Master of Engineering in Computer Engineering | Dartmouth College | Coursera For Individuals For Businesses For Universities For Governments Explore Degrees ​ Log In Join for Free Join for Free Master of Engineering in Computer Engineering Apply now Request info Webinar on August 24: The Next Decade of Engineering Careers | Register here Master of Engineering in Computer EngineeringDartmouth 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, 15-20 hours per week per course $46,602 USD total cost Pay only for courses you enroll in per term ($5,178 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 Overview Admissions Academics Tuition & financing Careers Student experience Gain advanced technical and leadership skills for senior engineering roles, backed by an Ivy League credential Whether you are an experienced professional or have a related STEM background, this program helps you master the advanced skills needed for a high-level career. In a sector experiencing unprecedented investment, Dartmouth’s  specialized nine-course curriculum provides a deep understanding of intelligent systems and the technologies transforming our world. Learn directly from Ivy League professors who are active researchers and proven innovators holding nearly 400 patents. The curriculum centers on industry-relevant collaborative projects, providing hands-on experience and detailed faculty guidance. Delivered through a flexible online format designed for working professionals, this practical approach ensures you graduate with the technical expertise and expert leadership skills needed to solve complex, human-centered problems. A Dartmouth MEng in Computer Engineering is a powerful investment in your future. Graduates of Dartmouth Engineering’s advanced degree programs have a nearly 100% career placement rate within six months of graduation. This program provides a  world-class credential, practical skills, and an alumni network you need to achieve your professional goals.What sets this program apart? Structured online learning Set your own pace online by taking one or two 10-week courses at a time, fitting your degree around your life. Expert faculty guidance Receive direct guidance from world-class Dartmouth faculty through live weekly sessions and office hours. Applied learning with hardware kits Build real-world applications from home using custom hardware kits that are shipped directly to you. Career-defining alumni network Join an elite Ivy League network where over 25% of engineering graduates advance to C-suite roles. Ivy League curriculum Earn the same MEng degree as on-campus students and learn from the same renowned faculty. Diverse and collaborative cohort Collaborate within a global peer group through interactive, project-based learning. Applications for the Spring 2027 cohort are open! Application priority deadline: November 15, 2026Upcoming events August 24: The Next Decade of Engineering Careers - Register here Additional resources Curriculum Deep Dive: Watch the video Professor Guided Course Overview: Watch the video 2024 Student Panel: Watch the video Spring 2027 cohort priority deadline: November 15 Apply nowRequest info 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, 15-20 hours per week per course $46,602 USD total cost Pay only for courses you enroll in per term ($5,178 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 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, 15-20 hours per week per course $46,602 USD total cost Pay only for courses you enroll in per term ($5,178 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 peersView More Gain advanced technical and leadership skills for senior engineering roles, backed by an Ivy League credential Whether you are an experienced professional or have a related STEM background, this program helps you master the advanced skills needed for a high-level career. In a sector experiencing unprecedented investment, Dartmouth’s  specialized nine-course curriculum provides a deep understanding of intelligent systems and the technologies transforming our world. Learn directly from Ivy League professors who are active researchers and proven innovators holding nearly 400 patents. The curriculum centers on industry-relevant collaborative projects, providing hands-on experience and detailed faculty guidance. Delivered through a flexible online format designed for working professionals, this practical approach ensures you graduate with the technical expertise and expert leadership skills needed to solve complex, human-centered problems. A Dartmouth MEng in Computer Engineering is a powerful investment in your future. Graduates of Dartmouth Engineering’s advanced degree programs have a nearly 100% career placement rate within six months of graduation. This program provides a  world-class credential, practical skills, and an alumni network you need to achieve your professional goals.What sets this program apart? Structured online learning Set your own pace online by taking one or two 10-week courses at a time, fitting your degree around your life. Expert faculty guidance Receive direct guidance from world-class Dartmouth faculty through live weekly sessions and office hours. Applied learning with hardware kits Build real-world applications from home using custom hardware kits that are shipped directly to you. Career-defining alumni network Join an elite Ivy League network where over 25% of engineering graduates advance to C-suite roles. Ivy League curriculum Earn the same MEng degree as on-campus students and learn from the same renowned faculty. Diverse and collaborative cohort Collaborate within a global peer group through interactive, project-based learning. Applications for the Spring 2027 cohort are open! Application priority deadline: November 15, 2026Upcoming events August 24: The Next Decade of Engineering Careers - Register here Additional resources Curriculum Deep Dive: Watch the video Professor Guided Course Overview: Watch the video 2024 Student Panel: Watch the video Individualized admissions Applicants with an accredited bachelor’s level degree in either engineering or a related STEM field such as computer science or physics should be well prepared for success in this graduate program. If you’re concerned your STEM degree (or equivalent professional engineering experience) may not provide enough background knowledge, our admissions staff will be happy to work with you to discuss your readiness and explore any additional prerequisite coursework that could help you achieve the required entry level. For more information, contact admissions at online.engineering@dartmouth.edu. Flexible, pay-as-you-go tuition lets you match your studies to your lifestyle $46,602 USD With flexible payment options, you can pursue a high-quality Ivy League education at the pace you choose. Pay-as-you-go tuition Each time you take a course, pay tuition for that course only. Financial aid opportunities Interested in exploring payment and financing opportunities? Find out more information on how to make this program fit your budget. Learn more about tuition & financing A comprehensive, practical computer engineering curriculum In this graduate degree program, you will learn to engineer the sensing and computing components of intelligent systems through nine courses including a capstone. This expertly-curated curriculum, designed and taught by a cross-disciplinary faculty of academics and industry leaders, will immerse you in the knowledge and skill sets necessary to work with intelligent systems and drive the next generation of computer engineering and technology. Learn more Join the Spring 2027 cohort Apply by the priority deadline to join this cohort! Apply now Request info Build toward a degree These courses are part of the degree program. