Last update: 11/28/2007
Statistics, the art and science of analyzing data, is about being quantitatively literate. The master's program
in statistics at the University of Chicago is an exciting combination of a professional degree, a liberal education,
and, for those who wish, a preparation for doctoral study in any field in which statistics is heavily used. It
is possible to pursue either statistics as such, or in combination with any of the main areas where statistics
is applied. For students with the appropriate background, the program can be completed in one academic year.*
Part-time study is also possible, both as a degree candidate and as a graduate student at large in a nondegree
There are a number of areas of specialization possible within the program. Some of these include:
- Data Analysis
- Mathematical Statistics
- Statistical Genetics
- Statistics and Finance
- Computer Vision
- One can also tailor-make tracks to suit special interests or needs.
Theoretical and Applied Excellence
The diversity of the program reflects the interdisciplinary orientation of nearly all our faculty. The fields
mentioned above are all represented by active researchers in the department, as are other areas such as statistical
computing, environmental statistics and the history of statistics.
What makes the University of Chicago program special is our unique blend of theoretical excellence and true
appreciation for the subjects in which our field is applied. We educate our students to the same high standards.
The program has several constituent parts, which go together to form a comprehensive quantitative education.
The program includes:
- Courses in theoretical and applied statistics that provide a broad knowledge and understanding of statistical
methods and their practical use.
- Consulting experience: the department runs a consulting service for researchers in other departments in the
University. You get to be the consultant, working as the quantitative expert to solve important research problems
of our day. Typically, two graduate students work together under the supervision of a faculty member.
- Exposure to the cutting edge of the field through seminars and special courses.
- A chance to study a problem in depth through a master's paper on a subject chosen by you together with your
- Training in presentation: all master's students give a short seminar to the department midway through the
year, and a long seminar on their master's paper at the completion of the program. Students are also expected
to participate actively in courses and seminars.
The Special Tracks
In the following, we give a synopsis of some of the possible areas of specialization.
For more information about our course offerings:
* By the appropriate background, we mean advanced calculus and linear algebra, a year of calculus-based
probability and statistics and familiarity with some statistical data analysis. Students missing part of this
background can and do gain admission to the program but should not expect to be able to complete the program in
one academic year.