Machine Learning

This certificate program equips students with practical knowledge in machine learning techniques, emphasizing statistical learning theory and deep learning to solve real-world, data-driven problems.
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Program Description

In an era where data-driven decision-making is integral to the world's most influential industries, the Department of Electrical and Computer Engineering (ECE) at Rutgers University-New Brunswick is proud to present a timely and crucial offering: a 12-credit graduate certificate program in Machine Learning. 

The applications of Machine Learning are vast and rapidly evolving, powering innovations in sectors such as technology, healthcare, finance, transportation, manufacturing, agriculture, telecommunications, education, energy, and even creative industries like music and film, among others. The ability to interpret complex datasets and forecast trends is not just a highly sought-after skill, but a necessity in today's data-centric world. 

At Rutgers ECE, we recognize this seismic shift and have meticulously curated a certificate program that goes beyond mere theory. Our mission is to equip our students with a robust understanding of machine learning techniques, enabling them to address real-world engineering problems and navigate various software packages used across numerous electrical and computer engineering applications. In essence, we aim to transform learners into practitioners. 

Our department boasts an exceptional faculty with both academic and industry experience, a diverse and comprehensive range of courses, and a learning environment that fosters collaboration, innovation, and excellence. Our program emphasizes both statistical learning theory and deep learning, integral courses in our renowned ECE graduate program, providing students with a distinct edge in their professional pursuits. 

This opportunity isn't confined to just Rutgers students or those enrolled in the ECE department. We have extended the scope of this program to benefit learners across various disciplines such as Computer Science, Mechanical Engineering, Biomedical Engineering, Data Science, Mathematics, Physics, Information Technology, Statistics, and even non-traditional fields where data analysis is crucial, like Business, Economics, and Social Sciences. Whether you're pursuing a PhD, MS, or simply aiming to secure a certificate, our Machine Learning program provides an enriching and versatile learning path. Moreover, some requirements for the certificate may also fulfill your existing graduate degree requirements, providing further academic flexibility. 

Required Credits

The certificate will be awarded to all non-degree and degree ECE M.S. or Ph.D. graduate students who complete four courses (12 credits) in the area certificate program with a GPA of at least 3.0.