Programs
MBA PRO AI and Data Analytics
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MBA PRO AI and Data Analytics
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The MBA PRO in AI and Data Analytics is a two-year postgraduate management program offered by S-VYASA Deemed-to-be University. This course enables students to master AI, decode data, and drive business decisions with engineering precision.
Unlike conventional MBA programs, our curriculum goes beyond basic coding and data analysis—it is designed to engineer the entire decision-making pipeline, from data ingestion to insight generation and intelligent action. Offered at the Global City Campus under the School of Management & Commerce, students develop a Decision Engineering mindset, building critical thinking from first principles and learning how to transform ideas into deployable, data-driven solutions.
The program features SAS-powered full-stack skills in data modeling, risk analytics, and visualization, combined with hands-on training in scalable, cloud-native platforms. With a strong emphasis on ethical and impactful AI, students explore responsible AI practices, embedded storytelling, and business ethics—preparing them to lead with insight, integrity, and innovation in today's data-driven world.
Eligibility
- Passed Bachelor Degree of minimum 3 years duration.
- Obtained at least 50% marks (45% marks in case of candidates belonging to reserved category) in the qualifying examination.
Program Highlights
Comprehensive Curriculum:
A robust theoretical foundation in data science and decision engineering, reinforced with practical, hands-on training.
Career-Focused Certifications:
Graduate with recognized certifications from leading organizations to enhance your portfolio and global employability.
Decision Engineering Mindset:
Develop critical thinking from first principles and learn to design deployable, data-driven business solutions.
End-to-End Technology Stack:
Progress from fundamentals to advanced topics, mastering the tools and techniques that power today’s AI and analytics systems.
SAS-Powered Full-Stack Skills:
Gain mastery in data modeling, risk analytics, and data visualization using industry-leading SAS technology.
Real Projects, Real Results:
Work on real-world projects that solve practical business challenges and demonstrate your job readiness.
Cloud-Native Learning:
Hands-on experience with scalable, cloud-based tools used in modern enterprise environments.
Ethical & Impactful AI:
Learn responsible AI practices, embedded storytelling, and business ethics for ethical leadership in tech.
Career Outcome
Data Analyst:
Transform raw data into actionable insights using statistical tools and visualizations to drive smarter decisions and optimize organizational performance.
Machine Learning Engineer:
Design and deploy scalable machine learning models that power predictions, automate processes, and enhance system intelligence across industries.
NLP Specialist:
Develop intelligent systems that understand and interpret human language to enable chatbots, sentiment analysis, and real-time language translation.
Decision Intelligence Consultant:
Combine business acumen with advanced analytics to guide strategic choices through predictive modeling, scenario planning, and insight-driven recommendations.
Business Analyst:
Bridge the gap between business needs and technical solutions by analyzing processes, gathering requirements, and recommending data-backed improvements.
Risk Analyst:
Evaluate financial, operational, and technological risks by analyzing trends, running simulations, and developing mitigation strategies to ensure business resilience.
Forecasting Strategist:
Leverage statistical models and market data to predict trends, helping businesses plan effectively, manage inventory, and stay ahead of market shifts.
Credit AI Architect:
Design AI-driven systems that assess creditworthiness, prevent fraud, and automate lending decisions with speed, fairness, and data precision.
AI Product Manager:
Lead the development of AI-powered products by aligning teams around user needs, business goals, and responsible innovation.
AI Strategist:
Shape an organization’s AI vision by identifying use cases, evaluating ROI, and integrating AI solutions that enhance performance, innovation, and competitive advantage.
SVYASA’s MBA PRO in Artificial Intelligence and Data Science builds thinkers who design, deploy, and lead intelligent systems that drive decisions.
From data pipelines to dashboards, from cloud to compliance — this is India’s only MBA engineered for AI-native leadership.
FAQ's
MBA PRO in AI and Data Analytics is a two-year postgraduate management programme that combines business management with artificial intelligence, data analytics, decision engineering, and emerging technologies. The programme is designed to help students use data and AI to solve complex business problems and make informed strategic decisions.
Unlike a conventional MBA, the programme integrates management education with advanced AI, analytics, data modelling, risk analytics, visualisation, and cloud-native technologies. Students develop a Decision Engineering mindset, enabling them to move from identifying business problems to designing and implementing data-driven solutions.
Candidates who have completed a bachelor's degree of at least three years' duration with a minimum of 50% marks are eligible to apply. Candidates belonging to reserved categories require a minimum of 45% marks in the qualifying examination, subject to applicable admission requirements.
A specific technical or programming background is not required for admission. The programme is structured to build knowledge progressively, combining management concepts with data, AI, analytics, and technology skills. Students develop the technical and analytical capabilities required to work with modern AI and data-driven business systems.
SAS-powered learning forms an integral part of the programme, providing students with hands-on exposure to areas such as data modelling, risk analytics, and data visualisation. Students also have opportunities to develop industry-relevant skills and earn recognised certifications that can strengthen their professional profiles.
The programme emphasises hands-on learning through real-world projects, practical applications, data analytics tools, cloud-native platforms, and business problem-solving. Students learn to work across the decision-making pipeline, from data ingestion and modelling to insight generation, visualisation, and intelligent action.
Graduates can explore diverse roles such as Data Analyst, Business Analyst, Decision Intelligence Consultant, Risk Analyst, AI Product Manager, AI Strategist, Machine Learning Engineer, NLP Specialist, Forecasting Strategist, and Credit AI Architect. The programme prepares students for opportunities across technology, finance, consulting, analytics, risk management, and other data-driven industries.
