Skip to content Skip to navigation



The Math & Comp Sci honors program encourages intensive study in an area of mathematical science in addition to meeting the requirements for the major.

The honors program is designed to encourage a more intensive study of mathematical sciences than the B.S. program.

In addition to meeting all requirements for the B.S., the student must:

  1. Maintain an average letter grade equivalent to at least a 3.5 in all academic work. 
  2. Complete at least 15 units in mathematical sciences in addition to the requirements for the major. These 15 units must include at least one of the following:
    • An approved higher-level graduate course
    • Participation in a small group seminar
    • At least 3 units of directed reading
  3. Prepare a statement describing the major area of concentration for honors work. 
  4. Describe how each course selected adds to the student’s knowledge and understanding in the chosen area of concentration. 
  5. Students interested in honors should consult with their adviser no later than spring quarter of their junior year to prepare their program of study. Honors work may be concentrated in fields such as biological sciences, environment, physics, etc.
  6. Suggested electives for students pursuing Honors: EE 364, CME 206, CS 229, CS 248, Math 171, MATH 172, STATS 202, STATS 216, STATS 217.

Declaring honors

If you want to declare departmental honors, log on to Axess, click "Declare Major/Minor" and choose MCS-Honors. 

Note: Departmental honors must be declared and approved no later than the application to graduate deadline for the term in which the student intends to graduate.

Honors approval form

Previous honors student work includes concentrations in

  • CS theory, especially different types of algorithms and algorithmic paradigms
  • detecting the difference between human and non-human responses in game-theory type games
  • demonstrating Bayesian models and networks potential in a legal analysis context to evaluate real-world applicability of Bayesian networks to criminal law and civil litigation
  • analyzing phylogenetic trees of bacterial data

Example 1:

Statistical Methods in Social Science

In my honors program I explored the use of statistical methodology in problems in social science. In doing so I sought to apply the quantitative and computational tools I developed in the core classes of the MCS curriculum to problems of social significance. As part of my program, I crossed departmental borders to gain subject-area knowledge of issues in education and sociology while deepening my skills in statistical analysis in particular areas relevant to these fields. I approached the program as a preparation for doctoral study in statistics with an emphasis on application in social science and public policy. (Educ 316; Educ 351A; Stats 209; Stats 305)

Example 2:

Virtual Worlds:  A New Frontier in Law & Economics

For the past three years, I have conducted several multidisciplinary studies that bring together elements of law and quantitative finance, which thus far have been utilized in my works on virtual worlds, a new frontier in both law and economics. Below are the summaries:

  • Yang, R. 2012. The Personal and Economic Utility of Virtual World Bots: A Defense for Fair Use. Arizona State Sports and Entertainment Law Journal. Vol. 2, Issue 2
  • Yang, R. 2013Could the Virtual Be Similar to the Real? A First Look from an Efficient Markets Perspective.Quarterly Journal of Finance, Vol. 3, Issue 4
  • Yang, R. 2013. When is BitCoin a Security Under U.S. Securities Law? Journal of Technology Law and Policy. Vol. 18, Issue 2