Turn Data Into Intelligence.

 

 

 

 

 

 

Apply by:
November 1st

To begin:
Spring 2022

Overview

The Master of Science in Internet of Things (IoT) enables graduates in computing and related areas to pursue a graduate degree in a technology-driven discipline. In this fast-growing area, the M.S. in IoT degree provides a sought-after set of technical skills to build on an ecosystem of hardware, software and services that turn data into intelligence. With IoT devices as a part of everyday existence and given their rapidly increasing deployment by leading corporations, it will be an IoT world.

Graduates of the M.S. in IoT program will gain the knowledge and capabilities to position themselves in this rapidly growing and expanding field with increasing employment opportunities and higher earning potential. Career opportunities include employment as entrepreneurs and/or in the areas of the ever-evolving tech industry, including smart homes, smart grid, smart transportation and smart medical devices. The program focuses on research and device/product development to fill the estimated over 300K available job opportunities with an average U.S. salary of over 100K.*

*Average Annual U.S. Salary 107k | *Estimated 316,400 new jobs: Source

IoT program graduates will be prepared to:

  • conduct research on the fundamental underlining concepts associated with IoT technology (Software, Hardware, Communications, and Security).
  • select, install, customize, and maintain state-of-the-art IoT devices and networks.
  • perform data analytics, machine learning, deep learning, and big data.
  • utilize and understand contemporary IoT applications and protocols commonplace to the industry.
  • explain the legal and ethical implications of their work and an awareness of the impact of their actions and decision-making on individuals, society, and the environment.

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

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 in engineering, physical sciences, computer science, or mathematics from an accredited university with a minimum of 3.0 (“B”) average in the upper-level (the last 60 credit hours). An applicant whose GPA does not meet the minimum GPA requirement may be considered for conditional admission.
  • Official transcript of each previously attended university (undergraduate and graduate) in an envelope sealed by the degree granting institution.
  • 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.
  • Official TOEFL (minimum score 550 paper-based, or 213 computer-based, or 80 internet-based) or IELTS (minimum 6.5). It is a requirement for students who attended/graduated from universities in non-English speaking countries. FIU Institutional code is 5206.
  •  FIU is now accepting the Duolingo English Test through Fall 2022 admission. The Duolingo English Test is very straight forward and easy to sign up. Test takers can do everything from the comfort of their own home and device with an internet connection and webcam. To sign up, simply go to the Duolingo English Test website: https://englishtest.duolingo.com/ (open with Firefox) and follow the instructions there. The test is $49 USD, takes about one hour to complete, and is computer adaptive. FIU’s minimum score requirement is 105. Test scores are available approximately 48 hours after the test has been completed. It is free to the test taker to send test scores to multiple accepting institutions.
  • 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.)
  • 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.)
  • Three letters of recommendation from employers, faculty, or professional associates. (May be submitted via email.)

Mailing Address:

Florida International University
Graduate Admissions
P.O. Box 659004
Miami, FL 33265-9004
Courses

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

Core Courses (7 courses, 21 credit hours)*
  • TCN 5271 Advanced IoT Communications and Networking (3). Techniques impacting ubiquitous, embedded sensor network-centric telecommunications, context-awareness, autonomy, data quality, uncertainty, privacy, trustworthiness and wearable computing.
  • EEE 5718 Advanced Security of Internet of Things and Cyber-Physical Systems (3). In this project-based class, the students will gain advanced hands-on training in the security of Internet-of-Things (IoT) and Cyber-Physical Systems (CPS) areas.
  • EEE 6525 Advanced Sensor Signal Processing (3). Various sensor systems, sensor signal detection, signal estimations, distributed sensor networks, sensor data fusion approaches, wireless sensor networks, radar networks and optimal sensor allocation and sensor network design.
  • TCN 6276 Antennas for Wireless and Body-Centric Communications (3). Advanced antenna theory, simulation, and design as applied to wireless communications, advanced state-of-the art antenna systems, and body-centric wireless communications.
  • EEL 6795 Power Aware Computing (3). The power/thermal challenges in computing system design; source of the power dissipation and power/thermal modeling; power/thermal aware design techniques at different design abstraction levels.
  • EEL 6787 Network Security (3). Network Security Requirements, Number Theory, Steganography, Encryption Design Principles and Algorithms, Message Authentication and Digital Signature Principle and Designs, Network System Security Design.
  • CNT 6148 Advanced IoT and Sensor Big Data Analytics (3). This course focuses on Big Data processing associated with IoT/sensor devices in extracting actionable intelligence. The fundamental algorithms and techniques that drive Big Data for IoT data are explored.
Elective Courses  (3 courses, 9 credit hours)*
  • CNT 6144 Advanced IoT Analytics with Cloud Services
  • CNT 6150 Advanced Sensor and IoT Data Analytics with Deep Learning
  • CNT 6154 Advanced IoT Applied Machine Learning

*May be subject to change.

Schedule

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.

Tuition

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 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.

 

INFO SESSION

October 25, 2021
12:00 – 1:00 PM
Online

fiuonline.fiu.edu

30 CREDIT
HOURS

 

fiuonline.fiu.edu

$17,142.25
+ semester fees*

     *Approximately $20,000

HIGHLIGHTS

  • First IoT graduate degree in Florida
  • Flexibility of schedule with hybrid course offerings
  • No GRE Requirement
  • Research funding opportunities in nanotechnology, wireless communications, power source, security and more

CONTACT US

Luisa Ruiz Photo

Luisa Ruiz
Senior Program Coordinator
Phone: 305.348.2683
Email: msiot@fiu.edu

Our Faculty

Kemal Akkaya

Kemal Akkaya

Gang Quan

Gang Quan

A. Selcuk Uluagac

A. Selcuk Uluagac

Associate Professor
auluagac@fiu.edu
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Ou Bai

Ou Bai

Associate Professor
obai@fiu.edu
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Hai Deng

Hai Deng

Associate Professor
hdeng@fiu.edu
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Elias Alwan

Elias Alwan

Assistant Professor
ealwan@fiu.edu
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Asahi Tomitaka

Asahi Tomitaka

Assistant Teaching Professor
atomitak@fiu.edu

Himanshu Upadhyay

Himanshu Upadhyay

Principal Scientist
upadhyay@fiu.edu
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Suresh Peddoju

Suresh Peddoju

Postdoctoral Associate
speddoju@fiu.edu
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