MS in Industrial Mathematics at New Mexico Institute of Mining & Technology
Sunday, May 3rd, 2009Accreditation Information :
Pre Requisite Courses :
Qualifying Exams :
Tution Fees :
Financial Aid / Scholarship Offered :
Courses :
Accreditation Information :
Pre Requisite Courses :
Qualifying Exams :
Tution Fees :
Financial Aid / Scholarship Offered :
Courses :
Accreditation Information :
Pre Requisite Courses :
Qualifying Exams :
Tution Fees :
Financial Aid / Scholarship Offered :
Courses :
Accreditation Information :
Pre Requisite Courses :
Qualifying Exams :
Tution Fees :
Financial Aid / Scholarship Offered :
Courses :
Accreditation Information :
Pre Requisite Courses :
Qualifying Exams :
Tution Fees :
Financial Aid / Scholarship Offered :
Courses :
Accreditation Information :
Pre Requisite Courses :
Qualifying Exams :
Tution Fees :
Financial Aid / Scholarship Offered :
Courses :
The Department of Mathematical, Engineering and Physics offers bachelor of science, bachelor of arts and bachelor of science engineering degrees in mathematics, engineering and physics as well as minors in computer science, mathematics and physics.
The Department of Mathematical, Engineering and Physics trains students in the fields of mathematics, engineering and physics. By encouraging and developing problem-solving, numerical methods, mathematical prowess, critical/analytical thinking, and practical, laboratory-based skills, our students are well prepared for careers in any combination of these fields, either via solid preparation for further graduate education or immediate entrance into the workforce (industry, teaching, and national labs).
The engineering program prepares students for professional practice and graduate studies in engineering. By offering fundamental core courses in both electrical and mechanical engineering with specialized tracks, the program produces engineers versed in interdisciplinary team approaches to problem solving.
Mathematical scientists play increasingly important roles as advances in research use and benefit from quantitative mathematical models. Successful analysis of complex models illuminates the role and interaction of key components in the system being studied and provides essential tools for evaluating and improving system performance. The sequence of model development, analysis, simulation and interpretation of data demands application of advanced mathematical methods at a level that often requires the knowledge and skills acquired during doctoral study.
Who should enroll?
The program is intended for highly motivated and able students with a strong interest in mathematics and its applications, who are interested in the challenges of research and a career in the mathematical sciences or a related field. The degree can be completed on a part-time basis, but participation on a full-time basis is strongly encouraged.
In our information-led society data is a crucial commodity. Statisticians specialize in methods for collecting data by sampling methods and in statistical modeling and analysis, with a view to drawing meaningful conclusions from data. They also allow for the effects of uncertainty and “noise” that is often present in real data sets. Accordingly, trained statisticians are in substantial demand in diverse fields such as medicine and pharmaceuticals, environmental sciences, service industries, manufacturing, insurance, the financial industry, government, and market research.
Who should enroll?
The program is well suited for students with a baccalaureate degree who are planning to pursue a statistics-oriented career in the pharmaceutical or other industries and in commercial enterprises where basic statistical skills and knowledge of contemporary methods of data analysis and modeling are required. Additionally, for graduate students who intend to pursue a doctoral degree in Applied Probability and Statistics, the Masters program will equip them with the basic training in foundations needed for further graduate studies and research. It will also benefit practicing engineers and high technology workers who are seeking to advance their knowledge of statistical methods. The degree can be completed on a part-time basis, an option available to U.S. citizens and residents.
The Department of Mathematical Sciences (DMS) at the New Jersey Institute of Technology (NJIT) is a full service teaching and active research department in the College of Science and Liberal Arts. It has been designated as one of three programs at NJIT for Strategic Initiative funds to enhance its national recognition.
The DMS occupies the 2nd, 5th, and 6th floors of Cullimore Hall, located in the northeast corner of the NJIT campus nestled in between Eberhardt Hall and the Fenster Building.
The DMS offers a BS degree in Mathematical Sciences with options in Applied Mathematics, Applied Statistics, Mathematical Biology, and Mathematics of Finance & Actuarial Science; an M.S. degree in Applied Mathematics; an MS degree in Applied Statistics; and a PhD degree in Mathematical Sciences with tracks in Applied Mathematics and Applied Probability & Statistics.
There are 48 tenure-track Faculty members, five Special Lecturers, five Lecturers, and several Adjuncts in DMS.
The undergraduate program has about 114 majors including double majors and about 140 minors. In addition to the standard undergraduate curricula in Mathematical Sciences, a new 7-year Accelerated BS/MD Program in Mathematical Sciences has been established. The graduate program has about 40 MS students and 30 PhD students. In addition, DMS fulfills a large service role in the University by providing courses in mathematics at all levels, including precalculus, undergraduate, and graduate. Also, these courses range over many different disciplines, such as differential equations, probability and statistics, mathematical biology, mathematical fluid dynamics, discrete mathematics, numerical analysis and scientific computing, mathematical analysis, linear algebra, and variational methods.
The DMS is the recipient of an NSF Award for an Undergraduate Biology and Mathematics Training Program, one of only eight such awards in the country. This training program will educate undergraduate students in an environment in which mathematics and biology are intimately linked at both the curricular and research levels.
Research faculty members in DMS are primarily in Applied Mathematics and Applied Statistics. Some of the research specialties are in Mathematical Biology, Mathematical Fluid Dynamics, Linear and Nonlinear Waves, Electromagnetics, Optics, Acoustics, Applied Statistics, and Numerical Analysis. Research funding comes from the NSF, NIH, ONR, AFOSR, NASA, DOE, Whitaker Foundation, and the Council for International Exchange of Scholars (Fulbright Foundation).
Mathematics has always been crucial to many forms of scientific inquiry. Now, more than ever, advances in scientific research are found to benefit from the formulation and analysis of quantitative mathematical models. Successful analysis of a model leads to a better understanding of the role and interaction of key components in the system being studied and provides a predictive tool for improving system performance.
Who should enroll?
The program is intended for motivated students with a strong interest in mathematics, who enjoy the challenges of problem solving, and are interested in a career in the mathematical sciences or a related field. It is designed to meet the needs of those intending to pursue a doctoral degree in the mathematical or related sciences, but is also well-suited to students who want to expand their mathematical skills for careers in industry, commerce, or education. The program will benefit practicing engineers and high technology workers seeking to enhance their expertise in applied mathematics. The degree can be completed on a part-time basis, but participation on a full-time basis is encouraged.