Master of Science in Meteorology

at San Jose State University USA

The San Jose State University Human Factors and Ergonomics Master's Degree Program is an interdisciplinary degree program that prepares students for practice in their emerging profession through a course sequence that emphasizes theory,
practical applications, and research.

Human Factors/ Ergonomics students take a group of five core courses from several different San Jose State University departments and elective courses in topics of their choosing. The program culminates in a major project or thesis.

Program Outcomes
The program’s outcomes are expected to provide a firm foundation that enables graduates to achieve the above program objectives. The Human Factors/Ergonomics Program is designed to produce industrial and systems engineering graduates who:

• Have an ability to apply knowledge of the sciences of human factors and workplace ergonomics.
• Have an ability to design and conduct experiments, as well as to analyze and interpret data.
• Have an ability to design a system, component, or process to meet accepted human factors and workplace ergonomics standards within realistic constraints such as economic, environmental, social, political, ethical, health and safety,manufacturability, and sustainability.
• Have an ability to function on multi-disciplinary teams.
• Have an ability to identify, formulate and solve human factors and workplace ergonomics problems.
• Have an understanding of professional and ethical responsibility.
• Have an ability to communicate effectively.
• Have the broad education necessary to understand the impact of human factors and workplace ergonomics solutions in a global, economic, environmental, and societal context.
• Have a recognition of the need for, and an ability to engage in, life-long learning.
• Have the knowledge of contemporary issues.
• Have an ability to use the techniques, skills, and modern human factors and workplace ergonomics tools necessary for industrial and systems engineering practice.

This 120-unit program prepares students for professional positions in applied physics and research or for graduate study at the PhD level (transfer students must take at least 12 units of upper division physics major courses at SJSU with a GPA of 2.0 or better in these courses).

The MS Materials Engineering program provides advanced study of materials engineering topics with emphasis on both the fundamental and applied aspects. A multi-disciplinary approach to education is evident in the materials engineering program’s specialization areas of semiconductor processing, structural materials, and biomaterials. Elective courses are also available in science, business, and other engineering fields. This broad-based, multi-disciplinary education has proven to be an important factor for a student’s future success, either at leading Silicon Valley companies or in Ph.D. programs. Class schedules are designed for the convenience of employed engineers who wish to pursue graduate work on a part-time basis.

The faculty are actively involved in research in a number of areas including electronic and magnetic materials, semiconductor processing, MEMS, microelectronic packaging, polymers, composites, nanotechnology, and biomaterials. Research activity is sponsored by local industries as well as by government funding agencies.

The Materials Engineering program welcomes students with undergraduate degrees in a variety of other engineering and science disciplines.

The Bay Area needs well-trained technical writers and editors. The high-tech companies of Silicon Valley require people who are able to write quality manuals, reports, and web updates; write clear business reports and promotional materials; communicate effectively both with consumers and within the company; and understand each step of the publication process.

The U.S. Bureau of Labor Statistics reports that demand for technical writers will continue to increase for the foreseeable future, especially in regions of the country like ours. Download more information about the demand for technical writers. [pdf]

So what is Professional and Technical Writing (PTW)? Simply put, PTW is writing done in a workplace environment designed to persuade, inform, or instruct. While “professional” generally applies to business writing and “technical” generally applies to writing about technical topics, most professional writers would find the distinction superficial because they are frequently required to do both.

San Jose State University has an outstanding curriculum in molecular biology that includes courses providing a strong theoretical background as well as intensive hands-on laboratory experience. Graduates from this program typically pursue PhDs, MDs and other health science-related graduate degrees, or careers in the biotechnology industry. Biotechnology is one of the most rapidly growing industries in the Bay Area and the world with an accelerating need for employees with training in the biological sciences. Career opportunities for students with a concentration in Molecular Biology include teaching, research, drug development, marketing, management, and patent law.

The faculty in the Molecular Concentration were trained at prestigious institutions including UC Berkeley, UC San Francisco, the Salk Institute, and Stanford University, and their research is funded by the National Science Foundation and the National Institutes of Health.  Students in our program have the opportunity to directly interact with their professors, an important advantage over programs at many other universities.

Linguistics is the scientific study of human language. It attempts to answer fundamental questions such as, What is language? How does it work? How is it represented in the mind? What features do all human languages share in common? How do languages change over time?

Within universities, linguistics is often grouped together with other social and behavioral sciences such as anthropology and sociology. However, the concerns of linguistics also overlap with those of English, philosophy, and other humanities, with certain physical sciences such as acoustics, and computer science. And because language is ultimately situated in the brain, linguistics is sometimes considered one of the "cognitive sciences," along with psychology, philosophy, and artificial intelligence.

The linguistics faculty at SJSU offers expertise in many areas within linguistics, including

• Computational linguistics (computer processing of language)
• Morphology and syntax (the structure of words and sentences)
• Phonetics and phonology (the sounds of language)
• Psycholinguistics (language and the brain)
• Semantics (meaning)
• Sociolinguistics (language and society)

The Master of Science program gives students the opportunity to further their knowledge in foundational and applied topics, preparing them for advanced industrial or research positions. Students are expected to complete six graduate level courses, two electives, and two semesters of project work. Full-time students generally take two years to complete the program. The program is available to students with a bachelor's degree in computer science or a related discipline. In order to ensure small class sizes and individual supervision of projects, the size of the program is limited and applications are competitive.

The School of Journalism and Mass Communications embraces the innovative spirit of Silicon Valley, emphasizing cultural and intellectual diversity, the First Amendment, and the free flow of ideas.
Students pursuing a Master's in Mass Communication are eligible for graduate assistantships within JMC. These positions are competitive and priority is given to new graduate students. They will spend the semester supporting one or two professors with a variety of projects. Each professor will have unique tasks for their student assistant. The graduate assistantship is an opportunity for the student to gain professional experience in an area of interest and supplement their academic development.

The Master of Science in Data Analytics, offered by the Department of Applied Data Science, is developed in partnership with industry experts targeting students from diverse academic and professional backgrounds. Students receive the advanced education necessary to apply analytics to solve real-world problems by immersing them in the full data analytics process lifecycle.

Students learn how to build portfolios of data analytics projects by leveraging the interrelationship between domain data knowledge and emerging information technologies. Students advance their knowledge and skills through the integration of:

• Identifying domain-specific problems, defining requirements, and establishing measurable organizational objectives.
• Performing data exploration, preparation, visualization, and governance.
• Applying programming, statistics, database, data mining, and machine learning technologies to build models for descriptive, diagnostic, predictive, and prescriptive data analytics.
• Engaging in the development, validation, and monitoring of data analytics systems to meet requirements and objectives.

Today most organizations treat analytics as a strategic asset, and analytics is central to many functional roles and skills. This program prepares students for a career in data analytics in almost all industry domains. Potential career roles for graduates include data analyst, data administrator, business intelligence analyst, and information research scientist.

This degree is recommended for students who wish to work in the research and development area of industry. This program also prepares a student for graduate study in applied mathematics, numerical analysis, or operations research. The concentration in applied and computational mathematics provides a solid foundation in classical applied mathematics as well as computational mathematics, which could be informally described as "how to employ mathematics on computers wisely." A graduate could seek direct employment assisting a group of scientists with the formulation and solution of problems. There is a great need in local and national technical industries for people with sufficiently strong mathematical knowledge to participate on such teams. For example, modern techniques for solving partial differential equations are very sophisticated; the best method in a given situation depends on the properties of the model. Once a numerical approximation has been formulated, the techniques to solve that, and the commercial software available to do it, again require informed decisions.