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DBA in Emerging Technologies with Concentration in Gen AI
Built for senior professionals looking for research, rigour, and application to shape the future of AI. The program has 600+ professionals in 15+ countries, with 500+ hours of live cutting-edge content.
Turn decades of expertise into a doctorate
If you’ve built deep knowledge and honed your craft for a decade or more, then you can do wonders with the wisdom you’ve acquired. Now's the time to channel all that knowledge into the masterpiece of your career - your doctoral thesis.
For Unstoppable Leaders
Those who go deeper to climb higher, and never stop creating business impact. A doctorate is a signal to the world that you hold deep domain expertise, thus elevating your leadership stature.
For Managerial Mentors
Masters of their craft, eager to bring industry experience to classrooms. A doctorate gives you both the deep expertise and the credentials to guide the next generation.
For Independent Veterans
Experienced professionals looking to move into independent & entrepreneurial roles. A doctorate can be a powerful credential to influence leaders who consult you for your expertise.
The upGrad Advantage: Outcomes only we assure
Earn a PwC Board Advisory Certification
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
A Silicon Valley Doctorate that’s recognised worldwide
Golden Gate University
Golden Gate University has been helping working professionals advance their careers for over 120 years
WES Accreditation
WES Accreditation is one of the most widely accepted and respected forms of recognition for a degree
AACSB International Member¹
AACSB is renowned as one of the oldest standard setting bodies for business education worldwide
500 hours of live learning
Write a dissertation, publish a book or build a business plan
Learn with students from 15+ countries
Faculty with 75 patents and over 300+ publications
Immerse in 3 global AI hubs: Singapore, Bangalore & San Francisco
Lead in the space of emerging technologies
Golden Gate University (GGU), USA, with its 120-year legacy of academic excellence, offers a transformative Doctor of Business Administration (DBA) program focused on Generative AI and Emerging Technologies. This doctorate, in association with upGrad, stands out as exceptional because of its faculty with over 80 years of cumulative AI/ML teaching expertise.
With access to a global alumni of 68,000 and accredited by the WASC Senior College and University Commission (WSCUC), this DBA in emerging technologies program gives you the option to be a part of 3 global AI immersion hubs:
Designed to equip you with the expertise needed to solve complex challenges, the GGU DBA in Gen AI program has the potential to position you as a leader in the industries of tomorrow.
In today's world, Artificial Intelligence, especially Generative AI, is one of the defining forces shaping the future of industries across sectors. A Doctor of Business Administration (DBA) with a specialization in Generative AI from GGU prepares you for leadership in this evolving landscape, equipping you to drive strategic change, build innovation-led teams, and create lasting impact.
This unique DBA in Emerging Technologies with Concentration in Generative AI, provides strategic business insights with hands-on AI knowledge, helping you stand out in your current role or transition into top-level positions like Chief Innovation Officer, Strategy Head, or VP of Digital Transformation. With the right skills and mindset, you're prepared to lead, adapt, and grow in a world that’s being reshaped by AI.
Get to know the course in-depth by downloading the program syllabus
For over 120 years, Golden Gate University (GGU) has helped working professionals advance their careers. In San Francisco, GGU offers flexible online and hybrid programs, including the Doctor of Business Administration (DBA). With a portfolio of more than 60 degrees and certificates, GGU provides practical, real-world learning from experts in business and management.
The Doctor of Business Administration (DBA) program is designed to elevate your career and establish you as a recognized leader and innovator in the global business landscape. Our unique offerings go beyond traditional academic learning to provide tangible, real-world advantages.
Gain unparalleled readiness for boardroom roles with a first-of-its-kind certification from PwC Academy. This exclusive offering is integrated into the DBA program and provides:
Distinguish yourself by transforming your innovative ideas into protected intellectual property. This exclusive offering provides:
Turn your research into recognized thought leadership and establish academic credibility. This outcome-driven approach includes:
Establish your authority and inspire others by becoming a published e-book author. This unique opportunity offers:
Expand your network and gain invaluable insights by learning alongside an elite group of senior executives. This program offers:
Note: Certain features may have an additional charge
Golden Gate University (GGU), San Francisco, has a legacy of excellence built over 120 years. Renowned for its focus on working professionals, GGU has consistently empowered leaders through innovative programs and world-class education.
