Informatics, PhD

for the degree of Doctor of Philosophy in Informatics

informatics website:

informatics faculty affiliates:

overview of school admissions & requirements:

overview of grad college admissions & requirements:

on-campus contact: Karin Readel, Senior Education Coordinator, Informatics,

phone: (217)-244-1220

Programs in Informatics

Undergraduate Minor

Informatics Minor

Graduate Majors

Bioinformatics, MS

Animal Sciences Concentration
Bioengineering Concentration
Chemical & Biomolecular Engineering Concentration
Computer Science Concentration
Crop Science Concentration
Information Sciences Concentration

Informatics, PhD

The Chair of the Governing Committee of the Informatics Ph.D. Program will appoint the supervising committee to approve each student's program of study, which will be called the Advisory Committee (first half of studies) and then the Dissertation Committee (second half of studies). The membership of these committees should remain constant for each half of the student's studies, except in unusual circumstances, but may change when it is constituted for the dissertation. In any case, changes to the supervising committees must be approved by the Chair of the Governing Committee. The supervising committee must contain faculty with expertise in both the Applications area and the Foundations area chosen by the student, including at least four faculty members affiliated with the Informatics Program. The supervising committee will provide each student with a review of his or her progress in the spring of each academic year.


The admissions process will consist of a formal application, specifying experiences, courses, interests, and letters of recommendation. The Informatics PhD Program will admit graduate students who are approved by the Governing committee in conjunction with representatives of the Areas. With the approval of the appropriate committees, students may be admitted to the program with only a Bachelor's degree. They will work with their Advisory Committee to define appropriate courses to fulfill the 32 hours of Masters-level work. If they wish to receive a Masters degree, they will need to apply to a relevant department and meet the department's existing Masters degree requirements. If they already hold a Masters degree approved by the IPP Governing Committee, they will receive graduate credit for 32 hours. All applicants whose native language is not English must provide evidence of English proficiency as required by the Graduate College for admission.

Financial Aid

Fellowships, research assistantships, and teaching assistantships (all of which include tuition and partial fee waivers) are awarded on a competitive basis. All applicants, regardless of U.S. citizenship, whose native language is not English and who wish to be considered for teaching assistantships must demonstrate spoken English language proficiency by achieving a minimum score of 24 on the speaking subsection of the TOEFL iBT, or 8 on the speaking subsection of the IELTS. For students who are unable to take the iBT or IELTS, a minimum score of 4CP (conditional pass) must be earned on the English Proficiency Interview test offered on campus. All new teaching assistants are required to participate in the Graduate Academy for College Teaching conducted prior to the start of the semester.

for the degree of Doctor of Philosophy in Informatics

For additional details and requirements refer to the degree requirements, the appropriate department's graduate handbook, and the Graduate College Handbook

INFO 500Orientation Seminar (taken twice: once for 0 hours, once for 1 hour)1
Research Practicum8
Research Practicum (taken twice 4 hrs each)
Applications Courses 2 courses at the 500 level from approved list on Course List tab8
Foundations Courses2 courses at the 500 level from approved list on Course List tab8
INFO 599Thesis Research (32 min applied toward degree)32
Total Hours Entering with Master's Degree64
Students entering without a Master's degree approved by their Advisory Committee will be required to take 32 additional credit hours in 400 and 500 level courses approved by their committee.
Total Hours Entering with approved B.S. degree96

Other Requirements

Other requirements may overlap
Qualifying Exam Required Yes
Preliminary Exam Required Yes
Final Exam/Dissertation Defense Required Yes
Dissertation Deposit Required Yes
Minimum GPA: 2.75

for the degree of Doctor of Philosophy in Informatics

Applications Courses (Select 2 courses at the 500 level from list below)

