Master of Science in Advanced and Intelligent Manufacturing

Master of Science in Advanced and Intelligent Manufacturing

Advanced, Smart, and Digital Manufacturing

The Department of Mechanical and Industrial Engineering offers the Master of Science (MS) in Advanced and Intelligent Manufacturing (AIM) to meet the growing demand for engineers, researchers, and scientists trained in advanced manufacturing and Industry 4.0 technologies.

The advent of the industrial internet of things, additive manufacturing (3D printing) of parts and electronics, advanced materials with unique properties, and efficient manufacturing processes transforms manufacturing operations into advanced manufacturing. Advanced manufacturing focuses on developing innovative technologies to create existing and new products by leveraging novel emerging materials, advanced processes, information, automation, computation,  sensing, AI, and digitalization.

Through a curriculum focused on advanced, smart, and digital manufacturing, the MS in Advanced and Intelligent Manufacturing prepares students to be researchers for development of advanced manufacturing technologies, and leaders for managing advanced manufacturing enterprises.

The program is open to students with a Bachelor of Science degree in engineering, science, mathematics, or equivalent field. This degree program offers students an opportunity to either train for industry jobs with coursework and co-op experience or prepare for a doctoral program through coursework and research experience.

Innovative Curriculum - MS in Advanced and Intelligent Manufacturing

Three key curriculum components of the MS in Advanced and Intelligent Manufacturing program are ‘advanced’, ‘smart’, and ‘digital’. These are among the top 10 most promising advanced technologies transforming the global manufacturing industry, according to the U.S. ranking of the Global Manufacturing Competitiveness Index (2016). Within these areas, students learn cutting-edge technologies, including courses on the internet of things, intelligent manufacturing, data analytics engineering, robotics, materials engineering, nano and microscale manufacturing, and additive manufacturing.

Advanced Manufacturing includes conventional manufacturing, additive manufacturing, and nanomanufacturing. Conventional manufacturing covers metal removal, forming, casting, and particulate processes. Additive manufacturing covers topics such as 3D printing of parts using different approaches. Nanomanufacturing includes conventional fabrication as well as printing of micro and nano devices and design and creation of multifunctional materials using automation and scalable processes.

Smart manufacturing focuses on factory automation, process monitoring and control, diagnostics, prognostics and maintenance, cloud-enabled manufacturing, and industrial internet of things for manufacturing performance assurance.

Digital manufacturing leverages real-time data analytics and control systems, advanced high-fidelity models, networked data, and computation for seamless interoperation of cyber and physical assets in manufacturing facilities.

In smart and digital manufacturing, all entities, including people, parts, products, equipment, systems, suppliers, and logistics and transportation systems are connected to achieve enterprise-level efficiency.

An interdisciplinary program with a focus in mechanical and industrial engineering, courses build upon the principles and knowledge in materials science and engineering, mechanical engineering, industrial engineering, computer science, robotics and controls engineering, electrical and computer engineering, and business administration.

Students can complete the master’s degree by pursuing any of the three tracks: coursework option, project option, and thesis option.

The MS in Advanced and Intelligent Manufacturing is a full time program offered in Boston, on campus.

The MS in Advanced and Intelligent Manufacturing is designed to help students acquire knowledge and skills to:

  • Build digital (CAD) models of parts and products to support manual and computer-aided manufacturing.
  • Design, develop, and analyze traditional and advanced material processing technologies and manufacturing systems.
  • Utilize additive manufacturing to produce complex parts with ease and efficiency.
  • Design and operate advanced and intelligent manufacturing systems enabled by data analytics, machine learning, cloud computing, and industrial internet of things.
  • To become familiar with engineering materials used in manufacturing and their mechanical properties.
  • Understand the capabilities of modern manufacturing processes
  • Learn the capabilities of basic manufacturing processes and equipment.
  • Learn about (i) emerging trends in manufacturing, and (ii) challenging issues in American manufacturing, and identify or develop ideas based on (i) to resolve the challenges in (ii).

Experiential Learning

Northeastern combines rigorous academics with experiential learning and research to prepare students for real-world engineering challenges.

Students have robust research opportunities through Northeastern’s multidisciplinary research centers and institutes, including its manufacturing infrastructure such as the George J. Kostas Nanoscale Technology and Manufacturing Research Center, the National Science Foundation Center for High-Rate Nanomanufacturing, and the Advanced Nanomanufacturing Cluster for Smart Sensors and Materials. Other related Northeastern University research centers and institutes are also available such as the Institute for the Wireless Internet of Things, the Institute for Experiential Robotics, and the Institute for Information Assurance. Northeastern also has partnerships with national research labs, who are involved in advanced manufacturing research, and several industry collaborations.

The cooperative education program, also known as a “co-op,” is one of the largest and most innovative in the world, and Northeastern is one of only a few that offers a co-op program for graduate students. Through this program, students gain industry experience in a wide variety of organizations, from large companies to entrepreneurial start-ups. Northeastern has partnerships with many small and medium-scale manufacturing companies and strong collaborations with large organizations such as GE, IBM, Raytheon, Dell EMC, Flex, Northrop Grumman, and Analog Devices.

3D printed sample

Program Goals

Educational Objectives

The MS in Advanced and Intelligent Manufacturing produces researchers for the development of advanced manufacturing technologies and leaders for managing advanced manufacturing enterprises.

Career Outlook

Graduates of the MS in Advanced and Intelligent Manufacturing program can join as engineers at high-tech companies, become managers at government agencies, or pursue PhD degrees in advanced manufacturing at U.S. universities. Career opportunities are available in key sectors such as aerospace, automotive, computers, manufacturing, chemical processes, electronics, materials, controls, instruments, and power and energy systems.

The fourth industrial revolution, or Industry 4.0, is transforming manufacturing operations to advanced manufacturing by extending digital technology with interconnectedness using the internet of things, access to real-time data, and cyber-physical systems. Globally, nine out of ten companies are investing in digital factories*, and various U.S. federal agencies have collectively created the National Network for Manufacturing and Innovation Institutes (NNMII), referred to as Manufacturing USA, to invest in innovative advanced manufacturing technologies. Northeastern is a member of five NNMIIs. At the same time, according to Talent Board, there is a severe shortage of people trained in advanced manufacturing with 50% to 75% of people applying to positions unqualified, and there is an over 30% shortage of engineers, researchers, and scientists.

*Digital Factories 2020: Shaping the future of manufacturing

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