The one-year, English-language Second-Level Master’s program in AI for Drug Discovery offers a unique interdisciplinary training pathway in which participants acquire cutting-edge skills at the interface of pharmaceutical sciences, computational chemistry, and artificial intelligence. Delivered in blended format (300 hours, plus a 175-hour curricular internship) and worth 60 ECTS, the program equips graduates to apply machine learning, deep-learning and predictive modelling algorithms to real-world drug-discovery pipelines—from target identification to lead optimization. With a curriculum tailored to the rapidly evolving AI-powered biotech domain and a target class size designed for intensive mentorship, this Master will open career opportunities in pharmaceutical and biotech companies, startup ventures, research institutions and consulting roles.

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Master in AI for Drug Discovery – SoftMining

Key information:

• Duration: 1 year (60 ECTS)
• Places: min 10, max 25. Tuition: €3,000 (annual).
• Format: Blended (300 hours of coursework) + curricular internship 175 hours
• Language of instruction: English
• Admission: candidates holding a relevant master’s degree (or equivalent) in the sciences/engineering; other backgrounds evaluated by the Scientific Committee

Career Opportunities
The Master's in AI for Drug Discovery aims to train highly specialized professionals in high-tech and scientifically intensive sectors. Potential career paths include:

• Pharmaceutical and biotech companies: as specialists in the development and application of AI technologies for drug candidate identification and optimization.
• Startups and spin-offs: operating in innovative drug discovery using artificial intelligence and machine learning approaches.
• Public and private research centers: focused on computational drug design.

• Scientific and technical consulting: in drug discovery, particularly in the implementation and management of AI-based platforms.
• Pharmaceutical and biotech laboratories: in leadership roles for managing molecular development and optimization processes using advanced predictive algorithms.

The program also targets professionals already working in the pharmaceutical and biotech sectors who wish to expand or update their expertise in emerging technologies, thereby facilitating career advancement and requalification.