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Study Computer Science

Become an adaptable thinker and prepare to meet the challenges of an ever-changing field. Define the future of computing with a Computer Science degree.

Program Snapshot

Undergraduate Bachelor of Science

Major

124

4 Years

Salem Campus

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Our Computer Science Major & Minor

Join a program that emphasizes community and collaboration, knowing that working together leads to innovation. Learn about computer systems and processes and build resilience for an ever-evolving field. Our computer science major will prepare you for a variety of career paths. 

Why choose Computer Science at Willamette?

  • Experience a holistic approach. Our Computer Science major encourages learning within other academic disciplines. Embrace outside-the-box thinking and problem-solving skills. 
  • Pursue research opportunities. Our computer science program emphasizes research. Students gain professional experience through courses and research by working closely with faculty. 
  • Benefit from small class sizes. By keeping class sizes small, we foster close bonds between students and faculty, allowing for personalized attention. 

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Alumni Stories

Our alumni have gone on to have thriving careers in a variety of roles from IT to web development. Computer science students graduate with the skills, creative thinking, and experience needed to excel in the workforce.

  • José Alvarado '13

    José Alvarado '13 is a software entrepreneur who is paying it forward
    Just three days after applying, José Alvarado BA’13 secured a job in San Francisco by leveraging his Willamette education, leadership roles, and real-world app development experience. Now, he has a successful career in software engineering, entrepreneurship, and teaching.

    Jose Alvarado standing next to a wall looking off camera.
  • A young person with long black hair smiling, wearing a maroon top and a silver necklace. Blurred indoor background.

    Saniya Lakka

    Willamette Grad Turns Degree into Nike Dream Job through internship connection.
    Saniya Lakka credits Willamette's professors and small class sizes for her successful transition from student to Nike machine learning engineer. Her internship at Nike, facilitated by the university, led to a master's degree and a fulfilling career.

Computer Science Faculty

Our faculty is made up of experienced computer scientists actively working in the field. They offer students expert advice and industry connections as well as one-on-one mentorship. Learn from our computer science professors and prepare for a successful career.

  • Meet Professor Cheng

    Dr. Huanan Cheng brings expertise in scientific computing and data science. She is dedicated to fostering a supportive learning environment where students explore practical applications of computer science, preparing them for successful careers in data-driven fields.

    Headshot of Dr. Huanan Cheng
  • Meet Professor Cordova

    Dr. Lucas Cordova is a seasoned software engineer turned educator. With a wealth of industry experience, he brings real-world insight to his teaching. His research spans various aspects of software engineering and computing pedagogy.

    Headshot of Dr. Lucas Cordova
  • Meet Professor Agbo

    Dr. Fred Agbo brings cutting-edge knowledge in areas like virtual reality, human-computer interaction, and game-based learning. Through his classes, students gain invaluable skills and insights from a passionate educator dedicated to interactive and engaging learning experiences.

    Headshot of Dr. Fred Agbo

Curriculum

Computer science courses give you a solid foundation in computer programming fundamentals. They also dive deep into specialized – and timely – topics. From software development and operating systems to programming languages, web development, and applications of artificial intelligence, you will learn how emerging technology integrates into daily life.

  • CS 370 Python for Data Science

    This course will introduce students to this rapidly growing field, including the understanding of basic concepts, techniques, and tools they need to solve practical problems arising in various fields. Students will experience the cycle of data obtaining, wrangling, curating, managing and processing, exploring, defining questions, performing analyses, and communicating the results.

  • CS 351 Analysis of Algorithms

    In this course, students will study methods to analyze algorithms for their correctness and run-time efficiency as well as general design and analysis techniques. Topics include: asymptotic analysis, searching and sorting algorithms, divide and conquer techniques, greedy algorithms, dynamic programming, graph algorithms, efficient data structures, and NP-completeness.

Program Requirements

Our Computer Science major requires 40 semester hours to complete the degree. Core courses make up 28 semester hours. Each student pursuing a major will be required to complete 4 semester hours in Mathematics, and 4 semester hours in Data Science.

Students pursuing a Computer Science minor will need to complete 20 semester hours in computer science, including CS 151, CS 152, and 12 semester hours of electives at any level chosen from classes with CS prefixes.

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Admissions Information

Our Computer Science program is open to first-year students, transfer students and international students. Learn more about Willamette’s undergraduate admissions process to get started.

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Financial Aid and Scholarships

Willamette University offers Computer Science majors generous merit scholarships and financial aid, with no separate application required; all admitted undergraduates are automatically considered for scholarships starting at $26,000 per year. Additionally, students can qualify for up to $10,000 annually through the NSF-supported STEM Fellows Program, which includes mentorship and additional opportunities, or the Fairweather Fellows program, available to those with a 3.0 GPA or higher, offering academic opportunities, a paid summer experience, and priority access to events and professional development.

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FAQs

Willamette University

Computer Science