The Bachelor of Science in Statistics and Data Science ... as statisticians and data scientists or in other roles where training in these fields is excellent preparation. Get a sense for some of the ...

students learn statistics by doing—class time emphasizes problem-solving and hands-on contact with data. Many courses employ student-driven projects that allow students to pursue their interest in ...

The Statistics and Data Science major provides a solid foundation in statistics through rigorous theoretical courses. Students also develop practical skills through applied courses and one year of ...

Students can fulfill this concentration by completing the fully online MITx MicroMasters® program in Statistics and Data Science, a series of graduate-level courses taught by top MIT professors ...

Experiential learning is central to the Statistics and Data Science experience. Through internships ... LinkedIn Learning - online educational platform with more than 5,000 courses that helps you ...

the Master of Science in Data Science and Statistics degree program balances applied and theoretical coursework — along with numerous elective courses in specialized subjects and subfields — so that ...

The Master of Science in Data Science curriculum consists of a total of 30 credit hours. 18 credit hours can be taken from core courses and 12 credit hours ... Professor Tang’s teaching interests are ...

This Handbook is designed to present the most pertinent information on the courses, examinations, and other requirements in our graduate program. The Graduate School Catalog should be consulted for ...

It is a growing field at the intersection of computer science and statistics focused on finding patterns in data. Prominent applications include personalized recommendations, image processing and ...

Dr. Kristen Gore specializes in data science and statistics with extensive experience in both academia and industry. She is passionate about engaging students in real-world STEM applications through ...

Introduces concepts and skills fundamental to Data Science including: getting data, data wrangling, exploratory data analysis, basic statistics, data visualization, data modeling, and learning. The ...

This is an interdisciplinary Master of Science program offered jointly by the Department of Statistics ... in Data Science. For admission to the program, candidates must have completed an ...