Program Overview

Semiconductor Manufacturing Engineering Master's

Program Overview

The Master of Science in Semiconductor Manufacturing Engineering is an interdisciplinary program that helps students qualify for jobs in a desirable, vital, and growing field. This face-to-face program is designed for students from science, engineering, and computer science programs.

Program Details

• Program Type: Master of Science (M.S.)
• Format: On Campus
• Estimated Time to Complete: 2 years
• Credit Hours: 34

Marketable Skills

• Oral and written communication skills
• Engineering problem-solving
• Data analysis in manufacturing
• Testing of semiconductor devices
• Troubleshooting semiconductor manufacturing processes

Program Highlights

• Gain hands-on experience through highly specialized equipment and state-of-the-art facilities at the Center for Microelectronics in Extreme Environments at UNT.
• Excellent educational opportunities for students from various engineering disciplines, physics, chemistry, and computer science to pursue the field of semiconductors.
• Scholarships are available to qualifying students with the opportunity for tuition support and monthly stipends.
• Location allows students to pursue internships in the DFW area, which is home to 24 of the Fortune 500 headquarters and is the fourth largest metropolitan area in the US.

Career Outlook

• The CHIPS Act, signed in 2022, allocated $280 billion to combat the chip shortage. $53 billion of these funds will go toward revitalizing semiconductor manufacturing in the US.
• The SIA estimates that jobs in the semiconductor field will grow by 115,000 by 2030, a 33% growth from 2023.
• According to Lightcast, regional employment in the semiconductor industry is higher in Texas than the national average and is expected to remain high; jobs in semiconducting are projected to grow by 32.6% between 2018 and 2028.

Courses

• MTSE 5530 – Integrated Circuit Packaging, 3 hours
• MEEN 5020 – Design of Experiments, 3 hours
• MTSE 5560 - Compound Semiconductor Materials and Devices
• EENG 5520 – Design and Testing of Digital Systems
• CSCE 5210 – Fundamentals of Artificial Intelligence

Related Programs

• Semiconductor Manufacturing GAC
• Materials Science & Engineering MS
• Electrical Engineering MS

Similar Areas of Study

• STEM
• College of Engineering