MS in Applied AI & IoT

Be AI Ready

Practical solutions for the real world

Application
Deadline

June 1, 2026

To Start: Fall 2026

APPLY NOW!

Quick facts on MS IOT with focus on Applied AI

Overview

MS in Applied AI & IoT is a professional graduate program in Electrical & Computer Engineering (ECE) focused on Artificial Intelligence (AI). Curriculum includes basic and advanced concepts in Machine Learning, Deep Learning, Generative AI, Large Language Model, Computer Vision, Big Data, and Cloud Technologies. It will help students identify and solve complex problems from various domains like Cyber, Network, IoT, Sensors, Robotics, etc. As part of this track, students will learn full data science life cycle and its application to various domains.

Machine learning courses are focused on the implementation of regression, classification, and clustering algorithms. Deep learning courses are focused on the application of image processing and sequencing/time series data using Convolution Neural Network and Recurrent Neural Network algorithms. Students will also learn the fundamentals of big data technologies and its applications to large scale data sets. Students will learn data storage using Hadoop Distributed File System (HDFS), apply batch processing, and perform in-memory analytics using Spark. They will also learn about Kafka message broker to import data and No-SQL database like Cassandra or Mongo DB.

*Average Annual U.S. Salary 132k | *Estimated 451,000+ new jobs: (check Source for latest numbers)

Certifications Included in the Program

AI-900 – Microsoft Certified: Azure AI Fundamentals
AZ-900 – Microsoft Certified: Azure Fundamentals
DP-900 – Microsoft Certified: Azure Data Fundamentals

These certifications are designed to enhance the professional qualifications of our graduates, giving them a competitive edge in the job market by validating their skills in Azure and applied AI technologies.

The MS in Applied AI & IoT program requires 30 credit hours of coursework (10 courses). These courses will cover:

Advanced concepts and techniques in machine learning, exploring sophisticated algorithms and methodologies for complex data analysis and modeling.
Proficient Python programming skills for engineering applications, mastering advanced programming constructs and libraries essential for building Applied AI solutions.
In-depth understanding of artificial intelligence principles, encompassing advanced theories, algorithms, and applications across various domains.
Advanced methods for visualizing data effectively, utilizing cutting-edge visualization frameworks and tools to communicate insights clearly and persuasively.
Advanced techniques in deep learning algorithms, diving into intricate neural network architectures and optimization strategies for tackling engineering problems in pattern recognition and perception.
Skills in analyzing and deriving insights from large datasets, employing advanced techniques, machine learning algorithms, and data mining approaches to extract actionable intelligence.
Advanced Generative AI techniques, exploring state-of-the-art methods for generating realistic and novel data instances with applications in image synthesis, text generation, and beyond.
Advanced analytics leveraging cloud services, harnessing scalable computing resources and advanced analytics and automation tools for processing and analyzing large datasets in cloud-based environments.

Artificial Intelligence (AI) is transforming industries and reshaping the way we live and work. As AI technologies are increasingly integrated into sectors such as healthcare, smart cities, agriculture, manufacturing, tourism, automotive, and retail, there is a critical need for professionals who can apply advanced AI techniques to solve real-world problems. Florida International University’s new Master of Science program in Applied AI and IoT is designed to address this need. With a strong focus on practical, hands-on training in applied AI, the program offers comprehensive training that not only addresses current industry needs but also adapts to ongoing advancements in this dynamic and evolving field.

Dr. Kang Yen

Professor

Program Requirements and Information

Please click on the section title below to expand the section.

Admission

STEP 1 – Online Application

Create an account on the Graduate Admissions website and login to complete the FIU Master’s Program Online Application.
Click “Create User Account.” Please note your password for future use. Use your account to enter the system to complete the application which will take approximately 15 minutes.
You may complete the online application without entering your TOEFL scores, statement of purpose, and recommendation letters. These documents may be submitted later via mail.
Email msiot@fiu.edu to confirm that your application has been submitted.

STEP 2 – Application Requirements

Please submit the following items with your online application, via email, or mail to the address below after completion of the online application.

