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Bachelor of Science in Bioinformatics

Overview

Bioinformatics is an up-and-coming academic subject and research area that combines modern information sciences (informatics, mathematics, and statistics) with the life sciences (biology, chemistry, pharmacy, medicine, biotechnology, and food technology). Bioinformatics deals with questions of informatics that arise with the application of new technologies and a rapidly growing quantity of data in the life sciences.

  • Course Info

    Affilation Kathmandu University (KU)
    Duration 4 Years
    Institute Type College
    Average Fees Incurred NPR 840,000 - 900,000
    Employment Roles

    Bioinformatician

    Computational Biologist 

    Research Analyst in Genomics 

    Pharmaceutical Data Analyst 
    Placement Opportunities

    Biotechnology Companies 

    Research Institutions 

    Pharmaceutical Firms 

    Genomics Labs 

  • Admission Criteria

    Must have taken PCB or PCM in both XI and XII.
    A minimum grade of C in each subject.

  • Salient Features

    Integration of Biology and Computer Science: Comprehensive blend of both disciplines.
    Algorithmic Approach to Biological Data: Using algorithms for effective data analysis.
    Structural Biology Emphasis: Focus on the structural aspects of biological molecules.
    Real-world Data Analysis: Application of bioinformatics tools for practical analysis.
    Hands-On Research Opportunities: Engagement in research projects for practical learning.
    Internship Experience: Practical exposure through internships in bioinformatics labs.

  • Eligibility

    10+2 or equivalent with a focus on science, biology, or related fields.

  • Curricular Structure

    Biological Sciences Foundation: Core courses in Biology, Genetics, and Molecular Biology.
    Computer Science and Programming: Introduction to programming and computer science concepts.
    Bioinformatics Algorithms: Study of algorithms for biological data analysis.
    Structural Bioinformatics: Understanding the structure and function of biological macromolecules.
    Genomic Data Analysis: Interpretation of genomic and molecular data.
    Database Management in Bioinformatics: Handling biological databases.
    Bioinformatics Tools and Software: Practical use of bioinformatics tools.
    Research Projects: Hands-on research projects in bioinformatics.

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