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Engineering

Applied Machine Learning and Engineering (Graduate Certificate) at Brandeis University

Brandeis University, United States

Programme overview

Designed for engineers, data scientists and analysts ready to move from development to deployment, Brandeis Online’s Applied Machine Learning and Engineering master’s certificate prepares you to design and deploy machine learning systems that perform reliably in real-world environments. Delivered 100% online, part-time through the Rabb School of Continuing Studies; 12 credits.

Faculty: Rabb School of Continuing Studies  |  Department: Brandeis Online  |  Duration: 12 credits; Complete in 1 year or less  |  Study mode: online  |  Location: Waltham, MA, United States

What you will study

Courses include RADS 100 Foundations of Applied Data Science and Decision Analytics; RADS 110 Machine Learning Engineering and MLOps; RADS 115 Data Engineering and Cloud Pipelines; RADS 140 Generative AI and Large Language Models in Analytics.

Official programme page

Application information

Entry requirements

In addition to general admissions requirements, those applying to the Applied Machine Learning and Engineering certificate should have: A bachelor’s degree from an accredited institution in computer science, statistics, mathematics, engineering, economics, public health, sustainability studies or a related discipline. Others with strong technical experience will be considered.  A basic understanding of statistics and probability. Foundational programming experience in Python or R. Familiarity with data analysis or SQL tools preferred.

USD 14,640 for the whole programme (2025-2026). Total tuition for a 12-credit online programme at $1,220 per credit; excludes course materials fees, deposit and books. Source

Duration: 12 credits; Complete in 1 year or less

Apply through the official page: https://apply.gps.brandeis.edu/apply/

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