Course-focused: Take classes such as “Machine Learning on Graphs and Responsible AI Engineering,” which will give you the tools to tackle advanced data science problems. Thesis-focused: Conduct ...

The M.S. in Data Science program consists of 12 courses ... where data-driven decision-making is aided by machine learning (e.g., text classification, image recognition, and predictive modeling).

The Master of Science in Data Science at CU Boulder is a STEM-designated, interdisciplinary program that provides students with rigorous training in machine learning, AI tools, data analytics, big ...

The on-campus Master of Science in Data Science program focuses on developing knowledge and skills in interdisciplinary and collaborative data science competencies including statistical analysis, data ...

I've identified collaboration as one of the critical gaps that organizations must bridge to transform their data science ...

Data science tools can cover a broad range of specific use cases, including various programming languages like Python and R, data visualization solutions, and even machine learning frameworks and ...

Students in the Data Science program complete courses from four categories ... database connection, digital image processing, and artificial intelligence will be discussed, particularly within the ...

The interdisciplinary nature of the degree allows students to work with Purdue's well renowned faculty in their fields, and customize the program tailored towards specific areas of data science. Data ...

The primary focus of the course is to cover principles of computer programming with a focus on data science applications. The topic covered will include variables, basic data types, data structures ...

Courses completed for the certificate can be applied toward the Master’s in Data Science program if a student wishes to pursue a master’s degree in the future. This hands-on course introduces key ...