Joint Statistics and Computer Science M.S. Degree

This joint M.S. program consists of 30 credits - either ten courses, or eight courses with a 6-credit thesis. Students must form an advisory committee consisting of three faculty, with at least one member with a primary appointment in each department. The non-thesis option requires five courses from each department; specific requirements are outlined below. The thesis option requires the same courses, but replaces two electives (one from each department) with six credits of M.S. research, culminating in an oral defense with the advisory committee.

Course Requirements


1. At least one course from three of the following four groups: 2. Two electives: Any two other graduate statistics courses, excluding STAT 50100/50200/50300/51100/51200.

Computer Science

1. At least one of the following theory qualifier courses:
  • CS 58000 Algorithm Design, Analysis, and Implementation
  • CS 58400 Theory of Computation and Computational Complexity
2. At least one of the following systems qualifier courses: 3. At least one of the following statistical CS qualifier courses: 4. At least one additional statistical CS course: 5.One elective: Any other graduate CS course, excluding CS 50100.

Communication Requirement

All students enrolled in the joint Statistics and CS Masters program must demonstrate effectiveness in communication. For students using the thesis option, this will be assessed in the normal course of their program. For students using the non-thesis option, if the assessment cannot be made on the basis of presentations and papers in courses, the student must write a technical essay at the beginning of the final semester. The chair of the Graduate Committee evaluates the essay.