The Best Online Machine Learning Master's Degrees

The School of Engineering at Columbia University offers an online Computer Science Master's in Machine Learning degree.

The curriculum requires:

• Breadth courses
• Six points of Required Track courses
• Six points of Track Electives
• Six points of General Electives

Breadth courses cover these categories:

• Theory
• Systems
• AI and Applications

Each Student must complete a minimum of one approved class from each category and then one additional class from any of the three categories, and must maintain a minimum GPA of 2.7 throughout the program. At the end of the program graduates can apply their knowledge to a variety of fields including:

• Bioinformatics
• Fraud detection
• Intelligent systems
• Finance
• Information retrieval

Credit requirements: 30 credits

Selection of courses:

• Foundations of Graphical Models
• Computer Vision
• Computational Aspects of Robotics
• Biometrics
• Speech Recognition
• Advanced Robotic Manipulation

Program length: up to five years

Start dates: Fall, Spring, and Summer

Admissions and transfer credit information: an undergraduate degree, preferably in a related field, with a minimum GPA of 3.3 is required. Transcripts, resume, personal statement, three letters of recommendation, and GRE test scores must be submitted.

Admissions accepts up to six transfer credits.

The George Washington University offers the Master of Engineering in Artificial Intelligence and Machine Learning degree online.

Students learn relevant skills in modern AI and ML technologies in these domains of competency:

• robotics
• neural networks
• natural language processing
• autonomous systems
• deep learning
• computer vision

The ethical and societal considerations of AI and ML are considered and part of the instruction.

Credits: 30 credit hours.

The online program consists of 10 courses (each are three hours).

Courses include:

• Program and Project Management
• Python Applications in Data Analytics
• Introduction to Computer Vision
• Privacy and Organizational Issues in AI

There is a capstone requirement. According to their website, in the capstone, students will:

"Propose on a comprehensive AI project, applying acquired skills and knowledge from the program. Tackle real-world problems, design and implement effective solutions under faculty guidance. Demonstrate mastery in AI through project completion and presentation. (3 credit hours)"

The George Washington University

The University of Illinois at Chicago has an online Master of Engineering with a focus in Artificial Intelligence and Machine Learning.

This is a graduate engineering degree which includes AI and ML instruction, including study in deep neural networks and natural language processing. Students also learn leadership skills, such as engineering law and management, along with industry-relevant tools.

Credits required: 9 courses, totaling 36 credit hours.

AI and ML courses include:

• Intro to Deep Neural Networks
• Intro to Machine Learning
• Image Analysis and Computer Vision
• Math Fundamentals for Engineers and Data Scientists

This online master's can be finished in one year with their 8-week accelerated terms.

Tulane University offers the online Master of Science in Computer Science with a specialization in Artificial Intelligence and Machine Learning.

This degree can be completed in 20 to 28 months (which amounts to five semesters), and there is no requirement of having a GRE test or score for admission.

Courses include:

• Artificial Intelligence
• Game Programming
• Machine Learning and NLP (Natural Language Processing)
• Data Visualization

Credits required: 30 credit hours (9 core credits and 21 elective credits)

The University of San Diego offers the online Master of Science in Applied Artificial Intelligence degree. This program is the same for online and on-campus students.

This program focuses on teaching applied ai and machine learning, which means that students will use ai and machine learning to solve real world problems.

Online students learn proficiency in these domains of AI:

• Deep Learning
• Natural Language Processing
• Internet of Things
• Computer Vision

Online courses include:

• Introduction to Artificial Intelligence
• Data Analytics and Internet of Things
• Machine Learning: Fundamentals and Applications

The time it takes to get this online degree is 20 months (less than two years). Courses last for seven weeks, are taken one at a time, and two courses are taken for each semester. This AI programs culminates in a capstone project.

Drexel offers the Master of Science in Artificial Intelligence and Machine Learning degree online, that is also available on-campus.

This program is customizable, offering three online graduate certificates, which, when combined, are given credit for a full master's. This allows part time or full time students to choose three certificates from among a varied and wide array of certificate programs.

For example, the first certificate can be in Artificial Intelligence and Machine Learning, and the second certificate in Data Science, and then work with the advisors to tailor the third certificate to build upon the first two.

This is a very innovative way to tailor the particular fields of study within the AI and ML framework. In addition to the completed Master's program, graduates will have completed three certifications.

Course length: 45 credits

Selection of core courses:

• Deep Learning
• Artificial Intelligence
• Machine Learning
• Artificial Intelligence and Machine Learning Capstone I–II

This program teaches theoretical and applied artificial intelligence and machine learning competencies.

Colorado State University offers several computer science related fields of study including:

• Information Technology Management
• Cyber Security
• Web Application Development
• Artificial Intelligence and Machine Learning

The Online Master of Science in Artificial Intelligence and Machine Learning degree is for those with an interest in designing technical solutions for real-world problems. Coursework in Discrete Mathematics and Quantitative Business Analysis must be completed before starting this program. This ai degree program teaches:

• Achieving goals using Artificial Intelligence reasoning
• Applying logic and machine learning to problem solving
• Analyzing and controlling project goals and outcomes
• Using ethical practice in data processing and robotic control

Graduates of the program have successful careers as:

• Intelligence or Interaction Designer
• Systems Analyst
• Software Developer
• AI or Machine Learning Scientist/Engineer

Credit requirements: 30 credits

Selection of core courses:

• Principles of Programming
• Ethical Leadership in Software Development
• Foundations of Operating Systems
• Principles of Machine Learning
• Applying Machine Learning and Neural Networks - Capstone

Online instruction style: Asynchronous

Admissions and transfer credit information: Interested applicants must have a previous undergraduate degree with a 3.0 GPA.

