As AI improves, engineers need to level up. Carnegie Mellon University New Master of Science in Artificial Intelligence Engineering (MS AIE) combines the fundamentals of artificial intelligence and machine learning with knowledge from the field of engineering and results in an integrated capstone project – in other words, the rare know-how to develop and apply solutions based on AI in an engineering context.
“I look forward to seeing the transformations that will occur in our profession once these students graduate and enter the job market,” says Mario Bergés, professor in the Department of Civil and Environmental Engineering. “This new generation of engineers will not only be able to master AI tools, but recognize how they can leverage knowledge from the engineering domain to extend it to be more practical and powerful.”
Located in Pittsburgh, Carnegie Mellon University (CMU) has the motto: “Big ideas start here”. Given its reputation as the cradle of innovation since its founding in 1900, this research institute is the ideal place for students seeking to solve global problems and create a transformative impact on major scientific, technological and societal challenges. . Not only are CMU graduates recruited into some of the most prestigious and progressive companies such as Google, Uber and Disney, but they are also making an impact.
In fact, some of the groundbreaking ideas and solutions that we know of have come from CMU alumni. Among them are the Java computer programming language of James Gosling and Duolingo, the language learning app invented by the professor Luis von Ahn.
MS AIE students are ready to do the same. AI has expanded beyond the digital realm of social media and e-commerce. It is now part of physical technologies in areas such as health, communication, manufacturing, etc. MS AIE students will be ready for this new reality.
The program – the first of its kind in the country – trains them to truly integrate AI solutions into practical solutions to civil and environmental engineering problems – abilities/talents not currently addressed by IT or the disciplines traditional engineering alone. “This program is unique in that it recognizes that engineers of the future will need to use and develop AI innovations as part of their toolkit when formulating solutions to the problems they face. “, declares Berges.
The MS AIE foundation courses cover the fundamentals of machine learning as well as the systems and tool chains needed to work with AI systems. “In addition to these fundamentals, students can choose from a wide range of electives and a capstone project course that allow them to focus on specific sub-disciplines of civil and environmental engineering and learn how to leverage solutions of AI in these contexts,” says Berges. The program also teaches students to embrace the ethical or political considerations that are crucial in solution-oriented fields like engineering.
As MS AIE graduates, they are ready to have the upper hand when applying for high-demand careers in civil and environmental engineering. “With these skills, graduates could pursue innovative career paths in areas such as intelligent transportation systems, structural condition monitoring, facilities management and environmental data analysis, to name a few. to name a few,” says Berges. More specific examples of industry positions in these areas include Advanced Analytics Research Scientist, Deep Learning Research Engineer, Senior 3D Process Engineer, and Senior Bioinformatics Quality Engineer.
Many of these graduates attribute their success to the College of Engineering. It’s where they not only grow into creative, technically sound engineers and seek pioneering solutions to global challenges, but also make lifelong connections. The university hosts students representing 118 countries and faculty representing 59 countries. In this diverse and connected global community, everyone belongs and is equipped to succeed.
The best part? Unlike other engineering programs, the MS AIE is open to all bachelor’s degree holders. It is ideal for those who want to master the fundamentals of AI and associated tools, as well as learn the intricacies of effectively integrating those learnings into practical engineering solutions.
If you want a high-demand career in AI and at transform society, learn more about the MS IEA here.
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