MSc in Computer Engineering - Internet of Things

General

Program Description

Program Overview

The University of New Mexico is pleased to offer a fully online master's program in Computer Engineering with a specialization in the Internet of Things. Courses are offered in a convenient, eight-week online format. This graduate program was developed with input from our industrial partners including Netflix, Sandia National Laboratories, and many others. UNM is  highly affordable and designated as a Carnegie Research 1 University (for highest level of research activity).

The courses are taught by our world-renowned computer engineering faculty from the UNM School of Engineering. Professor Ioannis Papapanagiotou, a senior engineering leader at Netflix, teaches our Cloud Computing course and has helped us co-design our course on the Introduction on the Internet of Things to support the latest and the next generation of Networks. Professor Lamb, a cybersecurity scientist with Sandia National Laboratories, teaches Introduction to the Internet of Things and Introduction to Cybersecurity.

The Senior leadership of the ECE Department is directly responsible for guaranteeing the quality of the program. Professor Michael Devetsikiotis, the ECE Department Chair and an IEEE Fellow, is teaching the Advanced Networking course. Professor Manel Martinez-Ramon, the King Felipe VI Endowed Chair, teaches MachineLearning. Professor Pattichis, the director of our online programs and holder of the Gardner Zemke Professorship in Teaching, is teaching a Problems course to supervise the development of Machine Learning projects. Professor Plusquellic, the Area Chair of Computer Engineering and leader in hardware security, teaches the course in hardware security.

Prospective students need to have a baccalaureate degree in Electrical Engineering, Computer Engineering, Computer Science, or an equivalent program of study.  All applicants are expected to have college-level proficiency in English (reading and writing), programming and mathematics.  See the Degree Requirements tab to view the full list of admissions requirements.  

For individuals interested in pursing a doctoral degree, the Internet of Things program provides a great foundation for application to UNM's Ph.D. in Electrical Engineering or Computer Engineering programs.

Possible Careers

The MS in Computer Engineering - Internet of Things (IoT) program was developed with industry input to provide graduates with the skills desired by the fast-growing computer industry.  Students will learn how to develop the software and hardware systems that allow devices to collect and exchange data on a massive scale; that is, on the scale of the Internet with billions of connected devices. Students who successfully complete the curriculum will be prepared for entry into the computer industry or related fields of study such as autonomous and electric vehicles, smart grid, situational awareness for smart health, crowdsourcing based services, and security for smart cities. 

UNM’s Internet of Things program recognized as the #1 Most Affordable Online Master’s in Computer Engineering by OnlineU.org.

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MS in CompE ranked #1 least expensive Computer Engineering online.

Program Details

The Master of Science in Computer Engineering with a concentration in the Internet of Things (IoT) is a managed online program that is designed to accommodate students with an interest in computing and the emerging problems associated with IoT.  Prospective students need to have a baccalaureate degree in Electrical Engineering, Computer Engineering, Computer Science, or an equivalent program of study.  All applicants are expected to have college-level proficiency in English (reading and writing), programming, and mathematics.  

The MS degree consists of five required courses plus an additional six elective courses. The courses can be taken in any order and can be currently completed in as little as 18 months. 

Required Courses

  • Machine Learning
  • Introduction to the Internet of Things
  • Advanced Networking
  • Graduate Seminar
  • An additional 500 level ECE Course

Additional Elective Courses (18 credit hours)

Select courses from the following list, in consultation with an advisor:

  • Hardware Software Codesign with FPGA's
  • Hardware-Oriented Security and Trust
  • Introduction to Cybersecurity
  • Introduction to Cloud Computing
  • Satellite Communications
  • Problems in Machine Learning
  • ST: Stochastic Processes
  • ST: Optimal Estimation and Filtering

Degree Requirements

  • Completion of a baccalaureate degree in Electrical Engineering, Computer Engineering, Computer Science, or an equivalent program of study, with a minimum GPA (grade point average) of 3.0 (or equivalent) for courses in the major field of study over the last two undergraduate years.
  • College-level proficiency in English (reading and writing), programming, and mathematics.  
  • Minimum GRE Verbal Scores (old/new): 400/146
  • Minimum GRE Quantitative Scores (old/new): 650/151
  • Language Skills for International Students: International students must meet all UNM Graduate Admissions Requirements including tests for English proficiency. For more information regarding international students, please see International Students and Online Education. For international students, the minimum Graduate TOEFL Scores (Paper/Computer) are 550/213, minimum Graduate IELTS Score: 6.5. Official test results must be sent directly from ETS to the University of New Mexico (code #4845)

Degree Information

The degree is offered as a Masters Plan III Option (course work only) program which consists of:

  • A minimum of 31 hours of coursework (including ECE 590), with a minimum of 18 hours in ECE.
  • At least 13 credit hours must be ECE core courses.  The remaining courses are free electives.
  • A maximum of 6 hours of 400-level ECE courses, and no more than 6 hours of 400-level Non-ECE courses (400-level courses must be approved for graduate credit.  ECE 495 cannot be used for graduate credit).
  • A maximum of 6 hours in "problems" courses (ECE 551 or ECE 651).
  • At least 50% of the required coursework must be completed after admission to the graduate program.
  •  At least one credit hour, but not more than two credit hours, of graduate seminar (ECE 590).
  • No more than half of the minimum required coursework hours may be taken with a single faculty member.
  • No more than 6 credit hours of coursework can have a grade of C (2.0), C+ (2.33), or CR (grading option selected by student). ECE 590 is excluded from this limitation.
  • The CR grading option is not allowed for ECE core courses.
  • A student's cumulative GPA cannot be below 3.0. In addition, the GPA for courses presented in his/her program of studies cannot be below 3.0.

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Learning Goals

Graduates will successfully advance in their careers through:

  • Technical competence in computing, data, and networking;
  • Demonstration of professional skills appropriate for the global Internet of Things marketplace.

Student Learning Outcomes

Students receiving Masters degrees in Computer Engineering with an IoT specialization will:

  • Exhibit knowledge of computing fundamentals;
  • Demonstrate the ability to develop software and hardware components with applications in the Internet of Things.

Last updated Oct 2020

About the School

At UNM ECE we want you to succeed. We will help you find a good job. We will help you get your degree. We will give you all the tools and the confidence that you need to achieve your dreams.

At UNM ECE we want you to succeed. We will help you find a good job. We will help you get your degree. We will give you all the tools and the confidence that you need to achieve your dreams. Read less