The rapid expansion of computer, information, and advanced manufacturing technology throughout all segments of business and industry is creating challenges for companies that seek to keep pace with the latest technological and engineering advancements. The M.S. in engineering and information technology program is intended to provide a rigorous, yet broadly accessible platform for practicing B.S.-level engineers and bachelor's degree graduates from other related disciplines to obtain advanced training in contemporary engineering and information technology areas.
Rather than focusing in one area, the M.S. program provides a breadth of exposure to areas that are key to the design, implementation, and manufacturing of complex, smart systems. This exposure includes coursework in software engineering, networking, cloud computing, machine learning, robotics, advanced manufacturing, testing/quality assurance, and associated legal, regulatory, environmental, and ethical issues.
The M.S. in engineering and information technology is administered by the College of Engineering.
The M.S. in engineering and information technology program is currently being revised. Applications are not being accepted at this time.
The Master of Science program in engineering and information technology requires 30 s.h. of graduate credit. Students must maintain a cumulative g.p.a. of at least 3.00. Students are allowed up to 6 s.h. of approved transfer credit.
All courses are taught at the John Deere Davenport Works in Davenport, Iowa. Students work with an academic advisor to formulate a plan of study. The degree requires 12 s.h. of core courses and 18 s.h. in a subprogram—information technology or mechanical engineering.
The M.S. with a major in engineering and information technology requires the following coursework.
Students should consult their advisor for appropriate course selection.
|All of these:|
|EIT:5120||Modern Automation and Control||3|
|EIT:5135||Modern Information Systems||3|
|EIT:5150||Applied Artificial Intelligence||3|
Students choose one of the two subprograms below.
|All of these:|
|EIT:5352||Modern Database Systems||3|
|EIT:5353||Big Data and Machine Learning||3|
|EIT:5380||Software Engineering Methods, Tools, and Frameworks||3|
|EIT:5381||Enterprise Software Engineering||3|
|EIT:5382||Human-Computer Interaction Design and User Experience||3|
|All of these:|
|EIT:5211||Machine Learning and Scientific Computing in Engineering||3|
|EIT:5216||Manufacturing Process and Modeling||3|
|EIT:5220||Advanced Control Engineering||3|
|EIT:5224||Mechanical Design and Realization||3|
|EIT:5240||Kinematics of Modern Robotics||3|
|EIT:5298||Mechanical Component Durability and Integrity Analysis||3|
Applicants must meet the admission requirements of the Graduate College; see the Manual of Rules and Regulations on the Graduate College website.
Applicants must have a bachelor's degree in engineering, computer science, or a related field and an undergraduate g.p.a. of at least 3.00. Those whose g.p.a. is slightly below 3.00 may be considered for admission. No Graduate Record Examination (GRE) General Test scores are required.
Those whose first or official language is not English must score as follows on the Test of English as a Foreign Language (TOEFL): a score of 550 or higher on the paper-based (PBT) version or a score of 81 or higher on the internet-based (iBT) version.
The M.S. degree will assist those who need to learn more about the career areas in which they currently work. Practicing engineers whose expertise is outside of the computing and information technology area may need to gain additional knowledge in areas such as software engineering, networking, databases, and computer security. Likewise, engineers with expertise in traditional computer-related areas may need to broaden their skill set to include an understanding of the internet of things (IoT), machine learning, and other smart-system technologies and methodologies.