This Certificate Course in Bioinformatics & Computational Biology is designed for students, researchers, and professionals aiming to develop expertise in genomics, data analytics, and computational biology. With hands-on training, real-world datasets, and industry-standard tools, you’ll gain practical knowledge to thrive in biotech, pharma, precision medicine, and healthcare IT.
📢 Limited Seats Available! Secure your spot now!
Course Overview
Course Code: BI101C
Delivery Mode: Online
Project: Yes
Level: Beginner
Credits: 1 (15 hours)
Certification: Awarded upon completion
What You’ll Learn:
🖥 Module 1: Introduction to Bioinformatics & Computational Tools
✔ Basics of Bioinformatics & Its Industry Applications
✔ Linux Command Line for Bioinformatics
✔ Data Retrieval from NCBI, EMBL, Uniprot, PDB
🧬 Module 2: Genomics & Next-Generation Sequencing (NGS) Analysis
✔ Understanding DNA & RNA Sequencing Technologies
✔ Hands-on Alignment & Variant Calling (Using FastQC, BWA, GATK)
✔ Practical: Whole Genome Data Analysis
🔬 Module 3: Structural Bioinformatics & Drug Discovery
✔ Protein Structure Modeling & Molecular Docking
✔ Hands-on: Molecular Docking Simulations (AutoDock, PyMOL, Chimera)
✔ Case Study: Drug-Target Interactions in Disease Research
Why Choose This Course?
🎯 100% Hands-on Training – Work on real-world datasets & analysis pipelines.
🎯 Industry-Driven Curriculum – Gain expertise in genomics, data analytics, and computational biology.
🎯 Tools & Technologies Used – Learn Python, R, Linux, BLAST, NGS, Docking, and AI in Bioinformatics.
🎯 Job-Readiness – Develop industry-demanded skills for biotech, pharma, precision medicine, and healthcare IT.
Who Should Enrol?
👉 Life Science & Biotech Graduates aiming for careers in bioinformatics, pharma, and clinical research.
👉 Computer Science Professionals seeking to transition into biotech & healthcare analytics.
👉 Researchers & Healthcare Professionals looking to expand their expertise in computational biology.
📩 Have Questions? Write to us at contact@globalsouthvarsity.org
Instructor
"From genomics analysis to molecular docking, this course covered everything I needed to break into bioinformatics. The hands-on experience with Python, R, and NGS data was invaluable. I landed an internship in a pharma R&D team shortly after completing it. Truly worth it!"
