Academic Catalog - 2018-2019

College of Engineering, Informatics, and Applied Sciences

School of Informatics, Computing and Cyber Systems

Informatics, Master of Science


Academic Information

Informaticists apply their interdisciplinary scientific and technological skillsets to analyze and develop solutions for problems central to contemporary science. The M.S. in Informatics enables students to either enter the informatics workforce or continue on to a doctoral program of study.
 
Individual and team-based assignments will enable students to build mastery of important informatics skills and their practical applications in areas that include population health, bioinformatics, remote sensing, ecological modeling, wearable computing, and machine learning and data science.
 
The non-thesis option of this program allows students to complete their degree through coursework and project-based learning, while the thesis option is focused on engagement with research projects under the mentorship of a faculty member and culminating in the preparation and defense of a thesis.
 
The program is strengthened through broad collaborations and partnerships, including the Center for Bioengineering Innovation, Pathogen and Microbiome Institute, Center for Ecosystem Science and Society, Merriam-Powell Center for Environmental Research, Department of Biological Sciences, Department of Physics and Astronomy, School of Earth Sciences and Environmental Sustainability, and School of Forestry. Regional research collaborators include the Translational Genomics Research Institute, Northern Arizona Healthcare and Flagstaff Medical Center, North Country HealthCare, U.S. Geological Survey, and Northern Arizona Planetary Science Alliance.
 

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Academic Catalog - 2018-2019

College of Engineering, Informatics, and Applied Sciences

School of Informatics, Computing and Cyber Systems

Informatics, Master of Science


Careers

What Can I Do with a Master of Science in Informatics?

The M.S. in Informatics degree program prepares graduates for careers in a wide variety of areas in the interdisciplinary application of computing, statistics, and technology to science. The thesis option of the program is particularly appropriate for preparing graduates to subsequently enter doctoral programs of study.
 
Common types of informatics applications include the analysis of massive data sets (Big Data), ecological processes modeling and quantification, genetic and genomic analyses, epidemiology and population health, and remote sensing with satellite and drone imaging.
 
Informaticists are employed by industry and government research labs, as research scientists in academia, or as entrepreneurs in cutting-edge informatics application areas.

Career opportunities that might be pursued:
  • Data analyst
  • Research scientist

With further education, one of these paths is possible:
  • Researcher
  • University professor

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Academic Catalog - 2018-2019

College of Engineering, Informatics, and Applied Sciences

School of Informatics, Computing and Cyber Systems

Informatics, Master of Science


University Requirements

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Academic Catalog - 2018-2019

College of Engineering, Informatics, and Applied Sciences

School of Informatics, Computing and Cyber Systems

Informatics, Master of Science


Overview

In addition to University Requirements:

Minimum Units for Completion 30
Additional Admission Requirements Admission requirements over and above admission to NAU are required.
Thesis Thesis may be required by chosen emphasis or offered as an option.
Comprehensive Exam Comprehensive Exam may be required by chosen emphasis or offered as an option.
Oral Defense Oral Defense may be required by chosen emphasis or offered as an option.
Research Individualized research may be required by chosen emphasis or offered as an option.
Progression Plan Link View Program of Study

Purpose Statement

This M.S. in Informatics will prepare you to either enter the informatics workforce or continue on to a doctoral program of study, building core skills that are widely applicable to many areas of science.
 
Core coursework provides learning opportunities in the foundations of informatics, programming and computer science, structuring large-scale data sets, machine learning, and statistical data analysis. Elective coursework allows students to customize their program of study so that it is maximally aligned with their professional or research interests, with coursework available in many areas of informatics, including epidemiology, bioinformatics, ecological modeling, and remote sensing. Thesis option students will have additional opportunities to engage in informatics research and scholarship under the mentorship of an informatics faculty member as prepare a thesis on their specific research.
 
This program is designed for students with strong preparation in an area of science, such as biology or ecology, and experience in computer programming and data analysis gained through successful completion of a relevant undergraduate program or other professional experience. The non-thesis option of the program is designed for students seeking professional preparation, while the thesis option is particularly appropriate for students for considering further graduate study in a doctoral program.
 
As a graduate, you will be prepared to contribute in a wide variety of informatics areas, including population health, bioinformatics, remote sensing, ecological modeling, wearable computing, and machine learning and data science.

Student Learning Outcomes
 

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Academic Catalog - 2018-2019

College of Engineering, Informatics, and Applied Sciences

School of Informatics, Computing and Cyber Systems

Informatics, Master of Science


Details

Additional Admission Requirements
Master's Requirements
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Academic Catalog - 2018-2019

College of Engineering, Informatics, and Applied Sciences

School of Informatics, Computing and Cyber Systems

Informatics, Master of Science


Campus Availability

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