Tools & Platforms
Where Can I Study a Master’s in AI?
Whether you’re looking to become the next OpenAI CEO or just to future-proof your career, a Master’s in AI could be a good fit. Discover which business schools offer AI degrees
While fears of widespread job displacement, the spread of misinformation, and the potential loss of human connection exist around the technology, many are embracing the potential of AI, eager to utilize its use cases for the better.
For those who want to get ahead of the curve, studying a Master’s in AI could be a great fit. So, where can you study for a master’s degree in AI? And which leading business schools offer this highly specialized program?
What is a Master’s in AI?
Before we pinpoint exactly where you can study this innovative program, it’s important to establish exactly what defines a Master’s in AI.
Master’s programs in AI are, at their core, designed to develop future leaders who can efficiently navigate AI-powered business environments, equipping them with the skills and knowledge to succeed in an ever-evolving technological world of business.
With AI shaping companies and business culture across the globe, a Master’s in AI is particularly relevant to those looking to launch an international career.
A Master’s in AI is often paired with, or encompasses, business analytics—the application of AI and machine learning to analyze business data, identify patterns, and predict future trends that can then inform business decisions. This combination is designed to provide students with a well-rounded, future-ready skill set that will empower them for the world of business.
Where can I study a Master’s in AI?
Apsley Business School
Program: MSc in Artificial Intelligence
Location: London, UK
The MSc in Artificial Intelligence at Apsley Business School, London, a non-profit business school dedicated to promoting sustainable management, is designed for professionals looking to integrate the latest AI trends into their businesses.
With a focus on the quality of assessed work rather than volume, the programme is extremely flexible, allowing participants to balance their studies alongside work and family commitments. Assessed work includes written assignments, usually around 5,000 words for the two core units, as well as a research dissertation of up to 40,000 words.
Students typically complete the program within nine months, although they can take up to 12 months if needed.
©Apsley Business School – London / Facebook
Arizona State University, WP Carey School of Business
Program: Master of Science in Artificial Intelligence in Business (MS-AIB)
Location: Arizona, United States
The WP Carey School of Business, part of the prestigious Arizona State University, offers a Master of Science in Artificial Intelligence in Business. Incorporating an applied curriculum alongside career coaching, the course aims to prepare students for success in emerging AI roles across a range of industries.
Typically, the program is completed over two semesters, consisting of 30 total credit hours. However, MS-AIB students have the option to extend their studies by taking a third summer semester. This additional semester allows them to choose from five optional tracks in complementary disciplines: Technology Management and Consulting, Financial Technology, Marketing, Accounting, and Supply Chain Management. It is important to note that students who decide to enrol in the optional third semester will face additional costs.
As a STEM degree, the program offers eligible graduates on student visas the opportunity for Optional Practical Training (OPT) extensions for up to 36 months. This is a particularly appealing benefit for international students seeking to gain work experience in the US or launch their careers there.
Dublin Business School (DBS)
Program: MSc in Artificial Intelligence
Location: Dublin, Ireland
Formulated to match the increasing demand for AI experts, the MSc in Artificial Intelligence at Dublin Business School includes a comprehensive curriculum that combines theory with practical skills.
Each semester takes a different focus, allowing students to approach AI from multiple angles. The first semester focuses on foundational concepts and skills, including machine learning, while semester two covers more advanced AI topics such as natural language processing. The final semester culminates in a capstone project—either an applied research project or a dissertation.
The program is delivered via both online and face-to-face learning, offering flexibility for students.
EDHEC Business School
Program: MSc in Data Analytics and Artificial Intelligence
Location: Lille, France
The MSc in Data Analytics and Artificial Intelligence at EDHEC Business School hones the critical thinking skills required to solve real-world data science problems, while also equipping students with core competencies in data science, programming, and AI.
The course is taught in person at the school’s Lille campus, running from September to May. The final term then consists of off-campus practical work experience, such as an internship.
Students are given the option to choose one certificate to complete or take part in a learning expedition. This provides them with the opportunity to broaden their expertise and make the most of their master’s experience.
EU Business School
Program: Master’s in Artificial Intelligence for Business
Location: Barcelona, Spain
The Master’s in Artificial Intelligence for Business at EU Business School gives students the chance to explore various aspects of AI, from data analysis and product development to corporate responsibility in the age of AI.
Located in Barcelona—home to more than 2,100 tech-based startups and some of the world’s largest multinational companies, such as Airbnb—the course offers wide-ranging access to networking and career opportunities.
