Harnessing Growth

In Healthcare Industry

Join PGDM - Artificial Intelligence and Data Science

Admissions Open 2025

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Why Choose AI and Data Science in Healthcare as Career?

Growing Healthcare Sector:

The healthcare industry is expanding rapidly, driven by technological advancements and increasing demand for quality healthcare services. This growth creates numerous opportunities for AI and Data Science professionals to innovate and improve healthcare delivery.

Technological Integration:

Healthcare providers and organizations are increasingly integrating AI and data science into their operations to enhance efficiency, accuracy, and patient outcomes. This trend ensures a steady demand for skilled professionals who can manage and leverage these technologies.

High Employability and Competitive Salaries:

The specialized skill set in AI and Data Science is highly valued in the healthcare market, leading to high employability and competitive salaries for graduates.

Government And Policy Support

Central and Stage governments recognize the importance of AI in healthcare and support initiatives that foster innovation and skill development in this field. The ABDM policy framework and NHA are conducive to integrate AI and data science professional in public health system

Term 1 (August to December)

Foundation Courses
Medical Terminology	Mathematics, Probability, and Biostatistics
Human Process Lab	Written and Oral Communication

Core Courses
Health Systems and Hospital Services	Management and Strategy in Healthcare
Programming and Software Development	Professional Communication and Ethics
MIS with Applications in Healthcare

Term 2 (January to June)

Core Courses
Advanced Analytics I for Healthcare	Healthcare Research, Analytics, and Statistics
Ethics, Regulations, and Legal Aspects for AI in Healthcare	Advanced Analytics II and Disruptive Technologies in Healthcare
Designing and User Interface for Healthcare

Industry Internship
12-week industry training at a recognized organization	Project assignment under the guidance of institute and industry mentors
Presentation and comprehensive report submission

Term 3 (September to December)

Core Courses
Digital Health and AI	Technology Product Management
Business Development and Marketing	Advanced AI and Ubiquitous Computing for Healthcare Systems
Health Communication

Electives (Choose Any Two)
AI for Supply Chain Management	AI for Smart and Connected Hospital
AI and Blockchain for Health Insurance

Term 4 (September to December)

Core Courses
AI and Business Analytics in Healthcare	Healthcare Financing and Fintech
Quality Management System and Lean Six Sigma in Healthcare

Final Milestone (April to June)

Dissertation Completion
Selection of research topic and synopsis submission	Mid-term appraisal of progress
Final report/dissertation submission, presentation, and viva	Presentation and viva voce to a panel of faculty members

Educational Qualification

Bachelor's or Master's Degree in any Engineering discipline, Computer Science, Computer Application, Information Technology/Science, Statistics, Mathematics, Commerce, or Economics.
Medical and Allied Graduates such as BDS, BAMS, MBBS, any Post Graduate degree in Allied Health Sciences from recognized university or institute. The candidate must have 10+2 with Mathematics or Computer Science as one of the subjects.

Aptitude Test

Candidates must have appeared for National and State Level Aptitude Tests, including CAT, MAT, KMAT, or similar exams.

Work Experience

Candidates with work experience and Defense personnel are also encouraged to seek admission for career development.

Application Process

Candidates must submit an application form along with the required documents and an application fee of Rs 1000/- (including the admission brochure, form, test, and interview).

Selection Process

The selection process includes an eligibility check based on the submitted application
Shortlisted candidates will be invited to participate in a Group Discussion and Personal Interview.
The final selection will be based on a score of more than 100 marks (50%) out of 200 marks, derived from a matrix of educational background, professional experience, and marks awarded by evaluators from the Group Discussion and Personal Interview.