Computational Engineering, Optimization, Machine Vision, and Decision-Making Track (M.A.S.)

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Illinois Tech’s Master of Computational Engineering program offers students essential skills for career possibilities ranging from calculating the trajectory of satellites to designing aircraft to simulating molecular mechanics. Students will learn computational methodologies, tools, analysis, processing, and modeling capabilities that are central to succeeding in this dynamic engineering field.

This program was developed for students who thrive on solving complex equations and are energized by delving into computer simulations and mathematical algorithms. Course topics in the optimization, machine vision, and decision-making specialization include computational intelligence in engineering, discrete time systems, and statistical pattern recognition.

Program Overview

This program was developed for students who thrive on solving complex equations and are energized by delving into computer simulations and mathematical algorithms. Course topics in this specialization include computational intelligence in engineering, discrete time systems, and statistical pattern recognition.

Career Opportunities

Our Master of Computational Engineering, Optimization, Machine Vision, and Decision-Making Track degree program will prepare you for such careers as:

  • Senior machine learning optimization engineer
  • Optimization and algorithm engineer
  • Computer vision software developer

The Master of Computational Engineering, Optimization, Machine Vision, and Decision-Making Track will provide students with a strong background in computational methodologies, tools, analysis, processing, and modeling capabilities that are central to succeeding in this dynamic engineering field.

Course topics in the optimization, machine vision, and decision-making specialization include computational intelligence in engineering, discrete time systems, and statistical pattern recognition.

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Admissions requirements ensure that incoming students are well-prepared and qualified to succeed in their chosen program. Prospective students must review each program of interest to determine whether they meet admissions requirements as outlined in the course bulletin.