Name: Master of Science in Engineering Science (Robotics)
Price: 21,71,785 INR
Availability: InStock

About this course

About this course
- Overview
- Department
Study options
Entry requirements
- International

What will I learn?

The Engineering Science MS with a course focus in Robotics, offers an interdisciplinary curriculum designed to provide students with comprehensive training in robotics and automation. This program aims to equip students with the skills and knowledge necessary for a wide range of employment opportunities in the electronic and computer industries. Additionally, it serves as a solid foundation for those considering further education at the doctoral level.The courses offered in this program cover various areas of robotics, including robotic integration, motion control development, electromechanical system design, device/sensor development, automation platforms, and artificial intelligence (AI). By engaging with these topics, students gain practical expertise and theoretical understanding of robotics, preparing them for the challenges and advancements in the industry.

Which department am I in?

School of Engineering and Applied Sciences

Study options

Full Time (1.5 Years)

Tuition fees

$25,740.00 (21,71,785) per year

*Price shown is for indicative purposes, please check with institution

Application deadline

15/10/2026

Start date

January 2027

Venue

North Campus

Flint Entrance,

Amherst,

Massachusetts,

14260, United States

Full Time (1.5 Years)

Tuition fees

$25,740.00 (21,71,785) per year

*Price shown is for indicative purposes, please check with institution

Start date

August 2027

Venue

North Campus

Flint Entrance,

Amherst,

Massachusetts,

14260, United States

Entry requirements

For international students

To apply to the Engineering Science (Robotics) MS program, students should have a background or related coursework in electrical engineering, mechanical engineering, aerospace engineering, computer engineering, computer science, mathematics, physics or a related physical science or engineering field. A strong background in math topics such as linear algebra, probability, numerical analysis and optimization, and associated programming experience is a bonus. Further, prior background in robotics is also a bonus.