Graduate Engineering Data Analytics Certificate
Data analytics is essential and ubiquitous in solving challenging engineering problems such as process quality control, improvement of advanced manufacturing, security of large quantity of internet data streams, efficiency improvement of healthcare systems, and profitability enhancement in finance and insurance industries. This graduate certificate program was developed in partnership with the Center for Engineering Data Analytics at Western New England University to be sure that it covers the fundamental data analytical methods and skill set for engineers who expect to excel in data science and analytics professions.
The certificate consists of four 3-credit courses. Each course is in-class/online hybrid that enables students to participate either fully online, fully in-class or any combination of the two. Course Credits earned are transferable to other graduate certificates as well as a future master’s degree if: 1) transferred within 6 years, 2) grade is B or greater.
Study Method: Online and optional evening in-class sessions
Terms: Accelerated, 11 weeks
Coursework: 12 credits
- Bachelor’s degree in engineering, or a closely related field, from an accredited college or university.
- Those seeking admission to the graduate certificate program without such a degree may petition to have their baccalaureate degree and professional experience accepted as a substitute.
- Students who earn this Graduate Certificate, and later seek to transfer the course credit towards a Master’s degree in Industrial Engineering or Engineering Management must earn a minimum 3.0 GPA for the certificate, and only classes with “B” or better will transfer for credit.
IE 601 – Advanced Engineering Statistics
EMGT/IE 691 – Data Mining Methods
EMGT/IE 635 – Operations Research I
BIS 635 – Enterprise Analytics with SAP
EMGT/IE 691 – Machine Learning
EE 545 – Neural Networks
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