Master of Science in Data Science
Coursera Degree
24 Courses
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Overview
An interdisciplinary, applied data science master’s degree with performance-based admissions and no application process. Join the exciting and growing field of data science with the University of Colorado Boulder's new Master of Science in Data Science degree. This program leverages CU Boulder's faculty expertise in fields such as statistics, data science, computer science, business analytics, natural language processing, and information science. It promises to equip students with the skills necessary for effective cross-functional communication and teamwork, fostering creative problem-solving abilities that are critical for driving business innovations today.
Designed to meet the demands of the modern workforce, this degree program features short, 4-6 week courses and adopts a performance-based admissions strategy, eliminating the need for prerequisites or an application. Students can immediately enroll in three, 1-credit “pathway” courses focusing on either statistics or computer science. Achieving a grade of B or better in these pathway courses grants admission, allowing students to make direct progress towards their degree.
The curriculum includes practical, hands-on projects utilizing cloud-based programming environments and Jupyter Notebooks, alongside access to real-world big data sets, preparing students for their future careers in data science. This degree is set to launch in the first half of 2021, and interested candidates can sign up to receive the latest updates on the program.
Who this degree is for: This degree is perfect for anyone with an interest in data science, regardless of their academic background. Its performance-based admissions and stackable, pay-as-you-go courses offer a flexible curriculum, making it suitable for individuals with varying levels of experience in the field. Offered through Coursera by the University of Colorado Boulder, this degree program falls under several categories, including Statistics & Probability, R Programming, Business Intelligence, Data Science, SQL, Hadoop, and Apache Spark Courses.