WPI’s master’s in Bioinformatics and Computational Biology (BCB) is designed to develop interdisciplinary scientists with expertise in computer science, informatics, statistics, and life sciences. The program draws equally from biology, computer science, and mathematics, allowing students to gain a broad knowledge base while specializing in one area. Students will work with expert researchers, translating large biological data volumes into meaningful insights to improve healthcare and environmental solutions. The curriculum offers flexible course choices—from virology to environmental challenges, and software design to artificial intelligence—coupled with hands-on projects, research theses, or internships to apply learning practically.
Why this course is highly recommended
This program is ideal if you are interested in the growing field of bioinformatics and computational biology, especially at the intersection of biology, computer science, and mathematics. It offers diverse courses, research opportunities, and access to advanced labs and computer clusters. The interdisciplinary focus prepares students for careers solving biological problems with computational tools, with opportunities to work alongside leading researchers and access cutting-edge facilities.
Students in this program can choose to focus on areas such as bioinformatics, computational genomics, systems biology, high-performance computing, or visualization. The program emphasizes applying advanced techniques like machine learning, big data mining, and visualization to biological problems. Collaborations with faculty lead to research in genetic and infectious diseases, drug development, and ecological studies, providing a comprehensive interdisciplinary experience.
Application fees
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1st year tuition fees
25.10L
Living cost
Students are expected to develop a solid foundation across biology, computer science, and mathematics. The curriculum includes courses that cover topics from virology to environmental challenges, software design, artificial intelligence, and statistical methods. A research-based thesis or an industrial internship is part of the program to synthesize learning and gain practical experience.

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Graduates can pursue careers in biological and biomedical sciences, working to understand genetic and infectious diseases, develop new drugs, or explore biological phenomena. They may work in research settings, healthcare, pharmaceuticals, or environmental organizations utilizing skills in AI, machine learning, data mining, and modeling to solve complex biological challenges.