Key information
Duration
- Full-time
- 96 months
Start dates & application deadlines
- Starting August 2027
- Apply before Apr 2027
Language
English
- Duolingo English Test: 95
- TOEFL iBT: 80
- PTE Academic: 56
- IELTS: 6
Credits
60 SCH
Delivered
On Campus
Campus Location
- Flagstaff, United States
Disciplines
- Environmental Engineering
- Computer Sciences
- Ecology
Overview
A streamlined five-year plan of study 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 in one of the following emphasis areas:
- health and bioinformatics, focusing on genetic and genomic analysis, population health, and disease transmission;
- ecological and environmental informatics, addressing ecological and environmental analyses and remote sensing
- cyber and software systems, engaging in the design and implementation of cyber-physical and large-scale software systems
- bioengineering informatics to enhance data analysis and control in bioengineering applications.
Students will engage in significant research and development work under the mentorship of a faculty member in computer science, electrical engineering, or informatics to develop and assess original and creative solutions to open informatics and computing research questions, work which culminates in the preparation and defense of a dissertation.
The Informatics and Computing - Ecological and Environmental Informatics program at Northern Arizona University is designed for students with strong preparation in an area of science, including biology, computer science, ecology, and electrical engineering, and experience in computer programming and data analysis gained through successful completion of a relevant undergraduate or graduate program.
As a graduate you will be prepared to be a leader in industry and government research labs, a faculty member or research scientist in academia, or entrepreneur in cutting-edge informatics application areas such as bioinformatics, population health and health informatics, environmental sustainability, ecology and ecoinformatics, software engineering, wearable computing, cyber-physical systems, and cybersecurity. Students' research and education will be strengthened through broad collaborations with a variety of academic, government, and private entities. Informatics and Computing PhD program partnerships span the university, multiple centers and institutes, and various organizations.
Student Learning Outcomes
Graduates of this training program will demonstrate the following advanced competencies and program learning outcomes (PLOs):
- Identify, explain, and assess the major theories, research methods, and technical approaches driving informatics-driven science and engineering and the impact of these elements on society.
- Identify, explain, synthesize, and apply the fundamental concepts of informatics, including large-scale data representation and organization, various types of programming languages, software development methods, data processing, information extraction and machine learning, and statistical analysis.
- Identify, survey, analyze, organize, and critically distill information from the scientific literature within an informatics emphasis area and creatively identify open research questions.
- Independently apply appropriate expertise, methods, and tools to the creative design, execution, and assessment of an investigation that addresses original informatics research questions.
- Compose and engage in highly effective written and oral communication in informatics areas; demonstrate clear argumentation and logical cohesion in a variety of written and oral communications, including scholarly dissemination, funding requests, industry, and lay-communication.
Identify, explain, synthesize, and apply the interdisciplinary combination of core informatics and in-depth disciplinary expertise defining one of the following emphasis areas:
Ecological and Environmental Informatics
- Integrate mathematical abstractions and modeling with data from the field to determine and analyze ecological relationships
- Construct and execute multi-step remote sensing workflows using geospatial software to solve problems in a variety of application areas and critically assess the strengths and weaknesses of remote sensing instruments and platforms for a variety of application scenarios.
- Elucidate the breadth of statistical methods available in environmental analysis and select the appropriate method for the issue or problem under analysis.
Programme Structure
Courses include:
- Software Development Methodologies
- Large-scale Data Structures And Organization
- Advanced Survey In Ecoinformatics Tools
- Contemporary Developments: Ecoinformatics Seminar
- Applied Remote Sensing
Admission requirements
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
- Duolingo English Test: 95
- TOEFL iBT: 80
- PTE Academic: 56
- IELTS: 6
General requirements
- 3 letters of recommendation
- Personal statement or essay
- Resume or curriculum vitae
- Expertise in key foundational areas in informatics, including core topics such as programming, data structures, software development methods, and statistics, as well as areas that support specific emphases, such as biology, ecology, and cyber systems.
Fees and funding
Tuition Fees
Tuition fees are shown in AUD and the most likely applicable fee is shown based on your nationality.
- International — Non-residents: 45,203 AUD / year (≈ 32,190 USD / year)
- Out-of-State — 45,203 AUD / year (≈ 32,190 USD / year)
- Domestic — In-State: 18,166 AUD / year (≈ 12,936 USD / year)
Living costs
Flagstaff, United States: 1,418-2,106 AUD / month
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Scholarships opportunities are available for the Informatics and Computing - Ecological and Environmental Informatics programme.
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