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MS Data Science | Lehigh University 2024-25
MS Data Science | Lehigh University 2024-25
Lehigh's M.S., Data Science, allows students from a wide range of backgrounds to gain the qualifications necessary to tap into the wealth of data science jobs, many of which require an advanced degree. The U.S. Bureau of Labor Statistics projects jobs in the field to grow more than 30 percent between 2020 and 2030. Lehigh's Data Science program provides access to the skills and tools of data science to people who want to develop that skillset, even if they don't have a background in computer science or statistics.
MS Data Science | Lehigh University 2024-25
MS in Applied Data Science - Statistics & Data Science - Dietrich College of Humanities and Social Sciences - Carnegie Mellon University 2024-25
MS in Applied Data Science - Statistics & Data Science - Dietrich College of Humanities and Social Sciences - Carnegie Mellon University 2024-25
The primary focus of our 9-month, two-semester professional master's degree is to develop industry-valued competencies in our students by emphasizing data analysis, statistical computing, and professional skills.
MS in Applied Data Science - Statistics & Data Science - Dietrich College of Humanities and Social Sciences - Carnegie Mellon University 2024-25
MSc in Human Rights and Data Science | AUP Graduate 2024-25
MSc in Human Rights and Data Science | AUP Graduate 2024-25
Students gain fluency in the languages of both human rights and data science through foundational studies in international and human rights law and data science, including hands-on technical training in relevant software. Throughout the degree, students interact with leaders working at the forefront of the industry, and actively engage with the emerging issues of ethics and human rights protection. This forward-looking degree prepares students for the careers of the future.
MSc in Human Rights and Data Science | AUP Graduate 2024-25
NSF and philanthropic partners invest more than $18M to prioritize ethical and societal considerations in the creation of emerging technologies | NSF - National Science Foundation