With the increased use of artificial intelligence in our daily lives and the heavy adoption of AI across industries, the demand for skilled AI professionals has also skyrocketed. Today, AI is used for a variety of applications in areas like healthcare, retail, manufacturing, finance, entertainment, etc. According to McKinsey and Company, around 80% of organizations are expected to adopt AI by 2027. So, this is the perfect time to invest in yourself and learn the latest AI skills and knowledge to boost your AI career.
In this article, let us have a look at some of the most popular and top 5 master’s programs in artificial intelligence that you can consider doing around the globe for a rewarding career.
Top Master’s Program in Artificial Intelligence
1. Master of Science in AI: Carnegie Mellon University
This program has been consistently ranked at the top of AI programs. Carnegie Mellon University is popular for its rich history and excellent faculty in the field. And its M.Sc. The AI program is the latest addition to their master’s courses that offers their students a specialization in AI covering topics like machine learning, robotics, computer vision, natural language processing, etc.
As per CMU’s graduate employability report 2023, around 93% of their computer science graduates received job offers within 6 months of their graduation (Carnegie Mellon University – School of Computer Science). This staggering number indicates its popularity and its focus on practical skills.
2. Master of Science in Computer Science: University of Toronto
The University of Toronto offers this M.Sc. in computer science that focuses on providing a strong theoretical foundation in AI along with an emphasis on practical applications of AI skills across various domains. In this program, students get a wide range of elective courses that they can customize according to their interests within AI, for example, computer vision or natural language processing.
Another study by McKinsey Global Institute has also highlighted that AI technology can contribute up to $15.7 trillion to the global economy by 2030. So, earning a reputed AI degree from the University of Toronto can be highly beneficial to boost your AI career in this growing economy.
3. Master of Science in Computer Science with Specialization in AI: MIT
The Massachusetts Institute of Technology (MIT) needs no introduction to the world of technological innovations and their M.Sc. CS program with a specialization in AI is also similar. This master’s program explores in depth the core concepts of AI including deep learning, probabilistic modeling, reinforcement learning, etc. MIT boasts several renowned faculty and AI experts who conduct cutting-edge research and help students access an unmatched opportunity to lead AI development in the world. Computer Science graduates from MIT get a median salary of $180,000 as reported by the MIT Office of Career Services. This highlights the value of an MIT degree in the international job market.
MIT also offers artificial intelligence certification programs for students who cannot commit to a full-time master’s program or who want a less expensive alternative.
4. Master of Science in Artificial Intelligence: National University of Singapore
The National University of Singapore (NUS) is located in the heart of Asia and offers a distinctive Master’s program in AI. This program mainly focuses on core AI skills like machine learning, natural language processing, robotics, computer vision, etc. It also consists of an ethics module that helps students understand the ethical considerations of AI development.
Singapore is also considered as the hub for innovation and technology and therefore, the NUS offers a great opportunity to gain AI education at the forefront of the Asian world of AI.
5. Master of Science in Engineering with Specialization in AI: University of California, Berkeley
Located at the heart of Silicon Valley, the University of California Berkeley offers this M.Sc. Engineering in AI is a unique blend of computer science and specialization in AI and Machine Learning. This program places greater emphasis on the practical applications of AI concepts that help students to understand and solve real-world problems using AI. According to a study by the Center on Education and the Workforce at Georgetown University, AI jobs are projected to grow by 33% by 2030, much higher than other technical jobs. So, enrolling in this program can be a distinguishing factor for your AI career.
USAII’s Artificial Intelligence Certifications
The above full-time university programs in artificial intelligence are a great way to learn in-depth theory of what AI is, and how it works. However, these master’s programs can be time-consuming and expensive. Therefore, artificial intelligence certifications are better alternatives to a master’s program.
USAII® is a premium institute that offers artificial intelligence certifications from students in K-12 to decision-makers and transformation leaders working in C-Level roles. Their foundational to advanced certification courses in AI are vetted by top industry leaders and SMEs and recognized in over 150 countries.
All its programs are self-paced and available online facilitating learning at own place and time. Moreover, they have flexible payment plans to ensure financial constraints doesn’t come in learning path.
Conclusion
These are some of the top master’s programs in artificial intelligence. However, they can be a time-consuming and costly option to learn the fundamentals of AI. Therefore, consider enrolling in top AI certification programs. AI certifications are not as expensive as the master’s program in artificial intelligence. Also, AI certifications are available online in full-time or part-time schedules. So, you can learn the basic to advanced concepts of AI at your own pace without disturbing your normal schedule. Not only that, AI certifications update their course curriculum regularly, so it ensures you learn the latest and most advanced AI technologies. But ultimately, it should be your decision as a master’s program can provide in-depth learning of AI.
