Bioinformatics, Graduate Certificate (Boston)

Graduatemajor2027 catalogScienceBoston15 semester hours totalverified parse

Official catalog page for this program

Core Requirements

• BINF 6200 — Bioinformatics Programming
• BINF 6310 — Introduction to Bioinformatics
• One of:
  • BINF 6400 — Genomics in Bioinformatics
  • BINF 6430 — Transcriptomics in Bioinformatics

Elective

From the catalog

Complete one of the following (electives outside this list may be chosen in consultation with faculty advisor):

• One of:
  • BINF 6250 — Algorithmic Foundations in Bioinformatics
  • BINF 6400 — Genomics in Bioinformatics
  • BINF 6420 — Omics in Bioinformatics
  • BINF 6430 — Transcriptomics in Bioinformatics
  • BIOE 5235 — Biomedical Imaging
  • BIOE 5420 — Cellular Engineering
  • BIOE 6000 — Principles of Bioengineering
  • BIOE 6100 — Medical Physiology
  • BIOL 5100 — Biology Colloquium
  • BIOL 5543 — Stem Cells and Regeneration
  • BIOL 5549 — Inventions in Microbial Biotechnology
  • BIOL 5573 — Medical Microbiology
  • BIOL 5581 — Biological Imaging
  • BIOL 5583 — Immunology
  • BIOL 5585 — Evolution
  • BIOL 5591 — Advanced Genomics
  • BIOL 5593 — Cell and Molecular Biology of Aging
  • BIOL 5821 — Cell and Gene Therapies
  • BIOL 6300 — Biochemistry
  • BIOL 6301 — Molecular Cell Biology
  • BIOL 6303 — Neurobiology and Behavior
  • BIOL 6405 — Prokaryotic Cell and Molecular Biology
  • BIOL 6407 — Biochemistry for Molecular Biologists
  • BIOT 5120 — Foundations in Biotechnology
  • BIOT 5145 — Biotechnology Lab Skills
  • BIOT 5219 — The Biotechnology Enterprise
  • BIOT 5225 — Managing and Leading a Biotechnology Company
  • BIOT 5228 — Planning and Executing Biotechnology Projects
  • BIOT 5560 — Bioprocess Fundamentals
  • BIOT 5621 — Protein Principles in Biotechnology
  • BIOT 5635 — Downstream Processes for Biopharmaceutical Production
  • BIOT 5640 — Drug Product Processes for Biopharmaceuticals
  • BIOT 5700 — Molecular Interactions of Proteins in Biopharmaceutical Formulations
  • BIOT 5750 — Molecular Approaches in Biotechnology
  • BIOT 5810 — Cutting-Edge Applications in Molecular Biotechnology
  • BIOT 5830 — Regulatory Landscape of Cell and Gene Therapies
  • BIOT 5840 — Cell and Gene Therapy Lab
  • BIOT 5850 — Higher-Order Structure Analytics
  • BIOT 7245 — Biotechnology Applications Laboratory
  • BIOT 7983 — Special Topics in Biotechnology
  • CHEM 5550 — Introduction to Glycobiology and Glycoprotein Analysis
  • CHEM 5617 — Protein Mass Spectrometry Laboratory
  • CHEM 5620 — Protein Chemistry
  • CHEM 5638 — Molecular Modeling
  • CS 5004 — Object-Oriented Design
  • CS 5008 — Data Structures, Algorithms, and Their Applications within Computer Systems
  • CS 5010 — Programming Design Paradigm
  • CS 5100 — Foundations of Artificial Intelligence
  • CS 5130 — Applied Programming and Data Processing for AI
  • CS 5200 — Database Management Systems
  • CS 5400 — Principles of Programming Language
  • CS 5500 — Foundations of Software Engineering
  • CS 5600 — Computer Systems
  • CS 5610 — Web Development
  • CS 5700 — Fundamentals of Computer Networking
  • CS 5800 — Algorithms
  • CS 6120 — Natural Language Processing
  • CS 6140 — Machine Learning
  • CS 6200 — Information Retrieval
  • CS 6220 — Data Mining Techniques
  • CS 6620 — Fundamentals of Cloud Computing
  • CS 7150 — Deep Learning
  • DA 5020 — Collecting, Storing, and Retrieving Data
  • DA 5030 — Introduction to Data Mining/Machine Learning
  • DAMG 6105 — Data Science Engineering with Python
  • DS 5010 — Introduction to Programming for Data Science
  • DS 5020 — Introduction to Linear Algebra and Probability for Data Science
  • DS 5220 — Supervised Machine Learning and Learning Theory
  • DS 5230 — Unsupervised Machine Learning and Data Mining
  • EEMB 5130 — Population Dynamics
  • HINF 5101 — Introduction to Health Informatics and Health Information Systems
  • HINF 5102 — Data Management in Healthcare
  • HINF 5105 — The American Healthcare System
  • HINF 5110 — Global Health Information Management
  • HINF 5200 — Theoretical Foundations in Personal Health Informatics
  • HINF 6220 — Database Design, Access, Modeling, and Security
  • INFO 6105 — Data Science Engineering Methods and Tools
  • INSH 5301 — Introduction to Computational Statistics
  • INSH 5302 — Information Design and Visual Analytics
  • MATH 5131 — Introduction to Mathematical Methods and Modeling
  • MATH 7203 — Numerical Analysis 1
  • MATH 7205 — Numerical Analysis 2
  • MATH 7207 — Algorithms for Optimization
  • MATH 7233 — Graph Theory
  • MATH 7241 — Probability 1
  • MATH 7340 — Statistics for Bioinformatics
  • MATH 7341 — Probability 2
  • MATH 7342 — Mathematical Statistics
  • MATH 7344 — Regression, ANOVA, and Design
  • NNMD 5272 — Nanomedicine Seminar
  • NNMD 5310 — Bioethics in the Age of Artificial Intelligence
  • NNMD 5370 — Nanomedicine Research Techniques
  • PHSC 5500 — Repurposing Drugs for Cancer Immunotherapies
  • PHSC 5905 — Artificial Intelligence and Machine Learning in Drug Discovery: Concepts and Applications
  • PHSC 6214 — Experimental Design and Biostatistics
  • PHYS 5116 — Network Science 1
  • PHYS 7332 — Network Science Data 2

GPA requirements

• 15–16 total semester hours required Minimum 3.000 GPA required

Parsed from the catalog by NU Map; the structured machine copy is in this college's JSON for the 2027 catalog, under bioinformatics-graduate-certificate-boston, and the official page is the authority.