M.S.E. in Electrical Engineering
The M.S.E. in Electrical Engineering program at Arizona State University is designed to...
M.S. in Artificial Intelligence Engineering (Human-Centered Artificial Intelligence)
Polytechnic
INTAKE: Jan & Aug
Program Overview
The M.S. in Artificial Intelligence Engineering (Human-Centered Artificial Intelligence) at Arizona State University (ASU) is an interdisciplinary program focused on creating AI technologies that are ethical, reliable, and beneficial to society. It blends computer science, engineering, and human-centered design to prepare students to develop intelligent systems that enhance human interaction and decision-making while ensuring fairness, transparency, and inclusivity.
STEM Designated: This program is STEM-designated, allowing international students to apply for an Optional Practical Training (OPT) extension in the U.S. after graduation. The designation reflects its emphasis on technical innovation, computational research, and advanced engineering principles.
Curriculum: The curriculum combines theory and application through courses in Machine Learning, Deep Learning, Human-Computer Interaction, Ethics in AI, and Natural Language Processing. Students engage in hands-on projects and a capstone experience to apply AI principles in real-world scenarios. Electives in robotics, data analytics, and computer vision allow specialization based on career interests.
Research Focus: ASU’s program emphasizes research in human-centered AI, ensuring that intelligent systems align with ethical standards and human values. Key research areas include AI safety, human-robot collaboration, responsible machine learning, and AI for social good. Students work with expert faculty and have access to research centers like the Center for Human, Artificial Intelligence, and Robot Teaming (CHART).
Industry Engagement: ASU collaborates with major technology companies such as Google, Intel, IBM, and Amazon Web Services, providing students access to internships, workshops, and real-world projects. These partnerships enhance career readiness and ensure graduates are equipped with the latest industry skills and experience.
Global Perspective: The program fosters a global outlook by emphasizing diversity, sustainability, and cross-cultural collaboration. Students gain exposure to international research initiatives and global AI challenges, preparing them to develop innovative, ethical solutions that impact industries and societies worldwide.
Location
Polytechnic
Score
IELTS 7
Tuition Fee
USD 29880
Postgraduate Entry Requirements
Academic Qualifications: Applicants for postgraduate programs typically require a minimum academic achievement of 80% or above in their bachelor's degree.
English Language Proficiency:
- IELTS: Overall band score of 7.0 with a minimum of 6.5 in each component.
- TOEFL: Overall score of 90 or higher.
- DET: Overall score of 115 or higher.
The University of Arizona State University (ASU) is a renowned public research university located in the United States.
Merit-based Scholarships: ASU offers a range of merit-based scholarships to international students based on their academic achievements. These scholarships recognize outstanding academic performance, leadership potential, and extracurricular involvement. Examples of merit-based scholarships include the New American University Scholarship, President's Scholarship, and Provost's Scholarship.
International Excellence Awards: ASU provides International Excellence Awards to exceptionally talented international students. These awards are highly competitive and are based on criteria such as academic achievements, contributions to the community, and potential for future success. The International Excellence Awards are available at both undergraduate and graduate levels.
Financial Need-based Scholarships: ASU also offers scholarships to international students based on their financial need. These scholarships aim to provide financial assistance to deserving students who may require additional support to pursue their education. Students are required to demonstrate their financial need through appropriate documentation.
Departmental Scholarships: Many departments and colleges within ASU offer scholarships specific to their academic disciplines. These scholarships are designed to support students pursuing studies in particular fields of study. Students should inquire directly with their respective departments or colleges to explore scholarship opportunities related to their area of interest.
External Scholarships: ASU encourages international students to explore external scholarship opportunities from government agencies, foundations, corporations, and other organizations. The university provides resources and guidance to assist students in identifying and applying for external scholarships that may be available to them.
It's important to note that scholarship availability, eligibility criteria, and application processes may vary. Students should review the specific requirements and deadlines associated with each scholarship opportunity and prepare their applications accordingly.
Graduates of the M.S. in Artificial Intelligence Engineering (Human-Centered Artificial Intelligence) program at Arizona State University (ASU) are equipped with the technical, analytical, and ethical skills needed to thrive in the evolving AI landscape.
Artificial Intelligence Engineer: AI Engineers design, develop, and deploy intelligent algorithms and systems that simulate human decision-making. They work on projects involving natural language processing, computer vision, and deep learning to create scalable, human-centric AI solutions.
Machine Learning Engineer: Machine Learning Engineers specialize in building predictive models and automated systems that learn from data. They apply statistical methods and programming expertise to develop applications in fields such as robotics, cybersecurity, and personalized recommendations.
Human-Centered AI Researcher: These professionals focus on designing AI systems that prioritize user experience, accessibility, and ethics. They work in academic institutions, research labs, and tech firms to explore the intersection of human psychology, data science, and machine intelligence.
Data Scientist: Data Scientists collect, analyze, and interpret complex data to support decision-making and strategy. They apply AI tools to uncover patterns, optimize business operations, and drive innovation across industries such as healthcare, finance, and e-commerce.
Robotics Engineer: Robotics Engineers integrate AI with mechanical systems to design autonomous robots capable of interacting with humans safely and efficiently. They contribute to industries like manufacturing, logistics, healthcare, and space exploration.
UX Researcher for AI Systems: User Experience (UX) Researchers ensure that AI technologies meet human needs effectively. They study how people interact with intelligent systems, helping organizations design user-friendly AI applications that enhance trust and usability.
AI Ethics and Policy Specialist: AI Ethics Specialists develop policies and frameworks that ensure responsible AI use. They address issues such as algorithmic bias, transparency, and data privacy, guiding organizations to implement fair and accountable AI systems.
Cognitive Systems Engineer: Cognitive Systems Engineers design AI architectures inspired by human cognition. They focus on building adaptive systems that improve learning, reasoning, and collaboration between humans and machines in real-world environments.
Computational Linguist / NLP Engineer: Professionals in this field apply AI and linguistic knowledge to create systems that understand and generate human language. They develop applications like chatbots, voice assistants, and automated translation tools.
AI Product Manager: AI Product Managers oversee the strategy, design, and implementation of AI-driven products. They bridge the gap between technical teams and business stakeholders, ensuring that AI solutions align with organizational goals and user needs.
