For graduate student Zuo Enpu, AI is not just a subject but a versatile tool that unlocks new possibilities in scientific research. This led him to sign up for the first run of MSc (AI for Science) programme offered by NUS Physics, where he gains practical insights into applying AI for prediction and analysis across scientific fields. “The natural sciences, such as physics and chemistry, are precisely the areas where AI can make a significant impact,” commented Enpu.

Another draw for Enpu was the programme’s diverse outcomes. Its year-long research training component, which brought him into the laboratory to work directly with faculty members, prepares him for the PhD route, while the six-month internship opens doors to the workplace.

The MSc (AI for Science) programme is built on the idea of the “bilingual” scientists—fluent in both scientific rigour and algorithmic reasoning. It reflects how science now advances: discoveries depend as much on making sense of noisy datasets as on testing hypotheses. The curriculum encompasses machine learning and deep learning grounded in applications across various scientific fields. Students trained under this programme will be well-prepared to design and implement cutting-edge AI techniques in academic or industrial research and development.

For more on the MSc (AI in Science) curriculum, click here.