Program Overview

The University of New Mexico is pleased to offer a fully online master of science 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 Google, Sandia National Laboratories, and many others.

Instructors

The courses are taught by our world-renowned computer engineering faculty from the UNM School of Engineering. Professor Ioannis Papapanagiotou, a principal engineer at Google, teaches our AI infrastructure and Cloud Computing courses 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 Christopher Lamb, a cybersecurity scientist with Sandia National Laboratories, teaches Introduction to the Internet of Things and Cybersecurity courses.

The Senior leadership of the ECE Department is directly responsible for guaranteeing the quality of the program.

  • Professor Marios Pattichis is the director of ECE online programs and teaches the Problems course, supervising the development of Machine Learning projects, Digital Image Processing, and Optimization Theory. He is a Fellow of the European Alliance of Medical and Biological Engineering and Science and a Senior Member of the National Academy of Inventors.
  • Professor Manel Martinez-Ramon teaches the core courses in Machine Learning and Deep Learning. He holds the King Felipe VI Endowed Chair in ECE.
  • Dr. Papapanagiotou teaches the Cloud Computing and the AI Infrastructure courses. He is a Technical Director/Principal Engineer at Google responsible for AI in the reliability of Ads and Commerce systems (the highest revenue and traffic systems globally).
  • Professor Michael Devetsikiotis teaches the Advanced Networking course. He is an IEEE Fellow.
  • Professor Christos Christodoulou offers projects in the Problem courses that are also relevant to the Space Industry. He is an IEEE Fellow and Distinguished Professor of ECE.

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.

For individuals interested in pursuing 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.

You can read about the experiences of two of the first graduates of the IoT program on our blog.

Graduates may 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

   

 

Disclosures

All online and distance education is protected by federal regulations and policies. For details on these protections, refer to the following resources: Online Education Regulations, Professional Licensure Disclosures, and Complaint Resolution.

Admissions

Tuition and Fees

Total cost per credit hour is $538.72 and is comprised of: $432.40 base tuition + $106.32 college differential. There is a student technology fee charged each semester. It is $180 in the Fall, $180 in the Spring, and no fee in the Summer. There may be additional costs, depending on the class. Additional costs are often for textbooks, supplemental course materials, and proctoring fees. Graduate students are charged a $42 per semester Graduate and Professional Students Association (GPSA) fee.

Admissions Requirements

The Master of Science in Computer Engineering with a concentration in Internet of Things (IoT) is an accelerated 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. This program is not subject to application deadlines, and applications may be submitted at any time before the start of the term for which the student is applying. Students must maintain a 3.0 GPA in the required graduate coursework and achieve a grade of B or better in the required core courses. All applicants are expected to have college-level proficiency in English (reading and writing), programming, and mathematics. Applicants must have:

  • Completed 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.  
  • Three (3) letters of recommendation.
  • Statement of Purpose/Letter of Intent.
  • 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, or a Duolingo minimum score of 105. Official test results must be sent directly from ETS to the University of New Mexico (code #4845). Please refer to the ETS website for TOEFL testing options and updates.
  • The GRE is no longer required for admission to ECE graduate programs. 

Application Process

Application Deadlines: Accelerated Online Programs (AOPs), such as  M.S. Computer Engineering-Applied Machine Learning and AI Systems Engineering, M.S. Computer Engineering-Internet of Things and M.S. Electrical Engineering-Space Systems are not subject to deadlines. AOP applications may be submitted at any time prior to the start of the term a student is applying for. 

To apply for the program, in the Program of Interest section within the UNM Graduate Admissions Application, answer the following:

Are you applying for an online-only program?: Yes
What program are you applying for?: Computer Engineering
What Degree Type are you applying for?: MS 
Select your Area of Interest: Internet of Things

Degree Requirements

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 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 their program of studies cannot be below 3.0

The master of science 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. 

Look for the courses in the current schedule of classes with a course comment that reads "Limited to managed online program students only."  For more information, contact the ECE Grad App Assistance team at eceadmissions@unm.edu or 505.277.2436.

Required Courses (10 credit hours):

(Syllabi links are presented for general reference and may contain some outdated material. Contact the ECE department for accurate information.)

List of courses required for degree.
Course NumberCourse NameCredit Hours
ECE 517Machine Learning3
ECE 531Introduction to Internet of Things3
ECE 540Advanced Networking3
ECE 590Graduate Seminar1

Additional Elective Courses (21 credit hours):

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

List of elective courses for degree
Course NumberCourse NameCredit Hours
ECE 506Optimization Theory3
ECE 510Deep Learning3
ECE 529Introduction to Cybersecurity3
ECE 530Introduction to Cloud Computing3
ECE 533Digital Image Processing3
ECE 535Satellite Communications3
ECE 551Problems in Machine Learning3 to 6
ECE 561Engineering Electrodynamics3
ECE 595AI Infrastructure3
ECE 595Cybersecurity II3
ECE 595Internet of Things: Hands on Applications3

ECE 595 (1h)*

*(1h) is a course taken the first half of a semester

Probability Theory and Stochastic Processes2

ECE 595 (2h)**

**(2h) is a course taken the second half of a semester

Optimal Estimation and Filtering 1

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

 Accelerated Online Program

At a Glance

Major Requirements: 31 Credit Hours
Cost Per Credit Hour: $538.72
Length of Classes: 8 and 16 weeks

College/School: School of Engineering

Tuition:

Program Details and Tuition & Fee Information.

Legal Disclosures: The US Dept of Education gathers information on outcomes for our career-focused programs, including the costs, completion time, graduation rates, job placement, and average student debt, to help you make informed decisions about your education. This information can be found at Home | College Scorecard (ed.gov)

Contact

Website: Electrical and Computer Engineering
Phone: UNM Online Student Support: (505) 277-9000
Email: online@unm.edu