BS in Data Analytics (DA) at MDC to MS in Artificial Intelligence (AI) at FAU/COECS
Students graduating with a Bachelor of Science in Data Analytics (BS DA) at MDC are qualified for admission into the MS in Artificial Intelligence (MS AI) at FAU upon completing the following steps and requirements:
- Completion of the BS DA at MDC with a 3.0 GPA or higher.
- Submit the GRE scores (verbal and quantitative sections). The GRE requirement is waived for students who completed the BS ECET at MDC with a GPA of at least 3.25 (of a possible 4.0) in the last 60 credits attempted prior to graduation.
- Complete the following "bridge" courses:
- MAC 2233 Methods of Calculus
- COP 3410 Data Structures and Algorithm Analysis with Python
- Meet all other FAU admission requirements.
- Complete and submit the Program Audit Form.
Apply to the FAU GRaduate College
Miami Dade College to FAU 4+1 Transfer Programs
About the Program
FAU and Miami Dade College (MDC) articulation agreement establishes "4 + 1" Bachelor to Master's Transfer Programs in which students graduating from eligible Bachelor of Science (BS) programs at MDC will, upon meeting specific requirements, become qualified for admission into eligible Master of Science (MS) programs at FAU College of Engineering and Computer Science (COECS). MDC graduates entering an MS program at FAU under the terms of this agreement will have the opportunity to complete the MS degree in one year if enrolled full time. MS programs at FAU require at least 30 graduate level credits.
Benefits of the Program
- Students will meet the course requirements and be eligible to apply to the master’s degree programs.
- The GRE is not required for this program.
- MDC students graduate with an advanced engineering degree from FAU with in-depth knowledge in an area of specialization.
4+1 Transfer Programs
The transfer programs eligible under the agreement are listed below. Please follow the links to learn about the steps and requirements for applying to each program.
- BS in ECET at MDC to MS in Biomedical Engineering (BioMedEng) at FAU/COECS (click here)
- BS in DA at MDC to MS in Artificial Intelligence (AI) at FAU/COECS (click here)
How Long Does the Program Take to Complete
Students need to complete at least 30 credits for both thesis and non-thesis options of the Master’s program. The students are able to finish the Master’s program within one year if they are enrolled as a full-time student.
BS in Electrical and Computer Engineering Technology (ECET) at MDC to MS in Biomedical Engineering (BioMedEng) at FAU/COECS
Students graduating with a Bachelor of Science in Electrical and Computer Engineering Technology (BS ECET) at MDC are qualified for admission into the MS in Biomedical Engineering (MS BioMedEng) at FAU upon completing the following steps and requirements:
- Completion of the BS ECET at MDC with a 3.0 GPA or higher.
- Submit the GRE scores (verbal and quantitative sections). The GRE requirement is waived for students who completed the BS ECET at MDC with a GPA of at least 3.25 (of a possible 4.0) in the last 60 credits attempted prior to graduation.
- Complete the following "bridge" courses:
- BSC 1010 Biological Principles & BSC 1010L, or BSC 2010 General Biology & BSC 2010L
- CHM 2045 General Chemistry 1 & CHM 2045L
- PCB 3063 Genetics.
- Meet all other FAU admission requirements.
- Complete and submit the Program Audit Form.
Apply Online to the FAU Graduate College
Miami Dade College to FAU 4+1 Transfer Programs
About the Program
FAU and Miami Dade College (MDC) articulation agreement establishes "4 + 1" Bachelor to Master's Transfer Programs in which students graduating from eligible Bachelor of Science (BS) programs at MDC will, upon meeting specific requirements, become qualified for admission into eligible Master of Science (MS) programs at FAU College of Engineering and Computer Science (COECS). MDC graduates entering an MS program at FAU under the terms of this agreement will have the opportunity to complete the MS degree in one year if enrolled full time. MS programs at FAU require at least 30 graduate level credits.
Benefits of the Program
- Students will meet the course requirements and be eligible to apply to the master’s degree programs.
- The GRE is not required for this program.
- MDC students graduate with an advanced engineering degree from FAU with in-depth knowledge in an area of specialization.
4+1 Transfer Programs
The transfer programs eligible under the agreement are listed below. Please follow the links to learn about the steps and requirements for applying to each program.