Choosing to pursue a program in Generative AI from Golden Gate means aligning yourself with a university that offers unparalleled academic rigor, global recognition, and career-transforming opportunities.
With over a century of experience, GGU is one of the oldest universities in California, catering specifically to working professionals.
Here’s why you should get your DBA from this university:
GGU’s faculty brings over 80 years of combined AI/ML teaching experience, 15+ patents, and 125+ publications. These aren’t ordinary Phd holders and professors — they are pioneers in their fields, blending academic expertise with industry relevance.
You’ll have the opportunity to learn directly from those shaping the future of business and technology.
Whether online or on-campus, GGU’s DBA offers the same globally recognized curriculum and degree. The online format ensures flexibility without compromising quality, while global immersions add value through experiential learning. Your professional experience takes precedence, with no GMAT or GRE requirements.
GGU’s DBA program goes beyond academics. It’s about real-world relevance, offering practical tools and strategies to solve contemporary business challenges.
Whether it’s mastering tools like SPSS, R, and Tableau or creating impactful research through a dissertation guided by world-class mentors, this DBA in emerging technologies program equips you for leadership roles.
Earning a degree in DBA in emerging technologies from GGU opens doors to some of the most coveted roles in business and technology.
Whether you aim to transition into executive leadership, establish yourself as a thought leader, or drive transformative initiatives in your industry, the career outcomes of this program are designed to meet your aspirations.
Note: The above INR values are based on an exchange rate of 1 USD = ₹85.41, as per the latest available data. Please note that exchange rates fluctuate regularly due to market conditions.
Dr. Kolluru has completed his B.E. from NIT Trichy, India, and M.S. and Ph.D. from Carnegie Mellon University, USA, and has over 20 years of experience in various fields.
As a Doctor of Business Administration in Emerging Technologies, his specialised areas include ML, Optimization, Artificial Neural Networks, Deep Learning, Text Mining, Mathematical Algorithms, and Pattern Extraction.
Dr. Venkatesh Sunkad holds a Ph.D. from the University of Colorado, USA, and an M.S. from the University of Texas at Arlington, USA.
He brings over 20 years of experience and has expertise across IoT, Systems Architecture, Network Security, Machine Learning, and IT Strategy, offering advanced knowledge and practical skills in these cutting-edge fields of technology and innovation.
PhD from The University of Texas at El Paso | BE from National Institute of Technology Tiruchirappalli
24+ years of experience
Areas of interest: Statistics and Probability for Data Science, Machine Learning, Data Visualization, Storytelling with Data
PhD from Nirma University, Ahmedabad | MS Data Science from LJMU, UK | MTech from BITS Pilani
26 years of experience
Areas of interest: Machine learning, Natural language Processing, Data Mining, Mathematical modeling, ML for Space weather, Business Analytics
PhD from Univ of Illinois at Urbana-Champaign | MTech from IIT Bombay | BE from Mumbai University
13+ years of experience
Areas of interest: Deep learning, Machine learning, Natural Language Processing, Web Mining, Information Retrieval, and Data Mining
PhD from University of Missouri-Saint Louis | MSc from IIT Madras
23+ years of experience
Areas of Interest: Early Diagnosis of Neurological Disorders and Diseases, Healthcare at Scale - Telemedicine Sustainable Development
PhD from University of Melbourne | MPhil from Birla Institute Of Technology And Science
12+ years of experience
Areas of Expertise: AI in Healthcare
PhD from Goethe University Frankfurt | Masters in Computer Science from The University of Bonn
12 years of experience
Areas of Interest: Application of Deep Learning and Generative Model Research in Fields of Knowledge Discovery, Data Quality Management, Data Compliance and Governance and OCR
PhD from IIIT Bangalore | M.Tech from IIT Roorkee
20 years of experience
Areas of interest: Machine Learning, Deep Learning, Optimization, Trusted AI, Gen AI and Internet of Things
The DBA in generative AI from GGU and PhD are both prestigious doctoral degrees, but their focus, structure, and outcomes cater to different aspirations.
