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Master's in Applied AI & Internet of Things

The MS in Applied AI & Internet of Things (IoT) is a professional graduate program that enables students to engage with the full life cycle of data and understand its applications to emerging fields of technology, including cybersecurity, networking, the Internet of Things, sensors and robotics.

Highlights

  • Advanced training in applied AI, a high-demand field
  • Competitive edge through valuable Azure certifications
  • Flexible scheduling with hybrid course offerings
  • No GRE requirement for admission
  • STEM-designated program

The curriculum prepares you to implement AI solutions, conduct advanced research and master data sciences. Graduates of this program have gone on to work in smart home automation, autonomous automotive technologies, smart manufacturing, precision agriculture, AI-optimized energy grids, urban development, e-commerce, telecommunications and financial services.

View this program in the University Catalog

Course Outcomes

In the MS in Applied AI & IoT program, our curriculum is designed to help you master specialized knowledge in:

  • Implementation of regression, classification and clustering algorithms
  • Application of image processing
  • Sequencing/time series data using Convolution Neural Network and Recurrent Neural Network algorithms
  • Big data technologies and their application to large-scale data sets Data storage using Hadoop Distributed File System
  • Batch processing In-memory analytics using Spark
  • Importing data with Kafka message broker
  • No-SQL databases like Cassandra or Mongo DB

Program Information

  • Application Requirements
    • 4-year bachelor’s degree in engineering or a closely related field, such as business administration, from an accredited institution
    • Submit the FIU Master’s Program Online Application, which will ask you to submit:
      • Official transcripts of all previously earned college or university credits
      • A statement or letter of intent
      • Three letters of recommendation
      • A statement of objectives
      • Resume or CV
    • Familiarity with programming

    For more information, visit the FIU Admissions Graduate Applicant page.

  • Certifications

    The program includes the following certifications to strengthen your professional skills:

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

    You may email msiot@fiu.edu to submit supporting documentation and confirm that your application has been submitted.

    Supporting materials sent via mail should be addressed to:

    ATTN: Ryan Alfaro
    MS in Applied AI & IoT
    FIU College of Engineering & Computing
    10555 West Flagler Street, EC 2450B,
    Miami, FL, 33174, USA

    Universities can also email transcripts directly to Ryan Alfaro at ralfaro@fiu.edu.

  • International Students

    International students should refer to the FIU International Admissions site for additional instructions on how to apply or enroll as a first-time or transferring international student.

  • Hybrid 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. 

    Sample Full-time Course Schedule

    Fall Y1:

    • CNT6154- Advanced Machine Learning in ECE
    • CNT6156- Advanced Python Programming in ECE
    • CAI5867- Advanced Data Engineering in ECE

    Spring Y1:

    • CNT6144 - Advanced Cloud Services in ECE
    • CNT6150 - Advanced Deep Learning in ECE
    • CNT6152 - Advanced Data Visualization in ECE

    Summer Y1:

    • CNT6148 - Advanced Big Data Analytics in ECE

    Fall Y2:

    • CAI5858 - Advanced Embedded AI EEE5718 - IoT Security & Privacy CAI6856 - Advanced Generative AI in ECE

    The program structure and course offerings are subject to change. For a full course list, please refer to the University Catalog.

  • 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 up to 36 months (one year of OPT + two years of STEM OPT) for STEM designated programs.

Apply to FIU

Interested students are encouraged to apply to FIU as early as possible. Applicants must submit transcripts from all schools attended, as well as any other supporting documentation required by their program of interest.

Apply