Advanced Technology (MS)

The M.S. in Advanced Technology is a course-based, advanced degree program designed for professionals who want to expand their knowledge, learn new skills, and advance their careers in advanced manufacturing industries.

Focusing on enabling technologies in advanced manufacturing industries this pioneering program uses an applied learning approach that is centered on cutting edge methods for current and next-generation high volume manufacturing in both advanced manufacturing and nanomanufacturing. Students in the program get unparalleled education from our world-class faculty and benefit from taking classes at SUNY Poly’s Albany Nanotech Complex, where the program leverages the on-site process flow development activities and resources and the Utica Center for Global Advanced Manufacturing, where students will have access to advanced machine tooling, characterization and testing equipment.

M.S. in Advanced Technology Students
Students admitted to the program typically have earned an engineering, engineering technology, computer science, natural science or similar baccalaureate degree. Transfer credits for post-baccalaureate courses or certificates may be awarded advanced standing on a case-by-case basis. With many classes meeting in the evenings or on-line, the course schedule of the M.S. in Advanced Technology program is tailored for a working professional’s schedule.

Program Structure
The program consists of nine credits of required coursework, 12 credits of designated electives (a 6 credit thesis or project is available for students wishing to pursue those options), and 12 credits of general electives.

The MSAT degree is designed with tracks, for those students who are looking for a degree focused in a specific area of advanced technology. Currently, a track is offered in Semiconductor Processing and Nanomanufacturing.

What You Will Study
Students complete 33 credits, split between core and elective coursework. All students are required to take three of the following five courses.

  • MST 503 Special Topics in Advanced Technology
  • MST 510 Engineering and Society
  • MST 520 Network Technology for Multimedia Systems
  • MST 673 System Simulation
  • MST 680 Reliability and Quality Assurance

An additional eight courses, four Designated Electives and four General Electives need to be completed for the degree.  The Designated and General Electives vary depending upon the track that the student is completing. Students are not required to complete a thesis or project to earn this degree.

Semiconductor Processing and Nanomanufacturing
The overarching structure of the Semiconductor Processing and Nanomanufacturing Technology focus encompasses the design and development of process flows for advanced design rules, material sets, and device architectures at its core. Designated electives allow our students to delve further into specific subjects, such as metrology and process control, reliability, lithography, data analytics, optoelectronics, or photonics. The coursework will be aptly supplemented with actual case studies that will teach systematic problem solving methodologies for yield and process issues. A step-by-step approach to following an industry-relevant FINFET flow will provide hands-on experience in lot tracking and inspection practices over multiple process sectors including lithography, etch & CMP.

Designated Electives: 12 credit hours

  • NNSE 507/605 Semiconductor Processing
  • NNSE 661 Semiconductor Metrology
  • NNSE 608 Principles of Reliability for Semiconductor and Nanoscale Applications
  • NNSE 513 Economic Principles of Nanotechnology Management

General electives: 12 credit hours

  • NNSE 651 Fundamentals of Nanolithography I
  • NNSE 665A Electron beam analysis
  • NNSE 667 Surface Analysis of Nanostructures
  • NNSE 670 Transmission electron microscopy
  • NNSE 615 Semiconductor optoelectronic devices and nanophotonics
  • MAT 505 Intro to probability
  • STA 510 Regression and analysis of variance
  • MST 570 Design and analysis of experiments
  • MAT 550 Time series analysis
  • NNSE 624 Finance and Valuation of Nanotechnology Based Firms
  • NNSE 623 Competitiveness in Nanomanufacturing Industries
  • NNSE 664 Innovation and Entrepreneurship in Nanotechnology