ANSC 542Applied Bioinformatics4
ANSC 545Statistical Genomics3 or 4
ARCH 423Soc/Beh Factors for Design3
ARTD 501Industrial Design I6
ARTS 443Time Arts II3 or 4
ARTS 444Interaction II3 or 4
CHBE 571Bioinformatics4
CHLH 527Statistics in Epidemiology4
CPSC 565Perl & UNIX for Bioinformatics2
CPSC 567Bioinformatics & Systems Biol4
CS 548Models of Cognitive Processes4
DANC 532Digital Media for Dancers2
DANC 550Advanced Research in Dance1 to 4
ECE 537Speech Processing Fundamentals4
EPSY 587Hierarchical Linear Models4
EPSY 589Categorical Data Analysis in Educational Psychology4
IE 510Applied Nonlinear Programming4
IE 511Integer Programming4
IE 5124
INFO 555Advanced Educational Technologies for Engagement and Interactive Learning4
LING 501Syntax I4
LING 502Phonology I4
LING 507Formal Semantics I4
LING 520Acoustic Phonetics4
IS 506Human-Centered Information Systems4
IS 524Data Governance2 or 4
IS 525Data Warehousing and Business Intelligence4
IS 526Building Advanced Interactive Systems4
IS 556Internet of Things4
IS 557Applied Machine Learning: Team Projects4
IS 586Usability Engineering4
MUS 407Elect Music Techniques I3
MUS 409Elec Music Techniques II2
MUS 448Computer Music3
MUS 506Graduate Level Composition2 to 6
MUS 507Sem in Music Comp and Theory2 or 4
NUTR 511Regulation of Metabolism4
PATH 516Epidemiology Infectious Dis3
PATH 517Principle/Method Epidemiology4
PATH 560Spatial Epidemiology4
PS 530Quant Pol Analysis I4
PS 531Quant Pol Analysis II4
PSYC 509Psych Scaling Multidimen Meth4
THEA 419Theatrical CAD Drafting2
THEA 430Technical Direction I3
THEA 437Software for Lighting Design2
THEA 453Introduction to Theatre Sound3
THEA 454Sound Design I3
THEA 455Sound Design II3
THEA 550Colloquium Design & Theat Tech4 or 8
UP 519Advanced Applications of GIS4

Foundations Courses (Select 2 courses at the 500 level from list below)

CPSC 540Applied Statistical Methods II4
CPSC 541Regression Analysis4
CS 414Multimedia Systems3 or 4
CS 418Interactive Computer Graphics3 or 4
CS 419Production Computer Graphics3 or 4
CS 427Software Engineering I3 or 4
CS 438Communication Networks3 or 4
CS 440Artificial Intelligence3 or 4
CS 446Machine Learning3 or 4
CS 465User Interface Design4
CS 511Advanced Data Management4
CS 512Data Mining Principles4
CS 519Scientific Visualization4
CS 546Advanced Topics in Natural Language Processing4
CS 558Topics in Numerical Analysis4
CS 565Human-Computer Interaction4
CS 573Algorithms4
ECE 417Multimedia Signal Processing4
ECE 418Image & Video Processing4
ECE 420Embedded DSP Laboratory2
ECE 437Sensors and Instrumentation3
ECE 439Wireless Networks3 or 4
ECE 453Wireless Communication Systems4
ECE 470Introduction to Robotics4
ECE 473Fund of Engrg Acoustics3 or 4
ECE 511Computer Architecture4
ECE 512Computer Microarchitecture4
ECE 513Vector Space Signal Processing4
ECE 517Nonlinear & Adaptive Control4
ECE 537Speech Processing Fundamentals4
ECE 544Topics in Signal Processing4
ECE 547Topics in Image Processing4
ECE 549Computer Vision4
ECE 550Advanced Robotic Planning4
ECE 551Digital Signal Processing II4
ECE 558Digital Imaging4
ECE 580Optimiz by Vector Space Methds4
ECE 594Math Models of Language3 or 4
EPSY 580Statistical Inference in Education4
EPSY 581Applied Regression Analysis4
EPSY 582Advanced Statistical Methods4
EPSY 587Hierarchical Linear Models4
EPSY 588Covar Struct and Factor Models4
IS 504Sociotechnical Information Systems4
IS 507Data, Statistical Models and Information4
IS 515Information Modeling4
IS 517Methods of Data Science4
IS 519Research Design in Information Science4
IS 527Network Analysis4
IS 537Theory & Practice of Data Cleaning4
IS 547Foundations of Data Curation4
IS 545Advanced Data Visualization4
IS 575Metadata in Theory & Practice4
IS 577Data Mining2 or 4
IS 596Advanced Topics in Human-Centered Design & Systems (Section D: Implement Info Stor& Retr)2 to 4
MATH 580Combinatorial Mathematics4
PSYC 509Psych Scaling Multidimen Meth4
PSYC 514Seminar in Cognitive Science2 or 4
PSYC 588Covar Struct and Factor Models4
PSYC 594Multivar Anlys in Psych and Ed4
STAT 510Mathematical Statistics4
STAT 525Computational Statistics4
STAT 542Statistical Learning4
STAT 571Multivariate Analysis4
STAT 587Hierarchical Linear Models4