Upon completing the program, students will also have the chance to earn an additional qualification from London Metropolitan University, providing an opportunity to maximize the value of their degree.
ESMT Berlin
Program: Master’s in Analytics and Artificial Intelligence (MAAI)
Location: Berlin, Germany
Recognizing the growing influence of AI, the Master’s in Analytics and Artificial Intelligence at ESMT Berlin aims to build the next generation of leaders, equipping them with in-demand skills.
This two-year program offers plenty of opportunities for practical experience, including a mandatory global immersion trip that allows students to take advantage of internships in Germany and abroad. Students also have the option to complete a semester abroad at one of the school’s top-ranked partner institutions.
In the second year, students undertake an Analytics Consulting Project (ACP), collaborating directly with companies to solve real, data-focused business problems. Alternatively, they can participate in a research project with an ESMT faculty member.
International students are also offered optional German language classes, helping them integrate into life in Berlin.
Fordham University, Gabelli School of Business
Program: Master’s in Artificial Intelligence in Business
Location: New York, United States
The new STEM-designated Master of Science in Artificial Intelligence in Business at Fordham University’s Gabelli School of Business is built to prepare students for the future world of business.
Alongside a range of innovative electives, the program includes four foundational courses: Artificial Intelligence, Machine Learning for Business, Quantitative Foundations in AI, and Law and Ethics of AI. Students may also choose between two optional tracks: the Finance Industry Track or the Technical Track.
Taught at Fordham’s Lincoln Center Manhattan campus—only minutes from Wall Street—the program offers a dynamic and exciting atmosphere.
As one of Fordham’s newest programs, students also have the unique opportunity to help shape its trajectory and join its very first alumni cohort.
©Fordham University / Facebook
HEC Paris
Program: Master of Science Data Science and AI for Business X-HEC
Location: Paris, France
Taught in collaboration with École Polytechnique, a leading institute for science and technology, the Master of Science in Data Science and AI for Business at HEC Paris seeks to foster the next generation of changemakers.
The two-year program combines mathematics, statistics, and data visualization classes, providing students with a comprehensive skillset to carry with them into the future of business.
Henley Business School
Program: MSc Applied AI for Business
Location: Reading, UK
The MSc in Applied AI for Business at Henley Business School aims to produce graduates who are fully equipped to thrive in all things AI, enabling them to pursue long, prosperous careers in the digital management sector.
The program draws on research from both Henley Business School faculty and the University of Reading’s Department of Computer Science, while also emphasizing real-world applications.
Offer holders can also complete pre-study courses, delivered through a series of short online modules on the FutureLearn platform, developed by Henley faculty.
NEOMA Business School
Program: MSc Artificial Intelligence for Business
Location: Rouen, France
Addressing the growing talent gap for AI professionals, the MSc in Artificial Intelligence for Business at NEOMA Business School aims to develop individuals who can bridge the gap between AI technology and business applications.
Students with a four-year bachelor’s degree or a three-year bachelor’s degree plus one year of professional experience can complete the course in one year. Those with only a three-year bachelor’s degree will follow a two-year pathway.
The program includes an internship and other practical opportunities, enabling students to gain valuable real-world insights. These professional experiences can be undertaken in France or abroad.
Nottingham Trent University, Nottingham Business School
Program: MSc Business Analytics and Artificial Intelligence
Location: Nottingham, UK
Nottingham Business School, part of Nottingham Trent University, offers an MSc in Business Analytics and Artificial Intelligence, where students learn from industry leaders, network globally with peers, and receive personalized career support.
Modules include Prescriptive Analytics and AI, Ethics and Governance of AI Systems, AI Management and Leadership, and Data Management and Database Design.
The program is typically taught over one year, but students may extend it to two years to earn a placement diploma in industrial experience, adding a full year of work experience to their degree.
NYU Stern School of Business
Program: Master of Science in Business Analytics and AI
Location: New York, United States
NYU Stern School of Business offers a Master of Science in Business Analytics and AI, designed to help students deepen their understanding of the role data plays in business decisions and learn how to leverage AI for innovation.
The program follows a part-time, flexible model consisting of six on-site modules, each lasting between two and seven days, allowing students to integrate their studies alongside professional commitments.
Before applying, prospective students are invited to submit a preliminary form to declare their interest and confirm eligibility. This includes providing details on professional experience and uploading a resume.
SKEMA Business School
Program: MSc Artificial Intelligence for Business Transformation
Location: Paris, France
As part of its AI School for Business, SKEMA Business School offers an MSc in Artificial Intelligence for Business Transformation, aiming to prepare professionals who understand AI both technically and strategically.
