Master of Engineering Degree

Data and Information Fusion

Multisource Data and Information systems seek to combine information from multiple sources and sensors in a wide variety of applications in order to achieve analysis and decision-supporting inferences that cannot be achieved with a single sensor or source.

Data fusion refers to the combination of data from multiple sensors (either of the same or different types), whereas information fusion refers to the combination of data and information from sensors, human reports, and databases.

This Master of Engineering degree with a Concentration in Data and Information Fusion is designed for professionals who are involved in the design of Multisource Data and Information systems. It combines statistical, computational, and design-oriented courses across the school of engineering to provide the multidisciplinary background necessary for development of fusion systems. The program can be completed entirely online, making it suitable for individuals working in related industries or government laboratories. The program is administered in connection with UB's Center for Multisource Information Fusion, which has a long history of defense and industry research in this area.

Entrance Requirements

The entrance requirements for the ME with a concentration in Data and Information Fusion are:  

• A baccalaureate degree in Engineering, Math, Physics, or a pre-approved related science (subject to approval).

• Demonstrated practical engineering experience (formal job or projects). 

• A minimum grade point average of 3.0 (on a 4.0 basis) for all undergraduate work taken during the last two years of the applicant's studies. 

In exceptional cases, the department may authorize admission of an applicant who does not meet all of the above requirements. In such cases the department will establish performance criteria which, when satisfied, will serve as the basis for continuing in the program.

Degree Requirements

Students must take the following six courses:

  • IE 552 Multisensor Info Fusion
  • IE 553 High Level Info Fusion
  • IE 561 Information Systems
  • IE 563 Data Mining in Service Enterprises
  • MAE 674 Optimal Estimation Methods
  • PHI 598 Special Topics-Ontological Engineering

In addition, each student must select two elective courses totaling six credit hours, from any department within the engineering school. 

Engineering Project: To complete the 30 credit-hours requirement, the student conduct a project representing six hours of credit, document the results in a written technical report, and present the results.