A 4-year Bachelor’s degree in engineering or a closely related field such as business administration from an accredited university with a minimum of “B” average in the upper-level (the last 60 credit hours). The applicant whose GPA does not meet the minimum GPA requirement may be considered for conditional admission.
Some programming knowledge is required.
Official transcript of each previously attended university (undergraduate and graduate) in an envelope sealed by the degree granting institution.

International Students:

If an official transcript is not in English, the applicant must obtain two sets of transcripts: one to be submitted to FIU in the original language and the other to be translated by an official translation agency (or certified translator).
Official proof of degree: a notarized copy of the original diploma is required if the degree is granted from a foreign institution not posted on the official transcripts.
International applicants whose native language is not English are required to demonstrate English language proficiency through one of the following:
80 on the iBT TOEFL (equivalent to 550 on the paper-based version of the Test of English as a Foreign Language);
• 6.5 overall on the International English Language Testing System (IELTS); • 53 Pearson Test of English – Academic;

• Cambridge English – Advanced;

• 110 Duolingo English Test – Combined

• English Language Institute certification of satisfactory completion of all content areas with at least level six (6) proficiency;

• Applicants who hold an undergraduate or graduate degree from an accredited institution where the language of instruction is English.
(optional) Statement of purpose: A well-written statement describing your professional goals and reasons for pursuing the MS in IoT degree at Florida International University. (May be submitted via email.)
(optional) Resume: A current resume is required, which may include education, professional training, internship, and employment history (full time and part-time employment). (May be submitted via email.)
(optional) Three letters of recommendation from employers, faculty, or professional associates. (May be submitted via email.)

Submit all materials:

All Materials should be sent to:
- ATTN: Ryan AlfaroMS in Applied AI & IoTFIU College of Engineering & Computing10555 West Flagler Street, EC 2450B,Miami, FL, 33174, USA
- Universities can also email transcripts directly to Ryan Alfaro at ralfaro@fiu.edu.

Full-Time Course Schedule – Fall Term Start

Fall 2025:

CNT 6154 Advanced Machine Learning in ECE
CNT 6156 Advanced Python Programming in ECE
CAI 5867 Advanced Data Engineering in ECE

Spring 2026:

CNT 6144 Advanced Cloud Services in ECE
CNT 6150 Advanced Deep Learning in ECE
CNT 6152 Advanced Data Visualization in ECE

Summer 2026:

CNT 6148 Advanced Big Data Analytics in ECE

Fall 2026:

CAI 5858 Advanced Embedded AI
EEE 5718 IoT Security & Privacy
CAI 6856 Advanced Generative AI in ECE

The program structure and course offerings are subject to change.

Full-Time Course Schedule – Spring Term Start

Spring 2026:

CNT 6144 Advanced Cloud Services in ECE
CNT 6150 Advanced Deep Learning in ECE
CNT 6152 Advanced Data Visualization in ECE

Summer 2026:

CNT 6148 Advanced Big Data Analytics in ECE

Fall 2026:

CAI 5858 Advanced Embedded AI
EEE 5718 IoT Security & Privacy
CAI 6856 Advanced Generative AI in ECE

Spring 2027:

CNT 6154 Advanced Machine Learning in ECE
CNT 6156 Advanced Python Programming in ECE
CAI 5867 Advanced Data Engineering in ECE

The program structure and course offerings are subject to change.

Part-Time Option (Suggested Flexible Schedule)

Fall 2025:

CNT 6156 Advanced Python Programming in ECE
CAI 5867 Advanced Data Engineering in ECE

Spring 2026:

CNT 6144 Advanced Cloud Services in ECE
CNT 6152 Advanced Data Visualization in ECE

Summer 2026 or Summer 2027:

CNT 6148 Advanced Big Data Analytics in ECE

Fall 2026:

EEE 5718 IoT Security & Privacy
CNT 6154 Advanced Machine Learning in ECE

Spring 2027:

CNT 6150 Advanced Deep Learning in ECE

Fall 2028:

CAI 5858 Advanced Embedded AI
CAI 6856 Advanced Generative AI in ECE

For additional Part-time course offerings and scheduling. Please contact advising.

