Computing is a discipline that requires and develops capabilities in solving deep, multidimensional problems requiring imagination and sensitivity to a variety of concerns. A major in computer science will provide you with a foundation of knowledge, problem solving skills and habits of logical thinking that will serve as a competitive advantage to you in whatever career you pursue.


If you want to make a positive difference in the world, study computing. Computing drives innovation in the sciences (such as the human genome project, AIDS vaccine research, environmental monitoring and protection, just to mention a few), and also in engineering, business, entertainment and education.

A Multiple Entry Major

Our first class assumes no previous programming experience. We'll help you develop the skills you need to succeed in computer science. Students with excellent preparation in AP or college-level classes will head straight into advanced classes. If you have a non-traditional background, we'll evaluate and place you based on your problem solving and programming skills.

A Liberal Arts Major

Computer science is a discipline that contributes to the success of many other disciplines. Our CS major recognizes this fact and offers classes that combine computer science with other fields of study. We'll encourage you to combine your interests in computer science with other fields, such as business, science, art, and mathematics, through minors, majors, and independent studies.

A Confident Major

Every CS major completes a semester-long project. If you're the driven type, you'll find a wealth of additional ways to stand out. You can take paid summer internships, join faculty research projects or work on campus in technology-related fields.

Whether you want to go to graduate school or find employment in industry, admission counselors and potential employers are always impressed by students who have accomplished something unique and challenging before they graduate. While all college graduates will have similar lists of courses on their transcripts, you will be the only one to have completed your unique project and opportunities.

What do computer science majors study?

  • Fundamentals of computer science
  • Data structures
  • Problem solving
  • Algorithmic analysis
  • And other topics that interest you, from programming languages to computer networks to artificial intelligence

Computer science placements

Previous graduates' career and professional placements have included:

  • Motorola
  • Synergy International Consulting
  • TDC Solutions
  • Lockheed Martin
  • IBM
  • Google

Graduate school placements have included:

  • University of Southern California
  • University of Illinois
  • University of Indianapolis
  • University of Notre Dame
  • Tufts University


