The industry mantra "the process is the product" is misleading. While process engineering is crucial, its value is entirely dependent on the clinical success of the biopharmaceutical. Without an effective drug, even the most sophisticated, AI-driven manufacturing process has no use case.
A deep industry background is a primary qualification for professorships at Universities of Applied Sciences. Unlike traditional universities that require extensive publication records, these institutions prioritize real-world experience, offering a viable academic career path for senior professionals from industry.
At Universities of Applied Sciences, students often do their thesis work at external companies. For professors, evaluating these diverse, industry-based projects serves as a continuous learning channel, providing direct insight into the latest technologies and research trends without requiring them to run their own research labs.
Universities of Applied Sciences can mitigate the high cost of lab courses by sourcing nearly-expired or used materials from industry partners. Consumables like cell culture media and protein resins, which are no longer viable for regulated projects, are perfectly suitable and valuable for student training.
AI can easily generate high-quality written reports, making them an unreliable measure of student understanding. Oral examinations and project defenses are becoming critical to verify a student's actual comprehension and problem-solving skills, rather than their ability to prompt an AI.
Graduates from Universities of Applied Sciences possess extensive hands-on lab experience due to a curriculum heavily focused on practical courses. Companies find these hires can start contributing immediately, unlike traditional university graduates who may need more time to translate theoretical knowledge into practical lab work.