Develop the ability to analyze big data sets preparing you for careers helping industries use environmentally sustainable processes, manufacture safer products, and better manage their corporate responsibility with the M.S. Environmental OMICS program at St. John’s University
Solve environmental problems using big data sets in the M.S. Environmental OMICS program at St. John’s University in New York City.
Today’s complex environmental problems involve vast amounts of data. In the Master of Science (M.S.) program in Environmental OMICS at St. John’s University, you develop the ability to analyze big data sets related to the environment. This understanding prepares you for careers helping industries use environmentally sustainable processes, manufacture safer products, and better manage their corporate responsibility.
Because protecting environmental resources is the cornerstone of environmental social justice, the M.S. program aligns with the mission of St. John’s.
Environmental OMICS is the branch of environmental science that applies OMICS technologies to address environment-related scientific questions. OMICS refers to the technologies used to explore the functions of the various types of molecules that make up the cells of an organism. It aims at the collective characterization and quantification of pools of biological molecules that translate into the structure, function, and dynamics of an organism or organisms. For example, within the field of environmental OMICS, one might study an organism’s genome in relation to dietary and environmental exposures using a combination of field, bench, and computational research approaches.
Through this master’s degree program, you become a data scientist with expertise in analyzing environmental and genetic factors, toxicity mechanisms, and modes of action in response to both acute and chronic exposure to environmental stresses and the subsequent impact on ecological systems that include human health and disease. You may pursue either the 30-credit thesis option or the 33-credit non-thesis option and may complete an internship or supervised research to further develop your skills.
The M.S. in Environmental OMICS provides students with undergraduate degrees in biology, the other natural sciences, or math and computer science with the opportunity to expand their career options to the field of environmental sustainability.
In addition to the general requirements for admission to graduate study in St. John’s College of Liberal Arts and Sciences, applicants must present a cumulative undergraduate GPA of 3.0, as well as 3.0 or better in the major discipline. No Graduate Record Examination (GRE) scores are required.
Applications received by March 1 will receive priority review. Qualified applications received after March 1 will be considered based on available space in the program.
Office of Graduate Admission
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The M.S. in Environmental OMICS offers both a 33-credit non-thesis option and a 30-credit thesis option. The program’s culminating experience includes a choice of a capstone project, comprehensive examination, or thesis, which students select in consultation with a faculty advisor.
In addition to the required capstone project, thesis, or comprehensive examination, students also have the option of completing an internship or independent study to enhance their research and professional development.
| Course Number | Course Title | Credits |
| ENV 005 | Colloquia | 0 |
| ENV 101 | Environmental Principles | 3 |
| ENV 102 | Methods of Environmental Analysis and Sustainability | 3 |
| ENV 103 | Introduction to OMICS | 3 |
| ENV 200 / MPH 305 | Geographic Information Systems | 3 |
| ENV 210 | Transcriptomes, Proteomes, and Metabolomes | 3 |
| BIO 209 | Bioinformatics | 3 |
| MTH 165 | Introduction to Computing with Applications | 3 |
| Course Number | Course Title | Credits |
| BIO 299 | Scientific Literacy and Integrity | 3 |
| CUS 510 | Database System Design and Data Warehousing | 3 |
| CUS 610 | Data Mining and Predictive Modeling I | 3 |
| CUS 620 | Introduction to Programming for Analytics | 3 |
| LIS 248 | Database Modeling and Design | 3 |
| MTH 167 | Mathematical Modeling I | 3 |
| MTH 172 | Operations Research I | 3 |
| MTH 580 | Database Management Systems | 3 |
| PAS 302 | Health Care Data Analysis and Management | 3 |
| Course Number | Course Title | Credits |
| ENV 900 | Master's Thesis Research | 3 |
| ENV 105T | Master's Thesis Defense | 0 |
| Course Number | Course Title | Credits |
| ENV 005 | Colloquia | 0 |
| ENV 101 | Environmental Principles | 3 |
| ENV 102 | Methods of Environmental Analysis and Sustainability | 3 |
| ENV 103 | Introduction to OMICS | 3 |
| ENV 200 / MPH 305 | Geographic Information Systems | 3 |
| ENV 210 | Transcriptomes, Proteomes, and Metabolomes | 3 |
| BIO 209 | Bioinformatics | 3 |
| MTH 165 | Introduction to Computing with Applications | 3 |
| Course Number | Course Title | Credits |
| BIO 299 | Scientific Literacy and Integrity | 3 |
| CUS 510 | Database System Design and Data Warehousing | 3 |
| CUS 610 | Data Mining and Predictive Modeling I | 3 |
| CUS 620 | Introduction to Programming for Analytics | 3 |
| LIS 248 | Database Modeling and Design | 3 |
| MTH 167 | Mathematical Modeling I | 3 |
| MTH 172 | Operations Research I | 3 |
| MTH 580 | Database Management Systems | 3 |
| PAS 302 | Health Care Data Analysis and Management | 3 |
| Course Number | Course Title | Credits |
| ENV 350 | Internship I | 3 |
| ENV 351 | Internship II | 0 |
| Course Number | Course Title | Credits |
| ENV 105 | Comprehensive Examination | 0 |
| ENV 354 | Capstone | 3 |
St. John’s University offers competitive graduate assistantships to qualified full-time applicants. These positions typically include tuition remission and a stipend. Read more about Graduate Assistantships.
Learn more about additional forms of financial aid available to St. John’s graduate students.
Graduates with an M.S. in Environmental OMICS from St. John’s will meet a high demand for environmental scientists and information research scientists.
According to the Bureau of Labor Statistics, employment of environmental scientists and specialists will grow 11 percent from 2016 to 2026, which is faster than the average. The Bureau of Labor Statistics also indicates that the employment of computer and information research scientists is projected to grow 19 percent from 2016 to 2026 because many companies report difficulties finding these highly skilled researchers.
With a master’s degree in Environmental OMICS, you will be readily employable and prepared to solve the world’s complex environmental problems by harnessing the power of big data.
Program Director, Environmental Studies
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