Golden Gate University’s DBA program is specifically designed for experienced professionals aiming to apply research to solve real-world business challenges and drive organizational innovation, while a PhD is more suited for those seeking to expand theoretical knowledge within academia.
Comparison: GGU DBA (via upGrad) vs. Traditional PhD Programs
Aspect | GGU DBA (via upGrad) | Traditional PhD Programs From Other Colleges |
Program Purpose | Focuses on solving practical business problems and driving innovation in industries. | Centers on creating new theories and advancing academic knowledge. |
Target Audience | Experienced professionals aiming for leadership roles or entrepreneurial ventures. | Aspiring academics and researchers seeking careers in universities or think tanks. |
Curriculum Focus | Combines advanced research methods with industry tools (SPSS, R, Tableau) and trends like Generative AI. | Deeply theoretical coursework with less emphasis on industry-relevant applications. |
Curriculum | Industry-relevant curriculum with practical case studies and applied research opportunities. | Research-intensive, theoretical coursework with limited practical exposure. |
Time Commitment |
|
|
Learning Format | Flexible online format with optional global immersions in Mumbai, Singapore, and San Francisco. | Primarily campus-based, with occasional academic conferences or collaborations. |
Career Outcomes | Prepares for C-suite roles (CEO, COO), business consultancy, and leadership in emerging industries. | Primarily equips for academic careers as professors, researchers, or theorists. |
Research Emphasis | Focused on applying research to real-world business challenges and creating actionable solutions. | Emphasizes theory development, aimed at contributing to academic literature. |
Global Exposure | Includes international immersions and interaction with global industry leaders. | Generally limited to academic circles and conferences. |
Your Transformative Journey to the Doctorate Degree
Begin your transformative path to leadership.
Doctoral Research Methods and Analysis
Emerging Digital Technologies
Present and Defend Your Dissertation
Fundamentals of Machine Learning & AI
Deep Learning & Its Variants
Deploying Generative AI Using Pre-trained Models
AI Project Design and Execution
Using AI Ethically & Responsibly
Research Topic Selection
Literature Review
Research Design
Data Collection & Analysis
Draft Dissertation
Achieve your DBA title and make a global impact
GGU DBA in Emerging Technologies Syllabus
These courses provide the foundational knowledge and applied skills necessary to understand, evaluate, and implement emerging technologies in complex business environments.
This course provides a comprehensive introduction to core concepts in artificial intelligence and machine learning, with a focus on strategic business applications. It addresses foundational algorithms, modeling techniques, and data-driven decision frameworks, while examining how these technologies can be leveraged to enhance operational efficiency, drive innovation, and address complex organizational challenges. Emphasis is placed on the role of machine learning in evidence-based management and predictive analytics.
Learn the fundamentals of machine learning, from regression to ensemble models, and uncover patterns through classification, clustering, and rule mining. Master data-driven decision-making with visualization, storytelling, and no-code AI tools.
Topics Covered: 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
Participants engage with the theoretical and applied aspects of deep learning, including the structure and function of neural networks. The course explores various architectures such as convolutional and recurrent models, examining their relevance to business domains such as customer behavior prediction, automation, image and language processing, and product development. Attention is given to evaluating the performance and limitations of deep learning systems within enterprise environments.
Explore cutting-edge deep learning architectures like CNNs, RNNs, and GANs to solve real-world business challenges. Gain hands-on insights into pattern recognition, synthetic data, and advanced sequence modeling for enterprise AI applications.