The online Master of Science in Data Science at Southern Methodist University is interdisciplinary, drawing on experts from these departments:

• The Dedman College of Humanities and Sciences
• The Lyle School of Engineering
• The Meadows School of the Arts

There are two areas of specialization available: Machine Learning and Business Analytics.

The online Master of Science in Data Science with a specialization in Machine Learning requires:

• 30 credits of coursework
• 1.5-credit immersion experience located on an SMU campus in Texas
• 2-credit capstone project

This program teaches mathematical foundations and advanced computational algorithms. The algorithms can be applied to solving complex problems. Upon graduate may pursue highly technical careers such as:

• Data Architect
• Programmer
• Application Developer
• Statistician

Credit requirements: 33.5 credits

Selection of core courses:

• Statistical Foundations for Data Science
• Doing Data Science
• Applied Statistics: Inference and Modeling
• File Organization and Database Management
• Machine Learning
• Visualization of Information
• Quantifying the World

Online instruction style: Asynchronous and Synchronous aspects.

Program length: twenty to twenty four months.

Start dates: January, May, August, and November.

Admissions and transfer credit information: Students must submit transcripts, professional resume, statement of purpose, at least one letter of recommendation, and GRE test scores.

The Online Master's in Computer Science degree through Georgia Tech offers specializations in:

• Machine Learning
• Computation Perception and Robotics
• Computing Systems
• Interactive Intelligence

The Online Master of Science in Computer Science: Machine Learning Specialization is the first degree of its kind available through a Massive Online Open Course platform. This format allows Georgia Tech to reach a larger student body at a more affordable price. Georgia Tech is able to offer this program format in partnership with Udacity and AT&T.

Students must complete 15 hours of coursework for the Machine Learning track. This includes six hours of core classes and nine hours of electives. The additional 15 hours to complete the degree are any free elective courses through the Computer Science program.

Credit requirements: 30 hours

Selection of possible courses:

• Introduction to Graduate Algorithms
• Machine Learning
• Computer Vision
• Reinforcement Learning and Decision Making
• Big Data for Health
• Bayesian Methods

Program length: Most students complete the program in three years. Georgia Tech allows up to six years.

Start dates: Fall or Spring

Admissions and transfer credit information: Students must submit previous transcripts showing a minimum GPA of 3.0. Admissions prefers applicants with a strong background in a computer science related area. Additional material includes three letters of recommendation and GRE test scores.

Stevens Institute of Technology offers an Online Master of Science in Machine Learning. The curriculum requires students to complete a minimum of four core courses and three electives.

Students gain a comprehensive understanding of deep learning theory with machine learning foundations. Students then develop real-world applications in a variety of fields including:

• Computer vision
• Speech recognition
• Robotics
• Finance
• Weather prediction

Both thesis and non-thesis tracks are available. Stevens Institute encourages students to take advantage of the main campus location and its connections to New York City for internship opportunities. Graduates of the program have found career opportunities as:

• Research Scientist
• Data Scientist/Engineer
• Machine Learning Engineer
• Business Intelligence Developer

Credit requirements: 30 graduate credits

Selection of required courses:

• Machine Learning: Fundamental and Applications
• Artificial Intelligence
• Deep Learning
• Natural Language Processing
• Statistical Machine Learning

Learning enrollment options: Part or Full time enrollment

Admissions and transfer credit information: Students must have a prior undergraduate degree with a minimum GPA of 3.0. Students must submit official transcripts and two letters of recommendation. Submitting a professional resume is optional. Students attending full-time must also submit GRE scores. Admissions does not require GRE scores for students attending part-time.

The online Master of Science in Machine Learning is offered by the Milwaukee School of Engineering.

This degree is unique, designed to address machine learning applications to solve industrial problems, and launch products developed from machine learning.

Required core courses include:

• Machine Learning Capstone
• AI Ethics and Governance
• Mathematical Methods for Machine Learning
• Machine Learning Production Systems
• Applied Machine Learning

As students take the courses, they earn these two certificates:

• Machine Learning Engineering Graduate Certificate
• Applied Machine Learning Graduate Certificate

As part of the program, students will have access to their supercomputer called "ROSIE".

The University of Texas at Austin offers an online Master's of Artificial Intelligence, which also includes instruction in Machine Learning.

Online students learn the following AI subjects:

• ethics in AI
• case studies in machine learning
• reasoning under uncertainty

The Ethics in AI class is the only required course, and the remaining 27 hours are Electives.

Elective courses include:

• Case studies in Machine Learning
• Online Learning and Optimization
• AI in Healthcare
• Natural Language Processing
• Automated Logical Reasoning

Credits: 30 credit hours (each course is 3 hours, so there are 10 courses)

Classes are asynchronous, which means that there is no set time to attend classes, which allows for flexibility.