Master of Science in Computer Engineering

Key Highlights of the Master of Science in Computer Engineering Program

UT Dallas MS in Computer Engineering Program Overview 

The MS in Computer Engineering program at UT Dallas offers both thesis and non-thesis tracks. The program is designed to provide students with theoretical knowledge and practical experience in computer engineering. Students can pursue advanced coursework in topics such as embedded systems, machine learning, high-performance computing and hardware/software co-design. 

Core Courses

All students must complete a set of core courses designed to provide a foundation in computer architecture, embedded systems and algorithms. 

Elective Options

Students can choose from a wide range of electives based on their areas of interest, including VLSI design, embedded systems and machine learning. 

Thesis Option

Students interested in research can choose the thesis track, which includes opportunities for independent research under the supervision of faculty members.

MS in Computer Engineering Admission Requirements

To be considered for admission to the MS in Computer Engineering program, applicants must meet the following requirements: 

• Academic Background: An undergraduate preparation equivalent to a baccalaureate in computer engineering from an accredited engineering program. Students from other engineering disciplines or from other areas of science or mathematics may be considered for admission to the program; however, additional coursework may be required to complete the graduate program. 
• GPA: A minimum GPA of 3.0 on a 4.0 scale in upper-division coursework. 
• GRE Scores: GRE revised scores of 154 (verbal), 156 (quantitative) and 4 (analytical writing components) are advisable based on the program’s student success outcomes. 
• English Proficiency: For international students, a minimum TOEFL score of 80 or an IELTS score of 6.5. Scores must be less than two years old. See the Graduate Catalog for additional information regarding English proficiency requirements for international applicants. 

Applications are accepted for the fall, spring, and summer terms. To apply, visit the UT Dallas Graduate Admissions page for more details. 

Students may choose to pursue a thesis or non-thesis track. The non-thesis path is ideal for those aiming to enter industry directly, while the thesis option is well-suited for students considering PhD-level study or research roles. 

Professional Certificate in Machine Learning for Engineers and Scientists

The Machine Learning for Engineers and Scientists professional certificate, offered by UTD’s Electrical and Computer Engineering Department, introduces industry professionals and project managers to fundamental and applied machine learning concepts, enhancing their competitiveness in AI-driven industries.

Requirements

• A BS degree in any engineering or science field
• Consists of three machine learning modules
• Offered in a flexible mode over nine Saturdays

Computer Engineering Career Opportunities and Salary Outlook

Graduates of the MS in computer engineering program are prepared for advanced positions in fields such as: 

• Hardware design 
• Embedded systems development 
• Software engineering 
• Machine learning 
• VLSI design 

Potential employers include top companies in the tech, telecom and defense industries, such as Texas Instruments Inc., Raytheon Co., Lockheed Martin Corp. and NVIDIA. 

Salary Outlook 

According to the U.S. Bureau of Labor Statistics and industry data, median annual salaries for computer engineering roles include: 

• Computer hardware engineers: $155,000 
• Software developers: $133,000 
• Machine learning engineers: $128,000 
• Embedded systems engineers: $133,000 
• VLSI design engineers: $131,000  

Salary ranges vary based on job function, experience level, industry and location. Graduates of the MS in computer engineering program are well-positioned for high-paying careers in tech. 

Computer Engineering Funding and Financial Aid

UT Dallas offers several funding options, including: 

• Graduate assistantships 
• Scholarships and fellowships 
• External grant support 

Visit Graduate Fellowships and Scholarships for more info.