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In today’s world, more than ever, CS is used in the service of all diversity of disciplines from the arts and humanities to science and engineering. Being proficient in computer science can help students to excel in the discipline that most interests them.

Students who wish to develop competency in Computer Science, but are majoring in a different discipline may wish to pursue a CS Minor. The CS minor is 6 courses subject to particular constraints as detailed below.

The CS minor requires completing CS 149, CS 159, and four additional CS courses (excluding CS 260 and CS 280). One of the four courses must include CS 240*, CS 261, or CS 345. Select courses that are appropriate for your goals.

*CS 240 requires a calculus prerequisite (MATH 231 or equivalent) that does not count toward the CS minor. 

To discuss any details, schedule a meeting with our CS Advisor, Paige Normand.

The following are a few suggested tracks for the minor:

Full Stack Web Development

Recommended for majors: Media Arts, Business, Biology, Chemistry, ISAT

This sequence includes an introduction to the software engineering practices that are used by professional developers, along with practical courses focused on building websites and databases. This group of courses would be good for students wanting to focus on practical software development skills that many employers are seeking.

Courses: CS 343, CS 345, CS 347, CS 374

Human-Centered Computing

Recommended for majors: Media Arts, ISAT, Humanities, Social Sciences, Business, Psychology

This sequence emphasizes the interaction between humans and computing systems. In addition to building technical programming skills, these courses examine how computing impacts society and how we design applications that are easy to use by non-technical users.

Courses: CS 343, CS 330, CS 345, CS 447 [optional: CS 347]

AI and Robotics

Recommended for majors: Physics, Engineering, ISAT, Philosophy

This sequence focuses on how to build autonomous robots and software that can automate decision making. These courses begin with the mathematical foundation for studying algorithms, which is necessary for evaluating what can and cannot be done with AI. It is also recommended that students take CS 330, which includes a discussion of the ethical implications of AI and automated decision-making.

Courses: CS/MATH 227, CS 240, CS 354, CS 444, [recommended: CS 330]

Mathematics and Algorithms

Recommended for majors: Mathematics, Physics, Engineering, Economics, Philosophy

This sequence focuses on the core mathematical foundations of CS, providing the tools for analyzing the efficiency of algorithms that are used to solve common problems. These courses also explore problems that are inherently difficult--if not impossible--to solve with a computer.

Courses: CS/MATH 227, CS 240, CS 327, and either CS 412 or CS 442

Hardware and Computer Systems

Recommended for majors: Physics, Engineering, ISAT

This sequence examines the core foundations of the overall field of CS. After building a solid understanding of software and algorithms, these courses also examine how that software gets translated into the electrical machine language that controls the computer. The optional CS 361 course would extend this to study how to build software that performs multiple tasks in parallel, including high-performance scientific computing, web servers, peer-to-peer file sharing, etc.

Courses: CS 101, CS/MATH 227, CS 240, CS 261, [optional: CS 361]

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