Master of Engineering in Data and Information Fusion

Looking for an interesting career that offers remarkable job opportunities? Our online graduate program is the premier system-level data and information fusion program in the U.S.

The data and information fusion field has seen tremendous growth in the last 15 years and has an enormous impact on businesses and society. Specialists are needed in a wide variety of industries – from defense applications for advanced surveillance and reconnaissance systems to robotics, civil infrastructure systems, medical monitoring systems, intrusion detection systems, intelligent transportation systems, and in environmental monitoring applications, to name just a few.

In our program, you will learn how to analyze information from multiple sources and sensors along with information from human reports, databases and social media. Combine that with our multidisciplinary approach to designing and implementing data and information fusion systems, and you’ll have a marketable educational experience like no other.

Why Study Data and Information Fusion at UB?

UB houses the Center for Multisource Information Fusion (CMIF), the only dedicated data/information fusion center in the U.S.
You will gain knowledge from the top data and information fusion experts in the field
Our flexible distance learning program is designed to work around your schedule, saving you time and money
You will learn practical aspects of data and information fusion through CMIF funded projects
Members of our world-renowned faculty have written the first integrated text on multisource data and information fusion as well as the comprehensive “Handbook” texts on this complex topic, and have played leadership roles in a wide range of R&D programs spanning defense, security, and cyber applications, medical and transportation applications, and NASA-based attitude control systems for orbiting spacecraft.
Students who complete this program will be prepared to work in and contribute to a growing field with remarkable job opportunities

Who Can Apply?

Our one-of-a-kind online program is designed for working professionals. In order to apply, applicants must have:

A baccalaureate degree in Engineering, Math, Physics, or a related science field
Demonstrated practical engineering experience
A minimum GPA of 3.0 (on a 4.0 scale) for all undergraduate work completed in the last two years of study

In exceptional cases, the Industrial Engineering 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.

Learn more about admissions requirements

Degree Requirements

Our online degree is an ME in Industrial Engineering with a specialization in Data and Information Fusion. In addition to a six credit hour engineering project, students in this program must take two technical electives plus the following six courses:

IE552 Multisensor Info Fusion
IE553 High Level Info Fusion
IE561 Information Systems
IE563 Data Mining in Service Enterprises
MAE674 Optimal Estimation Methods
PHI598 Special Topics-Ontological Engineering

Learn more about course requirements

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Career Fields in Data and Information Fusion

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Cyber Intelligence and Security
11/14/16
The danger of security breaches and cyberattacks are an ongoing concern for organizations worldwide, and more and more are recognizing the necessity of strong cyber intelligence and security measures.
Space Situational Awareness
11/14/16
Space is becoming more contested, congested and competitive, driving new employment opportunities. A variety of initiatives are planned for space protection, such as alerting techniques, and maintaining a catalog of all space objects.
Biometrics Development
9/19/17
Biometric technologies help us authenticate identities and ensure statistical uniqueness, which can help solve mysteries using forensics, ensure the security of buildings, transportation and sensitive information, or even cut down on things like voter fraud.
Systems Analysis and Optimization
11/14/16
As technology advances, there is increased demand for complex systems to make human-like decisions. Systems analysis and optimization focuses on optimizing the design and operation of these systems so they make the best choices when humans can't intervene.
Information-Based Ontology
11/14/16
Ontology is a way of simplifying complex data and organizing information. Information-based ontology combines that data or information from various sources to interpret it accurately and verify the mappings used to integrate each source.
Medical Data Analytics
9/19/17
Medical data analysis involves collecting, organizing and tracking medical records from various healthcare facilities. As more healthcare facilities move toward electronic health records, the need for better sorting and storing of medical data is on the rise.
Signals Intelligence and Information Operations Systems
11/14/16
Signals Intelligence gathers information by intercepting communication between people and/or electronic devices.
Data Mining
9/19/17
Data mining is a subfield of computer science that looks for patterns and useful information in large sets of data using various methods and techniques. Data mining analysts then take this information and transform it into valuable insights and strategic action.
Industrial Supply Chain Analysis
9/19/17
Industrial supply chains have grown more complex as global energy, resource and product demands have increased. As a result, the need for efficient environmentally-friendly solutions are vital in order to meet the growing demand.

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Video by Dr. Barry Smith

Ontology Boot Camp

CMIF was pleased to host a one-day ontology boot camp taught by Dr. Barry Smith, SUNY Distinguished Professor of Philosophy and Julian Park Chair. Dr. Smith’s work on applied ontology in biology and healthcare is well known. He was invited by the Systems Engineering Research Center to lead a training session in Washington D.C. on application of ontology in the field of systems engineering. The video above is the version of this session that Dr. Smith presented at the CMIF boot camp.