Artificial Intelligence; Computational Analytics; Applied Data Science.

Learning Outcomes

Develop expertise in data analysis, machine learning, statistical modeling, predictive analytics, data visualization, programming, big data technologies, computational problem-solving, research methodologies, and data-driven decision-making.

Professional Alignment (Accreditation)

The program prepares students for careers in data science, analytics, machine learning, artificial intelligence, business intelligence, quantitative research, and data engineering. Students gain hands-on experience applying analytical techniques to complex datasets while developing the technical and communication skills required for modern data-driven organizations.

Reputation (Employability Rankings)

The University of Oregon's School of Computer and Data Sciences is recognized for its interdisciplinary approach to data science education and research. Graduates are well positioned for careers as Data Scientists, Machine Learning Engineers, Data Analysts, Business Intelligence Analysts, Data Engineers, and Research Analysts, benefiting from a curriculum designed to meet growing workforce demand for advanced data and analytics professionals.

Experiential Learning (Research, Projects, Internships etc.)

At the University of Oregon, the Master of Science in Data Science program is designed to provide students with hands-on experience that is essential for success in the rapidly evolving field of data science. Students engage in practical learning through a variety of projects, internships, and collaborative opportunities that allow them to apply theoretical knowledge to real-world challenges. The program emphasizes the use of cutting-edge tools and technologies, ensuring that graduates are well-prepared for their careers.

Here are some key aspects of experiential learning within the program:

- Collaborative Projects: Students work on team-based projects that simulate real-world data science problems, fostering teamwork and communication skills.
- Internship Opportunities: The program encourages students to pursue internships with local companies and organizations, providing valuable industry experience and networking opportunities.
- Access to Advanced Software: Students gain proficiency in industry-standard software such as Python, R, SQL, and Tableau, which are integral to data analysis and visualization.
- Research Laboratories: The university boasts state-of-the-art research facilities where students can engage in cutting-edge data science research alongside faculty members.
- Data Science Institute: The university's Data Science Institute offers resources, workshops, and seminars that enhance learning and provide insights into current industry trends.
- Field Trips: Students have opportunities to visit tech companies and data-driven organizations, allowing them to see data science applications in action.
- Library Resources: The UO Libraries provide access to a wealth of academic journals, databases, and other resources that support research and learning in data science.

Progression & Future Opportunities

The Master of Science in Data Science at the University of Oregon equips graduates with the skills and knowledge to excel in a rapidly growing field. With a strong emphasis on practical experience and theoretical foundations, students can look forward to exciting career opportunities such as Data Scientist, Machine Learning Engineer, Business Intelligence Analyst, and Data Analyst.

Here’s what you can expect in terms of progression and future opportunities:

- University Services: The Career Center offers personalized career counseling, resume workshops, and networking events specifically tailored for data science students. Additionally, the Data Science program provides access to industry mentors and internship opportunities through partnerships with local tech companies.

- Employment Stats and Salary Figures: Graduates from the program have a high employment rate, with over 90% securing jobs within six months of graduation. The average starting salary for data science graduates is around $85,000, with potential for significant increases as they gain experience.

- University–Industry Partnerships: The University of Oregon has established partnerships with leading companies such as Intel, Nike, and Amazon, providing students with real-world projects and internship opportunities that enhance their learning experience.

- Long-term Accreditation Value: The program is accredited by the Northwest Commission on Colleges and Universities (NWCCU), ensuring that the education you receive meets high standards and is recognized nationally.

- Graduation Outcomes: Alumni of the program have gone on to work at prestigious organizations and have reported high job satisfaction, often citing the program's rigorous curriculum and supportive faculty as key factors in their success.

Further Academic Progression: After completing the Master of Science in Data Science, students have the option to pursue a Ph.D. in Data Science or related fields, which can open doors to academic positions, advanced research roles, or specialized industry positions. Additionally, graduates may choose to obtain certifications in specific data science tools or methodologies to further enhance their expertise and marketability in the job market.