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Courses & Prelims

Master's Courses |  Master's Prelims |  Ph.D. Courses |  Ph.D. Prelims

The Master's Degree

Be sure to read the departmental page on the Master's degree program first. Also check out the Graduate School's Policies & Procedures for Master's and Doctoral Degrees web site.

Possible Curricula for the Master's Program

Full-time (supported) graduate students should enroll in 10 credits per quarter (not including summer). In general 2 credits will come from your RA or TA and 1 credit will come from the required seminar course (590).

Here are suggestions for filling up the remaining 7 credits and completing the M.S. requirements. These suggestions are based on what previous students have done.

First Year Second Year
Course Fall Winter Spring Course Fall Winter Spring
1 Stat 512 Stat 513 ? 1 Sequence 1
2 Stat 502 Stat 504 ? 2 ?? ?? ??
3 Math 424 Math 425 Math 426 3 ?? ?? ??
  • Possibilities for filling in the first year gaps (?) include:
    • Stat 533 (linear models),
    • Stat 534 (computing),
    • Stat 542/574 (multivariate statistics),
    • Stat 544 (Bayesian methods),
    • Stat 598 (consulting lecture),
    • Stat 599 (consulting) or
    • other 500 level Stat or Biostat classes.
  • Possibilities for filling in the second year gaps (??) include:
    • Stat 533 (linear models),
    • Stat 534 (computing),
    • Stat 542/574 (multivariate statistics),
    • Stat 544 (Bayesian methods),
    • Stat 579 (data analysis),
    • Stat 598 (consulting lecture),
    • Stat 599 (consulting),
    • other 500 level Stat or Biostat classes, or
    • Stat 519-20 (time series).
  • You must do one quarter of consulting (599) in either the first or second years. You must attend the lectures (598) either before taking 599 or concurrently with 599.
  • All Master's track students candidates must demonstrate proficiency in statistical computing. This is typically satisfied by satisfactory completion of Stat 534.

Master's Prelims

There are two masters exams, the applied and theory. The theory corresponds with the content of 512-513 and the applied to the content of 502-504 and 570-571-572.

Exams are held during summer quarter. The theory exam must be taken at the end of the first year (in June, following completion of 512-513).

A thesis can be done instead of the applied exam. (The thesis will also count towards your credits).

The Ph.D. Program

Be sure to read the departmental page on the Ph.D. program first. Also check out the Graduate School's Policies & Procedures for Master's and Doctoral Degrees web site.

Possible Curricula for the Ph.D. Program

Full-time (supported) graduate students should enroll in 10 credits per quarter (not including summer). In general 2 credits will come from your RA or TA and 1 credit from the required seminar course (590).

Here are suggestions for filling up the remaining 7 credits and completing the Ph.D. requirements. These suggestions are based on what previous students have done. If you are planning on doing the Ph.D. tracks in statistical genetics or statistics in the social sciences or machine learning and big data , then you will have different requirements so the following will be only a rough guide.

The table below can help you plan your first years in the PhD program.

Fall Winter Spring
512 513 559 measure theory (preparation for 580)
502 504 534 computing (preparation for 570)
570 571 Methods/applied
516 517 Stochastic processes
535 538 548 Learning/Big data
521 522 523 Probability
581 582 583 Theory

If you come without a Master's degree, then a simple plan is to take the green (introductory) classes in your first year, and the Methods sequence + Theory sequence in the second year.

You can add to these one of the blue sequences or another elective as a third class in either year.

If you are prepared (discuss this with the respective instructors!), you can skip any of the green classes and go directly into the blue or black ones.

More advice

  • If you are in one of the special tracks, try to take the track specific classes as early as you are ready to do so.
  • Take 572 after you have taken *at least one blue 2 course sequence* (note: see the MLBD track for more details about the Learning/Big data sequence)
  • Take 599 after the Methods classes
  • The MS Theory exam is taken usually in June, the year you take the 512-513 (your first year)

Again, these are rough guidelines, not hard-and-fast rules. Some people take less time, some take more. The department now has a formal document explaining their definition of "normal progress"; you should reread this document from time to time, and talk to your advisor if you feel you are "behind schedule".

Ph.D. Prelims