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Golden Gate University | DBA in Emerging Technologies with Concentration in Generative AI

.12 - 30 yrs.Anywhere

Fee

INR 18,00,000* No taxes applicable

Duration

36 Months

Experience

12 - 30 yrs

Delivery Method

Online

Unlock your potential with GGU’s DBA in Emerging Tech - empowering 600+ leaders across 15 countries with 500+ hours of cutting-edge content.

Course Detail

This is a first-of-its-kind 3-year doctoral programme designed for business leaders who want to dive deep into the intricacies of Gen AI and thrive in the ongoing technological revolution. Imagine leaders emerging with not just the know-how to implement AI but also the strategic vision to set up the right AI strategy, align structures, and address ethical considerations.

This course is meant for industry leaders, CXOs, and high-achieving entrepreneurs who want to be at the forefront of the technological revolution that is rapidly reshaping industries. Businesses that can effectively leverage the technology are likely to gain a significant competitive advantage in the future.

Program Highlights:

  • Highly balanced coursework in technology, business management, and research methods
  • World-renowned faculty with 80+ years of collective teaching experience, 15+ patents, 5 AI and ML products patented, and 125+ published papers in top research journals
  • 3 week-long Global immersions in San Francisco, Singapore (tentative), and Mumbai/Bangalore,
  • Opportunity to become an adjunct faculty member of GGU

  • Achieve one of the three outcomes:

    - Publishing in top research journals

    - Writing and publishing a book based on your thesis findings

    - Patenting a product, service idea

  • Add a Dr. in front of your name with a doctorate awarded by GGU

Learning Path Your DBA Journey

  • Year 1: Build your base
  • Year 2: Begin your research
  • Year 3: Earn your Doctorate

Desired Candidate Profile

Eligibility: Valid Bachelor's degree with minimum 10 years of experience. Candidates with less than 10 years of experience but exceptional pro les and outstanding leadership background may also apply.

Course Modules

Detailed Curriculum:

Year 1: Foundational Phase (28 Credits)

  • Course 1: Foundations of Machine Learning and AI
  • Course 2: Deep Learning & its variants

  • Course 3: Generative AI Using Pre-Trained Models

  • Course 4: AI Project Design and Execution

  • Course 5: Responsible AI

  • Course 6: Doctoral Research Methods and Analysis

  • Course 7: Emerging Digital Technologies

Years 2 And 3: Dissertation Phase (28 Credits)