Doctor of Business Administration in Emerging Technologies with Concentration in Generative AI

Generative AI represents some of the latest technological advancements like Large Language Models, Brain Decoding etc. that have the potential to transform traditional businesses fundamentally.

Become an industry leader and a sought after Gen AI expert who can ride the change that is going to revolutionize industries rapidly. Get global exposure with mandatory immersions in 3 distinct locations with Golden Gate University (GGU).

Starts on 23 December 2024 – 3 Years Duration

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INTRO VIDEO

This program is offered in partnership with upGrad, a global leader in higher online education with 2 million learners across 100 countries worldwide. With the latest technology, pedagogy, industry partners and world-class faculty, upGrad creates immersive online learning experiences for learners globally.

Golden Gate University, San Francisco

Doctor of Business Administration in Emerging Technologies with Concentration in Generative AI

Get the coveted degree of Doctor of Business Administration in Emerging Technologies with Concentration in Generative AI and a ‘Doctor’ title.

  • Become a leading expert in Generative AI
  • Get the same degree that’s awarded on campus to learners
  • Get global exposure through immersion trips and interactions with world-class faculty, industry experts and entrepreneurs

Key Program Highlights


  STUDY MODEL

Online, 1:1 support on your thesis


  ACCREDITATION

WASC and WES accredited


  DURATION 

3 years (compared to 4-5 years for most other doctoral programs)


  ELIGIBILITY

Masters Degree or equivalent, 5+ years of experience. English language proficiency


  FEES

USD 65,800 – You can apply for up to 80% scholarship


  VALUE-ADD

1-week on-campus immersion (optional)

Course Overview

Teaches advanced research and ethics for doctoral-level writing and action research. It covers both quantitative (surveys, experiments, stats) & qualitative (interviews, focus groups, case studies) methods, focusing on improving writing and research skills.

Hands-on AI learning for innovation in various fields, covering fundamentals, ethics, and practical implementation, with a focus on AI-based innovation, patents, and product development.

  • Foundations of Machine Learning and AI
  • Deep Learning and its Variants
  • Generative AI Using Pre-Trained Models
  • AI Project Design and Execution
  • Responsible AI

Allows students to develop a doctoral dissertation research topic, including a comprehensive proposal that outlines the topic’s significance, context, literature review, data, and methodology.

Learners present the initial three chapters of their doctoral dissertation proposal, including introduction, literature review, and research design. Emphasis is on clarity, context, comprehensive literature review, and a defined research approach.

Enables students to complete a doctoral dissertation research project that contributes to their field. After proposal approval, students conduct scholarly research, guided by their mentor, culminating in a well-written dissertation.

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