Topics Covered: Extracting Meaningful Representations with Autoencoders and Embeddings, Visual Intelligence through Convolutional Neural Networks (CNNs), Temporal Pattern Recognition using Recurrent Neural Networks (RNNs), Synthetic Data Generation with Generative Adversarial Networks (GANs), Advanced Language and Sequence Modeling with Seq2Seq Architectures
This course offers a detailed exploration of generative artificial intelligence and its strategic potential across industry sectors. It covers the underlying principles of generative modeling, including transformer architectures, training requirements, and implementation strategies. Participants assess the implications of these technologies for innovation, content generation, process redesign, and organizational intelligence. Case studies and applied exercises support the development of analytical capabilities required for evaluating generative solutions.
Understand the shift to pre-trained generative AI models and their role in content creation, automation, and enterprise innovation. Learn to build, deploy, and govern GenAI and agentic AI systems using LLMs, RAG frameworks, and multimodal tools.
Topics Covered: From In-House to Pre-Trained Models, Large Language Models and Generative Architectures, Building GenAI Applications with RAG, Orchestration Tools, and Agentic AI, Operationalizing GenAI: LLMOps, Ethics, and Compliance, Multimodal GenAI and Research-Driven Innovation
These modules focus on the organizational, ethical, and strategic implications of digital technologies, preparing participants to lead responsible innovation and manage change at scale.
This course addresses the methodological and managerial aspects of initiating and implementing artificial intelligence projects. It includes frameworks for defining project scope, evaluating feasibility, aligning stakeholders, and assessing long-term impact on business functions and society. Participants examine sector-specific use cases, resource constraints, and performance metrics, with particular attention to responsible deployment and organizational readiness for AI integration.
Learn to plan, execute, and scale AI and GenAI projects using structured frameworks and design thinking. Explore real-world use cases, ethical deployment, and strategies for long-term business impact.
Topics Covered: Emerging Technology Landscape and Industry Synergies, Design Thinking and Planning for AI and GenAI Projects, Execution Frameworks, Tools, and Post-Deployment Management, Ethical, Organizational, and Operational Impact of AI Initiatives Project Proposal Development and Real-World Deployment Strategies
The curriculum examines the ethical, legal, and societal dimensions of AI development and deployment. It introduces conceptual and regulatory frameworks concerning fairness, accountability, transparency, and inclusivity. Through case analysis and policy review, the course encourages critical reflection on the risks and responsibilities associated with AI systems. Participants develop competencies to evaluate governance mechanisms and ensure compliance with international norms and evolving standards.
Explore key business topics like AI ethics and explainability, addressing whether AI is an opportunity or a threat. Explore key business topics like AI ethics and explainability, addressing whether AI is an opportunity or a threat.
Topics Covered: Foundations of Responsible and Ethical AI, Bias, Failure Cases, and Algorithmic Accountability, Privacy, Security, and Regulatory Compliance in AI, Explainable AI and Model Transparency Frameworks
This course investigates key technologies that are reshaping the global business landscape, including blockchain, the Internet of Things (IoT), edge computing, and quantum systems. Participants evaluate the strategic potential of these technologies, considering both the opportunities and barriers to adoption. The course fosters an interdisciplinary understanding of how these innovations influence business models, competitive dynamics, and organizational transformation.
Examine transformative technologies like IoT, quantum computing, blockchain, and digital twins shaping the future of business. Learn how to assess, adopt, and apply these innovations to drive strategic growth and operational excellence.
Topics Covered Data Collection and Intelligence with IoT and Cloud Infrastructure, Advanced Computing with HPC, Quantum, and Neuromorphic Systems, Automation and Process Optimization using RPA and AI Integration, Trust, Security, and Transparency through Cybersecurity and Blockchain, Strategic Simulation and Planning with Digital Twin and Immersive Technologies
This component builds doctoral-level research capabilities through a structured approach to qualitative and quantitative methodologies, data analysis, and scholarly communication.
