Graduate Certificate in Data Science at University of Kansas

Programme overview

A four-course graduate certificate in data science for students outside EECS pursuing other graduate training, or seeking post-baccalaureate data science skills. Example application areas are computational physics, computational chemistry, quantitative genetics, geoinformatics and environmental modeling.

Faculty: School of Engineering | Department: Department of Electrical Engineering and Computer Science | Duration: 12 credit hours (4 courses) | Location: Lawrence, KS, United States

What you will study

Core EECS 835 Advanced Data Science (3 hours), plus three electives (9 hours) from EECS 767 Information Retrieval, EECS 836 Machine Learning, EECS 841 Computer Vision or EECS 730 Introduction to Bioinformatics, and MATH 728 Statistical Theory.

Official programme page

Application information

Entry requirements

Standard Admission Requirements for all Graduate Programs All applicants must meet the requirements outlined in the Admission to Graduate Study policy. Bachelor’s degree: A copy of official transcripts showing proof of a bachelor's degree (and any post-bachelor’s coursework or degrees) from a regionally accredited institution, or a foreign university with equivalent bachelor's degree requirements is required. English proficiency: Proof of English proficiency for non-native or non-native-like English speakers is required. There are two bands of English proficiency, including Admission and Full proficiency. For applicants to online programs, Full proficiency is required.

Tuition is charged per credit, so the total depends on the modules you register for each year. Current fees are listed in the official fee schedule.

Entry terms follow the KU academic calendar; the application for first-year and transfer students is submitted through the KU application portal (go2.ku.edu). The fall freshman scholarship deadline is Dec. 1, the FAFSA priority deadline is Feb. 1 and the fall transfer scholarship deadline is Aug. 1.

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