MS in Applied AI & IoT Program Overview

The MS in Applied AI & IoT is a professional graduate program in Electrical & Computer Engineering (ECE) focused on Artificial Intelligence (AI). The curriculum includes basic and advanced concepts in Machine Learning, Deep Learning, Generative AI, Large Language Model, Computer Vision, Big Data, and Cloud Technologies.

Program Description

The program helps students identify and solve complex problems from various domains like Cyber, Network, IoT, Sensors, Robotics, etc. As part of this track, students will learn the 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.

Program Requirements

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.

Certifications Included in the Program

The program includes the following certifications:

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

Admission Requirements

To be admitted to the program, applicants must:

• Have 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).
• Have some programming knowledge.
• Submit official transcripts of each previously attended university (undergraduate and graduate) in an envelope sealed by the degree granting institution.
• 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

Full-Time Course Schedule

The program offers a full-time course schedule with the following courses:

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

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

Part-Time Option

The program also offers a part-time option with a 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

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.

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.

Scholarships & Financial Aid

The program offers various scholarships and financial aid options, including Academic Works, a website that matches students with relevant scholarship opportunities, and Federal Financial Aid.

Faculty

The program is taught by a team of experienced faculty members, including:

• Kang K. Yen, Ph.D., Professor and Director of External Programs
• Himanshu Upadhyay, Ph.D., Associate Professor and Program Director
• Alexander Perez-Pons, Ph.D., Associate Professor and Program Director
• Osama A. Mohammed, Ph.D., Distinguished University Professor
• Arif I. Sarwat, Ph.D., Professor
• Malek Adjouadi, Ph.D., Ware Professor and Distinguished University Professor
• Armando Barreto, Ph.D., Professor
• Nonnarit O-Larnnithipong, Ph.D., Assistant Teaching Professor
• Gustavo Chaparro-Baquero, Ph.D., Associate Teaching Professor
• Yu Du, Ph.D., Associate Teaching Professor
• Jayesh Soni, Ph.D., Postdoctoral Associate
• Walter Quintero, MS, Research Scientist and Adjunct Faculty
• Santosh Joshi, M.S., Research Specialist and Adjunct Faculty
• Pranav Gangwani, Ph.D, Postdoctoral Associate and Adjunct Faculty

Florida International University

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Overview:

Florida International University (FIU) is a public research university located in Miami, Florida. It is the only public research university in Miami and is recognized as a Preeminent State Research University by the Florida Board of Governors. FIU is known for its diverse student body, its commitment to research, and its focus on addressing global challenges.

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Services Offered:

FIU offers a wide range of services to its students, including:

Academic Support:

Libraries, tutoring services, writing centers, and career counseling.

Student Life:

Student organizations, clubs, recreational activities, and cultural events.

Campus Resources:

Housing, dining, transportation, and healthcare services.

Technology:

Access to computer labs, Wi-Fi, and online learning platforms.

Financial Aid:

Scholarships, grants, loans, and work-study programs.

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Student Life and Campus Experience:

FIU provides a vibrant and diverse campus experience for its students. With over 58,000 students from 142 countries, the university fosters a global and inclusive environment. Students can engage in a variety of activities, including:

Student Involvement:

Joining clubs, organizations, and honor societies.

Campus Highlights:

Attending concerts, sporting events, and cultural performances.

Arts & Culture:

Visiting museums, art galleries, and theaters.

Recreation & the Outdoors:

Participating in sports, fitness activities, and outdoor adventures.

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Key Reasons to Study There:

Top-Ranked Programs:

FIU offers over 190 degree programs, many of which are ranked among the best in the nation.

Research Excellence:

FIU is a Carnegie Very High Research institution, conducting groundbreaking research in various fields.

Global Focus:

FIU's location in Miami provides students with unique opportunities to engage with a diverse and international community.

Diverse Student Body:

FIU's student population represents a wide range of backgrounds and cultures, fostering a rich and inclusive learning environment.

Campus Amenities:

FIU offers a variety of resources and amenities to support student success, including modern facilities, housing options, and recreational opportunities.

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Academic Programs:

FIU offers a wide range of academic programs across various disciplines, including:

Arts and Design

Business and Economics

Education

Hospitality Management

Humanities and Culture

Medicine and Health

Public Policy

Sciences and Engineering

Technology

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Other:

FIU has multiple campuses across South Florida, including the main Modesto A. Maidique Campus, the Biscayne Bay Campus, and several satellite locations. The university also boasts a strong alumni network of over 200,000 individuals.