Be AI Ready

Practical solutions for the real world






Graduate Application Day:
May 25th

10:00 AM – 1:00 PM
FIU Engineering Center

10555 W. Flagler Street, Miami FL. 33174

Information Session:
June 19th

12:00 PM – 1:00 PM
Online (Virtual)

Apply by:
July 15

To start:
August (Fall 2024)

Quick facts on MS IOT with focus on Applied AI


The Master of Science in Internet of Things (Focused on Applied AI) program equips graduates in computing and related fields to excel in a technology-driven discipline that is now embracing Applied Artificial Intelligence (AI) to enhance its impact. This fast-growing field combines an ecosystem of hardware, software, and services that leverage both IoT and AI to turn data into actionable intelligence. As IoT devices become ubiquitous in daily life and continue to be deployed extensively by leading corporations, the integration of AI is setting new standards for what can be achieved, heralding an era where intelligent solutions are at the forefront.

Graduates of the M.S. in IoT program will not only gain comprehensive technical skills but will also develop proficiency in Applied AI, positioning them uniquely in a rapidly evolving market with increasing employment opportunities and higher earning potential. This program prepares students for a dynamic career landscape, offering roles in areas such as smart homes, smart grids, smart transportation, and smart medical devices, as well as opportunities within the emerging Miami tech industry and beyond. By focusing on both IoT and Applied AI, our graduates are prepared to lead and innovate in an IoT world increasingly powered by intelligent technology. The program focuses on research and device/product development to fill the estimated over 451K available job opportunities with an average U.S. salary of over 132K.*

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

Certifications Included in the Program

  • AI-900Microsoft Certified: Azure AI Fundamentals
  • AZ-900Microsoft Certified: Azure Fundamentals
  • DP-900Microsoft Certified: Azure Data Fundamentals
MS 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.

IoT program graduates will be prepared to:

  • Graduates of the M.S. in IoT, with a focus on Applied AI, will be uniquely equipped to:
    • Conduct Advanced Research: Engage in cutting-edge research that explores the integration of AI with IoT technology across software, hardware, communications, and security domains.
    • Develop and Implement AI Solutions: Select, customize, and maintain advanced IoT devices and networks that leverage AI technologies for enhanced functionality and efficiency.
    • Master Data Sciences: Perform sophisticated data analytics, utilizing machine learning, deep learning, and big data techniques to extract actionable insights from vast IoT data streams.
    • Navigate Modern IoT Landscapes: Utilize and understand contemporary IoT applications and protocols that are common in the industry, with a particular focus on how AI can optimize these technologies.
    • Address Ethical and Legal Considerations: Explain the legal and ethical implications of their work, with an awareness of the impact of their actions on individuals, society, and the environment, emphasizing responsible AI use and data governance.

Internet of Things  (IoT)  devices have become part of our lives. As they are increasingly deployed in various domains such as smart cities, health, agriculture, manufacturing, tourism, automotive, retails, etc., they are now readily accessible to the end-users who need to manage them on a daily basis. Therefore, there is a growing need to educate and train a new workforce with advanced knowledge on various aspects of IoT. FIU’s new MS program on IoT will provide this needed training while also keeping up to date with the new developments in this emerging area.

Kemal Akkaya


Program Requirements and Information

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


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 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.
  • College algebra and 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 IoTFIU College of Engineering & Computing10555 West Flagler Street, EC 2450B,Miami, FL, 33174, USA
    • Universities can also email transcripts directly to Ryan Alfaro at

MS in Internet of Things (IoT) is a new 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.

The M.S. in IoT program requires 30 credit hours of coursework (10 courses).

  • CNT 6154 Advanced Machine Learning in ECE (Fall)
  • CNT 6156 Advanced Python Programming in ECE (Fall)
  • CNT 6xxx Advanced AI Principles in ECE (Fall)
  • CNT 6152 Advanced Data Visualization in ECE (Fall) 
  • CNT 6150 Advanced Deep Learning in ECE (Spring)
  • CNT 6148 Advanced Big Data Analytics in ECE (Spring )
  • EEL/CNT Elective (Spring)
  • CNT 6xxx Advanced Generative AI in ECE (Summer)
  • CNT 6144 Advanced Analytics with Cloud Services in ECE (Summer)
  • EEL/CNT Elective (Summer)
 Elective Courses* (Select 3 per program cohort)*
  • EEL 6787 Network Security
  • EEE 5718 IoT Security and Privacy
  • TCN 5271 Ubiquitous and Embedded Sensor Network Centric Telecommunications
  • CNT 5415 Practical Applied Security
  • CNT 6152 Advanced Data Visualization in ECE
  • CNT 6xxx Advanced Embedded AI
  • CNT 6xxx Database for AI Applications in ECE

*May be subject to change.



STEM Designation

The Master of Science in Internet of Things (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.


The MS in IoT program is taught during regular, 15-week semesters, and courses are offered in a hybrid model. The program can be completed in one year if the student follows the full-time schedule.

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.


The total cost of the Master of Science in the Internet of Things 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


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 or call (305) 348-7272.


+ semester fees*

     *Approximately $20,000


  • First IoT graduate degree in Florida
  • Flexibility of schedule with hybrid course offerings
  • No GRE Requirement
Storydoc-MS IoT- FIU


Luisa Ruiz Photo

Luisa Ruiz
Program Manager
Phone: 305.348.2683

Ryan Alfaro Image

Ryan Alfaro
College Recruiter

Our Faculty

Alexander Perez-Pons

Alexander Perez-Pons

Associate Professor/M.S. Program Director for IoT

Gustavo Chaparro-Baquero

Gustavo Chaparro-Baquero

Assistant Teaching Professor
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Mohammad Shah Alam

Mohammad Shah Alam

Assistant Teaching Professor

Himanshu Upadhyay

Himanshu Upadhyay

Associate Professor
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Jayesh Soni

Jayesh Soni

Postdoctoral Associate

Masudur Siddiquee

Masudur Siddiquee

Postdoctoral Associate
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