Big Data Analytics Graduate Certificate

big data 

The digital age is here to stay. Organizations now own and have access to unfathomable amounts of data. New technologies and efforts are needed to move on to the next phase of the digital revolution - the data revolution. To provide students with the knowledge necessary in this age of Big Data, the Department of Computer and Electrical Engineering and Computer Science (CEECS) and the Department of Information Technology and Operations Management (ITOM) have jointly designed the Big Data Analytics graduate certificate.

This 12-credit certificate allows graduate students to expand their knowledge and skills in the concepts, technologies, and tools of business intelligence, data analytics and business analytics and be recognized for their achievement.

admission

program info

course info

 

ADMISSION INFORMATION

The certificate program has two tracks: Business and Computer Science. Please read below for admissions requirements depending on which program track you prefer.

Business Track

Requirements for admission to the Business Track of the Big Data Analytics Graduate Certificate Program:

  • Bachelors degree in Business or in a related field
  • GPA of at least 3.0
  • Students must satisfy the prerequisites for each course in the program
  • All four courses must be completed with a GPA of 3.0 or better
  • All course materials are in English; all international students must demonstrate proficiency in English to enter the program.

Computer Science Track

Requirements for admission to the Computer Science Track of the Big Data Analytics Graduate Certificate Program:

*Note: if you are interested in this track, you must reach out to the College of Engineering & Computer Science for more info & to apply*

  • Bachelors of Science degree in Computer Science or in a related field of science or engineering
  • GPA of at least 3.0
  • Students must satisfy the prerequisites for each course in the program
  • All four courses must be completed with a GPA of 3.0 or better
  • All course materials are in English; all international students must demonstrate proficiency in English to enter the program.

Cost of Program

This program follows the university’s current fee per credit hour for graduate courses. Since this program is 12 credits in length, regardless of the track you choose, the approximate cost for the program would be (12) times the current fee per credit hour for graduate courses. For the current fee per credit hour for graduate courses, click here.

Application Deadlines

For Domestic Students  For International Students*
August 1 for Fall Semester March 15 for Fall Semester
December 1 for Spring Semester August 15 for Spring Semester
May 1 for Summer Semester February 15 for Summer Semester

  *International students should contact the International Student Services Office before applying to this program to determine if you will be eligible for this program since this certificate program is for non-degree seeking students

Applications must be complete and all documents submitted before the deadline to be considered for admission. Once all documents have been received, you can be accepted for the semester corresponding to the application deadline (see the table above).

Credit Transfer

Graduate Courses taken at an institution outside of FAU will NOT be counted as course credit towards the Big Data Analytics Graduate Certificate program as courses for the certificate must be completed 100% in residence at FAU.

How to Apply

For students who meet the admission requirements listed above, complete the following steps to apply for the Big Data Analytics Graduate Certificate program. 

  • Step 1: Complete the non-degree seeking application and submit the completed application to FAU's Office of the Registrar before the application deadlines listed in the section above. If you are a current FAU student and are already in a graduate degree program (e.g. MBA, MSITM, etc.), you do not need to fill out a non-degree seeking application. You only need to fill out a program application (see Step 2).
    • Once your non-degree application is approved by FAU (you will generally be notified via email), be sure to check to see if you have any registration holds and contact the appropriate office(s) listed to have your Hold(s) removed.
  • Step 2: Complete the program application to the Big Data Analytics Graduate Certificate Program (Big Data Analytics Graduate Certificate Application) and submit the completed application online by clicking on this link: ONLINE BIG DATA ANALYTICS APPLICATION SUBMISSION GOOGLE FORM
  • Step 3: Please send your official transcripts reflecting the completion of your bachelor's degree (and master’s degree, if applicable) to the College of Business Graduate Advisor, Michelle Williams (williamsmich2012@fau.edu 561-297-1314), for the Big Data Analytics Graduate Certificate in the College of Business.
    • Once all your transcripts are received and your program application is reviewed, you will be notified whether or not you have been approved for the program. Once you receive approval for the program, the College of Business Graduate Advisor will provide you the program advising sheet so that you may select the classes you plan to complete.

Once Admitted

  • Once you are admitted into the program, you should review the current course schedule and register for classes via MyFAU registration. If you are a non-degree seeking student, you are only able to register after a specific date each semester. This date is generally one to two weeks before the first day of the semester. Please review the University’s Academic Calendar for more information on this date.

Once All Certificate Courses Are Completed

  • Once all four courses for the certificate are completed, to receive your actual certificate, you need to:
    1. Fill out the certificate application form
      • Note: Once on the page, navigate to the "students" section and click on "Application for Certificate" link. Fill out the digital form and then once you complete the form, click on "Print pdf" on the bottom of the page and your completed form will be downloaded as a PDF
    2. Once the application is completed & downloaded as a PDF, submit the completed PDF application for certificate to Michelle Williams (williamsmich2012@fau.edu)

Questions?

If you have additional questions about this program, please feel free to contact the ITOM program director, Jonathan Sweet (jsweet4@fau.edu 561-297-2707).

--TOP OF PAGE--

Program Information

The certificate program has two tracks: Business and Computer Science. Please read the details below for program requirements for each track.

Business Track

The Big Data Analytics certificate with a track in Business will be granted to a student who completes three 3-credit courses from the ITOM Business Analytics course list and one 3-credit course from the CS Data Analytics course list.

CS Track

The Big Data Analytics certificate with a track in Computer Science will be granted to a student who completes three 3-credit courses from the CS Data Analytics course list and one 3-credit course from the ITOM Business Analytics course list.

--TOP OF PAGE--

Course Information

Depending on the track you select to complete the Big Data Analytics Certificate, you will need to take one or three of the ITOM Business Analytics courses and one or three of the Computer Sciences courses:


ITOM Business Analytics Courses

 
Data Mining and Predictive Analytics

ISM 6136

Database Management Systems ISM 6217
Introduction to Business Analytics and Big Data ISM 6404
Advanced Business Analytics ISM 6405
Social Media and Web Analytics ISM 6555
Data Analysis for Managers QMB 6603
Data Management & Analysis with Excel QMB 6303

 

Computer Science Data Analytics Courses

 

 Please refer to the program sheet for more information about these courses

 

 

Technology Tools Used In MIS Courses:

  • ISM 6136 (Data Mining): Analytical Solver Platform (XL Miner) & Rapid Miner
  • ISM 6217(Database): Oracle 12c & MySQL
  • ISM 6404 (Intro to BA): Microsoft Excel & Tableau
  • ISM 6405 (Advanced BA): MS Excel, VBA, UserForms, PowerPivot, Python & R
  • ISM 6555 (Social & Web Analytics): Google Analytics, SEMrush, Similarweb, OpenTracker, & Facebook Insights

--TOP OF PAGE--

 

©