Requirements

Computer Science Major

Students majoring in computer science must complete the four courses in the core sequence (CSCI 2100 or CSCI 2101; CSCI 2102; CSCI 2200; and CSCI 2330), five additional electives 2000-level or above and one mathematics course 1300-level or above. The electives must satisfy the following distribution requirements: at least one in theory, at least one in systems, at least one in artificial intelligence, at least one projects course, and at least two 3000-level courses. An elective course may be used to satisfy multiple requirements (for e.g. CSCI 3325 Distributed Systems checks 3000-level, projects and systems). Each of the courses required for the major must be taken for a regular letter grade (not Credit/D/Fail) with a minimum earned grade of C-. Independent Studies and Honors Projects do not count towards the required courses for the major. Students who place in CSCI 1101 must take CSCI 1101 before starting the core sequence.

Core Courses4
CSCI 2100
Accelerated Data Structures and Advanced Programming I
or CSCI 2101
Data Structures and Advanced Programming I
CSCI 2102
Data Structures and Advanced Programming II
CSCI 2200
Algorithms
CSCI 2330
Foundations of Computer Systems
Elective Courses in Algorithms/Theory b1
CSCI 2210
Theory of Computation
CSCI 3210
Computational Game Theory
CSCI 3225
Algorithms for GIS
CSCI 3240
Computational Complexity Theory
CSCI 3250
Computational Geometry
CSCI 3260
Quantum Computation
Elective Courses in Artificial Intelligence b1
CSCI 2400
Artificial Intelligence
CSCI 3220
Logic in Computer Science
CSCI 3400
Cognitive Architecture
CSCI 3465
Financial Machine Learning
CSCI 3725
Computational Creativity
CSCI 3485
Deep Learning for Computer Vision
Elective Courses in Systems b1
CSCI 2320
Principles of Programming Languages
CSCI 2335
Software Engineering
CSCI 3310
Operating Systems
CSCI 3325
Distributed Systems
CSCI 3330
Cybersecurity
Elective Courses that fulfill the "projects" requirement b1
CSCI 2715
Human-Computer Interaction
CSCI 3225
Algorithms for GIS
CSCI 3325
Distributed Systems
CSCI 3465
Financial Machine Learning
CSCI 3485
Deep Learning for Computer Vision
CSCI 3725
Computational Creativity
Other Elective Courses b1
CSCI 2350
Social and Economic Networks
CSCI 2510
Creating Future Worlds: Computing, Ethics, and Society
CSCI 2715
Human-Computer Interaction
Mathematics Requirement1
Select one mathematics course number 1300 or higher
 
a

Students with a placement in CSCI 2101 Data Structures and Advanced Programming I are exempt from taking CSCI 1101 Introduction to Computer Science or CSCI 1103 Accelerated Introduction to Computer Science

b

At least two of these courses must be at the 3000-level

Computer Science Minor

 
The minor in computer science consists of CSCI 2100 Accelerated Data Structures and Advanced Programming I or CSCI 2101 Data Structures and Advanced Programming I, and (at least) three additional courses, numbered 2000 or higher. Independent studies in computer science cannot count toward the minor.

Interdisciplinary Major

The department participates in an interdisciplinary major program in computer science and mathematics. See the Interdisciplinary Majors.

Additional Information and Department Policies

  • Students interested in majoring in computer science must complete CSCI 2102 Data Structures and Advanced Programming II with a letter grade of C- or better by the end of their sophomore year. Prospective majors are also encouraged to satisfy their mathematics requirement as early as possible (ideally in their first two years).
  • Each of the courses required for the major or minor must be taken for a regular letter grade (not Credit/D/Fail) with a minimum earned grade of C-.

  • For all CSCI courses, a grade of C- or better must be earned in the course for it to serve as a prerequisite for another computer science course.

  • Independent Studies and Honors Projects do not count towards the required courses for the major.

  • At most two of the ten computer science courses required for the major, or one of the four computer science courses required for the minor, can be transfer credit from other institutions. Transfer credit cannot be used to fulfill the 3000-level requirement.

  • Beyond the one course allowed by college policy, majors and minors may not double-count any courses with another department or program. 

  • Advanced Placement and International Baccalaureate scores, in addition to the computer science placement survey, are only used for placement.

  • Students—particularly those who intend to do graduate work in computer science—are encouraged to collaborate with faculty on research projects through independent studies, honors projects, and fellowship-funded summer research.

Information for Incoming Students

Students interested in computer science start with one of two courses, based on the computer science and mathematics placement surveys:

CSCI 1101 Introduction to Computer Science  is the entry point for students with no prior background in computer science. It is an introduction to programming, computational thinking and problem solving using the Python programming language. 

CSCI 2100 Accelerated Data Structures and Advanced Programming I is the standard entry point for students with sufficient background in computer science that includes knowledge of Java (e.g. from AP classes). CSCI 2100 begins with an accelerated introduction to Python (which is used in the upper level AI electives), followed by the standard data structures and Java curriculum from CSCI 2101.

CSCI 2101 Data Structures and Advanced Programming I  covers the standard data structures and Java curriculum, but assumes existing familiarity with Python (such as from taking CSCI 1101) rather than any Java background, and therefore starts with an introduction to Java before continuing into the standard data structures curriculum.  Incoming students with sufficient prior background in Python may be placed into CSCI 2101 rather than CSCI 2100.

Depending on your starting point, there are three usual pathways into the computer science curriculum (up through CSCI 2102 Data Structures and Advanced Programming II):
• For students with no prior experience or those placed into CSCI 1101: CSCI 1101 --> CSCI 2101 --> CSCI 2102
• For students placed into CSCI 2100: CSCI 2100 --> CSCI 2102
• For students placed into CSCI 2101: CSCI 2101 --> CSCI 2102

Placements are binding and may not be overridden without permission of the department.  Prior knowledge of computer science is used for placement only and does not count as credit towards the major.

Students with a placement of CSCI 2100 Accelerated Data Structures and Advanced Programming I should note that this course is normally offered only in the fall; CSCI 1101 Introduction to Computer Science  and CSCI 2101 Data Structures and Advanced Programming I are offered every semester.

Students are strongly encouraged to take their first computer science course during their first year, and students who intend to pursue a computer science major are required to complete CSCI 2102 Data Structures and Advanced Programming II with a letter grade of C- or above by the end of their sophomore year.

Questions about your CSCI placement, or requests to enroll in a course other than what is indicated by your placement, should be directed to csci_placement@bowdoin.edu.

Math placements: 

  • Students with a placement of of MATH 1050 Quantitative Reasoning should complete MATH 1050 Quantitative Reasoning before taking a computer science course.
  • Students with a placement of MATH 1600 Differential Calculus should complete MATH 1600 Differential Calculus before taking CSCI 2100 Accelerated Data Structures and Advanced Programming I  or CSCI 2101 Data Structures and Advanced Programming I.

This is an excerpt from the official Bowdoin College Catalogue and Academic Handbook. View the Catalogue