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Bioinformatics

Bioinformatics discipline involves the application of informatics methods to solve problems in biology. As an interdisciplinary field, it combines techniques from Biology, Mathematics, Computer Science, Engineering, and Statistics. The students at MIT Bioengineering are trained in areas of current industry interest such as Big Data, Hadoop, Cloud Computing, Artificial Intelligence (AI), and Machine Learning (ML), which are then applied to biological and healthcare datasets. They are taught programming languages such as C,Java and scripting languages like Python, Spark, and Scala to enable them to hone their IT skills. Database handling and management techniques, including relational databases and MongoDB (NoSQL), are also included in the curriculum to efficiently manage large-scale biological, genomic, and clinical data. Hands-on training is provided on state-of-the-art modelling software with free as well as proprietary packages such as MOE, VLife Sciences, Discovery Studio, GROMACS, MATLAB Toolbox, R, and Schrödinger to help students work on live projects such as building predictive models in Bioinformatics and Cheminformatics. The curriculum also emphasizes the application of AI and ML in healthcare, including disease diagnosis and prediction, medical image analysis, genomics, proteomics, drug discovery, precision medicine, biomarker discovery, and clinical decision support systems, preparing students to address real-world challenges in biotechnology, pharmaceuticals, and healthcare industries.
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The basic bioinformatics courses include sequence analysis, introduction to fundamental concepts, phylogeny, machine learning methods etc. Advanced bioinformatics courses are imparted to students opting for bioinformatics specialization in later semesters, such as genomics, proteomics, systems biology, protein modelling and drug design. Research fellows at the institute work on projects involving cutting edge research at the global level. Students trained in this field can find jobs in bioinformatics companies, IT companies in life sciences domain as data scientist, information analysts, software engineers, etc. The scope of bioinformatics is vast as it has applications in agriculture, drug design, material design, toxicity testing etc. and consequently the industry players in this field.

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