CS 112
Computer Science Principles
Introduction to the "big ideas" of computer science: creativity, abstraction, data and information, algorithms, programming, and the internet. Students will develop their communication, teamwork, and problem-solving skills. Includes an exploration of the global impacts of computing. Not open to students with prior credit in 220 or the equivalent. Does not count toward the major or minor. Partially satisfies the SM CCR. Fee charged.
CS 210
Scientific Modeling
Computer Science is one of the most versatile tools for scientists. This course will use real science problems from physical and biological sciences to teach students how to build computational models to explain these problems. Focus is on the use of modeling as part of the scientific process to lead to further discovery. A working knowledge of mathematics and science is expected. Offered alternate years.
CS 218
Survey of Data Science
A survey of the main techniques and applications foundational to Data Science, including the "data science process", naive Bayes and other classifiers, regression analysis, and the use of separate data sets for the training, validation, and testing of possible predictive relationships. Emphasis on case studies and concrete examples. Prerequisite: Mat217 or Eco257.
CS 220
Fundamentals of Computer Science
An introduction to problem-solving, program design, testing methodology and structure of programming languages. Students will learn to program in a high-level programming language to solve problems from a wide range of computer science topics. Partially satisfies the SM CCR. Includes lab Fee charged.
CS 223
Data Structures
A study of the implementation and evaluation of advanced data structures. Data structures include linked lists, stacks, queues, trees, graphs and tables with the use of recursive algorithms to perform operations. Includes lab. Prerequisites: 220. Partially satisfies the SM CCR. Fee Charged.
CS 225
Algorithmic Analysis
A systematic study of creating and evaluating algorithms, the process of solving problems. Brute force, divide-and-conquer, and problem transformation techniques are used to solve problems. Big Theta notation, best-average- worse case analysis, and notions of NP completeness are used to evaluate problems. Recommended by end of junior year. Prerequisites: 220 and one of Mat 243 or Mat 220. Lab fee.
CS 229
Data Wrangling and Management
An overview of the fundamental principles and techniques related to the collection, storage and management of information; SQL/NoSQL fundamentals; data scraping, querying and aggregation; data manipulation and analysis. Not open to students with prior credit in 328. Prerequisite: 220.
CS 231
System Fundamentals
Fundamentals of the hardware and software infrastructure upon which applications are constructed, including data representations, Boolean algebra and digital logic, assemblers and I/O implementation, instruction sets, memory organization, system performance evaluation and benchmarks. Includes an introduction to system software, parallel and distributed architectures, and computer networking. Prerequisites: 220; MAT 101, MAT 113, MAT 121 (or above), placement at the Ready for Precalculus level or above, or concurrent enrollment in MAT 101. Not open to students with previous credit for CS 234.
CS 233
Introduction to Robotics
Introduction to robotics and topics in artificial intelligence relevant to robotics through a combination of lectures and labs. Lectures introduce concepts, such as paradigms for organizing intelligence in robots and different sensing techniques. In labs, students learn an open-source robotics platform, such as Arduino, with the goal of building a working reactive robot by the end of the course. Offered alternate years. Prerequisite: 223. Fee Charged.
CS 320
Topics in Software Development
Introduction to the various facets of software development such as modular programming, design patterns, source code version control, test-driven development and documentation. Prerequisite: CS 223. May be repeated for credit with permission of the instructor.
CS 321
Software Development Practicum
An exploration of practices and skills essential to software development: object-oriented-programming fundamentals; class design principles; design patterns; user stories; agile development; test-driven development; coding practices. Students will employ what they learn in the development and delivery of a high-quality software product. Includes lab. Prerequisite: 223.
CS 323
Mobile Application Development
Introduction to developing apps for Android mobile devices. Includes general development topics such as modular programming, design patterns,version control, automated testing, and documentation. Android-specific topics include: activities, fragments, and layouts; app navigation; life-cycle methods; connecting to databases; using built-in services. Prerequisite: 223.
CS 325
Web Application Development
Introduction to the various facets of developing web applications, with an emphasis on software development concepts including modularprogramming, automated testing, documentation, and version control. Other topics include: user interaction, code modularity, and business logic via Javascript; page formatting via HTML templates and CSS; asynchronous client-server communication. Prerequisite: 223.
CS 326
Functional Programming
Introduction to the principles of functional programming, including higher-order functions, recursive definitions, list processing, and pattern matching. Offered alternate years. Prerequisite: CS 223.
CS 327
Advanced Software Development
Exploration of advanced topics in software development and delivery, including advanced design patterns, acceptance testing, software configuration, release management and continuous integration and delivery. Includes the completion and delivery of a high-quality software product. Prerequisite: 321.
CS 328
Data Management and Web Services
An overview of the fundamental principles and techniques related to the collection, storage, management, and delivery of information: SQL/NoSQL fundamentals; data scraping, querying and aggregation; transport protocols; web services. Not opent to students with prior credit in 229. Prequisite: 223
CS 329
Database with Web Applications
Introduction to fundamental concepts of database management systems, including database design, data definition languages, data manipulation languages, and database system implementation. Particular emphasis will be placed on implementation of web-based applications that make use of databases. Offered alternate years. Prerequisite: 223.
CS 335
Theory of Computation
A mathematical investigation of the fundamental capabilities and limitations of computers. Finite automata, Turing machines, regular and context-free languages, computability and solvability, the halting problem, Church's thesis. Offered alternate years. Prerequisite: 225.
CS 340
Computer Networks
A study of modern communication systems, predominantly the Internet. Topics include: the client-server paradigm, use of existing protocols, creationof new protocols, P2P applications, routing algorithms, distributed sharing of resources and communicating in the face of unreliable networks. Offered alternate years. Prerequisite: 223 and 231.
CS 345
Operating Systems
Theory of operating systems, including memory management, concurrent processes, scheduling algorithms, device drivers, and file systems. Offered alternate years. Prerequisite: 223 or 234 (preferably both).
CS 348
Artificial Intelligence
Knowledge representation, natural language processing, models of reasoning and learning, heuristic search methods, connectionism, and robotics. Offered alternate years. Prerequisite: 223 and 225.
CS 461
Senior Seminar
Seminar course in which students are aided in developing, writing, presenting,and managing an individual software or research project. Students present their project proposals in both written and oral form. Good software development practices, such as version control, and soft skills, suchas effective communication, are emphasized. Prerequisite: senior standing; computer science major; and 223. Satisfies the W2 ACE.