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Welcome to Lyle!

The Lyle School of Engineering at Southern Methodist University develops the next generation of industry leaders.

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100% Online Engineering Programs

The Lyle School of Engineering has developed a reputation as a leader in telecommunications and computer science education. Now, the Online M.S. in Network Engineering and the Online M.S. in Computer Science with Artificial Intelligence Specialization extends the acclaimed Lyle experience to students around the world. Led by actively working and industry-leading faculty members, students in these programs gain the foundational knowledge and hands-on experience needed to excel in their careers.

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A Focus on Practicality

Both programs eschew endless lectures on theory. Instead, they provide students with tangible skills they can immediately apply.

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A Unique Online Experience

Students receive an on-campus experience online with weekly hands-on sync sessions to offer more face time with professors.

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Access to Industry Leaders

Many of our faculty members are actively working industry professionals. Additionally, students experience guest lectures from leaders at top companies.

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SMU Lyle's Online Programs

Any profession dealing with technology faces change at a breakneck pace. Professionals can be challenged to keep up with the rapid change related to hardware and software innovations –– unless you are equipped with a thorough foundational understanding of the core concepts related to these fields. The online master’s programs in SMU’s Lyle School of Engineering ensure students develop this fundamental knowledge, preparing them to adapt to any and all technological changes with ease.

Which Program Is Right for You?

What degree is best for your career? Explore the program that will help you reach your goals.

SMU Lyle MSCS-AI graduate students at work on a robot

Online M.S. in Computer Science with AI Specialization

The Online Master of Science in Computer Science with Artificial Intelligence Specialization is a practical degree that teaches students how to implement effective artificial intelligence and machine learning solutions in their organizations. Students develop the tools to mitigate challenges with AI strategies while always looking for opportunities for further innovation.

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SMU Lyle MSNE at work desk with computers

Online M.S. in Network Engineering

The Online Master of Science in Network Engineering provides students with a fundamental understanding of the core concepts of network engineering. Students put these concepts into practice through extensive lab work that mimics real-world scenarios. As a result, graduates are equipped to adapt to new technology and ensure their organizations are always at the forefront of the industry.

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SMU Lyle Online Highlights

The online degrees from the Lyle School of Engineering offer students around the country the opportunity to experience an SMU education without having to ever step foot on campus.

SMU Lyle Online graduate student reviewing coursework on laptop computer

Industry-Leading Faculty

Online students experience a curriculum designed by our distinguished faculty and highly experienced practitioners. Weekly sync sessions offer students the chance to gain valuable face time with their professors.

24/7 Resource Access

Students can access online resources — such as notes, course schedules, and even lectures — from anywhere with SMU’s mobile app.

Varied Coursework Modalities

Our coursework includes engaging video lectures, quizzes, case studies and more — accessible anytime, anywhere.

Tuition & Financial Aid

Online M.S. in Network Engineering

Credits

30

Cost per Credit

$1,350

Online Student Distance Fee

$100 per credit hour

Total Cost of Program

$43,500

Online M.S. in Computer Science with Artificial Intelligence Specialization

Credits

30

Cost per Credit

$1,350

Online Student Distance Fee

$100 per credit hour

Total Cost of Program

$43,500

Key Dates & Deadlines

Take a look at upcoming application deadlines and semester start dates for the Online M.S. in Network Engineering and the Online M.S. in Computer Science with Artificial Intelligence Specialization.

Early Review

Priority

Submit I

Priority Submit II

Final Submit Deadline

Start of Classes

Fall 2022

Passed

Passed

June 24, 2022

July 15, 2022

August 2022

Spring 2023

August 26, 2022

September 23, 2022

October 21, 2022

November 11, 2022

January 9, 2023

* Reduced application fee

Upcoming Events

Tuesday, July 12th
6:00pm CT

MSNE and MSCS-AI Program and Application Overview

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Wednesday, July 27th
6:00pm CT

MSNE and MSCS-AI Program and Application Overview

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Tuesday, August 23rd
6:00pm CT

MSNE and MSCS-AI Program and Application Overview

Register Now