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PhD in AI & Machine Learning

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Overview

Embark on a transformative journey with Walsh College’s PhD in Technology, specializing in Artificial Intelligence and Machine Learning. This program prepares you to lead in a rapidly evolving field, combining flexible online coursework with advanced research in areas like natural language processing and deep learning. Graduate as a visionary leader, ready to drive technological advancements in an era shaped by intelligent systems and data-driven insights.

The Doctor of Philosophy in Technology (Tech PhD) is an advanced academic degree designed for those aiming to excel in the technology sector. Graduates will develop the expertise required for leadership roles as technology innovators, consultants, and educators. The program emphasizes significant research, allowing students to explore cutting-edge technology topics and apply their knowledge to solve complex challenges. The part-time structure, tailored for working professionals, offers online coursework and remote delivery through platforms like Zoom, with on-site engagement opportunities for those near the campus.

Key Benefits

Upon completion of the PhD in AI and Machine Learning, students will be able to:
✔The Tech PhD curriculum blends theoretical foundations with practical applications, preparing students to address real-world technological dilemmas.
✔The program spans 60 semester hours, beginning with foundational Research and Methods courses.
✔After completing the core research methodology, candidates take a Preliminary Exam within two semesters. Upon passing, they proceed to the dissertation phase, dedicating 15 hours to original research.
✔Students must pass a Preliminary Exam and complete a 15-hour dissertation focused on advancing leadership practice.
✔The program equips students with the tools and insights to lead with innovation and make impactful contributions to technology and society.

Eligibility

Your Ambition, Our Admission Criteria:

✔Possess a master’s degree with a minimum cumulative GPA of 3.0 or higher from an accredited college or university.
✔Have a minimum of two years of professional work experience.
If you have a genuine passion for marketing and are ready to make a significant impact in this field, UeCampus is here to support you.

Course Structure

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

Core Courses | Credits+
S/N Unit Reference Unit Title Credits
1 DCT 700 Doctoral Studies Seminar 3
2 BTC 701 Organizational Resilience Framework 3
3 BTC 770 Navigating Conflict And Risk For Positive Leadership 3
4 IT 701 Innovation, Risk, And Cybersecurity 3
5 IT 707 Special Research Topics In Technology 3
6 MGT 765 High Performance Leadership 3
7 RES 711 Research Methods: Introduction And Scope 3
8 RES 712 Qualitative And Exploratory Research Methods 3
9 RES 713 Quantitative Research Methods I: Data Management And Non-Experimental 3
10 RES 714 Quantitative Research Methods II: Experimental And Statistical 3
11 DIS 796 Dissertation I - Chapter 1 3
12 DIS 797 Dissertation II - Chapter 2 3
13 DIS 798 Dissertation III - Chapter 3 3
14 DIS 799 Dissertation IV - Chapter 4 3
15 DIS 800 Dissertation V - Chapter 5 3
16 - Introduction To Business Analytics 3
Residency Courses | Credits+
S/N Unit Reference Unit Title Credits
1 RSD 801 Doctoral Residency I 1
2 RSD 802 Doctoral Residency II 1
3 RSD 803 Doctoral Residency III 1
Artificial Intelligence and Machine Learning | Credits+
S/N Unit Reference Unit Title Credits
1 IT 720 Applied Research In Natural Language Processing 3
2 IT 721 Applied Research Topics In Deep Learning Theory & Practical Applications 3
3 IT 722 Advanced Topics In Data Storage & Mining 3
4 IT 723 Advanced Programming For Data Analysis 3

PhD in AI and Machine Learning: Master Tech strategies for global success

 

The PhD in Technology – AI and Machine Learning Specialization at Walsh College empowers professionals to master data-driven decision-making with precision. This transformative program equips leaders with advanced tools, research expertise, and hands-on experience in data analytics and predictive modeling. Graduates will emerge as visionary leaders, ready to harness the power of data to shape strategic decisions in a rapidly evolving, tech-driven world.

 

Online Learning Platform

✔User-Friendly Interface: Navigate course materials, assignments, and resources effortlessly.
✔Access Anytime, Anywhere: Study at your convenience, whether at home, at work, or on the go.
✔Mobile Compatibility: Access courses from any device, including smartphones and tablets.

 

Flexible Payment Options

✔Full Payment: Pay the entire fee upfront for peace of mind.
✔Monthly Installments: Spread the cost over manageable monthly payments.
✔Scholarships: Eligible students can apply for scholarships to reduce the overall cost.

£20,000
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Accessibility: Easily accessible:
Delivery: 100% online
Qualification: Doctorate Degree
Language: English
Course Duration: 3 Years

Fee Payment Plans

 

Investment in Your Future:

Transform your future with our PhD in AI and Machine Learning priced at an unbeatable £20,000. We offer a convenient monthly installment plan to make the payment process easier.

Scholarships are available, offering discounts on the fee and providing flexibility in payment through extended course duration.

Please contact our admissions team for more information on scholarships and payment options.

Program Duration and Enrollment Details and Academic Requirements

The Doctor of Philosophy in Technology (Tech PhD) is an advanced academic degree designed for those aiming to excel in the technology sector. Graduates will develop the expertise required for leadership roles as technology innovators, consultants, and educators. The program emphasizes significant research, allowing students to explore cutting-edge technology topics and apply their knowledge to solve complex challenges. The part-time structure, tailored for working professionals, offers online coursework and remote delivery through platforms like Zoom, with on-site engagement opportunities for those near the campus.

Fee Structure

Total Fee: £20,000

Intake

Fall (Sep-Dec) | Winter (Jan-Mar) | Spring (Apr-Jun)

Duration

3 Years

General Entry Criteria

Our admission criteria are designed to recognize your ambition and potential, not just your academic records. Here’s what you need: ✔Possess a master’s degree with a minimum cumulative GPA of 3.0 or higher from an accredited college or university. ✔Have a minimum of two years of professional work experience. If you have a genuine passion for business and are prepared to take a significant step toward your career growth, UE Campus is here to support you.

Choose Pricing Plan

Yearly plan subscribers can save up to 5% plus FREE Onboarding Support

Full Payment Upfront

£20,000

Total Fee: 20,000.00

    • ✅ Unlimited Access Programs
    • ✅ Certificate After Completion
    • ✅ High Resolution Videos
    • ✅ 24/7 Dedicated Support
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6 Monthly Installments

£555.55 /Monthly

Total Fee: 20,000.00

    • ✅ Unlimited Access Programs
    • ✅ Certificate After Completion
    • ✅ High Resolution Videos
    • ✅ 24/7 Dedicated Support
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Quarterly Installments

£1,666.66/3Month

Total Fee: 20,000.00

    • ✅ Unlimited Access Programs
    • ✅ Certificate After Completion
    • ✅ High Resolution Videos
    • ✅ 24/7 Dedicated Support
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