Get a Master’s In AI In One Year

Overview

• Computer Science MS (AI/ML Specialization)
• Time to complete: 6 months
• Estimated total tuition: $4,385
• Format: Online
• Best for: Self-paced study for fastest possible completion

Program Summary

Western Governors University is the standout pick if you’re already an AI professional and want to certify your knowledge as quickly as possible. The online Computer Science Master’s program with an Artificial Intelligence and Machine Learning specialization lets you go entirely at your own pace, so you aren’t constrained by any institutional timetable. You can even take the exams whenever you’re ready for them. But there’s a limited support structure, so you’ll need to be ready for lots of self-disciplined study.

Finishing within half a year is extremely ambitious (WGU says that 67% of students finish within 19 months). However, completing the program in a single 6-month term is anecdotally possible. Reddit users who have finished quickly generally describe having a lot of prior academic/industry experience, and the ability to commit to full-time study. You’ll have to get through 10 courses in total: 9 from the Computer Science curriculum, plus a Governance, Risk and Compliance course. On the AI/ML specialization, 5 of the CS courses have an AI focus.

At $4,385 per term, WGU is an industry leader on cost even if you take longer than 6 months. You could take 2 years to finish and still only pay $17,540, versus a rough AI Master’s average cost of $45,000-$55,000. And the cost of the program includes an embedded AWS Certified Machine Learning Engineer – Associate certification.

Overview

• MEng in AI for Product Innovation
• Time to complete: 12 months
• Estimated total tuition: $82,064
• Format: Campus
• Best for: Hands-on practice, graduate outcomes

Program Summary

Duke University’s MEng in AI for Product Innovation is an excellent industry-focused AI program. Unlike some similarly-positioned programs, it goes into real technical depth: you’ll take a total of 8 technical courses, supplemented by 2 business courses. You’ll cover ground like Deep Learning Applications, MLOps, and Sourcing Data for Analytics, alongside some business fundamentals.

All of your learning at Duke will be through an applied, practical lens. You’ll be expected to complete a two-part capstone practicum, where you’ll be working on a project for an industry sponsor, designing and building a real-world AI product from start to finish. You can choose to swap out the second part of the capstone for an industry internship during your concluding Summer semester.

The MEng program is technically available online as well, but the online route is designed for part-time study, so the campus route is the only way to finish in 12 months. The high cost of tuition is a drawback, but Duke justifies it with proven graduate outcomes. The Class of 2025 achieved a 96% placement rate, with an average starting salary of $124,562 for recent graduates.

Overview

• Master of Artificial Intelligence and Machine Learning
• Time to complete: 9 months
• Estimated total tuition: $84,004
• Format: Campus
• Best for: Intensive industry prep

Program Summary

UC Berkeley is an incredible name for your resume for anything STEM-related, and you can earn the Master’s in AI/ML in just 9 months. You’ll cover most of the technical content in an intense Fall semester, before taking 3 electives and an AI ethics course in the Spring.

Before the start of your second semester, you’ll also take part in a unique 2-day “Silicon Valley immersion.” You’ll have the chance to visit leading tech and VC firms and see how they are using AI in practice, while getting the opportunity to ask questions and network.

Berkeley’s MAIML is a brand-new program, which inevitably means you need to proceed with some level of caution. But the school’s AI domain expertise is extremely well-established, and the curriculum borrows courses from well-established programs like Data Science and Computer Science. So the high tuition cost is likely to be more than justified.

Overview

• Master of Science in Business Technology and Artificial Intelligence
• Time to complete: 10 months
• Estimated total tuition: $55,600 (resident), $59,700 (non-resident)
• Format: Campus
• Best for: Graduate outcomes

Program Summary

Not only is the University of Texas at Austin a top-30 school nationwide according to US News, it’s also in the top 10 for Computer Science. So the 10-month Business Technology and Artificial Intelligence Master’s program provides a fast route to a degree that will be well respected by employers. The proof lies in the graduate outcomes: an average starting salary of $110,360 for the Class of 2025, roughly twice the total tuition cost.

The program is offered by the McCombs School of Business, but you’ll also take courses with the Cockrell School of Engineering. Core “AI Foundations” classes include Mathematical Foundations of AI, Fundamentals of Neural Networks and Machine Learning, and Business Problem Solving with Unstructured Data and Generative AI. Once you’ve got through core classes in a short Summer session plus the Fall semester, you’ll use the Spring to take electives.

