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Master of Engineering in Computer Engineering - Dartmouth
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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.

37,33,506

Course Start Date: Spring, 2026

Application Deadline: 15th May, 2026

Duration: 15-27 Months

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 with 50% marks

  • 2.3 years work experience

  • IT background or 2 years IT experience

  • Mandatory campus module attendance

Not sure whether you qualify for this programme?

Admission Overview

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.

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.

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

Financing options

Financial Aid

Need help understanding fees, EMI options, or scholarships?

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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.

University

6761

Total Students

4556

Undergraduate Students

2205

Graduate Students

Affiliation & Recognition

New England Commission of Higher Education
Ivy League Membership

6761

Total Students

4556

Undergraduate Students

2205

Graduate Students

Affiliation & Recognition

New England Commission of Higher Education
Ivy League Membership

Featured 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.

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

40+

Workshops Offered

Degree Course Image

37,33,506

Course Start Date: Spring, 2026

Application Deadline: 15th May, 2026

Duration: 15-27 Months

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.