The computational future awaits
As every MIT faculty member knows, the best way to find the path to the future is to follow our students. So I want to share a vivid map our students are drawing through their cumulative academic choices—a map in which computation seems to be everywhere.
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A few numbers will help make this real. In 2017, 91 percent of graduating seniors completed a class in computational thinking, and 56 percent of MIT undergraduates took one in computer science. Classes in artificial intelligence are the most popular on campus.
Perhaps even more indicative of the rise of computation across disciplines is that about 40 percent of our undergraduates are majoring in a course “with computing.” The obvious ones are 6.2 and 6.3—Electrical Engineering and Computer Science, and Computer Science and Engineering. But every year seems to bring new options for “CS plus something”—such as CS plus mathematics, CS plus molecular biology, CS plus economics and data science, and most recently, CS plus urban science and planning. There’s also talk about a future major in CS plus brain and cognitive sciences. And since a CS minor was made available two years ago, many other students have chosen that option to satisfy their computation appetite.
The student demand reflects what today’s employers are demanding, too—in every industry and sector. Handling computational thinking and using the tools of machine learning seem to be fundamental skills for this generation, as essential as competence in math.
Though not entirely unexpected, the student interest has caught our attention. It is intense, pervasive, and growing. And responding to it as educators will require some significant adjustment.
Because this is MIT, I know that you expect us not only to respond but to lead. So I hope you will stay tuned as we help our students master the intellectual tools they’ll need to invent the future.
AI is here.
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