Control Sciences and Dynamical Systems
Adjust Font Size: Normal Large X-Large

Degree Information

The Control Science and Dynamical Systems graduate program will not be accepting new applications, effective Fall 2010 term.
  • DEGREE OFFERED: Doctor of Philosophy in Control Science and Dynamical Systems

    colaborative research
CURRICULUM: Student programs must emphasize modeling--mathematical and physical analyses of control and/or dynamical systems, with some computational or numerical expertise--and two areas selected from the following three: control theory for deterministic processes; stability theory and general analysis of dynamical systems; stochastic processes and information theory. Requirements for the Ph.D. program are dictated by the student and their faculty advisor, not the department. Each student must have 60 credits, l8 of which are to be completed in areas outside of the major focus. The University of Minnesota Graduate School Catalog contains information about all the fields of study and the various requirements that apply to all major fields. Coursework for the various disciplines are listed by individual departments in the catalog.

The University of Minnesota does not award a master's degree in control science and dynamical systems. Instead, students are encouraged to complete a master's degree in a related field of engineering or in computer science, mathematics, statistics or physics, prior to entering the CSDy program. Such master's degrees, with an emphasis in control science or dynamical systems, can be earned in any one of these fields at the University of Minnesota.

Course Information

Each student follows a program designed to fit his or her individual interests and needs. Formulated in consultation with the students adviser, the program may include courses from several departments. Besides formal course work, regular departmental colloquia and many research seminars afford students the chance to participate in the exchange of views with a wide variety of scholars from the University itself, from other parts of the country and indeed, from the whole world. Other departments hold similar programs that are often of interest to our staff and students. The existence of this interaction among different departments constitutes one of the major advantages of a large University.

Graduate students should be familiar with the contents of the following University guidelines and resources:

See also: Graduate School Registration Requirements

Sample Schedule of Graduate Courses in Controls

Graduate School Requirements

Students are responsible for satisfying both the program and the Graduate School Requirements for degree completion. For more information click here.

Areas of study for the program in related departments include:


Quick Class Schedules and Course Descriptions

Aerospace Engineering & Mechanics
Advanced Dynamics
Nonlinear Systems
Trajectory Optimization Techniques
Modern Control Theory for Aerospace Studies
Robust Multivariable Control 

Chemical Engineering & Material Science
Process Control 
Computer Science & Engineering
Artificial Intelligence Techniques in Robotics
Iterative Methods for Linear Systems
Parallel Methods for Numerical Optimization
Electrical and Computer Engineering
Digital Filtering and Signal Processing
Adaptive Digital Filter Theory
Vision and Image Processing Design
Kalman Filtering and Applications
Linear Optimal Control
Nonlinear Systems and Control
Systems Theory
Linear Algebra with Applications
Methods of Applied Mathematics
Introduction to Analysis
Advanced Methods of Applied Mathematics
Real Analysis
Complex Analysis
Functional Analysis
Mechanical Engineering
Analysis and Modeling of Dynamic Systems
Finite Element Method
Industrial Control
Multivariable Control

Last Modified: 2017-07-17 at 13:51:40 -- this is in International Standard Date and Time Notation