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Top universities that offer courses in data science

The demand for specialists in the field of data science has grown in recent years. This is because of rapid digitization. A data science graduate is someone who can use computer algorithms and statistics to analyze existing data and decipher any patterns that might be observed in it. As a result of the increasing demand for data science analysts and experts, educational institutions offer bachelor, master, and doctoral courses to educate students about these processes.

There are several universities and educational institutions that offer degrees and certificates in data science. Due to a lot of competition in the field, it isn’t easy to get into the college of your choice. Some of the most popular universities in the country that offer Undergraduate and Postgraduate courses for data science are as follows:

Harvard University
According to Correlation One, Harvard University is recognized as one of the top universities in the country for education in data science. The university offers a fully equipped data science program in which students can earn a degree through two different routes. One of those routes requires students to take courses in and gain specialty in subjects like mathematics and statistics. The other track focuses mainly on training the students in the analytical side of data science, which also features social science elements that require a lot of networking.

University of Michigan
The University of Michigan offers a dedicated Undergraduate program that majors in data science. It includes courses that cover the concepts of mathematics, computing, and statistics. Moreover, the university offers hands-on experience for students and helps them understand machine-learning data mining and the process involved in writing functional algorithms. The university is mainly well known for its progressive effort towards research and development in information technology.

Columbia University
Columbia University offers a BA in data science that computer science majors can also pursue. This degree is offered through the School of Engineering, where students can learn the concepts and workings of probability, statistics, and machine learning. Advanced students can take specialized courses that deal with natural language processing, computer vision, and robotics. Aside from this degree, computer science majors can also learn about data science, AI, and machine fundamentals through various other degrees.

Carnegie Mellon University
Carnegie Mellon University is the first university in the country to offer a dedicated bachelor’s degree in artificial intelligence. Experts teach these degrees and courses from all the fields of computer science, software research, language technologies, machine learning, and robotics. Moreover, data science majors are all expected to take courses in cognitive science or cognitive psychology due to the school’s commitment to the AI For Social Good program.

MIT
MIT is one of the most reputable educational institutions in engineering and is said to be the center of technical excellence. Therefore, most of the degrees and programs offered by this university include concepts of artificial intelligence. The school also has a dedicated computer science and Artificial Intelligence laboratory, which was founded in 1963 as “Project MAC” (Machine Aided Cognition). Students who make the cut and are enrolled in any of their specialized courses get the opportunity to work and learn under world-class experts in the field of AI and data science. MIT students have been involved in the development of critical technical features starting from the haptic feedback interface on our smartphones to military reconnaissance robots.

Stanford University
The B. Sc degree in computer science at Stanford University is a great starting point for undergraduate students who want to start in the field of data and computer science. There are several electives to learn from, right from the basics of Artificial Intelligence, machine learning, deep learning, computer vision, and language networks. The techniques that are taught through these electives also have applications in fields outside of Computer Science and can thus be used in biomedical research and economics as well.

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