Golden Gate University · Doctorate · Generative AI
DBA in Emerging Technologies with Concentration in Generative AI
The Doctor of Business Administration in Generative AI from GGU teaches AI, emerging tech, leadership, and decision-making skills to solve real-world business challenges and drive innovation.
Duration
27 Months
Programme Fee
INR 14,00,000 (without immersion) · INR 18,00,000 (with immersion)
Reserve Seat
INR 44,999
Admission Deadline
31 Jul 2026
Credential
Your Dual-Institute Certificate
Same Doctorate As On Campus: receive the same world-class education and global recognition as on-campus doctorates without needing to relocate. Nationally Accredited US Degree: since 1959, GGU has been accredited by the prestigious WASC Senior College and University Commission, recognized by the US Department of Education. Shorter Time to Completion: an innovative curriculum design, inspired by global standards, helps you earn your Doctorate faster.
Certificate of Completion
DBA in Emerging Technologies with Concentration in Generative AI
Golden Gate University
Global recognition
Accreditation & Global Recognition
Independently recognised by leading accreditation bodies worldwide.
Association of Indian Universities
GGU is associated with membership in AIU, registered under the Societies Registration Act, 1860, that enables universities to collaborate & discuss common academic matters.
WASC
GGU is accredited by the WASC Senior College and University Commission (WSCUC), which also accredits top universities ensuring high educational standards.
WES Accreditation
WES Accreditation is one of the most widely accepted and respected forms of recognition for a degree.
AACSB International Member
AACSB is renowned as one of the oldest standard-setting bodies for business education worldwide.
Golden Gate University
Golden Gate University has been helping working professionals advance their careers for over 120 years.
Why this programme
Key Highlights
What sets this dual-school executive programme apart.
Release your Doctoral dissertation as a book
Teach in UGC-recognised colleges in your free time
Prototype and pilot your ideas with no-code platforms
Protect your ideas with solid IPs in 155 countries
Pitch your ideas to real VCs with chequebooks
PwC Certification — optional add-on offering
500 hours of live learning across two global AI immersions — Singapore and San Francisco
Faculty with 75+ patents and 300+ publications; learn alongside students from 15+ countries
Who is this for
Designed For Rising & Established Leaders
Strategic, AI-ready, board-facing capabilities to accelerate enterprise impact.
Unstoppable Leaders
Those who go deeper to climb higher, and never stop creating business impact. A doctorate signals deep domain expertise and elevates leadership stature.
Learning path
5 Steps to Becoming an AI-First CTO
From deep-tech mastery to boardroom-ready leadership.
What you will learn
Programme Curriculum
Master the intersection of technology, AI, and business strategy.
- Data-driven strategy through statistical modeling and regression
- Business applications of classification and segmentation models
- Rule-based pattern mining for strategic insight
- Enhancing competitive edge through ensemble techniques
- Platform-based implementation, data visualization and storytelling
Deliverable · A comprehensive introduction to core AI/ML concepts for strategic business applications, from regression to ensemble models, classification, clustering and rule mining, plus data-driven decision-making with visualization, storytelling and no-code AI tools.
Program Architects
GGU DBA in Emerging Technologies — Program Architects
The professors who designed the curriculum.
Dr. Dakshinamurthy V Kolluru
Professor of Practice · Program Architect
Golden Gate University
B.E. from NIT Trichy, and M.S. and Ph.D. from Carnegie Mellon University, with over 20 years of experience. Specialised areas include ML, Optimization, Artificial Neural Networks, Deep Learning, Text Mining, Mathematical Algorithms, and Pattern Extraction.
Faculty
GGU DBA in Emerging Technologies — Faculty
The faculty who deliver the curriculum.
Dr. Manish Gupta
Faculty
Golden Gate University
PhD from Univ of Illinois at Urbana-Champaign, MTech from IIT Bombay, BE from Mumbai University. 13+ years of experience in Deep Learning, Machine Learning, NLP, Web Mining, Information Retrieval, and Data Mining.
Ready to take the next step?
Download the full brochure or apply to reserve your seat.
Getting started
How to Apply
A Bachelor's degree with a minimum of 55% marks and 10 years of full-time work experience after graduation. If below 55%, a Master's degree (55%+ marks) or an equivalent two-year Post Graduate Diploma with equivalency verification (AIU, WES, ICAS, etc.), plus 10 years of full-time work experience, is required.
Complete Application
Fill in details of your education and work experience, and submit your Statement of Purpose.
Application Review
The admission panel reviews the SOP and candidate profile to assess fitment.
Receive the Offer Letter
Shortlisted candidates are sent the Offer Letter.
Deep dive
How the GGU DBA in Generative AI Is Different from a Traditional PhD
Built for practitioners, not just academics
The GGU DBA is designed for experienced professionals aiming to apply research to solve real-world business challenges and drive organisational innovation, while a PhD is more suited to those seeking to expand theoretical knowledge within academia — completed in as little as 27 months versus up to 5+ years for a traditional PhD.
A Silicon Valley doctorate recognised worldwide
Golden Gate University, established 1901 in San Francisco, has helped working professionals advance their careers for over 120 years, with a portfolio of more than 60 degrees and certificates. It is accredited by WASC Senior College and University Commission (WSCUC) since 1959, recognised by AACSB and WES, and is a member of the Association of Indian Universities (AIU).
Who should pursue this programme
Senior managers, entrepreneurs, and executives with a background in management, analytics, or technology who want to deepen their expertise and specialise in generative AI-driven leadership.
What sets this programme apart
500 hours of live learning, two global immersions in Singapore and San Francisco, faculty with 75+ patents and 300+ publications, industry tools (SPSS, R, Tableau, SmartPLS, Generative AI platforms), and a 27-month completion timeline.
Common questions
Frequently Asked Questions
Everything you need to know before applying.
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