It’s also worth at least noting the separate dedicated online 10-course MSAI program at UT Austin, which represents incredible value at just $10,000. However, although you’re technically allowed to take up to 5 courses per semester on the MSAI, the FAQs confirm the program can only be completed over 18-36 months.

Overview

• MEng (Artificial Intelligence Concentration)
• Time to complete: 12 months
• Estimated total tuition: $52,920
• Format: Campus
• Best for: Academic quality

Program Summary

The UCLA MEng technically offers AI as a concentration rather than a standalone Master’s, but the curriculum is just as AI-focused as many dedicated programs. If you select AI as your core technology concentration, AI courses will make up 20 out of your 36 units. You’ll also be able to apply your AI skills in a concentration-specific capstone project, worth another 4 units. The one downside of the format is that concentrations are shown on a separate certificate, not the main diploma, so employers won’t immediately see your AI credentials at a glance.

Interestingly, there’s a separate concentration available for AI in medicine, so you can explore that field in depth if you know your career goals are in healthcare. But only around 125 students are admitted each year across all 8 of the available concentrations, making this one of the more selective AI Master’s programs. The minimum GPA requirement is 3.0, but the average among admitted students is more like 3.7.

However, if you can get into the program, tuition of $52,920 compares favorably with a lot of similarly prestigious institutions. UCLA is ranked in the top 20 universities worldwide by Times Higher Education.

Overview

• MEng Computer Science
• Time to complete: 9 months
• Estimated total tuition: $73,946
• Format: Campus
• Best for: Course flexibility

Program Summary

Cornell’s MEng in Computer Science is a highly customizable program, which is why it warrants inclusion on an AI Master’s list. You have freedom to pursue a really wide range of topics: you’ll have to take at least 15 credits of graduate courses with CS codes (which include a number of AI options), plus another 9-12 credits of any additional technical courses, subject to advisor approval. But no specific courses are mandated.

The final 3-6 credits come from a Master of Engineering project, the one part of the program that is truly set in stone for everybody. The project involves developing a software or hardware application useful in solving an engineering problem, so there’s plenty of room to introduce AI elements.

As well as the 9-month Ithaca program, there’s a year-long program in New York City. It’s offered through Cornell Tech rather than Cornell Bowers (the Computer Science school), but you’ll graduate with the same final degree. Based on Cornell Tech’s figures, 94% of graduates are employed within 9 months of graduation, earning a median salary of $140,000.

Overview

• MS in AI
• Time to complete: 8.5 months
• Estimated total tuition: $73,024
• Format: Campus
• Best for: Technical AI depth

Program Summary

Boston doesn’t explicitly market its Master’s in AI program as an accelerated option. But its 2-semester sample program of study could see you finish in around 8.5 months, based on 2026/27 semester dates. Taking the 2-semester route over the 3-semester route requires an intense course load: you’ll take 4 courses each semester, including required core courses in Artificial Intelligence, Machine Learning, Image and Video Computing, and Natural Language Processing. A thesis is not required, but you can choose to do one.

The program is geared toward students who already have a Computer Science or AI Bachelor’s degree, although you may be admitted with a different background if your academic record is strong. However, the 2-semester pathway will likely be extremely tough to keep up with if you’re learning a lot of the CS concepts from scratch. But if you’re looking to formalize and deepen your existing AI knowledge at a well-respected institution, Boston is a top pick.

One potential downside is the cost. The short time to completion does not translate into especially cheap tuition, given the above-average per-semester rate of $36,512 (full time). If you’re unable to keep up with the 2-semester pathway, your total tuition costs could end up rising above $90,000, even with a part-time final semester course load.

Overview

• Electrical & Computer Engineering: ML & Signal Processing
• Time to complete: 12 months
• Estimated total tuition: $36,000
• Format: Campus
• Best for: Machine learning focus

Program Summary

The University of Wisconsin–Madison ECE Master’s program is excellent when it comes specifically to machine learning, the subfield of artificial intelligence that uses data and algorithms to enable computers to “learn” and find patterns. You’ll learn to write your own ML algorithms, with a focus on practical application to real-world problems.

