Graduate Certificate in Computational Intelligence

Department of Systems Engineering
Department of Computer Science
Department of Electrical and Computer Engineering

Program Description   |   Curriculum   |   Course Descriptions
Admission Requirements   |   Graduate Degrees

Program Description:

Recent advances in information technology and the increased level of interconnectivity that society has achieved through Internet and broadband communication technology created systems that are very much different.  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.

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The graduate certificate program is open to all individuals holding a BS degree in an engineering or hard scientific discipline who have a minimum of two years of professional experience or are currently accepted into a graduate degree program at Missouri S&T.

The certificate program consists of four courses, two core courses and two elective courses. In order to receive a Graduate Certificate, the student must have an average graduate cumulative grade point of 3.0 or better in the certificate courses taken.

Students admitted to the certificate program will have non-degree graduate status but will earn graduate credit for the courses they complete. The core courses will be offered alternately by the responsible departments, but students will need to specify one of the three graduate programs at the time of application as each program has different admission requirements. These departments are Engineering Management and Systems Engineering, Computer and Electrical Engineering, and Computer Science. If the four courses sequence approved by the graduate advisor is completed with a grade of B or better in each of the courses taken, the student will be admitted to the MS program they applied. The certificate courses taken by students admitted to the program will count towards the MS.

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

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  • COMP ENG 5310/SYS ENG 5211: Computational Intelligence 

Choose one course from the following three:

  • COMP SCI 5400: Introduction to Artificial Intelligence
  • COMP SCI 5401: Evolutionary Computing
  • SYS ENG 5212/ELEC ENG 5370: Introduction to Neural Networks & Applications 

Choose two of the following eleven courses:

  • COMP SCI 5400: Introduction to Artificial Intelligence
  • COMP SCI 5401: Evolutionary Computing
  • COMP ENG 6330/ ELEC ENG 6340/ SYS ENG 6214/STAT 6239: Cluster Algorithms
  • COMP SCI 6400: Advanced Topics in Artificial Intelligence
  • COMP SCI 6401: Advanced Evolutionary Computing
  • SYS ENG 6215/COMP ENG 6320/ELEC ENG 6360: Adaptive Dynamic Programming
  • COMP SCI 6402/SYS ENG 6216/COMP ENG 6302: Advanced Topics in Data Mining
  • ELEC ENG 5320: Neural Networks for Control
  • SYS ENG 5212/ELEC ENG 5370: Introduction to Neural Networks & Applications 
  • COMP ENG 6310/ENG MGT 6410/ COMP SCI 6202/MECH ENG 6447/AERO ENG 6447: Markov Decision Processes
  • SYS ENG 6213: Advanced Neural Networks

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Course Descriptions:

 Course description can be found in the catalog at

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Graduate Degrees

Graduate certificates were designed as a gateway to a master’s degree. If a student earns a B or better in each certificate course they may continue for the graduate degree (in the corresponding department), without needing to submit GRE/GMAT scores, or letters of recommendation. A student does not need to continue on for the graduate degree, however most do. Graduate certificates were designed for working professionals who have real life work experience and may not have time to take the GRE/GMAT. Admission requirements for the graduate certificate program are also more relaxed than the graduate degree. This graduate certificate may act as a gateway to the following master’s programs:

Computer Engineering (MS) 
Computer Science (MS)
Electrical Engineering (MS)
Systems Engineering (MS)

(Applicants must indicate which program they wish to use the certificate as a gateway for when initially applying for the certificate).

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Gainful Employment Program Disclosure

Effective July 1, 2011, the Department of Education requires that all certificate programs must disclose particular Gainful Employment information to current and prospective students. The information that is provided in the disclosure includes the estimated cost of the certificate program as well as on-time graduation and job placement rates for this particular certificate program. The disclosure information is based on data from the 2017-18 school year(defined as the period between July 1, 2017, and June 30, 2018)

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