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Most affordable Masters program in Artificial Intelligence and Machine Learning
The cost of a 2 year master's degree in a US University in Artificial Intelligence could vary notably between public and private universities. Graduate courses cost at a US university has a wide range when compared between various institutions. Tuition for a Master's degree in Artificial Intelligence at University of Missouri-St Louis is $30,154 while the University of North Texas has tuition of $13,712.

The Electrical and Computer Engineering Department (ECE) offers the Electrical and Computer Engineering M.S.-Machine Learning and Signal Processing (MLSP) named option program which is intended for students looking for an advanced entry into a data science career in industry.
Students will learn quantitative thinking, practical problem-solving, computer programming, and applications to a variety of domains. It is designed to deepen the student's technical knowledge and sharpen their professional skills for a well-prepared entry into industry. The program provides a practical focus through a course-only curriculum, an accelerated and predictable 16-month completion time, and a professional development hands-on project requirement. Well-prepared students and UW–Madison undergraduates may find it feasible to complete the program in 12 months.
The required coursework draws upon foundational and cutting-edge methods in MLSP, and is taught by faculty conducting pioneering research in the field. Successful students will have some experience with linear algebra, statistics, and programming. The combined focus on the mathematical foundations of data science and their practical application to real-world problems will prepare graduates to be ready to immediately contribute in a variety of different jobs across data science, machine learning, and signal processing.
The focus of the MLSP program differs from the traditional research-based M.S. program. MLSP students do not conduct independent research and prepare a thesis, but rather have an accelerated course plan focused in the MLSP area with a professional development hands-on project, either via an internship/co-op or an independent project. Students also have the opportunity to take select courses from Engineering Professional Development. If you are interested in research and advanced concept development, you are better served pursuing a research-based M.S. program or a Ph.D. program. If you want to complete your degree in 12–16 months and have a fast-track into the data science workforce, then the MLSP program is right for you.
Electrical and Computer Engineering Department (ECE) offers the Electrical and Computer Engineering M.S.-Machine Learning and Signal Processing (MLSP)
- GRE Required: No
- Research assistantships: 2733
- Teaching assistantships: 2355
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For a Master of Science in Computer Science, Specialization in Machine Learning (15 hours), students must select from the following:.
The following is a complete look at the courses that may be selected to fulfill the Machine Learning specialization, regardless of campus only courses listed with bold titles are offered through the online program.
CSE 6740 Computational Data Analysis: Learning, Mining, and Computation.
Elective ML courses must have at least 1 3 of their graded content based on Machine Learning.
CS 7642 Reinforcement Learning and Decision Making(Formerly CS 8803-O03).
You can find the list of current OMSCS courses here.
Specialization in Machine Learning
- GRE Required: Yes
- Research assistantships: 2547
- Teaching assistantships: 1234
- Financial Aid:

The MS in Statistics & Machine Learning prepares you for a range of career possibilities in statistics and machine learning and helps you stand out in the marketplace.
The need for professionals trained in the mathematical techniques of machine learning is greater than ever. In this program, you’ll work closely with faculty who have extensive backgrounds in applied mathematics, data science/analytics, computational science, statistics, industrial modeling, and much more. In lieu of one formal course, students may conduct a semester’s worth of independent study with a research advisor that leads to publication of a quality technical report in an area of statistical/data sciences.
This program is STEM designated, allowing international students who hold F-1 visas to apply for OPT work authorizations for a total of 36 months (an initial 1-year period and a 24-month OPT STEM extension) of paid work experience in the U.S. after graduation.
MS in Statistics & Machine Learning
- GRE Required: Yes
- Research assistantships: 122
- Teaching assistantships: 62
- Financial Aid:

57 universities offer the Master's program in Artificial Intelligence and Machine Learning. Which one best suits your need? We will help make you a decision.

