Online Education

Online Graduate Certificate Computational Intelligence Computer Engineering | Systems Engineering

About the Certificate

Advances in information technology and the increased level of interconnectivity that society has achieved through internet and broadband communication technology have created systems that are very complex. The world is facing an increasing level of systems integration leading towards Systems of Systems (SoS) that adapt to changing environmental conditions. The number of connections between components, the diversity of the components and the way the components are organized can lead to different emergent system behavior. Computational intelligence tools are an integral part of these systems in enabling adaptive capability in their design and operation.

This graduate certificate program provides practicing engineers the opportunity to develop the necessary skills in the use and development of computational intelligence algorithms based on evolutionary computation, neural networks, fuzzy logic, and complex systems theory. Engineers can also learn how to integrate common sense reasoning with computational intelligence elective courses such as data mining and knowledge discovery.

 

 Admissions Requirements: Systems Engineering, Computer Science Departments

The only entrance requirement for students entering a graduate certificate program is that they satisfy the prerequisites for any course they take in the program.

Admissions Requirements: Department of Electrical and Computer Engineering 

  • Bachelor's degree in any field of engineering
  • Undergraduate GPA ≥ 3.0 

Students in the certificate program must take four required courses. In order to receive a graduate certificate, the student must have an average GPA of 3.0 or better in each of the certificate courses taken. A student admitted to the certificate program will have non-degree graduate status; however, if the four-course sequence is completed with a grade of B or better in each of the courses taken, the student will be admitted to the master's degree program in computer science, computer engineering or systems engineering, if they apply. The certificate courses taken by a student admitted to the MS program will count toward their master's degree. If the student does not have all of the prerequisite courses necessary to take the courses in the certificate program, they will be allowed to take "bridge" courses at either the graduate or undergraduate level to prepare for the formal certificate courses. 

Once admitted to the program, a student will be given three years to complete the program, so long as a B average is maintained in the courses taken.

For online students applying to a graduate certificate program. (No GRE/GMAT required.)

Certificate Applicant 

The following are the courses offered in the program. Courses are 3 credit hours each, unless stated otherwise. The University reserves the right to change or cancel courses as needed. 

Total Courses: 4 (12 credit hours)

Core Courses  
Computational Intelligence  
Select one of the following:  
Introduction to Neural Networks and Applications  
Introduction To Artificial Intelligence  
Evolutionary Computing  
Select two of the following not taken as a core course:  
Introduction to Neural Networks and Applications  
Neural Networks Control and Applications  
Introduction To Artificial Intelligence  
Evolutionary Computing  
Advanced Topics In Artificial Intelligence  
Advanced Evolutionary Computing  
Deep Learning  
Clustering Algorithms  
Adaptive Dynamic Programming  
Advanced Topics in Data Mining  
Markov Decision Processes

Course availability may vary by semester (see course listings). Students should consult their academic advisor for appropriate alternatives or substitutions if needed.

Please refer to the Computer Science, Computer Engineering, or Systems Engineering section of the graduate catalog for more information.

This program is 100% online: no campus visits required.

Courses are semester-based. Students typically take one or two classes per semester and finish the program in one year.

  • Delivery: 100% online
  • Calendar system: Semester-based 
  • Typical program length: 1-2 years
  • Typical course load: 1-2 courses a semester (fall and spring)

Courses are offered asynchronously, meaning they do not have regular meetings. They may consist of various media and content — such as online discussions, videos, quizzes and recordings — that students review and complete at the time of their choice.

Learn more about our graduate programs at Missouri S&T by attending one of our virtual information sessions.

Attend Info Session

Pathway to a Master's Degree

Are you a working professional who wants to earn your master's degree, but you don’t have time to take the GRE/GMAT? Then start in a graduate certificate program. Graduate certificates were designed as a pathway to a master's degree.* The admission requirements are more relaxed and credit earned will count toward your degree. Once you successfully earn your graduate certificate, you can continue with the corresponding master's degree without having to take the GRE/GMAT.


Related Degrees

This graduate certificate may act as a pathway to the following master’s programs:

*Completion of a graduate certificate program does not automatically guarantee admission into a corresponding graduate degree program. To continue in a master’s degree program, you must apply.

Questions?

Missouri S&T Online Education

We are here to answer any of your questions about Missouri S&T’s online education programs.

Email Us  Request Info

Sylvia Skouby
Associate Director for Online Admissions

573-341-6903  |  stgrad@mst.edu

Electrical and Computer Engineering

Sahra Sedigh Sarvestani, PhD
Associate Professor and Distance Coordinator

573-341-7505  |  sedighs@mst.edu
Department Website: ece.mst.edu

Engineering Management and Systems Engineering

Cihan Dagli, PhD
Founder and Director of Systems Engineering Graduate Program and Professor of Engineering Management and Systems Engineering

573-647-9125  |  dagli@mst.edu
Department Website: emse.mst.edu

Kimberly Lindstrom
MS Graduate and Certificate Programs Support Specialist

573-341-7785  |   klindstrom@mst.edu