*The 3-year first-time residency attainment rate is the weighted average of the 2022-23, through 2024-25 academic years. For each year, the rate is the percent of students attaining a residency out of all graduates or expected graduates in the year who were active applicants in the NRMP match in that year or who attained a residency outside the NRMP match in that year. The 1-year first-time residency attainment rate is 95% for 2024-2025 graduates.
AUC and MGH Institute of Health Professions
AUC is pleased to announce the "MAGIC" partnership - MGHIHP-AUC-Gateway for Innovative Careers in Medical Technology. This is a special arrangement between AUC and MGHIHP which provides opportunities to AUC students to gain AI skills.
This collaboration primarily sparked from active interaction between Dr. Gautam Ullal, Professor of Neuroscience and Chair of Basic at AUC and Dr. He Shuhan- emergency medicine physician and program director in AI and machine learning from the Massachusetts General Hospital.
“Students pursuing their MD in AUC can now receive training in cutting-edge, versatile, dynamic use of AI in patient care including clinical note taking, medical diagnostics and management and be in the forefront of medicine and highly sought after physicians in today’s world.”
Dr. Gautam Ullal
Online AI Courses
Through this partnership, high-performing AUC students can enroll in innovative, online courses offered by the Institute and learn artificial intelligence (AI), machine learning, and healthcare data analytics while simultaneously pursuing their MD. This is not a joint degree program.
Career Benefits of AI in Health Care
Roles often offer competitive pay and room for growth with specialized skills.
High Demand & Job Security
- Strong job growth due to increasing data in healthcare
- Consistent demand across hospitals, research, and health tech industries[
Diverse & Lucrative Career Paths
- Roles include Health Informatics Specialist, Clinical Data Analyst, and Population Health Analyst
Educational Options
Students have a range of options: no-cost healthcare data analytics coursework, reduced cost certificate program, or a Master of Science in Healthcare Data Analytics (MSDA) also at a reduced cost.
Eligible AUC students in good standing may apply for admission to MGHIHP through the MAGIC partnership. Interested, qualified students can apply via the student portal.
Complementary Health Care Data Analytics Coursework
Graduate-level, credit-bearing courses delivered online.
AI/Machine Learning (1 course) - Learn how advanced AI and machine learning techniques are transforming healthcare.
Certificate Programs
Structured clusters of 9-15 credits focused on healthcare data science, artificial intelligence, or informatics.
MS in Data Analytics Program
A 36-credit graduate program spread over 1-2 years during med school, residency, and/or fellowship.
"AI, machine learning, and healthcare data analytics are no longer optional competencies—they are essential for delivering high-quality, data-driven care.”
Dr. Shuhan He, Program director and emergency room doctor at Massachusetts General Hospital
MS in Data Analytics Program
A 36-credit graduate program spread over 1-2 years during med school, residency, and/or fellowship.
- Part time (two years) or full time (one year)
- Remote and online, asynchronous
- Finish your MGHIHP MS degree in medical school along with your MD while applying to residencies
Students accepted into the program receive a 20% tuition reduction through MGHIHP’s Tuition Reduction and Incentive Program (TRIP).
MS in Data Analytics Criteria for Enrollment
Students who meet defined admissions criteria (GPA 3.0+, recommendation, relevant coursework) may be considered for admission, subject to final review by MGHIHP’s admissions committee.
- 85% GPA. After completion of 2nd semester.
- Clinical sciences: At least two successful clinical rotations completed.