Program Overview

Engineering Data Analytics Certificate Program

The Engineering Data Analytics Certificate Program is offered by the Department of Industrial and Manufacturing Engineering (IME) as part of the joint Florida A&M University (FAMU) - Florida State University (FSU) College of Engineering.

Program Overview

Students will take four graduate-level courses, including two core and two elective courses, within a one-year time period to earn this certificate. The objective of the Engineering Data Analytics (EDA) program is to provide students with necessary knowledge and skills in data mining and machine learning to support quantitative decision-making and improve efficiency for industrial systems/operations with broad applications in manufacturing and service industries.

Why Pursue a Certificate in Engineering Data Analytics?

Big data and associated analytics skills have gained much attention in engineering careers, and a large number of new job opportunities emerge with data-driven decision-making. This program focuses on the skills of developing artificial intelligence (AI) within industrial systems as supported by data analytics.

Career Options

After completing the program, students should be equipped with fundamental tools for emerging careers in industrial data analytics and AI. The program will help students prepare for the growing career opportunities in the data science field of study and ubiquitous applications of AI across manufacturing, service including healthcare and transportation, and Defense applications.

Program Faculty

• Lichun Li
• Yanshuo Sun
• Arda Vanli
• Hui Wang (Certificate Coordinator)

Certificate Courses

The curriculum includes a total of 12 credit hours of coursework in data analytics/machine learning for engineering systems. The courses are all taught by the IME faculty at the FAMU-FSU College of Engineering in Tallahassee and/or at FSU Panama City Campus.

• EGN 5444: Big Data Analytics in Engineering or its online version
• ESI 5685: Introduction to Machine learning or its online version
• ESI 5243: Engineering Data Analysis or its online version
• ESI 5681: Deep Learning in Practice or its online version
• ESI 5556: Digital Transformation for Systems Engineering or its online version

Admission Requirements

Applicants must have a Bachelor's degree in an engineering discipline or related STEM disciplines. The following criteria will be used for admissions:

• An applicant must be enrolled as a non-degree seeking graduate student, Master's student, or Ph.D. student with FAMU or FSU.
• Good academic standing in the last institution attended, with a grade point average (GPA) 3.0/4.0 or higher.
• One letter of recommendation obtained from academics or professionals who can comment on the academic and research potential of the applicant.
• Statement of purpose describing reasons for pursuing the EDA program.
• Curriculum Vitae or Resume.
• Unofficial transcripts can be submitted with the program application; International applicants must include an English translation.

Application Procedures

Prospective students must be admitted through either Florida A&M University or Florida State University as non-degree-seeking graduate students or graduate-degree-seeking students (Master or Ph.D.). Students will apply after they have been admitted as either a degree or non-degree seeking student from the university.

Important Deadlines

• Admission to Certificate Program: Students must apply and be admitted to the certificate program prior to completion of the second course required for the certificate.
• Completion of the Certificate Program: When students complete the program, they must apply for the certificate using the Certificate Completion Form. The Certificate Completion Form must be submitted within one week of grades being posted for the semester the student wishes to earn the certificate.