Bioinformatics, MS (Boston)
Graduatemajor2027 catalogScienceBoston32 semester hours totalverified parse
Official catalog page for this program
Programming
- BINF 6200 — Bioinformatics Programming
Computational Methods
- BINF 6310 — Introduction to Bioinformatics
Statistics
- MATH 7340 — Statistics for Bioinformatics
Research and Seminar
From the catalog
Complete one of the following:
- One of:
Professional Development
- EESC 6500 — Pathways to Professional Success
Coursework Pathway
4 semester hours.
From the catalog
Complete 4 semester hours from the restricted electives or additional electives lists below.
Optional Co-op Experience
Restricted Electives
- One of:
- BINF 6250 — Algorithmic Foundations in Bioinformatics
- BINF 6400 — Genomics in Bioinformatics
- BINF 6420 — Omics in Bioinformatics
- BINF 6430 — Transcriptomics in Bioinformatics
- BIOL 5100 — Biology Colloquium
- BIOL 5543 — Stem Cells and Regeneration
- BIOL 5585 — Evolution
- BIOL 5593 — Cell and Molecular Biology of Aging
- BIOL 6301 — Molecular Cell Biology
- 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 5621 — Protein Principles in Biotechnology
- BIOT 5750 — Molecular Approaches in Biotechnology
- BIOT 5850 — Higher-Order Structure Analytics
- 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 5800 — Algorithms
- CS 6120 — Natural Language Processing
- CS 6140 — Machine Learning
- CS 6200 — Information Retrieval
- CS 6220 — Data Mining Techniques
- 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
- EEMB 6465 — Ecological and Conservation Genomics
- 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 7207 — Algorithms for Optimization
- MATH 7243 — Machine Learning and Statistical Learning Theory 1
- MATH 7339 — Machine Learning and Statistical Learning Theory 2
- MATH 7342 — Mathematical Statistics
- MATH 7344 — Regression, ANOVA, and Design
- NNMD 5310 — Bioethics in the Age of Artificial Intelligence
- PHSC 5905 — Artificial Intelligence and Machine Learning in Drug Discovery: Concepts and Applications
- PHSC 6214 — Experimental Design and Biostatistics
Additional Electives
From the catalog
Electives outside this list may be chosen in consultation with faculty advisor:
- One of:
- BIOE 5235 — Biomedical Imaging
- BIOE 5420 — Cellular Engineering
- BIOE 6000 — Principles of Bioengineering
- BIOE 6100 — Medical Physiology
- BIOL 5549 — Inventions in Microbial Biotechnology
- BIOL 5573 — Medical Microbiology
- BIOL 5581 — Biological Imaging
- BIOL 5583 — Immunology
- BIOL 5591 — Advanced Genomics
- BIOL 5821 — Cell and Gene Therapies
- BIOL 6300 — Biochemistry
- BIOL 6303 — Neurobiology and Behavior
- BIOT 5225 — Managing and Leading a Biotechnology Company
- BIOT 5228 — Planning and Executing Biotechnology Projects
- BIOT 5560 — Bioprocess Fundamentals
- BIOT 5635 — Downstream Processes for Biopharmaceutical Production
- BIOT 5640 — Drug Product Processes for Biopharmaceuticals
- BIOT 5700 — Molecular Interactions of Proteins in Biopharmaceutical Formulations
- 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 7245 — Biotechnology Applications Laboratory
- BIOT 7983 — Special Topics in Biotechnology
- CHEM 5550 — Introduction to Glycobiology and Glycoprotein Analysis
- CHEM 5617 — Protein Mass Spectrometry Laboratory
- CS 5610 — Web Development
- CS 5700 — Fundamentals of Computer Networking
- CS 6620 — Fundamentals of Cloud Computing
- CS 7150 — Deep Learning
- 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
- MATH 7203 — Numerical Analysis 1
- MATH 7205 — Numerical Analysis 2
- MATH 7233 — Graph Theory
- MATH 7241 — Probability 1
- MATH 7341 — Probability 2
- NNMD 5272 — Nanomedicine Seminar
- NNMD 5370 — Nanomedicine Research Techniques
- PHSC 5500 — Repurposing Drugs for Cancer Immunotherapies
- PHYS 5116 — Network Science 1
- PHYS 7332 — Network Science Data 2
Concentrations (choose 1)
Concentration in Bioinformatics Enterprise
From the catalog
Complete 6 semester hours of coursework from the restricted electives list below.
- BIOT 5219 — The Biotechnology Enterprise
- BIOT 5225 — Managing and Leading a Biotechnology Company
- BIOT 5228 — Planning and Executing Biotechnology Projects
Concentration in Biotechnology
From the catalog
Complete 5 semester hours of coursework from the restricted electives list below.
- BIOT 5120 — Foundations in Biotechnology
- BIOT 5621 — Protein Principles in Biotechnology
- BIOT 5750 — Molecular Approaches in Biotechnology
Concentration in Data Analytics
From the catalog
Complete 2 semester hours from the restricted electives list below.
- DA 5020 — Collecting, Storing, and Retrieving Data
- DA 5030 — Introduction to Data Mining/Machine Learning
From the catalog
Complete one of the following:
- One of:
Concentration in Health Informatics
From the catalog
Complete at least 9 semester hours from the following:
Complete 5 semester hours of coursework from the restricted electives list below.
- Choose 9 semester hours from:
- 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
Concentration in Omics
From the catalog
Complete 2 semester hours of coursework from the restricted electives or additional electives lists below.
- BINF 6400 — Genomics in Bioinformatics
- BINF 6420 — Omics in Bioinformatics
- BINF 6430 — Transcriptomics in Bioinformatics
GPA requirements
- 32 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-ms-boston, and the official page is the authority.