The M.Eng. in Chemical Engineering at Cornell University’s R.F. Smith School of Chemical and Biomolecular Engineering is a one-year, 30-credit professional degree designed for students who want to develop advanced technical, leadership, and practical skills for industry careers. The program combines chemical engineering with data science and AI, energy economics and engineering, or medical and industrial biotechnology, while giving students the opportunity to solve real-world challenges through an immersive design project.
Curriculum Structure:
Semester 1:
Students begin by developing professional, leadership, computational, and analytical skills through CHEME 5020 – Immersive Professional Development for Chemical Engineering M.Eng. and CHEME 5800 – Principles of Computational Thinking for Engineers. The curriculum also introduces students to data science, AI, process modelling, innovation, entrepreneurship, project management, and professional communication, creating a strong foundation for their chosen focus area.
Semester 2:
The second semester moves toward advanced application and collaborative problem-solving through CHEME 5820 – Machine Learning and Artificial Intelligence Methods for Engineers, CHEME 5651 – M.Eng. Design Project Studio, and CHEME 5650 – Design Project. Students work on a team-based immersive project addressing real-world challenges, with projects connected to areas such as data/AI/process engineering, energy, and biotechnology, while also completing business-practice and societal/environmental-impact coursework.
Focus Areas:
Data Science and Artificial Intelligence (DS/AI), Energy Economics and Engineering (EEE), Medical and Industrial Biotechnology (MIB), process modelling, machine learning, AI, energy systems, biotechnology, business practice, sustainability, entrepreneurship, innovation and engineering leadership.
Learning Outcomes:
Graduates learn to analyze, model, and optimize chemical and biomolecular systems; construct computational models and data-analysis pipelines; apply machine learning and statistical methods to engineering problems; assess the technical and economic feasibility of energy systems; design bioprocesses; perform techno-economic and sustainability assessments; and develop implementable engineering solutions through professional team projects.
Professional Alignment (Accreditation):
The Cornell M.Eng. in Chemical Engineering is a professional, terminal graduate degree designed for industry rather than a research thesis pathway. Cornell describes the program as an industry-focused degree with real-world projects, and the M.Eng. itself is not presented as a separately ABET-accredited program; Cornell's ABET accreditation applies to its undergraduate Chemical Engineering B.S. program.
Reputation & Employability:
Cornell's R.F. Smith School highlights employers associated with its M.Eng. program including Air Products and Chemicals, Amazon, AstraZeneca, Bristol Myers Squibb, Exxon Mobil, General Electric, Genentech, Merck, PepsiCo, Procter & Gamble, Tesla, Samsung, and Veolia, alongside job outcomes such as Chemical Process Engineer, Process Engineer, Battery Engineer, Manufacturing Engineer, Machine Learning Engineer, Energy Analyst, and Materials Development Engineer.
Cornell also reports that, over the past several years, CBE M.Eng. starting salaries have averaged $5,000–$10,000 higher than starting salaries for Cornell Chemical Engineering undergraduates. Cornell provides a Graduate Student Outcomes dashboard with employment and starting-salary data that can be filtered by degree and program.
In addition, Cornell reported in 2025 that its Chemical Engineering M.Eng. Data Science and Artificial Intelligence focus was ranked the best on-campus M.Eng. program in Data Science for AI or Machine Learning by Artificial Intelligence Education Guide.
Cornell’s M.Eng. in Chemical Engineering is strongly built around applied, industry-oriented learning rather than a traditional research thesis. Every student completes an immersive, team-based design project under Cornell faculty mentorship, with projects sponsored by CBE partner companies, faculty, startups, or other organizations; students use technical analysis alongside financial, feasibility, project-management, teamwork, and communication skills to address real engineering challenges.
The program also develops computational and AI capabilities through CHEME 5800 – Principles of Computational Thinking for Engineers and CHEME 5820 – Machine Learning and Artificial Intelligence Methods for Engineers. Students can connect these skills with Cornell's research and engineering infrastructure in Olin Hall and across campus, giving the program a practical bridge between classroom learning, engineering design, and industry applications.
Students gain practical experience through the following program-specific opportunities and resources:
Cornell’s M.Eng. in Chemical Engineering is designed to prepare students for professional careers by combining advanced technical knowledge with industry-focused projects, leadership development, and practical problem-solving. Graduates can pursue opportunities across chemical processing, energy, biotechnology, pharmaceuticals, materials, manufacturing, data and AI, and consulting.
Typical career roles: Chemical Process Engineer, Process Engineer, Manufacturing Engineer, Energy Analyst
Students can strengthen their transition into industry through Cornell’s dedicated career resources and employer connections:
Further Academic Progression:
The Cornell Chemical Engineering M.Eng. is explicitly described as a terminal degree and does not progress toward a doctoral degree at Cornell. Students whose primary goal is research or a Ph.D. should therefore consider a research-focused graduate pathway rather than treating this M.Eng. as a direct Ph.D. route.
Students interested in continuing their education can pursue doctoral study at another institution or seek a related graduate qualification aligned with their developing specialization. Cornell separately offers an M.S. in Chemical Engineering, which is research-oriented and has documented graduates progressing to Ph.D. programs at institutions including Cornell, Columbia, Penn State, UC Riverside, the University of Washington, and Ohio State.



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