Half of the program is delivered by ESIEA, a French engineering school, focusing on AI algorithms, computer programming, and IT infrastructure. The other half is taught by SKEMA faculty, with a focus on the management of AI.
The program also includes applied projects in data science and AI, often in collaboration with industry partners such as Microsoft.
©SKEMA Business School / Facebook
S P Jain School of Global Management
Program: Master of Artificial Intelligence in Business
Location: Dubai, UAE or Sydney, Australia
The Master of Artificial Intelligence in Business at S P Jain School of Global Management is taught over two years, covering both AI foundations and business disciplines such as economics and marketing—offering students a balance between technical expertise and business acumen.
Students can choose to study at either the school’s Dubai or Sydney campus, though costs vary. For example, those studying in Dubai must pay an additional $1,500 in visa and healthcare charges on top of tuition fees.
UBI Business School
Program: Master’s in Management of AI and ML
Location: Brussels, Belgium
Produced in collaboration with Microsoft, this program—described by the school as ‘avant-garde’—focuses on AI tools such as generative AI, data modeling, and edge computing.
It is particularly suited to working professionals, offering flexible formats including in-person, hybrid, and virtual learning. This setup mirrors professional environments, making it easier for students to balance work and study.
Thanks to UBI’s partnership with Microsoft, students also gain access to Microsoft certifications and become members of the Microsoft Learning for Educators platform.
Vlerick Business School
Program: Master’s in Business Analytics and AI
Location: Ghent, Belgium
Vlerick Business School offers a Master’s in Business Analytics and AI designed to help students become data-savvy decision-makers.
Through an active learning approach, the program incorporates small-team projects such as a Hackathon, where students collaborate to put their skills into practice.
Students also take part in a study trip to Amsterdam, visiting leading companies such as Google and Capgemini, alongside networking events and guest lectures.
Montpellier Business School (MBS)
Program: MSc Big Data and Artificial Intelligence for Business
Location: Montpellier, France
The MSc in Big Data and Artificial Intelligence for Business at Montpellier Business School explores how data science, big data, and AI can be used to improve decision-making in business.
This program is suited for those aspiring to careers such as data scientists, business intelligence analysts, or database managers. Many graduates successfully secure such roles upon completion.
University of Edinburgh Business School
Program: Master’s in AI for Business
Location: Edinburgh, Scotland
The University of Edinburgh Business School’s Master’s in AI for Business is built to help students understand AI and its potential to drive business transformation.
The first semester covers compulsory courses such as Python Programming and Storytelling with Data. In the second semester, students select two or three optional courses, including Change Management, AI, Imagination and Creativity, and Digital Business: Competing in the Age of Platforms.
The program concludes with a summer dissertation, allowing students to bring together everything they have learned.
University of Rochester, Simon Business School
Program: MS in Artificial Intelligence in Business
Location: New York, United States
The Simon Business School, part of the University of Rochester, offers an MS in Artificial Intelligence in Business, focusing on cutting-edge AI technologies that are reshaping industries worldwide.
Students can complete the program in two semesters without an internship, or in three semesters with the extended internship track, which provides invaluable real-world experience.
Over 90% of Simon Master’s students receive some form of scholarship support, making the program more financially accessible.
©Simon Business School / Facebook
Key takeaways:
⇨ Master’s programs in AI are offered at several leading business schools, including NYU Stern, EDHEC, and HEC Paris.
⇨ Students can pursue a Master’s in AI in various locations around the world, such as the UK, France, Belgium, Sydney, and Dubai.
The global financial markets are currently a crucible of transformative forces, where the relentless march of artificial intelligence (AI) innovation converges with the anticipated easing of monetary policy by the Federal Reserve. This dynamic environment is prompting a significant reallocation of “smart money”—the capital managed by institutional investors, hedge funds, and other financial professionals—as they strategically position themselves for the next phase of economic growth and market performance. While a cautious optimism permeates the landscape, astute investors are keenly eyeing sectors poised to reap the rewards of AI-driven productivity gains and the reduced borrowing costs that lower interest rates promise.
The Dual Engines of Change: AI’s Ascent and the Fed’s Pivot
The investment landscape is characterized by a nuanced blend of short-term prudence and long-term bullish conviction. At the heart of this sentiment lies the undeniable impact of AI, which is no longer merely a speculative concept but a tangible force driving capital expenditures and reshaping business models across industries. Tech giants are pouring billions into AI infrastructure and development, signaling a strategic shift from hype to execution. This massive influx of investment is expected to catalyze innovation and sustainable growth, creating profound ripple effects throughout the economy.
