This Course Structure is Curated as per the NEP-2020 Guidelines
Course Overview
The B.Sc. AI in Public Health program at Malla Reddy Vishwavidyapeeth, Hyderabad, is an interdisciplinary undergraduate course designed to equip students with the skills and knowledge necessary to leverage artificial intelligence (AI) in the fields of public health and finance. This program focuses on the integration of AI technologies, data science, and financial analytics to address key challenges in health management, policy-making, and economic decision-making.
This program focuses on equipping students with the theoretical knowledge and hands-on skills from 1st semester itself. The curriculum combines advanced AI techniques such as machine learning, predictive modeling, and big data analytics with an understanding of public health systems, financial modeling, risk assessment, and policy analysis. Students will learn to use AI-driven tools for data analysis in public health surveillance, health policy evaluation, and financial risk management. Practical training in AI-based healthcare solutions and financial technology applications ensures students can develop and implement data-driven strategies for improving both public health outcomes and financial decision-making.
Graduates of this program emerge as Skilled Professionals, ready to work in healthcare organizations, financial institutions, public policy agencies, and tech-driven enterprises. By bridging the gap between AI, public health, and finance, this program provides a dynamic career pathway for students eager to contribute to the future of healthcare and financial services. Enabling them to pursue further higher studies & do research in AI – Public Health along with plenty of job opportunities globally.

Course Details
Description: 4 Years Degree Program
No. of Credits: 160 minimum and as specified
- Eligibility
- Curriculum Structure
- Program Outcomes
- Career Enhancement
- Higher Studies
- Job Roles & Progression
A pass in 10 + 2 with Physics, Chemistry, and Biology/Mathematics as main subjects from a recognized board (CBSE, ISC, or equivalent).
Semester | Name of the Subject |
Semester 1 | Introduction to AI & Machine Learning, Fundamentals of Public Health, Principles of Finance, English & Communication Skills, Computer Foundations, Human Values & Ethics, Practical: Introduction to AI Tools |
Semester 2 | Data Analytics in Public Health, Introduction to Financial Systems, Algorithms and Data Structures, Healthcare Economics, Practical: Basic Public Health Data Analysis |
Semester 3 | Epidemiology and Biostatistics, AI in Healthcare, Introduction to Investment and Risk Management, Healthcare Systems & Policies, Practical: Data Modeling in Public Health |
Semester 4 | AI for Disease Prediction and Management, Financial Modeling and Forecasting, Introduction to Healthcare Informatics, Healthcare Financing, Practical: Financial Planning for Healthcare Systems |
Semester 5 | Predictive Analytics in Public Health, Machine Learning in Financial Markets, Advanced Health Data Management, Health Policy and Regulation, Practical: AI Algorithms in Healthcare and Finance |
Semester 6 | AI for Public Health Decision Making, Advanced Financial Analytics, Data Security and Privacy in Health & Finance, Public Health Program Evaluation, Practical: Applying AI in Financial Analysis and Healthcare Systems |
Semester 7 | AI in Epidemiology and Disease Prevention, AI for Healthcare Resource Optimization, Risk Management in Finance and Healthcare, Internship: Applying AI Solutions in Public Health and Finance |
Semester 8 | Capstone Project in AI Applications, Thesis/Research Project |
- AI-Based Public Health Analytics: Proficiency in using artificial intelligence for monitoring disease outbreaks, healthcare resource allocation, and predictive modeling in public health.
- Financial Modeling and Risk Analysis: Skills in applying AI to financial systems for health sector budgeting, fraud detection, and risk management.
- Data Visualization and Interpretation: Expertise in creating and interpreting AI-driven visualizations for actionable insights in public health and financial planning.
- Machine Learning in Health Systems: Knowledge of implementing machine learning algorithms to optimize healthcare delivery and policy development.
- Ethics in AI Applications: Understanding ethical considerations and privacy issues in AI implementation for public health and financial systems.
- Decision Support Systems: Training in developing AI-driven decision-making tools to support policymakers in healthcare and finance.
- Certification in AI for Epidemiology: Specialized training in using AI for tracking and predicting health trends.
- Advanced Financial Analytics Certification: Focused on applying AI to optimize healthcare financing and budget planning.
- Machine Learning in Public Health Certification: Training in designing machine learning models for health systems improvement.
- Data Ethics and AI Governance Certification: Emphasis on responsible AI practices in healthcare and financial domains.
- AI-Driven Health Policy Fellowship: Focused on leveraging AI to draft and evaluate public health policies.
- M.Sc. in AI and Public Health: Advanced studies on AI applications in improving healthcare delivery and outcomes.
- Ph.D. in Artificial Intelligence for Health Systems: Research in developing AI innovations tailored to global and regional health needs.
- MBA in Healthcare Finance and Analytics: Combining AI knowledge with financial management for leadership roles in health finance.
- Postgraduate Diploma in Health Data Science: Specialized program focused on AI-driven health analytics and data interpretation.
Duration | Roles and Responsibilities | Salary Range |
0-3 years | AI Public Health Analyst, Healthcare Finance Assistant, Data Scientist | ₹5,00,000 – ₹7,00,000 per annum |
3-5 years | Senior AI Analyst, Health Data Consultant, Financial Analytics Specialist | ₹7,00,000 – ₹10,00,000 per annum |
5-10 years | Health Systems Manager, AI Policy Advisor, Financial Technology Lead | ₹10,00,000 – ₹18,00,000 per annum |
10+ years | Director of AI in Public Health, Chief Data Scientist, Global Finance Strategist | ₹18,00,000+ per annum |

Fee Structure Per Academic Year
Tuition Fee | Miscellaneous Fee | Scholarship | ||
125000 ₹ | 10000 ₹ | Above 90% – 25000 ₹ | Between 80-90% – 12500 ₹ | Between 70-80% – 6250 ₹ |