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹ D Dartmouth College Practical Machine Learning: Foundations to Neural Networks Advance your career with Machine Learning Intermediate · Specialization ¹Successful application and enrollment are required. Eligibility requirements apply. Each institution determines the number of credits recognized by completing this content that may count towards degree requirements, considering any existing credits you may have. Click on a specific course for more information. Prepare for this degree These courses may provide you with a preview of the topics, materials and instructors in a related degree program which can help you decide if the topic or university is right for you. D Dartmouth College Data Analytics for Digital Transformation Intermediate · Specialization D I Multiple educators C Programming with Linux Gain skills in computer engineering - C and Linux Beginner · Specialization Frequently asked questions Is there a scholarship available and how does it work? Yes! When you apply by the May 15 priority deadline, you can access a $4,000 scholarship toward your final term and save an additional $75 with the application fee waiver. The scholarship is applied to the final term of the degree, and accepted applicants will receive more details during the admission process. Can I try a course before enrolling for credit? Yes. Learners can preview the program through Dartmouth open courses and sample content before committing to the full degree. This allows prospective students to explore the teaching style, academic level, and subject matter in advance. Check out our Practical Machine Learning Specialization, which covers some of the content from the early weeks of the Machine Learning course in the degree. What will appear on my degree diploma, and is it the same as the on-campus program? Graduates earn the Master of Engineering awarded by Dartmouth’s Thayer School of Engineering. Online students receive the same diploma as students who complete the program on campus. Is Dartmouth Engineering accredited? Yes. Dartmouth and the Thayer School of Engineering are institutionally accredited through the New England Association of Schools and Colleges (NEASC), a United States regional accreditor founded in 1885. What career outcomes can this degree support? This degree is designed for engineers and STEM professionals who want to advance into higher-level roles in computer engineering, intelligent systems, machine learning, embedded systems, and technical leadership. How long does the program take, and how many courses can I take at one time? The program is designed to take about 15 to 27 months to complete. It includes 9 courses total, and students can take up to two courses at the same time. Each course typically requires about 15 to 17 hours of study per week, so taking two courses is considered a full-time load. Is the program fully online, and can I switch between online and on-campus study? Yes. The program is delivered 100% online with live sessions, lecture videos, projects, and interaction with instructors and peers. Students may petition to switch between online and on-campus study on a case-by-case basis, but they may not switch more than once. Online students will be invited to attend Investiture and Commencement ceremonies on the Dartmouth campus, pending completion of all degree requirements. What faculty access, office hours, career support, and student resources are available online? Online students learn from the same Dartmouth Engineering faculty as on-campus students. They can book one-to-one instructor appointments during office hours, access dedicated engineering career services and Dartmouth’s Center for Professional Development, and use many university resources in online formats. Students are also welcome to visit campus when possible. What does the program cost, and how do application fees, financial aid, and per-course payments work? The listed total tuition is $46,602 USD, and students pay $5,178 per course as they enroll rather than paying the full degree cost upfront. Payment for each course is due before the first day of class. The standard application fee is $75, though it is waived if you apply by the priority deadline. Financial aid is not available during the non-degree Performance Pathway phase, but eligible U.S. citizens and permanent residents may apply for federal loans after transitioning into the full degree program. What are the admissions requirements, and what English-language or international eligibility rules apply? Applicants should have a bachelor’s degree in engineering or a related STEM field such as computer science or physics. Relevant professional engineering experience may also be considered, and no work experience is required. English-language test scores are required for many non-U.S. citizens unless they qualify for a listed exemption. International students living abroad can complete the program online from their home country, but students currently in the U.S. who require visa sponsorship are not eligible to take this online program. How does the Performance Pathway work? No separate application is required for the Performance Pathway - simply apply through the main online MEng in Computer Engineering application.. During admissions review, eligible applicants may be placed into this track, where they begin as non-degree students in the Machine Learning course, study alongside degree students, complete the same assignments and group work, and receive academic support. Once pathway requirements are met, the earned credit can apply toward the full MEng degree.Show all 11 frequently asked questions More questions?Visit the learner help center Join the Spring 2027 cohort Apply by the priority deadline to join this cohort! 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