Electives will take you deep into ML techniques: Matrix Methods in Machine Learning, Probability and Information Theory in Machine Learning, and Artificial Neural Networks, for example. You’ll also need to take at least one Signal Processing course, examining how machines can convert a variety of inputs into usable data for analysis. Certain courses that are common on more general AI degrees, like Natural Language Processing or Generative AI, are not on the syllabus.

UW-Madison was named as one of 10 “New Ivies 2026” by Forbes. AI readiness was considered among the criteria, with Madison set to add 50 new AI faculty positions by 2030. 51 members of faculty have already been published on AI/ML topics in the past 5 years, so you can count on a good level of subject expertise.

Overview

• MEng in Artificial Intelligence and Machine Learning
• Time to complete: 12 months
• Estimated total tuition: $32,256
• Format: Online
• Best for: Asynchronous course content

Program Summary

The University of Illinois Chicago offers a 9-course MEng in Artificial Intelligence and Machine Learning. The program is divided into 6 AI/ML foundations courses (NLP, Machine Learning, Neural Networks, etc.), and 3 Engineering Leadership courses. Unusually, there’s neither a thesis nor a concluding project, although each course involves elements of hands-on practice. For example, Innovation Tools and Methods involves a semester-long project. One previous project involved an AI health tracker, which the developing group later went on to pitch to industry investors.

The UIC program is fully online, and also asynchronous, which means you aren’t tied to any particular class schedule. That makes it a suitable program for working professionals. Getting a Master’s degree in 1 year while also working full-time is a major undertaking, but the flexible format makes it feasible.

The slightly untraditional structure also allows UIC to be highly competitive on price. Excluding programs with special resident rates, Illinois Chicago has one of the 10 lowest tuition costs among 1-year AI Master’s programs.

Overview

• Master of Science in Artificial Intelligence in Business
• Time to complete: 9 months
• Estimated total tuition: $41,000 (resident), $65,000 (non-resident)
• Format: Campus
• Best for: Integrated AI/Business curriculum

Program Summary

Arizona State’s Master of Science in Artificial Intelligence in Business has a good program structure when it comes to enabling a fast graduation. You have the option of finishing in just 2 semesters, but you can also choose to extend to a 16-month program if you want to, going from 30 to 43 credit hours and adding a Summer internship. You can also choose between daytime and evening classes, which is useful for working professionals.

The ASU curriculum does a good job of genuinely blending AI and business, rather than just offering discrete courses in each. You’ll take courses like AI in Business, AI and Data Analytics Strategy, and Business Processes and Systems. There’s also a semester-long capstone project where you’ll be learning to manage and deploy AI solutions in real business scenarios.

You can earn the MS-AIB online. However, the online format is not designed to be finished in under a year. You’ll also soon be able to take the program at Arizona State’s Los Angeles campus, with applications open from September 2027. Unlike those in the online program, students in LA will get the accelerated 9-month experience.

Overview

• MEng in Artificial Intelligence
• Time to complete: 12 months
• Estimated total tuition: $19,860 (resident), $37,470 (non-resident)
• Format: Campus
• Best for: For-credit internship

Program Summary

The University of Cincinnati MEng in Artificial Intelligence is technically a 12-month program, but you’ll have finished your classes after 2 semesters. The final months consist of either a culminating project or an industry internship in the so-called “Silicon Heartland.”

Before you reach that point, you’ll work through a curriculum that is both AI-focused and shaped by industry partners. The program aims to get you “job-ready,” and does so through a strong focus on core AI topics. There are required courses in AI, Deep Learning, and Intelligent Systems, plus electives like ML Techniques for Engineers, Generative AI, and Mathematical Logic. You’ll also need to take at least one Project/Task Management course.

For Ohio residents, the UC program is hard to ignore for pure value. A well-constructed Master’s program for less than $20,000, with a potential industry internship for good measure, is an excellent overall package. If you’re out-of-state, the surcharge brings the program into competition with other schools that enjoy bigger overall academic reputations, but it’s still a very viable option. And if you’re from Indiana or Kentucky, you may be able to access in-state rates due to reciprocity agreements.

