MS Concentration in Applied Statistics
The Applied MS in Statistics is intended for students pursuing doctoral degrees in other fields who wish to enhance their statistical knowledge and credentials by obtaining a degree in Statistics in addition to their primary field of study. Admission to this program requires that you have been admitted for PhD studies in another field at the University of Illinois.
A total of nine courses, constituting 36 graduate credit hours, are required for the Applied MS degree with specialization. At least 12 credit hours must be taken at the 500 level. Students wishing information beyond that provided here should contact the Director of Graduate Studies in Statistics.
During your course of study for the Applied MS in Statistics you must transfer temporarily to the Department of Statistics for at least one semester. After satisfying this requirement you then transfer back to your primary degree program.
Fall applications for Spring admission are accepted until September 15. Transfers shall be completed during the application process for the spring semester.
Submitting Application Material
The University of Illinois uses the "Slate" online application system. To use this system, follow the directions at http://www.grad.uiuc.edu/admissions/apply/.
There is a nonrefundable application fee. Please see the Graduate Application Instructions for current application fees for domestic and international applicants.
The Department of Statistics requires applicants to supply Graduate Record Examination (GRE) scores for the GRE General Test in order to be considered. The GRE Subject Test in Mathematics is not required but is very helpful.
Applicants should be prepared to provide all current and previous unofficial transcripts as well as GRE test scores through the application system for consideration. For review purposes, the Department will only need the unofficial reports attached to your application. Though the Department prefers new letters of recommendations, letters previously submitted to your current degree program can be re-used, however they must still be submitted by the recommender through the application system.
If admitted to the program you will be contacted by the Graduate Program Coordinator with detailed instructions on the petition process and what needs to be included with the petition to the Graduate College.
The prerequisites for the program include calculus through multivariable calculus, linear algebra equivalent to MATH 415, and an introduction to mathematical statistics and probability equivalent to STAT 400.
Curriculum Requirements in Statistics
4 courses / 16 credit hours
- STAT 410 (Statistics & Probability II)
- STAT 425 (Applied Regression and Design)
- Simultaneous enrollment in a PhD program that uses statistics.
- Two additional Statistics course(s) not already used to fulfill a requirement:
Eligible courses include STAT 424, 426, 427, 428, 429, 430, 431, 432, 433, 434, 440, 443, 448, 458, 466, 480, 510, 511, 525, 530, 534, 538, 542, 545, 546, 551, 552, 553, 554, 555, 558, 571, 575, 578, 587 and 588.
Course Requirements in Primary Field of Study
5 courses / 20 credit hours
In addition to the core Statistics courses selected above, 5 additional graduate courses equaling 20 credit hours must be completed in your primary field in an area relevant to the field of Statistics. The approved primary field of study courses are as follows: ANSC 445, ANSC 542, ANSC 545, BADM 575, BIOE 505, BIOE 540, CHLH 527, CHLH 578, CPSC 444, CPSC 541, CS 411, CS 412, CS 440, CS 446, CS 450, CS 457, CS 512, CS547, ECE 513, ECE 534, ECE 543, ECE 549, ECE 563. GE 550, ECON 504, ECON 532, ECON 535, ECON 536, ECON 574, ECON 575, ECON 576, ECON 577, EPSY 574, EPSY 584, EPSY 585, EPSY 586, EPSY 589, GEOG 570, HDFS 597 (previously HDFS 592), IE 400, IE 410, IE 413, IE 431, IE 515, IE 521, IE 522, IE 525, IE 526, IE 528, IE 529, IE 530, IE 531, IE 532, IE 533, IE 534, INFO 490, LIS 542, MATH 471, MATH 472, MATH 476, MATH 478, MATH 479, MATH 565, MATH 567, MATH 568, MATH 569, NRES 593, PATH 528, PATH 560, PATH 591, PS 532, PSYC 594, SOC 488, SOC 581, SOC 582, SOC 584