The research component provides doctoral candidates with the methodological tools required for conducting rigorous academic inquiry. The course covers both qualitative and quantitative research methods, focusing on research design, data collection, statistical analysis, and ethical research practices. Participants are trained to formulate research questions, engage critically with literature, interpret complex datasets, and communicate findings to academic and professional audiences. The objective is to ensure research outputs are not only methodologically sound but also relevant to contemporary business and technological challenges.
Develop the research skills needed to design, conduct, and communicate rigorous doctoral-level studies in business and emerging technologies. Gain proficiency in qualitative, quantitative, and mixed methods to address complex, real-world problems with scholarly precision.
Topics Covered: Foundations of Research Design and Methodological Approaches, Quantitative and Qualitative Techniques in Business and Technology Research, Research Methodology for AI and AI Innovation Projects, Ethics, Compliance, and Responsible Research in Digital Contexts, Literature Synthesis, Mixed Methods, and Doctoral Proposal Development
A structured, milestone-driven research journey guided by faculty mentors and industry experts.
Traditional Thesis
Business Plan
Book
Identify relevant, high-impact research opportunities aligned with GenAI or emerging technologies. Present early-stage ideas to receive feedback and validate direction.
Submit a clearly articulated research topic supported by a preliminary literature review, demonstrating relevance, originality, and alignment with current academic and industry discourse.
Defend your proposed research design, methodology, and scope before a review panel. Incorporate insights to refine your approach.
Submit and present your completed dissertation. Demonstrate theoretical contribution, applied relevance, and strategic business impact before a review panel.
Three In-Person Immersions strategically designed to foster deep academic, peer, and industry connections.
Engage directly with faculty, fellow doctoral candidates, and global thought leaders through interactive sessions and workshops.
Learn from senior executives and C-suite leaders who have successfully led AI-driven transformations across diverse industries, bridging theory with practical, high-impact business insights.
The Doctor of Business Administration (DBA) program from Golden Gate University (GGU) is designed to arm you with future-ready skills, enabling you to lead confidently in an era dominated by Generative AI and emerging technologies.
Under the guidance of global AI and ML experts with over 15 patents and 125+ research publications, you will develop the following essential skills:
This DBA in generative AI program integrates industry-leading tools into its curriculum, ensuring you graduate equipped with hands-on expertise to tackle real-world challenges. These tools are carefully chosen to enhance your analytical, research, and decision-making skills, making you future-ready.
Network with peers worldwide with immersions in 3 global hubs
The program features three global immersions in India, Singapore, and San Francisco, providing a unique opportunity to connect with peers, interact with industry leaders, and build your network.
Golden Gate University (GGU) isn’t just a place to earn a doctorate — it’s where ambitions meet opportunities on a global scale. With over 120 years of academic excellence and a focus on empowering working professionals, a DBA in Emerging Technologies from GGU sets the gold standard for education in Generative AI and Emerging Technologies.
This DBA program in Generative AI from Golden Gate is designed for leaders who always aspire to stay ahead. Whether you aim to make strategic business decisions powered by AI, lead global teams, or innovate within your organization, this DBA equips you with the tools, knowledge, and network to transform your career.
The program is crafted by industry stalwarts in association with upGrad, whose expertise spans decades in AI, ML, and emerging technologies.
This DBA in Emerging Technologies with Gen AI reflects the latest developments in its up-to-date curriculum to ensure you’re learning the latest technologies and tools in Generative AI.
This online DBA in emerging technologies program isn’t confined to a screen — it’s a global experience that gives you the option to immerse yourself in not one, not two, but three global immersions.
Each immersion gives you global perspectives, leadership exposure, and meaningful professional connections.
The flexibility of this online DBA in emerging technologies program ensures you can balance work, life, and education seamlessly. But the benefits don’t end at graduation — access to course materials remains available, enabling you to revisit lessons and stay ahead of evolving trends.
