Doctor of Business Administration in Machine Learning
Take your AI and data-driven skills to the next stage with a Doctor of Business Administration (DBA) in Machine Learning from SSBM Geneva. This globally accepted program is designed for working professionals who want to understand machine learning deeply and use intelligent systems for smarter business decisions, innovation, and long-term digital growth.
- Add “Dr.” to your name and become an expert in machine learning and AI leadership.
- Where intelligent data meets global leadership — DBA in Machine Learning.
- Create real business and technology impact with a DBA in Machine Learning.
Admission Open
Academic Experts will assist you!
Mode
Online
Duration
36 Months
Course Fee
INR 6,00,000
100+ countries
Learner Base
DOCTOR OF BUSINESS ADMINISTRATION SPECIALIZATION
DBA in Machine Learning
The Doctor of Business Administration (DBA) in Machine Learning from SSBM Geneva is a high-level, research focused program created for experienced professionals, data leaders, technology managers, and senior executives who want to improve their understanding of machine learning and AI-driven decision making. This globally recognized online DBA program combines advanced machine learning concepts with real business and technology scenarios, helping learners take confident, ethical, and data-based decisions in competitive global environments.
The program covers important areas such as machine learning models, data analytics, artificial intelligence strategy, predictive systems, automation, and responsible AI practices. Students learn how to solve complex business and technology challenges using practical ML frameworks and research-based insights. With its flexible online learning structure, working professionals can complete their doctoral degree without leaving their job, making it one of the most suitable and career-focused DBA programs in machine learning today.
Programme Curriculum
- Develop strong expertise in machine learning and AI-driven business strategy.
- Improve leadership and decision-making skills for senior technology and management roles.
- Encourage research-based solutions for real-world AI and data challenges.
- Build advanced analytical, technical, and strategic thinking capabilities.
- Promote ethical, responsible, and sustainable use of machine learning technologies.
- Flexible online learning with live classes and recorded sessions.
- Case-based learning using real machine learning and AI business scenarios.
- Research workshops on ML models, data analytics, and AI tools.
- Global exposure through international AI and machine learning case studies.
- Faculty guidance and peer interaction for practical understanding.
- Interactive e-learning modules and digital learning resources.
- Access to AI and machine learning journals, research databases, and e-books.
- Live webinars and sessions led by global AI and ML experts.
- Case studies and simulations for real-time data-driven decision insights.
- Complete research support tools for dissertation work.
- Regular assignments, quizzes, and projects for continuous assessment.
- Mid-term research proposal submission and presentation.
- Industry-oriented machine learning project for hands-on experience.
- Final dissertation based on original research contribution.
- Viva-voce examination to evaluate research knowledge and understanding.
SSBM DBA: Your Pathway to AI & Machine Learning Leadership
Key Program Highlights
100+
Nationalities
5 Star
QS rating
70+
programs
- Flexible Completion: Finish your doctorate in as little as 36 months.
- Globally Recognized Degree: An accredited and internationally accepted doctoral qualification.
- Expert Mentorship: One-to-one support from global faculty members and research supervisors.
- Outcomes: Opportunities to publish research papers, author content, or work on patents.
- Practical Learning: Case studies, simulations, and applied machine learning projects for real exposure.
- Strong focus on AI innovation, data strategy, and machine learning leadership.
- Designed specially for working professionals and senior executives.
ONLINE DBA
Program Overview
The DBA in Machine Learning offered by SSBM Geneva is a globally recognized doctoral program built for professionals who want to lead AI-driven and data-focused organizations. This program helps learners strengthen their AI leadership approach while developing research-based and strategic skills required in today’s technology-driven workplaces.
Through SSBM Geneva’s DBA in Machine Learning, students gain advanced knowledge in machine learning strategy, data-driven systems, predictive analytics, and AI governance. The flexible online format allows learners to continue their professional career while studying, making it easier to manage work and education together. The program prepares candidates to handle complex AI and data challenges in global business environments.
- Duration: 36 months
- Internationally Accredited Doctoral Program
- Globally Recognized Qualification
- Industry-Focused and AI-Driven Curriculum
More Information
Career Support
SSBM Geneva provides complete career support to all enrolled students. This includes personalized resume development, interview preparation, and expert guidance for AI leadership, data strategy, consulting, and executive technology roles. The goal is to help learners move confidently into senior AI, machine learning, and top management positions.
Application Tracking
Applicants are requested to submit their application through the online admission portal. Once submitted, candidates can easily track each stage of the admission process, making the journey smooth and transparent.
Have a question?
Read Our FAQs
It is ideal for working professionals, data leaders, and managers who want to grow into senior AI and ML roles globally.
Yes, the program is fully online with live and recorded sessions, allowing flexible learning with full-time work.
Technical background is helpful but not compulsory, as machine learning concepts are explained in a practical way.
A DBA focuses on real business and AI challenges, while a PhD is more academic and theory-based.
Graduates can move into AI leadership, machine learning strategy, consulting, teaching, research, or executive roles globally.