Approaches to Regulating Artificial Intelligence: A Primer



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Master Of Science In Artificial Intelligence (AI)

Master of Science in Artificial Intelligence (AI)

Purdue University's online Master's in Artificial Intelligence will mold the next generation of AI experts and engineers to help meet unprecedented industry demand for skilled employees. The interdisciplinary nature of the degree allows students to work with Purdue's well renowned faculty in their fields, and customize the program tailored towards specific areas of artificial intelligence.

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Request Info How to Apply Apply Now Overview Discover if the Masters of Science in Artificial Intelligence is right for you.

Artificial Intelligence is a rapidly growing area within a number of different sectors and jobs. Meet the growing demand for AI experts with Purdue University's online Master's in Artificial Intelligence. Delivered through an online and flexible modality, select from two different majors tailored towards your specific interest. The AI and Machine Learning major focuses on programming, computer science, and mathematics. The AI Management and Policy major focuses on leadership, management, ethics, and policy.

Save Time and Money with Purdue's Graduate Certificate in Artificial Intelligence.

Purdue's Foundation in Artificial Intelligence Graduate Certificate teaches core AI-related competencies in less time than a traditional master's degree. By taking a handful of 100% online courses, you can add a valuable credential to your resume or plan of study and build foundational skills that will help you stay ahead of this revolutionary trend. Credits earned can be applied later toward the completion of the full online master's degree.

  • View Program Website
  • 24 Months to Completion 30 number of credits required $933.33 cost per credit hour (Indiana Resident) $933.33 cost per credit hour (Non-Indiana Resident)

    The cost of attending Purdue varies depending on where you choose to live, enrollment in a specific program or college, food and travel expenses, and other variables. The Office of the Bursar website shows estimated costs for the current aid year for students by semester and academic year. These amounts are used in determining a student's estimated eligibility for financial aid. You can also use our tuition calculator to estimate tuition costs.

    Program Specifics

    Requirements Computer and hands close up. The concept of artificial intelligence and computer technology.

    The admissions process selects highly qualified applicants into the Master of Science in Artificial Intelligence program by considering each of the following criteria in judging the overall strength of the applicant.

    Typically, no single criterion is used as a sole determinant for admission. This program does not require an application fee, so you can apply for free.

    General Requirements:

  • A bachelor's degree from an accredited institution
  • Cumulative GPA of 3.0 or equivalent
  • An applicant's prior education must include the following prerequisites: 

    For the major in AI and Machine Learning:

  • Prior programming experience and coursework (in Python, Data Science, and/or Computer Science)
  • Prior coursework in algorithms, calculus, linear algebra, and probability theory.
  • For the major in AI Management and Policy:

  • At least 24 months of relevant work experience.
  • Other Requirements (if applicable):

    English Proficiency testing is required for international applicants. It will be waived for applicants who have received a baccalaureate degree or graduate or professional degree, within the last 36 months at the time of recommendation for admission, from a school where English is the primary language of instruction in a country/location where English is the native language.

    The GRE or GMAT exam is not required for admission. Applicants who have taken the GRE or GMAT exam may upload their scores into the online application system for consideration.

    Curriculum

    More information on courses and faculty can be found at the program website.

  • View Full Course Descriptions
  • AI and Machine Learning Major

    Required Courses – 10 credits

  • GRAD 50200 – Interdisciplinary AI Fundamentals: Bridging Knowledge (1 credits)
  • SCLA 52200 – Artificial Intelligence Policy, Governance, And Ethics (3 credits)
  • SCLA 52100 – Societal Impacts of Artificial Intelligence (3 credits)
  • GRAD 58900 – Master of Science in Artificial Intelligence Capstone (3 credits) Required Major Courses – 2 credits
  • GRAD 50400 – Advanced AI Fundamentals for Technical Professional (2 credits)
  • Selective Major Courses – 6 credits

  • Selective Major Topic 1: Artificial Intelligence/ML
  • Selective Major Topic 2: Data Mining

