Bachelor Of Science In Bio- Informatics

B.Sc. Bio-Informatics or Bachelor of Science in Bio-informatics is an Under-Graduate Bio-informatics Science course. Bioinformatics is the integration and application of information technology in the biological sciences, especially molecular biology. The Bio-Informatics degree programme combines the study of biochemistry and molecular biology with information technology.

Programme Code
BSB-021
Duration
3 Years
Programme
Graduate Programme
Department
Department of Biotechnology

Your Career Path Begins Here

Affordability

Affordable tuition, financial aid, and scholarships to make your education attainable.

Accreditation

Fully accredited programs ensuring your degree is respected and recognized globally.

School Programs

A wide range of programs in arts, sciences, business, and technology to fit your career goals.

Track Record

Proven success with high employment rates and graduates at top companies worldwide.

ABOUT THE PROGRAMME

The Bachelor of Science in Bio-Informatics degree programme encompasses the study of bioinformatics as a discipline that uses computer science to address an issue connected to life sciences, notably biomedicine. The Bachelor of Science in Bio-Informatics programme lasts three years and is divided into six semesters. Because it is a job-creating education, the Bachelor of Science in Bio-Informatics offers several doors for candidates after graduation.

 

Programme Fee Per Year
₹ 35000
Eligibility Criteria
50% (45% for SC/ST) Marks in 10+2
Admission Procedure

Career Paths

  • Application Support Specialist
  • Bio-Analyst
  • Bioinformatics Trainer / Bioinformatics Programmer & Analyst
  • Clinical Pharmacologist / Computational Chemist
  • Database Design & Maintenance Expert
  • Informatics Developer
  • Pharmacovigilance Associate
  • Research Associate
  • Sequence Analyst

Program Outcomes (PO)

  • Biological Data Analysis
    Ability to analyze biological data such as DNA, RNA, and protein sequences using computational tools.
  • Molecular Biology Understanding
    Develop knowledge of genetics, molecular biology, and cellular processes.
  • Computational Skills
    Apply programming and software tools for biological data processing and analysis.
  • Genomics & Proteomics Knowledge
    Understand genome sequencing and protein structure analysis techniques.
  • Database Management
    Manage and interpret biological databases efficiently.
  • Statistical Analysis
    Use statistical methods for biological research and data interpretation.
  • Research Skills Development
    Perform scientific research and experimental data analysis.
  • Problem Solving Ability
    Solve complex biological problems using computational approaches.
  • Drug Discovery Concepts
    Understand bioinformatics applications in pharmaceutical and drug development.
  • Interdisciplinary Knowledge
    Integrate biology, computer science, and mathematics for scientific solutions.
  • Bioinformatics Software Usage
    Work effectively with modern bioinformatics tools and platforms.
  • Professional & Ethical Practices
    Demonstrate ethical responsibility and professionalism in scientific research.

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