Master of Engineering in Computer Engineering - Dartmouth
The Master of Engineering in Computer Engineering from Dartmouth College offers a comprehensive online program focusing on intelligent systems and advanced computer engineering concepts. Through nine carefully curated courses, students gain expertise in sensing and computing components while developing leadership and communication skills. The program features industry-relevant projects and guidance from patent-holding professors.
Instructors:
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Course Start Date:
Starting soon
Application Deadline:
15th Nov, 2025
Duration:
15-27 Months
₹ 37,33,506
Overview
The Dartmouth MEng in Computer Engineering is a cutting-edge program that combines advanced technical education with practical industry applications. The program features nine comprehensive courses delivered by world-class faculty, focusing on intelligent systems and modern computer engineering principles.
Why MTech (Master of Technology)?
The program offers unique advantages including Ivy League faculty expertise, flexible online learning, and strong career outcomes with nearly 100% placement. Students benefit from industry-relevant projects, patent-holding professors, and a curriculum aligned with the US CHIPS Act.
What does this course have to offer?
Key Highlights
Weekly live sessions with faculty
Flexible completion timeline
Ivy League teaching quality
Industry-relevant projects
Comprehensive career services
Diverse student community
Who is this programme for?
Engineering professionals seeking advancement
STEM graduates transitioning to computer engineering
Professionals interested in intelligent systems
Individuals pursuing leadership roles in technology
Minimum Eligibility
Bachelor's degree in engineering or related STEM field
English proficiency for international students
Access to computer and stable internet
Who is the programme for?
The program follows a flexible admission process considering both academic background and professional experience. Coursework is structured into nine 10-week courses, with students able to take 1-2 courses simultaneously. The program can be completed in 15-27 months based on individual pace.
Important Information
Selection process
How to apply?
Curriculum
The curriculum comprises nine carefully designed courses focusing on intelligent systems and computer engineering fundamentals. The program integrates theoretical concepts with practical applications through collaborative projects and hands-on learning experiences.
There are 9 semesters in this course
The program consists of nine thematically linked courses covering advanced computer engineering topics. Each course emphasizes both theoretical understanding and practical application through industry-relevant projects. The curriculum includes specialized content in intelligent systems, sensing technologies, and computing components.
Machine Learning (Early Requirement)
Signal Processing (Early Requirement)
Applied Natural Language Processing (Prerequisites required: Signal Processing and Machine Learning)
Machine Vision (Prerequisites required: Signal Processing and Machine Learning)
Deep Learning for Sensor Data (Prerequisites required: Signal Processing and Machine Learning)
Embedded Systems (recommended to be taken early)
FPGA Architecture and Algorithms (ideally, taken after Embedded Systems)
Distributed Computing
Smart Sensors (must be taken last, Distributed Computing may be taken concurrently)
Programme Length
The program offers flexible completion options ranging from 15 to 27 months. Students can take one or two courses at a time, with each course running for 10 weeks.
Whom you will learn from?
Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.
Instructors
Associate Professor of Engineering; Program Area Lead: Electrical and Computer Engineering
Dr. Kofi M. Odame is an Associate Professor of Engineering at Dartmouth College, where he leads the Electrical & Computer Engineering program area. His expertise lies in analog integrated circuits for nonlinear signal processing, focusing on developing ultra-low power circuits for implantable and wearable biomedical devices, as well as next-generation image sensors. Dr. Odame holds a BSc and MSc in Electrical and Computer Engineering from Cornell University and a PhD from the Georgia Institute of Technology. His notable research projects include electrical impedance tomography for pulmonary and cardiac applications, custom integrated circuits for prostate imaging, and asthma symptom monitoring. He has published extensively in reputable journals and has received several awards, including the Jeff Crowe '78 Grand Prize at the Dartmouth Entrepreneurs Forum. Additionally, he is a Senior Member of IEEE and serves on various NIH study sections.
MEng Faculty Director; Professor of Engineering
Dr. Eugene Santos Jr. is the Sydney E. Junkins 1887 Professor of Engineering at Dartmouth College, where he also serves as the Director of the Master of Engineering Program. His research interests encompass a wide range of topics, including nonlinear decision-making, innovative reasoning, emergent behavior, and probabilistic reasoning. Dr. Santos holds multiple degrees: a BS and MS in Mathematics from Youngstown State University, an ScM in Computer Science from Brown University, and a PhD in Computer Science from Brown University. He is actively involved in professional activities, serving on various editorial boards and as a member of the Department of the Air Force Scientific Advisory Board. His research projects include developing computational models for understanding complex systems and decision-making processes, with applications in fields such as healthcare and artificial intelligence.
Tuition Fee
Total program cost is ₹37,33,506 with a pay-as-you-go model at ₹4,14,834 per course. Payment is made before each course, with financial aid and employer reimbursement options available.
Fee Structure
Payment options
Financing options
Financial Aid
Learning Experience
Students engage through weekly live sessions, lecture videos, and interactive projects. The program features regular faculty interaction through office hours and collaborative learning opportunities with peers.
University Experience
Dartmouth provides a comprehensive online learning experience with access to faculty expertise and career services. Students can participate in graduation ceremonies on campus and join a prestigious alumni network.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
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About the University
Founded in 1769, Dartmouth College is a private Ivy League research university located in Hanover, New Hampshire. It is known for its strong emphasis on undergraduate education, offering a liberal arts curriculum across various disciplines. Dartmouth provides a unique educational experience through its commitment to small class sizes, close faculty-student relationships, and a vibrant campus community.
6761
Total Students
4556
Undergraduate Students
2205
Graduate Students
Affiliation & Recognition
New England Commission of Higher Education
Ivy League Membership
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Instructors
Academic Director at Dartmouth College
Amanda Graham, PhD, is the Academic Director at Dartmouth's Irving Institute for Energy and Society, focusing on community engagement in energy systems. She previously held leadership roles at MIT.
Professor of Environmental Studies, Emeritus Richard and Jane Pearl Professorship in Environmental Studies, Emeritus
Andrew Friedland is an environmental scientist with 35 years of experience studying air pollution in high-elevation forests. He researches element cycling, biomass removal impacts, and teaches environmental science and biogeochemistry.
Career services
The Center for Professional Development at Dartmouth College provides extensive career support for students. Services include personalized career counseling, resume workshops, job fairs, and networking events with alumni and industry professionals. The center also facilitates internships and co-op opportunities to enhance practical experience.
95%
Job Placement Rate
2000+
Career Counseling Sessions
30+
Employer Engagement Events
Course Start Date:
Starting soon
Application Deadline:
15th Nov, 2025
Duration:
15-27 Months
₹ 37,33,506
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.