    Electives – 9 credits

  • Choose any from the Technical/Professional Electives List Additional Electives – 3 credits
  • Any Graduate Level Course with PUO staff advisor approval
  • AI Management and Policy Major

    Required Courses – 10 credits

  • GRAD 50200 – Interdisciplinary AI Fundamentals: Bridging Knowledge (1 credits)
  • SCLA 52200 – Artificial Intelligence Policy, Governance, And Ethics (3 credit)
  • SCLA 52100 – Societal Impacts of Artificial Intelligence (3 credits)
  • GRAD 58900 – Master of Science in Artificial Intelligence Capstone (3 credits) Required Major Courses – 2 credits
  • GRAD 50300 – AI Essentials: A Non-Technical Introduction (2 credits)
  • Selective Major Courses – 6 credits

  • Selective Major Topic 1: Applications of AI in Business, Non-Profit, Public Sectors  
  • Selective Major Topic 2: Data Management, Analysis, Communication
  • Electives – 9 credits

  • Choose any from the Technical/Professional Electives List Additional Electives – 3 credits
  • Any Graduate Level Course with PUO staff advisor approval
  • Unique Program Features Comprehensive Hands-on Curriculum

    The online Master of Science in Artificial Intelligence program covers a broad range of topics, including machine learning, data analysis, robotics, deep learning, and more. Students will work on real-world projects and collaborate with peers and professors to apply their knowledge to practical AI challenges.

    Flexible Online Learning

    With 100% online courses, students can study at their own pace from anywhere, whether balancing full-time work or other commitments.

    Learn from Leading Experts

    Purdue University's world-class faculty bring cutting-edge research, real-world experience, and leadership in AI to the online classroom. Students will learn from pioneers in the field who are shaping the future of technology.

    Student Success Stories Educator and mom hopes to influence technology ethics in Purdue's online Master of Science in Artificial Intelligence program

    Tamara Grant's journey to becoming a student in Purdue's online Master of Science in Artificial Intelligence (AI) program started at a Walmart in Altamonte Springs, Florida, where she worked second shift as a cashier, saving money and practicing her English so she could go back to school. 

     A hard worker with a passion for justice, Grant knows what it means to take on a challenge. She's overcome many of them in her life. Through Purdue's innovative master's in AI program, she hopes she can help others tackle the challenges of emergent technology with grace, empathy and a critical eye.  

  • Read Full Story
  • Master's Degree Benefits

    For many professionals, earning a master's degree can provide a big return-on-investment. In addition to financial benefits like salary increases and promotions, master's degrees also help professionals learn in-demand skills, which can improve their job prospects, help them pivot to a new industry, or help them stay competitive in a rapidly changing market.

    Many employers value the advanced skills that master's programs teach, and research shows that job candidates with master's degrees have average salary increases from 25% to more than 75% in select fields. Ask your enrollment counselor for details on Purdue's online master's programs or learn more about the benefits of earning a master's here.

    Career Outcomes 45,081 Unique Job Postings 41% projected growth $141k Median Advertised salaries Top Job Titles
  • Software Engineer
  • Data Scientist
  • Machine Learning Engineer
  • Product Manager
  • Business Analyst
  • Top Industries
  • Technology
  • Government
  • Finance
  • Automotive
  • Retail
  • Source: LightcastTM (2023). Unique job postings for July 2022-2023. Projected growth for years 2023-2033.

    Contact Us You are not alone in taking your next giant leap.

    Get your questions answered, receive application help, or plan your degree journey by speaking with an enrollment counselor. Request more information today by filling out this form to connect with a Purdue University enrollment counselor and receive additional program materials.

    Ready to Become a Purdue Boilermaker?

    Are you ready to join the Purdue innovators and changemakers always striving to make giant leaps forward in our industries and fields? Start your application today!