Simultaneously, the widespread expectation of Federal Reserve interest rate cuts—with a high probability of a 25-basis-point reduction by September 2025 and further easing thereafter—is a critical factor influencing smart money flows. Lower interest rates translate to reduced borrowing costs for businesses, particularly for capital-intensive sectors like technology and AI. This easing makes it more affordable to fund research, development, and expansion, thereby enhancing the present value of future earnings for growth-oriented companies. Historically, such environments have favored sectors that can leverage cheaper capital for rapid scaling and innovation. While a deeper, more aggressive cut could signal underlying economic weakness, the prevailing hope is for a “soft landing” that allows for sustained economic expansion, especially beneficial for technology and AI firms.
Winners Emerge as Capital Seeks Growth and Stability
In this bifurcated market, several sectors are emerging as clear favorites for smart money, benefiting from either the direct tailwinds of AI and rate cuts or acting as defensive havens amidst lingering uncertainties.
US Technology continues its reign as a primary beneficiary. Companies at the forefront of AI development and infrastructure are seeing unprecedented investment. Chipmakers like NVIDIA (NASDAQ: NVDA), which designs graphics processing units (GPUs) essential for AI, are experiencing booming demand. Cloud service providers such as Microsoft (NASDAQ: MSFT) Azure, Amazon (NASDAQ: AMZN) Web Services (AWS), and Alphabet (NASDAQ: GOOGL) Cloud are foundational to AI deployment and scalable computing power, making them central to investor strategies. Lower borrowing costs will further fuel their ability to invest in R&D and expand their global data center footprints, driving renewed growth and innovation. The focus here is on “execution-based plays,” where real-world applications and scalable solutions are driving tangible results.
Healthcare is another sector undergoing a significant transformation through AI. From advanced diagnostics and personalized treatment plans to operational efficiencies and drug discovery, AI is revolutionizing patient care. Reduced borrowing costs enable healthcare institutions and pharmaceutical companies to more readily invest in expensive AI systems, accelerating research, improving patient outcomes, and potentially lowering long-term costs. This makes the sector attractive for investors seeking both growth and defensive characteristics, given the inelastic demand for healthcare services.
Utilities are drawing attention as a defensive play, particularly in an environment where inflation concerns and geopolitical uncertainties persist. These companies offer stable cash flows and are generally less sensitive to interest rate fluctuations, making them a relatively safe haven if the Federal Reserve is slower to cut rates or if economic volatility increases. While not directly tied to AI-driven growth, their consistent dividends and regulated revenue streams provide a crucial ballast for diversified portfolios.
Financials are also strategically leveraging AI to enhance customer service, automate trading algorithms, improve risk management, and ensure regulatory compliance. Anticipated rate cuts provide financial institutions with lower-cost capital to invest further in these AI technologies, especially in an environment where real-time data analysis is critical for generating higher returns and maintaining a competitive edge. The operational efficiencies gained through AI are expected to boost profitability, while a stable economic environment spurred by rate cuts could also improve lending volumes.
Beyond these established sectors, Small-Cap Stocks are poised for a potential comeback. These companies, often more reliant on borrowing for growth, are particularly sensitive to interest rate changes. Lower rates translate directly to reduced financing costs, which can significantly improve their profitability and growth prospects. After years of underperformance relative to their larger brethren, a sustained period of rate cuts could unlock substantial upside potential for the Russell 2000 and similar small-cap indices, as their growth narratives become more compelling with cheaper capital.
Industry Impact and Broader Implications
The convergence of AI and anticipated rate cuts is not merely an isolated event but a powerful catalyst reshaping broader industry trends. The pervasive nature of AI means its ripple effects will extend far beyond the technology sector, driving efficiency and innovation across manufacturing, logistics, and even agriculture. Companies that successfully integrate AI into their operations are likely to gain a significant competitive advantage, potentially leading to market share shifts and industry consolidation. For instance, manufacturers adopting AI-powered automation will see optimized processes and reduced waste, while lower interest rates encourage further investment in these advanced technologies.
Regulatory bodies are also keenly observing these developments. As AI becomes more integral to critical infrastructure and decision-making, discussions around data privacy, algorithmic bias, and ethical AI deployment will intensify. Potential policy implications could range from stricter data governance laws to increased oversight of AI-driven financial models, which could introduce new compliance costs for companies. Historically, periods of rapid technological advancement coupled with monetary policy shifts have often led to significant re-evaluations of market leaders and the emergence of entirely new business models, akin to the dot-com boom but with a more fundamental and pervasive technological underpinning.
