Online Ph.D. in Artificial Intelligent

Online Ph.D. in Artificial Intelligent

As technology advances at a rapid pace, a Ph.D. in Artificial Intelligent program could prepare you to shape the future of IT. More than a pathway to earning the highest credential in your field, a doctorate program offers the chance to take a deep dive into the IT industry’s challenges and opportunities. That could mean gaining deep knowledge of how machine learning solves business problems, using analytics to plan for growing IT needs, responding to evolving cybersecurity threats, and much more.

What is a Doctor in Artificial Intelligent Degree?

A Doctor of Artificial Intelligent (DAI) is a professional doctoral degree that focuses on applying AI research to real-world situations. It is often slightly different from a Ph.D. in Artificial Intelligent program, which seeks to expand the IT field’s existing body of knowledge.

True, problem-solving in the evolving world of technology plays a central role in both programs. However, Ph.D. programs often emphasize creating new theories, solutions, and best practices to inform the AI field. A DAI program, on the other hand, focuses on solving real-life challenges in industries like business or healthcare.

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Dai Vs. Ph.D. in Information Technology

Which program is right for you? At Imperial University for Science & AI, you don’t have to make that choice. Our Ph.D. in Artificial Intelligent program blends the best of both a DAI and a Ph.D. Our practitioner-aimed Ph.D. program blends research with reality-based problem-solving.

In a more general sense, it’s important to recognize that Ph.D. and DAI programs have more similarities than differences. Either a Ph.D. or a DAI could prepare you to conduct research, teach, or help businesses achieve their AI & IT goals.

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What Careers Can You Do With a Ph.D. in Artificial Intelligent?

With a Ph.D. in Artificial Intelligent, you can build on your existing AI knowledge and experience to shape the future of technology. The computer and information technology field is projected to grow 13 percent between 2021 and 2030, opening up more than half a million new roles. In particular, experts in cloud computing, big data, robotics, and cyber security may be in demand. A Ph.D. could help you prepare for new opportunities in these areas.

One growing IT career path is computer and information research scientist, a role projected to see 22 percent more jobs by 2030. Computer scientists conduct research to solve problems in areas like business, science, and healthcare. They make breakthroughs in disciplines such as:

  • Robotics
  • Programming
  • Machine learning
  • Cloud computing
  • Network technology
  • Information security

Earning a Ph.D. may also be critical if you plan to pursue a postsecondary teaching career path. Finally, some doctorate degree holders go on to lead technology initiatives in organizations, serve as business consultants, or even become entrepreneurs.

Ultimately, pursuing your Ph.D. in Artificial Intelligent offers the license to follow your scholarly interests and make discoveries that could potentially change the industry—and the world. While many students have an idea of where they hope the program will take them, it’s also important to stay open to evolving possibilities. What you can achieve may surprise you!

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Is a Ph.D. in Artificial Intelligent Worth It?

Earning a Ph.D. in Artificial Intelligent could be the ultimate leg of your educational journey, preparing you to make vital contributions to the AI field. Some potential benefits of pursuing your Ph.D. at Imperial University for Science & AI include:

  • Expanded career opportunities. When you earn your Ph.D. at Imperial University for Science & AI, you could prepare to advance your career, pursue IT leadership roles, or teach the next generation of IT professionals in an academic setting. Whether you’re interested in diving into big data, optimizing business networks, enhancing security with blockchain technology, robotics, or something else entirely, earning your Ph.D. could propel you to the next level.
  • Salary growth. In 2021, doctorate degree holders earned about $18,205 more in annual median wages than those with a master’s degree. They also earned about $30,680 more than those with a bachelor’s degree. In short, earning your Ph.D. could pay off.
  • Flexible learning. Potentially earn your Ph.D. without leaving your current career. The Ph.D. in Artificial Intelligent degree program at Imperial University for Science & AI can be completed online and on your own schedule. So, you can advance your career goals in a convenient format that fits your life.
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Curriculum and Degree Requirements

The Ph.D. in Artificial Intelligent online degree program from Imperial University for Science & AI is designed to help you take your IT career to new heights. The program is comprised of the following 60 required credit hours which include professional research courses, content specialty courses, and a dissertation. The dissertation is the capstone experience in the Ph.D. program in Artificial Intelligent. A dissertation is a research-based project that may use a wide range of statistical, quantitative, and qualitative methods. However, in the University’s practitioner-focused program, the dissertation is conceived as a reality-based project in which the candidate engages in authentic professional problem-solving to extend best practices in the field. Our fully online curriculum focuses on predictive analytics, enhancing your credentials, and giving you the tools you need to be your company’s IT expert in cybercrime security, big data, robotics, and smart technology. You’ll explore information governance, technology for a global economy, enterprise risk management, data science, big data, and more. You’ll also gain a comprehensive understanding of emerging threats to IT infrastructure and systems, plus identify countermeasures to keep cyberattacks at bay. Our online curriculum is unique because it’s designed for practitioners. You will study the theories, strategies, and tactics necessary to lead in today’s global technology management field. Besides engaging in research with a focus on professional problem-solving, you will learn how to:

  • Information Technology in a Global Economy
  • Information Governance
  • Data Science and Big Data Analytics
  • Machine Learning Paradigms
  • Dialogue and Narrative

Uncertainty Modelling for Intelligent Systems (CDT)The program requires 18 credit hours of core courses like Information Governance, Enterprise Risk Management, and Information Technology in a Global Economy and 18 hours in one of five content specialty areas:

  • Professional Writing and Proposal Development
  • Advanced Research Methods
  • Qualitative Research
  • Applied Data Science (Teaching Unit)
  • Applied Data Science (Interactive Artificial Intelligence CDT)

Responsible AIFinally, you will engage in 24 credit hours of professional research, working toward a dissertation. The dissertation serves as the capstone of your Ph.D. It consists of a reality-based project and gives you the chance to engage in authentic professional problem-solving with the goal of expanding best practices in the AI field.

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Admission Requirements

Imperial University for Science & AI has established qualitative and quantitative requirements for admission of students whose education preparation evidences the potential for high-level performance.

Admission to our University is very competitive as well as selective and we review each application by the same standards.

  • Application and Application fee
  • Submit official transcripts from all applicable colleges/universities attended; must be received directly from the issuing college or university
  • Doctoral degree admission requires a cumulative grade point average of at least 3.0 on a 4.0 scale from the conferred master’s degree as well as in any subsequent graduate study. Admission to a Doctoral degree requires a master’s degree or higher from a US Department of Education-recognized accredited institution, in a field related to the doctoral degree of application
  • Any international coursework completed must have official transcript evaluations completed and submitted to the University by the evaluation firm. Evaluations MUST include GPA for admission.
  • Approved Evaluation Firms are:

    • World Education Services (WES)
    • Educational Credential Evaluators (ECE)
    • International Education Research Foundation (IERF)
    • Educational Perspectives (EP)
    • SpanTran
  • Documentation of language fluency for non-native speakers of English, such as a score report from the Test of English as a Foreign Language (TOEFL), the 8 International English Language Testing System (IELTS), or a report from Duolingo. This requirement is waived for students who have completed bachelor’s or master’s level coursework in the U.S. at an accredited institution.

    The minimum acceptable TOEFL or IELTS scores for admission are:

    • Paper-based TOEFL (PBT) - 550
    • Internet-based TOEFL (IBT) - 79
    • IELTS - 6
    • Duolingo - 100

All admissions materials should be submitted to Graduate Admissions:

All admissions materials should be submitted to:

Imperial University for Science & AI
Graduate & Online Admissions

Phone: +01-9876-5556-7685
Email: admissions@iusa.uk

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