- BS in Electrical and Computer Engineering Technology (ECET) at MDC to MS in Electrical Engineering (EE) at FAU/COECS
- BE in ECET at MDC to MS in Computer Engineering (CE) at FAU/COECS
- BS in ECET at MDC to MS in Biomedical Engineering (BioMedEng) at FAU/COECS
- BS in Information Systems Technology (IST) or BS in Data Analytics (DA) at MDC to MS in Information Technology and Management (ITM) at FAU/COECS
- BS in DA at MDC to MS in Artificial Intelligence (AI) at FAU/COECS
How Long Does the Program Take to Complete
Students need to complete at least 30 credits for both thesis and non-thesis options of the Master’s program. The students are able to finish the Master’s program within one year if they are enrolled as a full-time student.
FAU Program Coordinator
Jean Mangiaracina
561.297.6482
jmangiar@fau.edu
BS in Electrical and Computer Engineering Technology (ECET) at MDC to MS in Biomedical Engineering (BioMedEng) at FAU/COECS
Students graduating with a Bachelor of Science in Electrical and Computer Engineering Technology (BS ECET) at MDC are qualified for admission into the MS in Biomedical Engineering (MS BioMedEng) at FAU upon completing the following steps and requirements:
- Completion of the BS ECET at MDC with a 3.0 GPA or higher.
- Submit the GRE scores (verbal and quantitative sections). The GRE requirement is waived for students who completed the BS ECET at MDC with a GPA of at least 3.25 (of a possible 4.0) in the last 60 credits attempted prior to graduation.
- Complete the following "bridge" courses:
- BSC 1010 Biological Principles & BSC 1010L, or BSC 2010 General Biology & BSC 2010L
- CHM 2045 General Chemistry 1 & CHM 2045L
- PCB 3063 Genetics.
- Meet all other FAU admission requirements.
- Complete and submit the Program Audit Form.
Apply Online to the FAU Graduate College
BS in Electrical and Computer Engineering Technology (ECET) at MDC to MS in Computer Engineering (CE) at FAU/COECS
Students graduating with a Bachelor of Science in Electrical and Computer Engineering Technology (BS ECET) at MDC are qualified for admission into the MS in Computer Engineering (MS CE) at FAU upon completing the following steps and requirements:
- Completion of the BS ECET at MDC with a 3.0 GPA or higher.
- Submit the GRE scores (verbal and quantitative sections). The GRE requirement is waived for students who completed the BS ECET at MDC with a GPA of at least 3.25 (of a possible 4.0) in the last 60 credits attempted prior to graduation.
- Complete the following "bridge" courses:
- STA 2023 Introductory Statistics
- COP 1334 Introduction to C++ Programming
- COP 3530 Data Structures and Algorithm Analysis
- Meet all other FAU admission requirements.
- Complete and submit the Program Audit Form.
Apply Online to the FAU Graduate College
BS in Electrical and Computer Engineering Technology (ECET) at MDC to MS in Electrical Engineering (EE) at FAU/COECS
Students graduating with a Bachelor of Science in Electrical and Computer Engineering Technology (BS ECET) at MDC are qualified for admission into the MS in Electrical Engineering (MS EE) at FAU upon completing the following steps and requirements:
- Completion of the BS ECET at MDC with a 3.0 GPA or higher.
- Submit the GRE scores (verbal and quantitative sections). The GRE requirement is waived for students who completed the BS ECET at MDC with a GPA of at least 3.25 (of a possible 4.0) in the last 60 credits attempted prior to graduation.
- Complete the following "bridge" courses:
- EEL 3470 Electromagnetic Fields and Waves
- STA 2023 Introductory Statistics or STA 4821 Stochastic Models for CS
- MAC 2313 Calculus 3.
- Meet all other FAU admission requirements.
- Complete and submit the Program Audit Form.
Apply Online to the FAU Graduate College
BS in Information Systems Technology (IST) or BS in Data Analytics (DA) at MDC to MS in Information Technology and Management (ITM) at FAU/COECS
Students graduating with a Bachelor of Science in Information Systems Technology (BS IST) or Bachelor of Science in Data Analytics (BS DA) at MDC are qualified for admission into the MS in Information Technology and Management (MS ITM) at FAU College of Engineering and Computer Science upon completing the following steps and requirements:
- Completion of the BS IST or BS DA at MDC with a 3.0 GPA or higher.
- Apply to the MS ITM in the College of Engineering and Computer Science at FAU, with concentration in either Advanced Information Technology (AIT) or Computer Science Data Analytics (CSDA).
- The GRE requirement is waived.
- Complete the following "bridge" courses:
- STA 2023 Introductory Statistics
- MAC 2233 Methods of Calculus
- A college level programming course such as COP 1334 Introduction to C++ Programming, COP 1047 Introduction to Python Programming, COP 2800 Java Programming, COP 2270 C for Engineers, or equivalent.
- Meet all other FAU admission requirements.
- Complete and submit the Program Audit Form.