What Comes Next
Looking ahead, the short-term market trajectory will likely remain influenced by the precise timing and magnitude of the Federal Reserve’s rate cuts, as well as inflation data. Any deviation from the anticipated easing schedule could introduce volatility, particularly for rate-sensitive growth stocks. However, the long-term possibilities are robust, driven by the continued maturation and widespread adoption of AI. Strategic pivots will be crucial for companies across all sectors to adapt to the AI-driven paradigm. This involves not just investing in AI tools but fundamentally reimagining business processes, workforce training, and competitive strategies.
Market opportunities will emerge in areas where AI can address complex problems, from sustainable energy solutions to personalized medicine. Challenges, however, will include managing the immense capital expenditure required for AI infrastructure, navigating ethical considerations, and mitigating the risk of technological disruption for incumbents. Potential scenarios range from a “Goldilocks” soft landing with sustained AI-fueled growth to a more volatile path if inflation proves stickier or rate cuts are delayed, potentially leading to a renewed focus on defensive assets. Investors should closely monitor the earnings reports of key AI players and the Federal Reserve’s communications.
Conclusion
The current financial landscape is a testament to the powerful interplay between technological innovation and monetary policy. Smart money is strategically positioning itself, recognizing AI as a long-term transformative force, amplified by the anticipated easing of monetary policy through Federal Reserve interest rate cuts. Key sectors like US technology, healthcare, utilities, and financials are attracting significant capital, each for distinct reasons ranging from direct AI leverage to defensive stability and rate sensitivity. The potential for small-cap stocks to outperform their larger counterparts underpins an intriguing dimension of this market shift.
For investors, the coming months will demand a watchful eye on inflation trends, the Federal Reserve’s interest rate decisions, and the continued progress of AI development and adoption. The market moving forward will likely reward companies that demonstrate clear strategies for integrating AI, coupled with robust fundamentals. Ultimately, the lasting impact of this period will be defined by how effectively industries harness AI’s potential while navigating the evolving economic currents shaped by central bank policy, setting the stage for a new era of growth and innovation.
Tools & Platforms
State Superintendent champions AI in schools to prepare students for a tech-driven future
OKLAHOMA CITY, OKLA (KOKH) — Artificial Intelligence (AI) programs have been implemented in Oklahoma classrooms.
State Superintendent Ryan Walters said Oklahoma was one of the first states in the nation to integrate AI learning and training programs in schools.
AI is being used in four ways:
- Human-centered approach: AI augments, never replaces, instruction
- Equity and access: All students benefit, regardless of zip code or economic status
- Transparency: Clear communication with parents, teachers, and students
- Safety first: Strong protections for student data and well-being
The goal is to bring cutting-edge technology to schools and provide districts with a framework for safety, transparency, and academic integrity.
“This is about preparing Oklahoma students for the world they’re stepping into,” Walters added. “President Trump has made his directives clear: education must reflect the rapidly changing world, starting with AI. We’re making sure the next generation of Oklahomans doesn’t get left behind.”
For more local news delivered straight to your inbox, sign up for our daily newsletter by clicking here.
usatoday.com wants to ensure the best experience for all of our readers, so we built our site to take advantage of the latest technology, making it faster and easier to use.
Unfortunately, your browser is not supported. Please download one of these browsers for the best experience on usatoday.com
-
Business6 days agoThe Guardian view on Trump and the Fed: independence is no substitute for accountability | Editorial
-
Tools & Platforms3 weeks ago
Building Trust in Military AI Starts with Opening the Black Box – War on the Rocks
-
Ethics & Policy1 month agoSDAIA Supports Saudi Arabia’s Leadership in Shaping Global AI Ethics, Policy, and Research – وكالة الأنباء السعودية
-
Events & Conferences4 months agoJourney to 1000 models: Scaling Instagram’s recommendation system
-
Jobs & Careers2 months agoMumbai-based Perplexity Alternative Has 60k+ Users Without Funding
-
Education2 months agoVEX Robotics launches AI-powered classroom robotics system
-
Funding & Business2 months agoKayak and Expedia race to build AI travel agents that turn social posts into itineraries
-
Podcasts & Talks2 months agoHappy 4th of July! 🎆 Made with Veo 3 in Gemini
-
Podcasts & Talks2 months agoOpenAI 🤝 @teamganassi
-
Education2 months agoMacron says UK and France have duty to tackle illegal migration ‘with humanity, solidarity and firmness’ – UK politics live | Politics