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 (Electrical Engineering)
Tempe
INTAKE: Jan & Aug
Program Overview
The Master of Science (M.S.) in Artificial Intelligence Engineering (Electrical Engineering) at Arizona State University (ASU) is an advanced, interdisciplinary program designed to integrate electrical engineering principles with cutting-edge artificial intelligence (AI) technologies. This program equips students with the technical, analytical, and problem-solving skills needed to design intelligent systems and autonomous technologies that address real-world engineering challenges. By combining the foundations of signal processing, control systems, and embedded computing with AI tools such as machine learning and deep learning, the program prepares graduates to develop innovative solutions across industries including robotics, telecommunications, energy systems, and automation.
STEM Designated: The program is STEM-designated, providing international students the opportunity to apply for an Optional Practical Training (OPT) extension in the United States. This designation highlights ASU’s commitment to fostering education in science, technology, engineering, and mathematics disciplines. It also ensures that graduates are well-prepared for careers requiring technical expertise, research skills, and innovation in AI-driven engineering fields.
Curriculum: The curriculum for the M.S. in Artificial Intelligence Engineering (Electrical Engineering) is structured to balance theoretical knowledge and practical application. Core courses cover areas such as Machine Learning for Engineers, Intelligent Systems Design, Neural Networks, Signal Processing with AI, and Advanced Control Systems. Students also gain exposure to Data Analytics, Computer Vision, and Embedded AI Systems. Electives allow for specialization in topics like robotics, IoT, renewable energy systems, and automation engineering. The program culminates in a capstone project or thesis, enabling students to apply AI methodologies to solve complex engineering problems, often in collaboration with industry partners.
Research Focus: Research in this program emphasizes the integration of artificial intelligence with electrical and computer engineering to create smart, adaptive, and sustainable technologies. Key areas of research include autonomous systems, intelligent signal processing, AI-enhanced communication networks, renewable energy optimization, cyber-physical systems, and embedded machine learning. Students collaborate with ASU’s renowned research centers such as the Fulton Schools of Engineering, the Center for Assured and Scalable Data Engineering (CASCADE), and the Global Security Initiative, gaining hands-on experience with advanced AI applications in engineering and technology.
Industry Engagement: ASU maintains strong partnerships with leading technology companies and government agencies, providing students with access to internships, research collaborations, and networking opportunities. Industry connections with Intel, Amazon Web Services, Google, IBM, NVIDIA, and Microsoft allow students to work on real-world projects that apply AI in sectors like electronics, automation, and smart infrastructure. Through career fairs, workshops, and industry-sponsored capstone projects, students gain practical exposure and develop the skills necessary to meet evolving market demands in AI engineering.
Global Perspective: The M.S. in Artificial Intelligence Engineering (Electrical Engineering) program at ASU offers a global perspective on the impact of AI in modern engineering. It attracts a diverse cohort of students and faculty from around the world, fostering international collaboration and innovation. Through case studies, research partnerships, and cross-cultural learning experiences, students gain insight into how AI and automation are transforming industries globally. The program emphasizes sustainability, ethics, and human-centered design, preparing graduates to contribute to global advancements in intelligent technologies that enhance productivity and improve quality of life.
Location
Tempe
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 (Electrical Engineering) program at Arizona State University (ASU) are prepared to pursue diverse and high-demand careers that merge advanced electrical engineering principles with artificial intelligence (AI) technologies. The program equips them with technical expertise in intelligent systems, automation, and machine learning applications across multiple industries.
Artificial Intelligence Engineer: AI Engineers design and deploy intelligent algorithms and models that enhance automation, perception, and decision-making in electronic and control systems. They work on developing AI-powered tools for robotics, signal processing, and communication networks.
Machine Learning Engineer: Machine Learning Engineers specialize in creating predictive models and adaptive systems that learn from real-world data. They apply deep learning and statistical modeling techniques to enhance system performance and optimize engineering applications.
Robotics Engineer: Robotics Engineers develop intelligent robotic systems that combine AI with control and electrical systems for automation, navigation, and human–machine collaboration in industries like manufacturing, logistics, and healthcare.
Control Systems Engineer: These engineers integrate AI algorithms into control systems to enhance precision, efficiency, and responsiveness in automated machinery, drones, and smart grid technologies.
Signal Processing Engineer: Signal Processing Engineers apply machine learning to analyze and interpret digital signals for communication, biomedical, and image-processing systems. They design algorithms that enable intelligent filtering, noise reduction, and pattern recognition.
Embedded Systems Engineer: Embedded Systems Engineers design AI-enabled embedded devices that can perform intelligent tasks locally, such as in IoT devices, autonomous vehicles, and smart appliances.
Data Scientist: Data Scientists in the engineering domain analyze complex datasets to extract insights that improve decision-making and innovation. They use AI and analytics to optimize operations in sectors like energy, telecommunications, and electronics.
Research Scientist (AI and Engineering): Research Scientists focus on developing new AI models and applying them to electrical engineering challenges. They contribute to advancements in AI-driven hardware design, sustainable energy systems, and next-generation computing.
AI Systems Architect: AI Systems Architects design and implement the overall structure of AI-enabled engineering systems. They ensure seamless integration of hardware, software, and intelligent algorithms for scalable performance.
Automation and Control Engineer: Automation Engineers develop smart control frameworks for industrial systems using AI and machine learning. Their work improves operational efficiency, predictive maintenance, and system reliability in advanced manufacturing and smart infrastructure.
