Computer and Data Sciences combines technical skills with the liberal arts to hone problem-solving skills that may be used in a wide array of settings. The interdisciplinary computer science major allows a student to craft a personalized approach to computer science, data science and the liberal arts by working with an academic adviser to select a sequence of courses from other disciplines to create innovative combinations of technical skills and liberal arts inquiry.

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Faculty

McKenzie Lamb

Lamb, McKenzie

Associate Professor of Mathematical Sciences

[email protected]

Isaac Sung Portrait

Sung, Changsok (preferred Isaac)

Assistant Professor of Computer and Data Science

[email protected]

Advising

Ripon College faculty and professional staff are dedicated to helping you reach your goals, whatever they may be and however often they may change along the way. It’s part of our value statement to you.

As a student at Ripon, you will be assigned a faculty adviser based on your area(s) of interest. You will meet with your faculty adviser throughout your time as a student to discuss your current aspirations, plan your course schedule and plot a future trajectory. We also work collaboratively with Ripon College Career and Professional Development to help match your interests and skills to concrete goals and construct a plan for professional success offering personalized career counseling, off-campus learning opportunities and an online job board with potential to connect with local, national and international employers. Our collaboration with Student Support Services provides tutoring and additional academic and skill development, as well as tools to help with note-taking, exam preparation, goal-setting and time management. Likewise, Mentors in the Franzen Center provide in-depth, one-on-one or group mentoring for students about class projects and college-level writing, and can share problem-solving strategies to overcome academic obstacles.

Advising at Ripon

Off-Campus Study

Studying off-campus, whether internationally or domestically in the United States, is an experience bound to change your view of the world. In general, full-time students in good academic standing are eligible to apply for admission to off-campus programs.

Learn more about Off-Campus Study

Requirements

44 credits that include:

  • CSC 101 Introduction to Programming
  • CSC 236 Data Analysis and Visualization
  • CSC 336 Data Structures and Algorithms
  • CSC 371 Artificial Intelligence and Applied Machine Learning
  • 4 credits in CSC
  • 20 credits in a defined field of study, approved by the student’s academic advisor and the Director of Computer and Data Sciences; these courses may be in a single department or multiple departments
  • Either a departmental seminar or Directed Study at the 500 level, in which a project is completed integrating computer and data science with the cognate discipline

Unique Opportunities

  • Skills in problem-solving, oral presentation writing and critical thinking are refined and developed in upper-level courses.