Graduate Certificate in Applied Machine Learning for Chemists and Engineers at University of Kansas

Programme overview

An interdisciplinary 10-credit graduate certificate training students in machine learning for collaborative research and coursework. Core departments are Chemical and Petroleum Engineering, Chemistry and EECS, and students from other departments may apply. Credits can align with M.S./Ph.D. electives.

Faculty: School of Engineering | Department: Department of Chemical and Petroleum Engineering | Duration: 10 credit hours (4 courses) | Intake: Rolling admissions; applications accepted two weeks before the start of spring, summer or fall | Location: Lawrence, KS, United States

What you will study

Core: one C&PE 715 topics course (Applied Machine Learning for Scientists and Engineers, or AI for Subsurface Energy) and C&PE 802 CEBC Colloquium (1); one data science course (3) such as Applied Optimization Methods, Machine Learning in Biology, Introduction to Artificial Intelligence or EECS 836 Machine Learning; and one research course (3) from BIOE, C&PE, CHEM, CE, EECS or ME options.

Career pathways

Prepares students for a wide range of careers and gives a competitive edge in job applications.

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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