Joining GGU connects you to a powerful alumni network of over 68,000 professionals, with 54% in C-suite and senior management roles across companies like Microsoft, Cognizant, Adobe, Amazon, and Google. This network is not just a number — it’s your gateway to collaboration and career-defining opportunities.
Earn a Prestigious DBA Degree from GGU
Same Doctorate As On Campus
Receive the same world-class education and global recognition as on-campus doctorates without the need to relocate.
Nationally Accredited US Degree
Since 1959, GGU has been accredited by the prestigious WASC’s Senior College and University Commission, recognized by the US Department of Education.
Lifetime Alumni Status
Join an alumni network of over 68,000 professionals, with many in key leadership roles spread all over the world.
Build Your Plan-B with A-Listers and C-Suiters
Invest In Your Success
Inclusions
Online DBA programs in generative AI aren't just about convenience — They’re a revolutionary way to achieve world-class education with benefits that go beyond traditional classroom experiences.
Here’s why this mode of learning is the ideal choice for advancing your career.
Online learning enables you to pursue a DBA in generative AI without putting your career or personal life on hold. In fact, studies reveal that 69% of students prefer studying online due to the flexible nature of online programs.
So, whether you’re managing a team, spearheading projects, or simply balancing family time, you can structure your learning schedule around your priorities.
Traditional DBA programs often come with significant costs, including relocation, housing, and commuting. Online DBA programs in generative AI, on the other hand, eliminate these expenses, making high-quality education accessible.
Additionally, a 2024 survey on online vs offline education shows that offline courses are around 66% costlier than online programs.
An online format connects you to world-class faculty and industry experts, often from multiple locations, without the need to relocate. This approach gives you access to thought leaders across continents, ensuring diverse perspectives and insights.
Furthermore, online DBA programs in generative AI by upGrad include opportunities for virtual networking, live sessions, and even optional global immersions.
Interactive online modules, simulations, and multimedia resources lead to significantly higher engagement. Research highlights that online learning retention rates range from 25-60%, compared to 8-10% in traditional classrooms. This is attributed to the ability to revisit lectures and materials at your own pace.
The Doctor of Business Administration in Generative AI online program by upGrad is designed to reflect real-world demands, focusing on practical skills like data analysis, strategic decision-making, and leadership development.
With tools like Tableau, SPSS, and AI platforms integrated into the coursework, you gain hands-on expertise that mirrors the skills needed in modern-day business.
The online learning format brings together professionals from diverse industries and geographies. By joining a DBA in generative AI for business leaders online, you collaborate with peers worldwide, creating an invaluable network of global leaders.
These connections often translate into long-term professional partnerships and opportunities.
One of the biggest advantages of pursuing an online DBA is the ability to continue working while studying. This allows you to directly apply your learning to your current role, positioning you as an immediate value-add to your organization while progressing toward leadership roles.
How To Apply
Unlock your future in 3 easy steps! See how simple our admission process is
Eligibility
Eligibility Criteria: A Bachelor's degree with a minimum of 55% marks and 10 years of full-time work experience after graduation. If the Bachelor's degree score is below 55%, the candidate must have: A Master's degree with at least 55% marks and 10 years of full-time work experience, OR A two-year Post Graduate Diploma (equivalent to a Master’s) with equivalency verification from a recognized body such as AIU, WES, ICAS, etc., and 10 years of full-time work experience. Important Notes: The Bachelor's, Master's, or Post Graduate Diploma must be from a university recognized by an accrediting body such as UGC or an equivalent authority. Work experience will not include trainee, internship, articleship, apprenticeship, freelance, part-time roles, or any experience overlapping with the Bachelor's degree duration.
Complete Application
Fill in details of your education, work-experience and submit your Statement of Purpose
Application Review
Admission panel reviews the SOP and candidate profile to assess fitment
Receive the Offer Letter
Shortlisted candidates are sent the Offer Letter
Reserve your seat
Pay a block amount of Rs. 44,999/- to reserve your seat, pay the balance amount subsequently.
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