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graduate CERTIFICATE IN NGS and GEnomic Data Analysis

About the Program

Program Overview

This 5-month fully online certificate program immerses learners in the fast-growing field of genomic data analysis. It covers foundational concepts in genome biology, bioinformatics pipelines, sequencing technologies, data cleaning, variant analysis, and clinical reporting. The program emphasizes both technical skills and interpretation strategies, using hands-on tools like Galaxy, Bioconductor, Python, and R. The final month includes a mentored capstone project where students process raw NGS data and generate an annotated, visual report.

Program Description

Designed for aspiring genomic analysts, bioinformatics technicians, and lab researchers, this program introduces the core tools and workflows used in genomic analysis. Students will work with NGS data (FASTQ to VCF), align reads, call variants, and interpret genetic findings using real-world clinical or public datasets. The curriculum is especially suited to students in biotechnology, molecular diagnostics, and biomedical data science fields. A focus is placed on hands-on analysis using scripting tools and platforms like Galaxy, GATK, and Ensembl.

Program Learning Outcomes

Graduates of this program will be able to:

  • Explain the structure and function of the human genome and its role in health and disease
  • Perform quality control and alignment of sequencing data using Galaxy and command-line tools
  • Execute variant calling and annotate using open-source tools like GATK, ANNOVAR, and VEP
  • Conduct exploratory data analysis and create visualizations using Python and R
  • Interpret variants using clinical guidelines (e.g., ACMG), and write basic diagnostic reports
  • Manage datasets responsibly in compliance with ethical guidelines and data privacy standards
     

Program Highlights:

  • Tool-Focused Curriculum: Training in Galaxy, Bioconductor, SAMtools, Python, R
  • Flexible Online Delivery: Ideal for working professionals and students in STEM fields
  • Portfolio-Driven Learning: Capstone project and practical assignments form a professional portfolio
  • Clinically Oriented: Learn interpretation standards used in diagnostic genomics labs
  • Cross-Disciplinary: Combines biotechnology, informatics, and clinical genetics skills
     

📝 Program Summary

The Certificate in Genomic Data Analysis is ideal for students or professionals seeking to enter the genomics, diagnostics, or bioinformatics industries. This career-focused program builds skills in data processing, variant interpretation, and genomic reporting, positioning graduates for entry-level positions or continued study in genomic sciences and health informatics.

Register

Certificate in Genomic data analysiS (5 months online)

August 2025

Course 1: Introduction to Genomics & NGS

-Live Instruction

Event Details

August 2025

Course 1: Introduction to Genomics & NGS

  1. Human Genome Structure
  2. Genome Milestones
  3. NGS Platforms
  4. Library Prep
  5. Read Formats
  6. FASTQ QC
  7. Reference Genomes
  8. Genome Coverage
  9. NGS Clinical Application...

Event Details

-Live Instruction

September 2025

Course 2: Bioinformatics Workflows

-Live Instruction

Event Details

September 2025

Course 2: Bioinformatics Workflows

  1. Galaxy Overview
  2. UNIX/Bash Basics
  3. Quality Control (FastQC)
  4. Read Trimming (Trimmomatic)
  5. Sequence Alignment (BWA)
  6. BAM File Processing (SAMtools)
  7. Vari...

Event Details

-Live Instruction

October 2025

Course 3: Data Analysis with R & Python

Live Instruction

Event Details

October 2025

Course 3: Data Analysis with R & Python

  1. IDE Setup
  2. Data Frames and Vectors
  3. Data Cleaning (Pandas, dplyr)
  4. Exploratory Statistics
  5. Visualizations (ggplot2, matplotlib)
  6. Bioconductor for Geno...

Event Details

Live Instruction

November 2025

Course 4: Clinical Genomics Interpretation

Live Instruction

Event Details

November 2025

Course 4: Clinical Genomics Interpretation

  1. ACMG Guidelines
  2. ClinVar/GnomAD Databases
  3. Pathogenicity Scores
  4. Variant Classifications
  5. Genotype-Phenotype Mapping
  6. PGx Markers
  7. Mendelian Cases
  8. Oncolo...

Event Details

Live Instruction

December 2025

Course 5: Capstone in Genomic Analysis

Live Instruction

Event Details

December 2025

Course 5: Capstone in Genomic Analysis

  1. Project Setup
  2. Dataset Selection
  3. Tool Choice & Setup
  4. QC & Alignment
  5. Variant Detection
  6. Annotation Process
  7. Result Visualization
  8. Report Creation
  9. Peer Re...

Event Details

Live Instruction

registration form

Certificate in Genomic Data Analysis

Why Students Should Enroll

  1. Industry-Relevant Technical Skills: Get hands-on experience with tools like Galaxy, GATK, Bioconductor, and Python — all essential in clinical genomics labs.
  2. No Coding Experience Required: The program is beginner-friendly and introduces programming in a structured, practical way.
  3. Career Flexibility Across Sectors: Prepares students to work in biotechnology, diagnostics, academic research, and even pharmaceuticals.
  4. Capstone Builds Job-Ready Portfolio: Students complete real-life genomic analysis projects, useful for resumes or job interviews.
  5. Alignment with CLIA/CAP Labs & Industry Needs: Curriculum focuses on standards and data pipelines used in accredited genomics labs. 
  6. Interdisciplinary Focus: Combines molecular biology, bioinformatics, statistics, and clinical reporting.
     

🧪 Career Roles After Completion

  • Genomic Data Analyst
  • Bioinformatics Technician
  • NGS Laboratory Associate
  • Molecular Diagnostics Assistant 
  • Genomic Data Curator
  • Clinical Genomics Data Pre-Analyst
     

Program Fee $540. Payable $108 monthly

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Genomic Data Analysis

Career & Growth Opportunities

  • Bioinformatics is projected to grow significantly due to personalized medicine and AI integration
  • Opportunity to specialize in cancer genomics, rare disease diagnostics, or pharmacogenomics
  • Pathway to research associate, lab technician, or bioinformatics analyst
  • Apply for Master’s/PhD in Genomics, Bioinformatics etc.

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