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Oct 09, 2024
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2017-2018 Academic Catalog [ARCHIVED CATALOG]
Master of Science, Innovation & Technology
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Return to: College of Innovation & Technology
Total Degree Credits: 30
View the curriculum flowchart.
The Master of Innovation & Technology (MI&T) degree provides cutting edge opportunities to address present day challenges and develop technologies for the future. The college supports graduate research utilizing state-of-the-art experimental and/or computational research facilities under close faculty supervision in Logistics-Analytics and Big Data Analytics. Both thesis and project tracks are offered.
Upon completion of the Master of Science in Innovation & Technology Degree, students will be able to:
- Apply knowledge of design IT principles in a defined industry problem.
- Conduct research and apply knowledge based on these research skills.
- Apply knowledge of managerial skills to coordinate and execute an industry project.
- Demonstrate understanding of applied analysis of user requirements, research skills, managerial skills and IT based knowledge.
- Analyze and properly use current computing techniques, methods and theories in an industry scenario.
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Admissions Requirements
Admission decisions are based on consideration of the applicant’s previous academic records, statement of purpose, resume and letters of recommendations.
The following are the admissions requirements:
- A bachelor degree in Engineering, Applied Sciences, or a closely related discipline from a regionally accredited university
- A minimum GPA of 2.7 in the last 60-semester credits attempted
- Graduate Record Exam (GRE) may be required for applicants with an undergraduate GPA of less than 3.25.
- A letter of interest
- Two letters of recommendations.
Master of Science in Innovation and Technology
Thesis or Project Option
Students select a two-part Thesis option for 6 credits or a one-part Project option for three credits. In either case, the total number of program credits to be earned is 30.
Track: Logistics Analytics courses
Track: Big Data Analytics courses
Plan of Study for Logistics Analytics (30)
Plan of Study for Big Data Analytics (30)
University Graduation Requirements
- Satisfactory completion of 30 credits of approved graduate courses with a GPA of 3.0 or better.
- Meeting any pre-requisites/deficiencies identified by the Graduate Student Advisor.
- Compliance with all other university graduation requirements.
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Return to: College of Innovation & Technology
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