Computational Science

The Computational Science track can be used to satisfy the track requirements of the CIS Major.

Tracks highlight areas of specialization within the department and guide student elective choices. Each track has an approved list of CIS courses, available from the computer science office or the department website. Tracks may also include recommended science and math courses; some include a minor in another field.

The Computational Science track prepares students to apply computational and mathematical techniques to the analysis and management of biological data. Course work in this track combines depth in applied and formal aspects of computer science with rigorous training in biology.

Faculty Advisor: Allen Malony.

104 credits total

CIS Core Requirements (80 credits) 80
CIS Track Requirements (24 credits)  
Complete the following course:
  • CIS 455 Computational Science
Complete 2 courses selected from the following:
  • CIS 413 Advanced Data Structures
  • CIS 443 User Interfaces
  • CIS 445 Modeling and Simulation
  • CIS 451 Database Processing
  • CIS 452 Database Issues
  • CIS 453 Data Mining
  • CIS 454 Bioinformatics
  • CIS 455 Computational Science
  • CIS 471 Introduction to Artificial Intelligence
Complete 8 additional upper-division CIS elective credits
  • Choose electives from CIS upper-division courses, including Individualized Study Courses.
  • CIS 399 and 410 must have regular class meetings, homework assignments and a prerequisite of 313 or higher.
Complete 4 upper-division math elective credits
  • Choose any upper division math course (300-level or higher) with a prerequisite of MATH 252 or higher, or CIS 413, 420, 427, 410 Cryptography, 473 Probabilistic Methods
  • CIS courses used to complete mathematics elective cannot be used toward upper-division CIS elective credits.
  • Recommended math: MATH 341, 342, 461, 462.
  • Recommended lab science: Biology