Take your academic and professional expertise to the highest level with the PhD in Technology, specialising in Artificial Intelligence and Machine Learning, offered fully online by Walsh College. This innovative program prepares you to become an industry or academic leader in areas such as NLP, deep learning, and data mining. Through rigorous coursework, original research, and mentorship from expert faculty, you will master the theories and applications driving the AI revolution.

Specialisation: AI & ML

Strengthen your expertise in the most sought-after AI fields:

• Natural Language Processing (NLP): Explore text analytics and speech recognition applications.
• Deep Learning: Delve into neural networks, advanced algorithms, and emerging machine learning paradigms.
• Data Storage & Mining: Master the art of handling large-scale data, identifying trends, and deriving insights.
• Advanced Programming: Enhance your capabilities in building and refining AI and analytics tools.

At our institution, we warmly welcome students from a variety of international education systems. By embracing diverse academic backgrounds, we foster a truly global learning environment where every student can thrive, connect, and achieve their full potential.

General Entry Criteria

To qualify for the PhD in Technology (AI & ML), applicants must have:

• A Master’s degree from an accredited institution (GPA 3.0 or equivalent)
• At least 2 years of professional experience
• A statement of purpose outlining your academic interests
• A CV or professional resume

The programme encompasses a range of units that cover essential aspects of PhD in Organizational Leadership, ensuring students acquire a comprehensive skill set. The units offered are as follows:

Core Courses

• DCT 700 Doctoral Studies Seminar
• RES 711 Research Methods: Introduction And Scope
• RES 712 Qualitative And Exploratory Research Methods
• RES 713 Quantitative Research Methods I: Data Management And Non-Experimental
• RES 714 Quantitative Research Methods II: Experimental And Statistical
• DCT 701 Comprehensive Examination For Doctorate
• DIS 796 Dissertation I – Chapter 1
• DIS 797 Dissertation II – Chapter 2
• DIS 798 Dissertation III – Chapter 3
• DIS 799 Dissertation Iv- Chapter 4
• DIS 800 Dissertation V – Chapter 5

Residency Courses

• RSD 801 Doctoral Residency I
• RSD 802 Doctoral Residency II
• RSD 803 Doctoral Residency III

Artificial Intelligence and Machine Learning

• IT 720 Applied Research In Natural Language Processing
• IT 721 Applied Research Topics In Deep Learning Theory & Practical Applications
• IT 722 Advanced Topics In Data Storage & Mining
• IT 723 Advanced Programming For Data Analysis

We offer transparent and competitive tuition fees designed to make quality education accessible to students from around the world. Our fee structure is crafted to provide value while supporting your academic journey, ensuring you can focus on learning and personal growth without financial uncertainty.                                                                                       

Graduates can pursue impactful roles such as:

• AI Research Scientist
• Chief Data Officer (CDO)
• University Professor or Researcher
• Machine Learning Architect
• Data Strategy Consultant
• Director of Innovation or Technology

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