AI Applications for Health Sciences

• Alignment with job functions and career opportunities: Northeastern's program bridges the gap between theory and practice, emphasizing the practical applications of AI within various professions and industries. Through real-world case studies and industry collaborations, learners develop the knowledge and skills to effectively apply AI technologies in their respective fields, driving tangible results and advancements in industry.
• No programming experience required: Northeastern provides a diverse range of AI education opportunities tailored to learners with varying backgrounds and levels of experience. The Graduate Certificate in AI Applications is designed for learners with little to no programming experience seeking to harness the power of AI within their discipline.
• Real-world application through domain-level specializations: Northeastern prioritizes experiential and practice-based learning to prepare students for successful careers in AI. Through its renowned co-op and externship programs, students gain hands-on experience and exposure to real-world AI applications use cases based in their field of interest
• Credit-bearing pathways to advance your career: The Graduate Certificate in AI Applications is a credit-bearing graduate certificate with seamless on-ramps to various MS degree pathways. Incrementally advance your education with valuable credentials that immediately help you move forward in your career. 
• Expert career guidance and professional networking: Leverage career coaching, resume optimization, career fairs, and networking events offered through Northeastern’s Institute for Experiential AI and Career Design Support resources. 

• Identify AI tools that can improve business or operational practices through applying a human-centered approach.
• Identify potential risks and benefits of using AI. 
• Problem solve for AI-related issues and identify potential solutions.
• Exhibit awareness of known biases in AI systems and propose steps for mitigation and correction.
• Describe the history and fundamentals of AI and explore how AI is already used in everyday life.
• Articulate the current role of AI in the healthcare industry and in drug discovery.
• Evaluate and identify the challenges and limitations of AI in the healthcare industry and in drug discovery.
• Recognize the potential future of AI in the healthcare industry and in drug discovery.
• Demonstrate core concepts about how to use AI to guide clinical and care delivery decisions.
• Describe the ethical and regulatory landscape of AI in the healthcare industry and in drug discovery.
• Discuss the developing legal landscape of using AI from licensure perspective.

In the next five years: 

• 23% of jobs are predicted to change due to AI (Future of Jobs Report, 2023).

• 75% of companies plan to adopt and invest in AI in their operations (Future of Jobs Report, 2023).