New Degree Program in Earth Resource Management
- ERM provides education specifically for management and leadership in the resource industries
- The degree is designed for individuals with undergraduate degrees in engineering and the physical sciences, but also open to those in business or communications who have strong technical backgrounds.
- The program will provide instruction in the science and technology of resource utilization, as well as in finance, economics, management, leadership, law, and innovation.
- Career opportunities in diverse settings including start-up companies, established industries, government agencies, various health-care, environmental entities, law firms, and non-profit organizations.
- Develop an understanding of the biochemical, genetic, and molecular aspects of biotechnology paramount in guiding the future of the industry.
- Take advanced science courses in Bioanalytical Chemistry and Protein and Nucleic Acid Biochemistry and choose electives based on your professional goals.
Computational and Data Science
- Learn how to use data visualization, develop mathematical models, and employ numerical methods important to businesses and industries.
- Incorporate coursework from different mathematical disciplines to reflect the breadth of computational and data science employed to solve real-world problems.
- Areas of study include: Applied Math, Computational Math, Biology Financial Math, Scientific Computing, Statistics, Graphics and Visualization, Artificial Intelligence and Robotics.
- Learn how environmental challenges are increasingly interdisciplinary in nature and require professionals who have a strong foundation in science
- Develop skills to think across boundaries, and effectively communicate with all stakeholders.
- Focus on the analytical aspects at the forefront of today’s environmental fields.
- Relate quantitative measurement feedback to both the design and the development of new products and to control, calibrate and diagnose physical processes.
- Understand fundamental principles of measurement and instrumentation, including the physical sensors employed, systematic and statistical errors, dynamic response, calibration, filtering and signal averaging.
- Incorporates coursework from multiple scientific and engineering disciplines to provide students with a fundamental understanding of instrumentation and exposure to quantitative measurement and analysis critically needed in science-based commercial and academic enterprises.