The Master of Science in Artificial Intelligence and Machine Learning (AIML) provides a strong foundation in the artificial intelligence and machine learning fields with foci on mathematical foundations, algorithms, tools, and applications as they pertain to artificial intelligence and machine learning. Students will gain competency in fundamental methods and techniques in artificial intelligence and machine learning. Their understanding will be applied to real data sets and data analysis tasks with the help of state-of-the-art technologies, tools, and platforms. The Master of Science in Artificial Intelligence and Machine Learning program culminates in a two-term capstone experience where students work on a real-world or research problem using the knowledge they have gained throughout the program.
Master of Science in Artificial Intelligence and Machine Learning
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The machine learning master’s program establishes the theoretical and practical foundations necessary to be at the forefront of progress in the next technological revolution. Advancements made in machine learning and related disciplines will soon touch every piece of technology, making an advanced degree an essential asset for a successful career.
The rapidly expanding field of machine learning has a multitude of applications in diverse areas such as intelligent systems, computer vision, speech recognition, natural language processing, robotics, finance, information retrieval, bioinformatics, healthcare, and weather prediction.
The unique machine learning master’s program develops a thorough understanding of deep learning theory and familiarizes you with the most important paradigms. This allows you to apply or develop the appropriate methods in real-world applications, whether pursuing a career in industry, academia, or research.
The machine learning master's program is available fully online and is a Top 10 Online Graduate Computer Information Technology program by US News and World Report.
Machine Learning Master's Program - Charles V. Schaefer, Jr. School of Engineering and Science
- GRE Required:
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The MS in Electrical and Computer Engineering – Concentration in Artificial Intelligence (AI) is open to students who want to pursue a career in artificial intelligence and professionals who want to further their knowledge and skills. Participants learn the fundamentals of artificial intelligence, machine learning, computer vision, and neural networks with emphasis using hands-on instruction resulting in a final capstone project.
MS in Electrical and Computer Engineering Concentration in Artificial Intelligence
- GRE Required:
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Artificial Intelligence and Machine Learning are important areas of study in Robotics that center on the problems of enabling robots to make coherent decisions based on available data.
In addition to fulfilling the requirements of the robotics masters, the students may elect to take the following courses. Note that this suggested set of courses covers 2 of the 3 required areas so students would only need to take one other course in either the Control or Robot Design category to complete the foundational requirements and achieve the desired level of breadth.
Robotics Master's Specialization Artificial Intelligence and Machine Learning
- GRE Required:
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The Master of Science in Electrical and Computer Engineering - Machine Learning and Data Science program offers students a focused, demanding education in the theories, approaches, and applications of data science, machine learning, signal processing, and information processing.
MS in Electrical and Computer Engineering - Machine Learning and Data Science
- GRE Required:
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The Computer Science Master's Degree - Machine Learning Track advance the knowledge of machine learning methods and applications might consider the Computer Science Master's Degree - Machine Learning Track. Machine learning is a fast developing field with several applications in a wide range of fields, including bioinformatics, fraud detection, intelligent systems, perception, finance, information retrieval, and other fields.
Computer Science Online Master's Degree - Machine Learning
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The Master of Science in Artificial Intelligence (MSAI) provides a comprehensive framework of theory and practice in the emerging field of AI. The program delivers the foundational knowledge needed to explore both key contextual areas and complex technical applications of AI systems.
Curriculum incorporates elements of data science, robotics, and machine learning enabling you to pursue a holistic and interdisciplinary course of study while preparing for a position in AI research, operations, software or hardware development, or doctoral degree in a sector poised for explosive growth.
The MS in Artificial Intelligence program features five core courses Programming Design Paradigms, Algorithms, Foundations of AI, Machine Learning, and Intelligent Interaction that represent the essential knowledge for research and development in Artificial Intelligence. These courses examine the foundational representations and processes used across AI systems, how machine learning can be used to acquire this knowledge and the various ways AI systems interact with people, as well as an understanding of the ethical concerns in developing AI technologies responsibly. The courses are tailored toward technically or mathematically trained students.
MS in Artificial Intelligence
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What kind of scholarships are available for Graduate Programs in Artificial Intelligence and Machine Learning?
We have 144 scholarships awarding up to $1,028,391 for Masters program in for Artificial Intelligence and Machine Learning, targeting diverse candidates and not restricted to state or school-based programs.
Scholarship name | Amount | Credibility |
---|---|---|
ASNT Fellowship Award | $20,000 | High |
Google Lime Scholarship | $5,000 | High |
The Innovator’s Grant | $3,600 | High |
GeneTex Scholarship Program | $2,000 | High |
GMiS STEM Scholarships | $500 | High |
Find scholarships and financial aid for Artificial Intelligence and Machine Learning graduate programs
How to find research and teaching assistantships opportunities for Graduate programs in Artificial Intelligence and Machine Learning?
Schools offer Research and Teaching assistantships for full time graduate students, details of which can be found at respective college websites. We have listed the number of teaching and research opportunities offered at each university. Use our Find me Most affordable Master’s program to view the schools and assistantships opportunities offered.
Are there affordable No GRE Masters programs in Artificial Intelligence and Machine Learning that might accept low GPA?
Post COVID, a good number of schools have waived off the GRE and GMAT score requirements and might accept you even if you have a less than stellar GPA.
26 universities offer online Master's in Artificial Intelligence and Machine Learning. Out of these, 1 universities do not require GRE for the admission to online Masters program. To view all the schools that do not require GRE/GMAT for the online Master's, use Match Me Masters.
How much more expensive or affordable is an on-campus or part time program in Artificial Intelligence and Machine Learning compared to an online masters program?
The cost of the program is not just the tuition. It is the transportation, food lodging etc that can be significant depending on the cities you live and how far you are from the campus. You can definitely save on these costs when doing an online but then you miss the campus experience. An online program in Artificial Intelligence and Machine Learning will always be cheaper? Depends on which universities you are comparing with.
30 accredited universities offer an online Master's program in Artificial Intelligence and Machine Learning. The tuition for an online master's program ranges from $8,020 to $118,850.
How can CollegeHippo help me find the accredited, most affordable online Master's programs in Artificial Intelligence and Machine Learning.
There are 30 accredited universities that offer online Master's degrees in Artificial Intelligence and Machine Learning. CollegeHippo’s team has collected data from all the trusted sources like IPEDS, colleges website, bls.gov for job and salary information. We have verified and added 700+ Masters’ scholarships which you can avail of with an amount ranging from $1000 - $18000. We are the only website that has the online Masters programs data from all the US universities and we do not want to sway your opinion through sponsored listing. If there is no data for a college, then it is either a new program or we missed it out. If you let us know, we will be more than happy to fix the mistake and add to the list.
We have waged a war against the insane high tuition cost.
Our promise is that we will help you find the accredited college for the online Master's at an affordable price tag. Use our Match me with Online Master's program to find the college that fits your needs and is affordable.
How can I compare the Artificial Intelligence and Machine Learning Graduate Programs?
Compare the GRE score requirements, admission details, credit requirements and tuition for the Master's Program, from 57 universities offering Graduate School Programs in Artificial Intelligence and Machine Learning. Compare Graduate School Programs in Artificial Intelligence and Machine Learning
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