The program structure and course offerings are subject to change.

STEM Designation

The Master of Science in Applied AI & IoT is a STEM-designated program. After program completion, international students have the opportunity of Optional Practical Training (OPT), which allows students to work within the U.S. for a specified period of time – currently up to 36 months (1 year regular OPT + 2 years STEM OPT ) for STEM designated programs. Please refer to the Office of International Student & Scholar Services for further information.

Declaration of Finance + F1 Transfer

International students applying for an initial I-20 and F1 visa will need to submit the following documents:

Declaration and Certification of Finances Form that also reflects a minimum amount of $39,907 USD
Bank Letter: If on your application, you have indicated On-Campus Housing, the DCF and Bank Letter would need to show sufficient funds of a minimum of $39,907 USD. If you indicated Off-Campus housing, the DCF and Bank Letter would need to show sufficient funds of a minimum of $46,247.
Sponsor Letter (only needed if someone other than yourself will be sponsoring your tuition).
Copy of your passport.

The Declaration of Finance (DCF) form can be accessed here.

F1 Transfers:

International Students who are looking to transfer to FIU must provide the following documents to begin the F-1 Transfer process:

F-1 Student Transfer Form
Bank Letter: If on your application, you have indicated On-Campus Housing, the DCF and Bank Letter would need to show sufficient funds of a minimum of $39,907 USD. If you indicated Off-Campus housing, the DCF and Bank Letter would need to show sufficient funds of a minimum of $46,247.
Sponsor Letter (only needed if someone other than yourself will be sponsoring your tuition).
Copy of your passport.

Access the F-1 Student Transfer Form here.

Below are the documents for the bank accounts which are accepted:

Personal funds – A recent bank statement or bank letter from either a checking or savings account
Funds from family or sponsor – A recent bank statement or bank letter from either a checking or savings account along with an affidavit of support containing both student’s and sponsor’s name, relationship, and amount of funds available for the purpose of the applicant’s studies. Funds should be shown at current USD exchange rate.
FIU Scholarship or Departmental Funding – Please indicate the type of funding or scholarship name and the Departmental Contact in the section above, so we may verify.
Government or other sponsoring agency – a signed copy of the scholarship or award letter stating the amount, name of recipient and duration of award.

Examples of financial documents that will not be accepted include:

Annual salary statement, pay stubs, credit card statements
Real estate
Investments, stocks, retirement plans, insurance policies, or other accounts which money cannot be withdrawn

Schedule

The MS in Applied AI & IoT program is taught during regular, 15-week semesters, and courses are offered in a hybrid model.

Hybrid classes have both in-person, classroom sessions on campus and out-of-classroom learning experiences. Hybrid classes will have a set schedule for the days and times the in-person classes meet. The breakdown is about a third to two-thirds of the in-person classroom sessions, and the rest of the out-of-classroom experiences may be completed through Canvas, other online resources, or with experiential learning at off-campus sites.

Tuition

The total cost of the Master of Science in Applied AI & IoT program is currently $17,142.25 plus semester fees (approximately $20,000). Tuition will be calculated each semester based on the number of courses enrolled. Students must pay for courses at the beginning of each semester, and may select to complete their payments in one lump sum or via a payment plan.

Scholarships & Financial Aid

Academic Works

FIU offers Academic Works, a website that matches students with relevant scholarship opportunities. Find the one that’s right for you! Academic Works is an online scholarship application tool where FIU students can browse and apply for more than 100 scholarships, made possible by the generosity of FIU alumni and friends. Students can apply after they are matriculated into one of our programs. For more information visit https://give.fiu.edu/business-governance/scholarships/.

Federal Financial Aid

For information on Federal Financial Aid and the Free Application for Federal Student Aid (FAFSA), please visit our financial aid page. To contact the Financial Aid Office for more information visit http://finaid.fiu.edu or call (305) 348-7272.

30 CREDIT
HOURS

$17,142.25
+ semester fees*

*Approximately $20,000

Note: If part-time enrollment is pursued, costs will increase due to additional per-semester fees that will need to be charged in the progression towards the degree.