Master of Engineering in Computer Engineering

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Dartmouth College 徽标

Master of Engineering in Computer Engineering

Dartmouth College

Ivy League degree

From one of the first U.S. professional engineering schools, Thayer School of Engineering at Dartmouth

15-27 months

9 courses total, 15-17 hours per week per course

$44,982 USD total cost

Pay only for courses you enroll in per term ($4,998 each)

On-campus quality

Same teaching faculty, curriculum, and master’s diploma as on-campus students

100% online

Live sessions, lecture videos, hands-on projects, connection with instructors and peers

A flexible, industry-aligned curriculum designed by Dartmouth engineering faculty

This nine-course curriculum is designed for working professionals and offers flexibility (some courses have prerequisites) in course sequencing while maintaining a clear, structured path through the program. 

The curriculum spans these core areas: Extracting Information from Data, Hardware for Intelligent Systems, and the Capstone preparing students  to design, build, and deploy intelligent systems at scale. Courses in Extracting Information from Data include Machine Learning and Signal Processing, followed by Deep Learning, Applied Natural Language Processing, and Machine Vision. The Hardware for Intelligent Systems area covers Embedded Systems, Advanced FPGA Design, and Distributed Computing.

All courses are designed specifically for this program to reflect today’s engineering challenges and emphasize collaborative, project-based learning. Students work in teams using industry-standard practices, such as two-week sprints and defined deliverables, mirroring real-world engineering environments.

Engineering without boundaries
Instead of traditional disciplinary departments, Dartmouth Engineering uses a cross-disciplinary system, built on close-knit collaborative teams
Human-centered methodologies
At Dartmouth, you will learn to use technology to seek human-centered solutions to complex real-world challenges
Global collaborations
Collaborate on projects with geographically-distributed team members and course delivery staggered to match your time zone
Active feedback and assessments
You will collaborate with peers on industry-relevant engineering challenges, actively learning and guided by direct feedback from faculty

2026 年秋季班的申请现已开始!

  • 优先截止日期:2026 年 5 月 15 日(免申请费)
  • 申请截止日期2026 年 6 月 15 日

近期活动

  • 4 月 30 日: 达特茅斯 - Reed Harder 教授现场示范课 -在此注册
  • 5月7日: 达特茅斯工程硕士办公时间 -在此注册

其他资源

2026 年秋季班的申请现已开始!

  • 优先截止日期:2026 年 5 月 15 日(免申请费)
  • 申请截止日期2026 年 6 月 15 日

近期活动

  • 4 月 30 日: 达特茅斯 - Reed Harder 教授现场示范课 -在此注册
  • 5月7日: 达特茅斯工程硕士办公时间 -在此注册

其他资源