    Apply Now

    How Developers Can Use Quarkus To Make AI-Infused Java Apps

    Java has always been among the top programming languages used by developers worldwide.  In 2020, Oracle mentioned that it was being used by 90% of all Fortune 500 companies. While it may have lost some ground to Python and other modern programming languages, when it comes to popularity, it continues to dominate in terms of the number of developers associated with it. 

    As per the 'State of Developer Ecosystem Report 2024' by JetBrains, 6,223,000 Java developers top the charts, with Python developers coming in second. Similarly, many enterprises likely have Java-powered applications running on their enterprise systems due to its reliability, rich ecosystem, and large community behind it.

    As Java developers look to harness AI capabilities, Quarkus, a modern Java framework, stands out as a powerful tool to facilitate the integration of AI, particularly large language models (LLMs), into their Java applications.

    Daniel Oh, senior principal developer advocate at Red Hat, discussed the technology at the Great International Developer Summit. AIM had an exclusive interaction with Oh to understand its benefits.

    Evolution of AI and the Challenge to Java Developers

    Oh described the journey of AI as a long one, spanning several decades. It started with artificial intelligence (AI), moved to machine learning (ML) and deep learning, which were utilised for tasks such as fraud detection in banking. And then came GenAI, which was capable of producing creative content, including text, code, images, and videos.

    He emphasised that even though OpenAI's models stirred up the GenAI conversation, the journey of AI did not start there.

    This evolution presents a unique challenge for developers, particularly those working with traditional technologies such as Java. For many, the misconception is that integrating AI requires becoming an AI or data expert. However, Oh explains that developers don't need to take on such specialised roles to work with AI. Quarkus, a modern Java framework, simplifies the process significantly.

    Quarkus for AI-Powered Java Applications

    Quarkus, known for its performance and productivity, was designed to help developers build microservices, serverless applications, and AI applications. 

    One of its key strengths is simplifying the development process, allowing developers to focus on writing less code while improving productivity. With Quarkus' integration of tools like LangChain4j, Java developers can communicate with LLMs and other AI models effortlessly. 

    According to Oh, "Quarkus actually integrates LangChain4j as some kind of dependency library or some kind of module in Gradle projects," making it an ideal framework for building AI-powered applications.

    By simply adding dependencies to the Quarkus project, developers can start building AI-infused applications without requiring in-depth knowledge of the AI models themselves. "You can easily create AI services, communicate with any AI models, as long as you have the right access or permission," Oh adds.

    Quarkus' straightforward integration with AI models is similar to how developers use RESTful APIs or gRPC endpoints to integrate databases, messaging brokers, and cloud environments.

    Developers don't need to become AI experts, Oh stressed. 

    Building an AI App With Quarkus 

    To demonstrate the tech, he started with a basic Quarkus project and introduced LangChain4j, a Java-native library inspired by LangChain from the Python ecosystem. 

    By adding this as a dependency, developers gain the ability to define AI services using simple annotations. For instance, Daniel created a chatbot by annotating an interface and defining methods that communicate with OpenAI's API. He configured the model (GPT-4 or GPT-3.5) and parameters in the application properties, making it easy to switch models or tweak performance.

    Oh then demonstrated how Quarkus supports live coding and hot reloading through its dev mode, which enables developers to instantly see the effects of code changes without needing to restart the application. The integrated Dev UI offers a visual interface for interacting with endpoints and AI services.

    Oh also quickly created a new Java application tailored for AI integration using Quarkus project generator at quarkus.Io. He selected AI-specific extensions such as OpenAI for large language model access and EasyRAG for enabling retrieval-augmented generation. He customised the project's metadata, such as the artifact ID, to define the application's identity and structure.

    Once the setup was complete, Daniel generated and downloaded the project as a ZIP file, unzipped it, and opened it in his IntelliJ IDEA IDE. The generated project included a pre-configured structure with sample documents (like PDFs and text files) placed in a designated folder. These were automatically ingested into a vector server.