Overview

• MS in AI and Machine Learning
• Time to complete: 12 months
• Estimated total tuition: $37,500
• Format: Online
• Best for: Stackable credentials

Program Summary

George Washington University offers an MS in AI and Machine Learning made up of 10 fixed courses (no electives). What you sacrifice in choice, you make up for in an enforced breadth of AI knowledge, covering everything from Secure & Trustworthy AI to Autonomous Systems & Robotics. And the courses also overlap with a 6-course graduate certificate in AI Engineering, so you can choose to earn that first before applying all of those courses towards the MS.

GWU offers the MS program on campus as well, but the accelerated 1-year format is only available online. The online format is a mix of live and asynchronous content, so you’ll need to be able to commit to one evening a week between 18:30 and 21:30 ET, while the rest of the work can be done on your own schedule.

The program is competitive on price, and all the more so when you consider that eBooks and relevant software are included. US News ranks GWU as a top-60 school nationally, so you’re getting solid academic prestige for your investment.

Overview

• MS in Applied AI (Advanced Standing)
• Time to complete: 10 months
• Estimated total tuition: $9,900
• Format: Online
• Best for: Affordability

Program Summary

It’s important to emphasize from the outset that you can only finish the Eastern University MS in Applied AI within a year if you’re judged to have Advanced Standing. Applicants with a proven background in Calculus 1 and Python programming are allowed to take 10 courses instead of 13, which makes it possible to earn the degree in 10 months. Regular applicants have to take 39 credits, which takes a minimum of 15 months.

However, if you do qualify for Advanced Standing, the Eastern program is well worth your consideration, not least because of its extreme affordability. You pay as you go on a per-credit basis, and if you only have to take 30 credits, you can complete the entire program for under $10,000, including fees. (And if you don’t qualify, there’s an alternative 10-month pathway in AI Business Strategy, which also comes in at $9,900.)

Despite being called “Applied AI,” the Eastern curriculum follows a broadly standard structure. You’ll cover lots of the usual bases, like Natural Language Processing, Foundations of ML Models, and Applied Machine Learning. However, some electives like Introduction to Prompt Engineering are less technical, and the school itself isn’t especially renowned for its AI expertise. Having said that, faculty have genuine industry experience: for example, Assistant Professor Anton Gates has led transformation projects at Boeing and Williams Racing Formula One. If budget is your top concern, it’s a very viable and expedited route to a Master’s degree.

Overview

• MS in AI in Business & Enterprise Integration
• Time to complete: 12 months
• Estimated total tuition: $14,200 (resident), $29,828.70 (non-resident)
• Format: Campus
• Best for: Current trends

Program Summary

The University of South Florida splits its AI in Business Master’s degree into Digital Transformation and Enterprise Integration programs. Digital Transformation is available online, but you’ll need to pick the campus-based Enterprise Integration program if you want to finish within 12 months.

Aimed at recent graduates or early-career professionals, USF’s program stands out for its commitment to keeping up with current trends. For example, the curriculum currently includes content on Model Context Protocols (MCPs), agent-to-agent communication, and low-rank adaptation. All 9 courses are required, and you’ll finish with a practical capstone project.

USF is a top-100 Computer Science school nationally, so it offers a good blend of affordability and academic credentials. Especially for the in-state rate of $14,200, you’re getting an excellent all-round package.

Overview

• MS in Business Analytics and AI
• Time to complete: 9 months
• Estimated total tuition: $63,000
• Format: Campus
• Best for: Business focus

Program Summary

The MS in Business Analytics and AI at Johns Hopkins University could suit you well if you’re aiming to supplement a business education with some AI content, rather than going deep into the weeds of technical AI study. In some ways, the program serves as an alternative to an AI MBA. D.C. is a great setting to prepare for a corporate role, and your final capstone problem will be presented by an industry client.

The program evolved from a Business Analytics and Risk Management MS, and the amount of AI content could consequently be better. There is definitely more of a business focus overall. However, Practical Machine Learning and AI-Driven Sequential Decision Making are both part of the core curriculum, and you can add more AI content through electives.

The option of a 9-month route, which is 30 credits versus the usual 36, also means you can save a reasonable amount on tuition. The program charges per-semester, and so finishing in two semesters reduces the overall cost by $31,500. As a result, JHU compares favorably on price to private peers like Duke and Cornell.