Objective: Foster partnerships that provide students with exposure to real-world settings and industry best practices.

Metrics:

• Number of active MoUs/partnerships with pharmaceutical companies, hospitals, CROs, regulatory bodies, etc.
• Percentage of students completing internships or industrial training during the course.
• Quality of internship experience based on student and industry feedback (surveys, exit interviews).
• Frequency of industry-led training sessions, guest lectures, and hands-on modules.

Benchmark Use:
Top-tier institutions often have ≥80% of students placed in structured internships before graduation.

Objective: Equip students with cutting-edge knowledge and credentials in high-demand domains.

Key Areas:

• Artificial Intelligence & Machine Learning in Healthcare
• Regulatory Affairs
• Pharmacovigilance & Drug Safety
• Digital Health & Telemedicine
• Data Analytics in Life Sciences

Metrics:

• Number and diversity of certificate programs offered.
• Enrollment and completion rates.
• Programs co-developed or endorsed by industry or global organizations (e.g., WHO, ICH, FDA).
• Alumni employment in fields aligned with these certifications.

Benchmark Use:
Institutions may target at least 30–50% of students obtaining an additional certificate beyond the core curriculum.

Objective: Strengthen non-technical competencies critical for workplace success.

Training Areas:

• Professional communication (verbal, written)
• Teamwork and leadership
• Conflict resolution
• Time and project management
• Cultural sensitivity and ethics

Metrics:

• Number of structured training hours embedded in the curriculum.
• Student performance in soft skills assessment (pre/post training).
• Employer feedback on graduates’ communication and interpersonal abilities.

Benchmark Use:
High-performing programs incorporate at least 20–30 hours of soft skills training annually, often culminating in group projects or simulated interviews.