Bachelor of Science in Engineering - Data Science

Huge amounts of data with complex structures in the form of text, video, and streaming data are routinely collected in social networks (e.g., Google, Twitter, Facebook), biological and health sciences (e.g., drug discovery, patient care), sciences and engineering (e.g., astronomy, networks, smart buildings), business and industry (e.g., automotive, robotics, banking, insurance, ad networks) as well as by government and society at large. Data scientists will help quantify and address the pressing concerns of modern society, including those in healthcare, sustainability, security, equity, and economics. The data science undergraduate program is a joint program between the EECS Department in the College of Engineering and the Department of Statistics in the College of LSA. The data science program aims to train well-rounded data scientists who have the skills to work with a variety of problems involving large-scale data common in the modern world. The focus of the curriculum is computational tools and statistical analysis as well as hands-on experience. The data science major is a rigorous program that will provide students with a foundation in those aspects of computer science, statistics, and mathematics that are relevant for analyzing and manipulating large complex datasets. Students will be exposed to both the practical use of data science methods as well as the theoretical properties underpinning the performance of the methods and algorithms. Graduates of the program will be well prepared for exciting careers in data science and will have opportunities for advanced study.

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TOEFL (iBT) - 100 range with section scores 23 plus in listening and reading and 21 plus in speaking and writing.
IELTS - 7.0 range with section scores 6.5 plus
Duolingo (DET) - 130 range with section scores 120 plus