The Master of Science in Applied Artificial Intelligence degree educates students to acquire state-of-the-art knowledge and skills in artificial intelligence and its applications across a broad range of engineering domains. The program prepares students to develop a strong background in understanding the theoretical foundations of artificial intelligence and deep learning, together with the understanding of a variety of engineering applications including intelligent communication networks, autonomous robotics, image processing and computer vision, smart Internet of Things, smart health, information systems security, biomedical and bio-engineering, civil and environmental engineering, mechanical engineering, data engineering, and software engineering. The program prepares students to enter careers in engineering fields that require advanced artificial intelligence knowledge and skills.

Concentrations

• Computer Engineering

• Electrical Engineering

• Software Engineering

• Data Engineering

• Biomedical Engineering

• Mechanical Engineering

• Systems Biology

• Artificial Intelligence in Design and Construction

Program Objectives

The program prepares students to:

• develop a strong background in understanding the theoretical foundations of artificial intelligence and deep learning.

• understand a variety of engineering applications for AI, including intelligent communication networks, autonomous robotics, image processing and computer vision, embedded systems, smart Internet of Things, smart health, information systems security, biomedical engineering, financial engineering, transportation engineering, data engineering, and software engineering.

Program Outcomes

By the time of graduation, students will be able to:

• apply knowledge in mathematics, computational science and physics to solve problems in artificial intelligence.

• analyze real-world data inputs and information systems using engineering principles and modeling approaches.

• design experiments and analyze results to determine process parameters, and to identify issues and methods for algorithm design and system analysis.

• use mathematical, modeling, and engineering principles to design artificial intelligent algorithms and systems; be able to incorporate considerations such as feasibility, applicability, cost, legal/regulatory, societal impacts, etc. in designs.

• use computer software for data acquisition, modeling, simulation, visualization and intelligent system design.

• write and present polished technical reports at a level expected of the engineering profession and be able to critically evaluate the technical literature and use it to obtain solutions to artificial intelligence and data engineering problems.