A Bachelor of Science (BS) in Digital Health and AI is an interdisciplinary undergraduate degree focused on applying computer science, data analytics, and artificial intelligence to the field of healthcare. The program trains students to use digital tools to improve medical diagnostics, streamline healthcare delivery, and enhance patient outcomes.
- 4 Years / Onsite
- Intakes: Fall & Spring
Core curriculum
This degree combines foundational computer science and AI with specialized health courses. The curriculum typically covers the following areas:
- AI and Machine Learning: Students learn how to develop AI algorithms and machine learning models for healthcare applications, such as image analysis for disease detection.
- Data Science and Analytics: Coursework covers the management, processing, and analysis of large medical datasets, including electronic health records (EHRs).
- Digital Health Technologies: The program teaches the application of technologies like mobile health (mHealth) apps, wearable devices, and telehealth systems.
- Medical and Biological Fundamentals: Students gain a basic understanding of medicine, including areas like bioinformatics, anatomy, and physiology, to effectively bridge the gap between technology and clinical needs.
- Ethics and Regulations: The curriculum emphasizes the ethical considerations of using AI in medicine and how to handle sensitive patient data according to privacy regulations.
Career opportunities
Graduates of a BS in Digital Health and AI can pursue careers that combine their technical and medical knowledge. Job roles include:
- Health Data Analyst
- AI Engineer (Healthcare)
- Clinical Informatics Specialist
- Digital Health Consultant
- Telemedicine System Developer
- Medical Imaging Analyst
Scheme of Studies
1st Semester | |
English I | 2 |
Programming Fundamentals | 4 |
Calculus and Analytical Geometry | 3 |
Introduction to Health Informatics | 3 |
Computer Architecture & Operating System | 3 |
Understanding of Holy Quran-I | 1 |
Total | 16 |
| |
2nd Semester | |
English II | 2 |
Electronic Health Records | 3 |
Data Structures and Algorithms | 3 |
Healthcare Systems | 3 |
Statistics and Probability | 3 |
Understanding of Holy Quran-II | 1 |
Total | 15 |
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3rd Semester | |
Foundations of Artificial Intelligence | 3 |
Computer Networks | 3 |
Digital Health Systems | 3 |
Computational Thinking with Python | 3 |
Islamic Studies | 2 |
Civics and Community Engagement | 2 |
Total | 16 |
4th Semester | |
Machine Learning | 3 |
Health Databases & Data Management | 3 |
Medical Imaging and Diagnostics | 3 |
Database Systems | 3 |
Mobile OS & Programming | 3 |
Pakistan: Ideology, Constitution and Society | 2 |
Total | 17 |
5th Semester | |
Deep Learning | 3 |
AI Applications in Healthcare | 3 |
Clinical Decision Support Systems | 3 |
Healthcare Predictive Analytics | 3 |
Generative AI | 3 |
Cloud Computing fundamentals for AI | 3 |
Total | 18 |
6th Semester | |
Health Information Systems | 3 |
Digital Health Entrepreneurship | 3 |
AI Ethics in Healthcare | 3 |
Biomedical Signal Processing | 3 |
Research Methods in Digital Health | 3 |
Total | 15 |
7th Semester | |
Final Year Project I | 3 |
Digital Health Security | 3 |
TeleHealth Remote monitoring | 3 |
Health Data Mining | 3 |
Natural Language processing | 3 |
Total | 15 |
8th Semester | |
Professional Practice and Ethics | 2 |
Artificial Intelligence in Medical Imaging | 3 |
Communication Skills | 3 |
Internship | 3 |
Final Year Project II | 3 |
Total | 14 |
Contact us
Lahore Leads University, DHA Phase V, Kamahan Road, Lahore, Pakistan