University of California, Berkeley campus

Engineering

MIDS Information and Data Science at University of California, Berkeley

University of California, Berkeley, United States

Programme overview

The Master of Information and Data Science (MIDS) is a premier, online, part-time professional degree program designed to train the next generation of data science leaders. Ranked as the #1 data science program in the nation, MIDS combines UC Berkeley’s world-class academic rigor with the flexibility of a digital campus. The program is specifically crafted for professionals who want to derive deep insights from real-world data, utilizing the latest computational tools and analytical methods to solve complex, high-stakes problems across industries.

Faculty: School of Information  |  Department: School of Information  |  Duration: 3 years  |  Study mode: full-time  |  Location: Berkeley, CA, United States

What you will study

The Master of Information and Data Science is designed to be completed in 20 months, but other options are available to complete the program. Students will complete 27 units of coursework over an average of five terms, taking a maximum of 9 units each term. MIDS classes are divided into foundation courses (15 units), advanced courses (9 units), and a synthetic capstone (3 units).

Career pathways

Graduates enter career areas including Engineering & Computer Science, Business.

Official programme page

Application information

Entry requirements

Applications are evaluated holistically on a combination of prior academic performance, work experience, essays, letters of recommendation, and goals that are a good fit for the program. The UC Berkeley School of Information seeks students with the academic abilities to meet the demands of a rigorous graduate program. To be eligible to apply to the Master of Information and Data Science program, applicants must meet the following requirements: A bachelor’s degree or its recognized equivalent from an accredited institution. Superior scholastic record, normally well above a 3.0 GPA. A high level of quantitative ability as conveyed by significant work experience that demonstrates your quantitative abilities and/or academic coursework that demonstrates quantitative aptitude A high level of analytical reasoning ability and a problem-solving mindset as demonstrated in academic and/or professional performance. A working knowledge of fundamental concepts including: data structures, algorithms and analysis of algorithms, and linear algebra. Proficiency in programming languages, such as

Duration: 3 years

Apply through the official page: https://grad.berkeley.edu/admissions/

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