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数据科学

B.S. in 数据科学 prepares students for a productive career in the industry and for graduate studies in diverse disciplines. The curriculum integrates quantitative analysis and computer science, setting it apart from other fields. Through hands-on projects and practical exploration of programming languages like Python and R, students delve into machine learning algorithms, data visualization techniques and database management, gaining invaluable insights into complex dataset analysis.

The curriculum places a strong emphasis on data ethics, ensuring graduates are adept at responsibly navigating diverse contexts. Capstone projects encourage the application of knowledge to solve complex problems, fostering critical thinking and innovation. With a strong focus on professional development, including technical communication and teamwork, the program ensures that graduates are well-prepared for a dynamic career in data science, equipping them with the skills and knowledge needed to excel in the rapidly evolving field.

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数据科学学士.S., Specialization in Artificial Intelligence offers students an optional concentration in Artificial Intelligence to broaden their knowledge in this specific area of data science.

添加未成年人: Students interested in learning more about a minor in 计算机科学 should contact the Minor 教师 Adviser, Dr. 金大乔((电子邮件保护)). 一旦获得博士批准. Kim, contact CSE Administrative Assistant, Sherry Rank ((电子邮件保护)),添加辅音.

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Mehdi Bagherzadeh, Ph.D.
Associate Professor and CSE Academic Programs Coordinator
办公室:EC 542
(248) 370-2208
(电子邮件保护)

School of Engineering and 计算机科学

Engineering Center, Room 301
图书馆道115号
Rochester , MI 48309-447
(位置地图)
Dean's Office (248) 370-2217
学术顾问 (248) 370-2201