Visit the RIT Imaging Science MS Program of Study page here for additional information.

The Center for Imaging Science offers the master of science degree in imaging science to students as an online learning program. This program is identical to the on-campus M.S. degree (project option) with a few alterations in scheduling and course offerings which are described below. Note that most Imaging Science online courses are taught in real-time using various Internet technologies at the same time they are taught face-to-face in a classroom. Ideally, online students will need access to broadband Internet and be able to deal with the limitations of learning advanced technical material without face-to-face interaction with the instructor and fellow students. However, since these online courses are recorded, they can be viewed by an online student after the class has occurred, thereby offering some flexibility to allow students to accommodate their work schedules. It is important to note that not all Imaging Science courses are taught online, so there are fewer electives and specialty tracks available in the online program. Applicants should also consider their learning styles and self-discipline when attempting this mathematics and physics intensive program. For example, it is much easier for on-campus students to form study groups and meet informally for review sessions, etc.

This program is designed so that students can complete the degree in three to four years by taking one or two courses each semester. See the schedule below for course availability.

For information please contact Dr. Charles Bachmann, Imaging Science Graduate Program Coordinator, bachmann@cis.rit.edu, (585) 475-7238. Please see our FAQ for answers to common questions.

For more information about Online Learning at RIT and enrolling in Online Learning courses, please visit their web page.

Information for New Students and Potential Applicants

Although our core course sequence begins in the Fall, interested students may still enroll for elective or specialty track courses or begin the application process at any time. They could then begin taking core courses the following fall. The permission of the instructor is required for entry into any class if a student is not matriculated. Please contact us if you have any questions.

Course Information

As mentioned above, the Online Learning MS requirements are identical to those of the local MS degree with the project/paper option. Students complete 30 credit hours of course work which are divided as follows:

Choose four of six core courses @ 3 credit hours each = 12 credit hours. (IMGS-616 is required)
Project/Paper @3 cr. hr.
Remaining 15 credits (typically 5 courses @ 3 cr. hrs. each) divided between specialty track and elective courses.

Program Outline

The specific core course choices and distribution of specialty track and elective courses:

Course Number Course Title Credits
IMGS-616 Fourier Methods for Imaging (required) 3
  Choose 3 of the other 5 core courses  
IMGS-682 Image Processing and Computer Vision 3
IMGS-613 Probability, Noise and System Modeling 3
IMGS-619 Radiometry 3
IMGS-620 The Human Visual System 3
IMGS-633 Optics for Imaging 3
  Specialty Track (to be selected from Digital Image Processing, Medical Imaging, or Remote Sensing) 6
Project
IMGS-740 MS Project Paper (required to complete the degree) 3
*Example Electives
IMGS-711 Computational Methods for Imaging Science 3
IMGS-712 Multi-view Imaging 3
IMGS-754 Pattern Recognition 3
*Additional electives may be drawn from other specialty tracks, core courses, or courses from other departments with the consent of your advisor
Total Credits = 30

Specialty Tracks

The learning program offers four areas of specialization. Unique tracks may be created with the consent of an advisor. Please check the availability of courses in the schedule below.

Digital Image Processing Track, Master of Science, Imaging Science
Course Number Course Title Credits
IMGS-682

Image Processing and Computer Vision

3
IMGS-754 Pattern Recognition 3
IMGS-613 Probability, Noise and System Modeling 3
     
  Electives (Three) 9
Medical Imaging Track, Master of Science, Imaging Science
Course Number Course Title Credits
IMGS-731 Ultrasound Imaging 3
IMGS-730 Magnetic Resonance Imaging 3
IMGS-613

Probability, Noise and System Modeling

3
  Electives (Three) 9
Remote Sensing Track, Master of Science, Imaging Science
Course Number Course Title Credits
IMGS-619 Radiometry 3
IMGS-722 Remote Sensing: Sensor and Radiometric Image Analysis 3
IMGS-723 Remote Sensing: Spectral Image Analysis 3
IMGS-765

Performance Modeling and Characterization of Remote Sensing Systems

3
  Electives (Three) 9

There is the possibility of taking electives from departments other that CIS, such as the Center for Quality & Applied Statistics (CQAS) (see their Online Learning description and course listing for more information. Electives must be approved by the coordinator for credit.

Project/Paper

Students enroll in course IMGS-740 MS Project Paper supervised by a particular faculty for a 3 credit project/paper. This can be done any term usually after a student has completed most of his or her specialty track courses.

Current Schedule

Please note that this schedule is subject to change and that not all courses are offered every year:

Course Number Course Title Fall Spring Summer
IMGS-613 Probability, Noise and System Modeling  

X

 
IMGS-616 Fourier Methods for Imaging

X

 
IMGS-619 Radiometry

X

   
IMGS-620 The Human Visual System

X

   
IMGS-633 Optics

 

X

 
IMGS-682 Image Processing and Computer Vision

 

X

 
IMGS-711 Computational Methods for Imaging Science

X

   
IMGS-712 Multi-View Imaging  

X

 
IMGS-722 Remote Sensing: Systems, Sensors, and Radiometric Image Analysis  

X

 
IMGS-723 Remote Sensing: Spectral Image Analysis

X

   
IMGS-730 Magnetic Resonance Imaging  

X

 
IMGS-740 Imaging Science MS Systems Project Paper

X

X

X

IMGS-754 Pattern Recognition  

X

 
IMGS-799 Imaging Science Independent Study

X

X

X