A cross-disciplinary Master’s that applies artificial intelligence to chemical engineering and process problems. You’ll learn modeling, data-driven methods, and trustworthy AI approaches to support research and industry innovation.
The Master's program in Artificial Intelligence Engineering - Chemical Engineering at Carnegie Mellon University is a unique interdisciplinary course that integrates artificial intelligence with chemical engineering principles. This program is designed to equip students with essential skills in modeling, data-driven methodologies, and trustworthy AI practices, thereby fostering innovation in both research and industry.
Programme Structure
Indicative coursework areas
Projects and applied learning
Admission into the program is based on academic credentials and the strength of the application. While specific GRE or GPA requirements are not currently established, a solid foundation in relevant fields is beneficial.
English requirements
Non-native English speakers may need to provide proof of English proficiency, depending on their educational background. It is advisable to check with CMU Graduate Admissions for the latest policies regarding language requirements.
Graduates of this program will be well-prepared for careers in various sectors, including chemical engineering, technology, and research. The integration of AI into chemical engineering opens numerous opportunities for innovation and advancement in these fields, equipping students with the skills to tackle complex challenges and contribute to significant industry developments.
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