Computer Science (BS in Computer Science)

Required Credit Hours: 36 - 37*

*depending on credits awarded for CSCI 141.

Major Writing Requirement:

Satisfied with successful completion of the major core requirements.

Core Requirements:

CSCI 141 - Introduction to Programming Credits: (4)
CSCI 241 - Data Structures Credits: (3)
CSCI 243 - Discrete Structures of Computer Science Credits: (3)
CSCI 301 - Software Development Credits: (3)
CSCI 303 - Algorithms Credits: (3)
CSCI 304 - Computer Organization Credits: (3)
CSCI 312 - Principles of Programming Languages Credits: (3)
CSCI 423 - Finite Automata and Theory of Computation Credits: (3)
Proficiency in:
MATH 111 - Calculus I Credits: (4) or MATH 131 - Calculus I for Life Sciences Credits: (4)
MATH 112 - Calculus II Credits: (4) or MATH 132 - Calculus II for Life Sciences Credits: (4)
MATH 211 - Linear Algebra Credits: (3)
Option:
MATH 214 may be substituted for CSCI 243 .

Concentration Requirement

Students are required to select a concentration at time of major declaration. The concentration requirement must be satisfied by completing one of the following options:

General

The General track through the Computer Science B.S. curriculum is intended to give students a broad overview of topics in Computer Science and to prepare them for a career in any of its subfields.

Additional Credits

Any 12 credits chosen from 300-400 level computer science courses excluding CSCI 320 , CSCI 430 and CSCI 498 .
MATH 413 Introduction to Numerical Analysis I

and/or

MATH 414 Introduction to Numerical Analysis II

Artificial Intelligence/Machine Learning

The Artificial Intelligence / Machine Learning (AI/ML) track through the Computer Science B.S. curriculum focuses on material related to Artificial Intelligence, Machine Learning, and Big Data.

Proficiency in

MATH 351 - Probability and Statistics for Scientists (3) or

MATH 451 - Probability (3)

Additional Credits

12 credits chosen from:

CSCI 416 - Fundamentals of Artificial Intelligence / Machine Learning Credits: (3)
CSCI 421 - Database Systems Credits: (3)
CSCI 436 - Data Mining Credits: (3)
CSCI 446 - Neural Networks for Machine Learning Credits: (3)
CSCI 455 - Generative Artificial Intelligence for Software Development Credits: (3)
CSCI 456 - Large Language Models Credits: (3)
DATA 441 - Advanced Applications of AI Credits: (3)
In addition, select CSCI 420 Special Topics courses may be eligible if they contain sufficient material related to the concentration as determined by the Undergraduate Director of Computer Science.

Cybersecurity

The Cybersecurity track through the Computer Science B.S. curriculum focuses on material related to Security, Systems, and Networks.

Required Courses

CSCI 444 - Principles of Operating Systems Credits: (3)
CSCI 454 - Computer and Network Security Credits: (3)
CSCI 464 - Applied Cybersecurity Credits: (3)

Additional Credits

3 credits chosen from:

CSCI 415 - Systems Programming Credits: (3)
CSCI 434 - Network Systems and Design Credits: (3)
CSCI 445 - Mobile Application Security Credits: (3)

Additional Information:

Students who intend to major in computer science are encouraged to have completed CSCI 141 , CSCI 241 , either CSCI 243 or MATH 214 , and a required 300 level computer science course by the end of their sophomore year. Proficiency in MATH 111 (or MATH 131 ), MATH 112 (or MATH 132 ) and MATH 211 should also be completed by that time. At least half of the required minimum number of courses for the CS major must be taken at W&M and for all classes at the 300 and 400 level taken elsewhere, a total of at most two courses can count towards the CS major.