Master of Science (Applied Artificial Intelligence in Health Sciences)
Program Mission:
The mission of the Master of Science (Applied AI in Health Sciences) program is to equip
students with cutting-edge skills in artificial intelligence, machine learning, and data science,
specifically tailored for healthcare applications. The program aims to bridge the gap between
technical AI expertise and healthcare domain knowledge, enabling graduates to drive
innovation in medical research, clinical decision-making, and healthcare delivery.
Career Opportunities:
Graduates of this program can pursue a range of exciting careers at the intersection of AI and
healthcare. They can work as AI/ML Engineers in healthcare tech companies, developing
intelligent systems for disease diagnosis, personalized treatment planning, or predictive
analytics. They can also serve as Data Scientists in hospitals or research institutions, applying
AI to unlock insights from medical data. Other potential roles include Healthcare Consultant
(AI-driven solutions), Clinical Data Analyst, AI Ethics Specialist in healthcare, or Researcher
in AI-driven healthcare innovation. With the growing need for AI expertise in healthcare,
graduates can drive impactful change in this rapidly evolving field.
For the award of Master of Science (Applied AI in Health Sciences) degree, a student must have:
- Passed courses totaling at least 32 credit hours, including core courses.
- Earned CGPA of at least 2.50
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 1 |
||
| 1 | Programming for Digital Health Application | 3+0 |
| 2 | Statistical Methods for Health Data Analysis | 3+0 |
| 3 | Foundations of Health Information Systems | 3+0 |
| 4 | Understanding of Holy Quran – I | 1+0 |
| Total | 10 + 0 | |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 2 |
||
| 1 | AI Applications in Health Sciences | 3+0 |
| 2 | Research Methodology | 3+0 |
| 3 | Health Data Modeling and Predictive Analytics | 3+0 |
| 4 | Understanding of Holy Quran – II | 1+0 |
| Total | 10 + 0 | |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 3 |
||
| 1 | Elective – I | 3+0 |
| 2 | Elective – II | 3+0 |
| 3 | Thesis - I /MS Project - I | 0+3 |
| 4 | Ethics in AI and Health Sciences | 3+0 |
| Total | 9 + 3 | |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 4 |
||
| 1 | Elective - III | 3+0 |
| 2 | Elective - IV | 3+0 |
| 3 | Thesis - II | 0+3 |
| Total | 6 + 3 | |
Note 1: Registration in ‘MS Thesis-I/Project-I/Practicum-I’ shall be allowed provided the student has
- Earned at least 18 credits
- Passed the “Research Methodology” course AND
- CGPA is equal to or more than 2.50
Program Learning Outcomes (PLOs)
- Introduce medical professionals with AI technologies to help make healthcare related decisions.
- Make medical professionals proficient in using AI for enhanced healthcare outcomes.
- Make students with computing or related background familiar with the domain of health sciences.
- Enable the students with computing background to apply their skills to enhance healthcare outcomes.