    He then ran the application using the dev mode, activating Quarkus's live coding mode and Dev UI. This provided him with immediate access to a visual interface, where he could test AI interactions, inspect logs, and view system messages in action—all without needing to restart or redeploy the application.

    Java or No Java?

    "Business leaders are probably just interested in two things. One is cost-saving, and then make more money," Oh told AIM. He explains that if a company has existing Java applications, it should use tools like Quarkus rather than switching to another codebase just because it's the trend.

    He believes that an organisation with Java developers at its disposal can save money if it continues using Java-based tech and adds AI integrations to it.


    Artificial Intelligence: A Bright Career Choice For Aspiring Students

    As AI transforms industries globally, students are presented with unparalleled opportunities in this dynamic field, making it an ideal path for future-ready careers

    The world is changing at an unprecedented pace, and  Artificial Intelligence (AI)is playing a central role in this transformation. For students who have recently completed their 10th or 12th class, AI offers an exciting and rewarding career path filled with global opportunities. As technology advances, AI is becoming an essential part of almost every industry, making it one of the most promising fields for future generations. Artificial Intelligence enables machines to think, learn, and make decisions similar to humans. Today, AI is widely used across various sectors such as healthcare, agriculture, education, banking, defence, and entertainment. From self-driving cars and smart farming to disease detection and personalised online shopping recommendations, AI is revolutionising every aspect of our lives. In the near future, AI will become a fundamental part of every industry, and the demand for skilled AI professionals will be higher than ever. Students who wish to pursue a career in Artificial Intelligence must have completed their 12th class with Mathematics as one of their core subjects. A strong foundation in Mathematics and Statistics is crucial because AI systems rely heavily on data analysis, probability, pattern recognition, and decision-making models. In fact, Statistics form the backbone of Artificial Intelligence. Those who enjoy problem-solving, logical thinking, and working with numbers will find AI a highly suitable and exciting career choice. Additionally, having a basic understanding of programming languages such as Python, R, or Java can provide a great advantage. After passing the 12th class, students in Kashmir have several excellent opportunities to study Artificial Intelligence. The Islamic University of Science and Technology (IUST) Awantipora offers a Bachelor of Science (B.Sc..) programme in Artificial Intelligence, focusing on areas like Machine Learning, Robotics, and Data Science. Similarly, the University of Kashmir provides a five-year Integrated B.Sc.– M.Sc. Course in Artificial Intelligence and Data Science, which prepares students for both undergraduate and postgraduate expertise. Another unique option is the B.Tech Artificial Intelligence program at SKUAST-Kashmir, designed specifically to apply AI in agriculture and related fields like smart farming and crop management. Moreover, the Kashmir College of Engineering and Technology (KCET) also offers a B.Tech course in Artificial Intelligence, preparing students for roles in software development, AI research, and industry applications. Graduating with a degree in Artificial Intelligence opens doors to a wide range of career opportunities. Students can work as Machine Learning Engineers, Data Scientists, AI Research Scientists, Robotics Engineers, or Natural Language Processing (NLP) Specialists. There are also growing opportunities for AI professionals in fields like healthcare, agriculture, education, defense, finance, and more. Other roles include Business Intelligence Developers, Computer Vision Engineers, and even AI Policy and Ethics Advisors. Given the rapid growth of AI in almost every sector, job prospects are excellent, and AI professionals are among the most highly paid experts globally. To succeed in this field, students must work on developing strong skills in Mathematics and Statistics, along with programming abilities. Analytical thinking, creativity, understanding of algorithms, data structures, and experience with machine learning frameworks like TensorFlow or PyTorch are equally important. A spirit of curiosity and continuous learning is vital because the world of AI is constantly evolving with new discoveries and innovations. Artificial Intelligence is not just a career option; it is the future. Students who begin their journey today by building strong skills in mathematics, statistics, and computer programming will be at the forefront of tomorrow's AI-driven world. Choosing AI means choosing a bright, impactful, and future-proof career. Rayees Yaseen [email protected] Related




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