Mathemetics of Advanced Industrial Technology (MAIT)

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Abstract

The Norbert Wiener Center, a research and educational unit in the Department of Mathematics at the University of Maryland, College Park, offers a professional Masters degree focusing on the modern mathematical methods and algorithms that underlie today's cutting-edge engineering: The Mathematics of Advanced Industrial Technology (MAIT).

Our program is designed for individuals working in mathematical engineering who are looking for a fast track to understanding and applying the most up-to-date ideas in their current and future projects. Undergraduate degree holders can advance to the Masters level, and Masters degree holders can advance their applicable skills.

In addition to the professional Masters degree, we also offer two certificate programs. For students wishing to enhance their career skills in specific subject matter, the Center also offers a Graduate Certificate in Mathematics of Advanced Industrial Technology to students completing 4 courses (12 credits) within the program. The Norbert Wiener Center also offers a specific Graduate Certificate concentration in Computational Harmonic Analysis. This 12-credit program is tailored to working engineers and scientists wishing to advance their understanding of the latest Fourier, Wavelet, and Time-Frequency Harmonic Analysis methods and algorithms.

Fields including RF and Optical Communications, Signal and Image Processing, Sensor Networks, RADAR and SONAR, Navigations and Avionics, Medical Imaging and Diagnostics, Control Systems, and Robotics, increasingly rely on fast, embedded mathematical algorithms executing on the latest microprocessors, micro-controllers, and DSP cores. Budding fields such as Bioinformatics, Nanotechnology, Data Mining, and Quantum Computing are likewise being built from the ground up around modern mathematical methods. Engineers and scientists that understand advanced mathematical toolsets will have the edge in creating tomorrow's technologies.

The Norbert Wiener Center's educational mission is to teach the mathematics of modern engineering in an accessible and applicable manner. Our faculty is drawn from both academia and industry in order to balance theoretical and "hands on" approaches in the most constructive way. Our courses offer the latest information while tying modern theory directly to application by incorporating industry standard tools. Graduates of the Norbert Wiener Center will be well equipped to apply the latest mathematical tools to advance both their projects and their careers.

The most up-to-date information about the MAIT program can be found on our website at www.mait.umd.edu

Admissions Information

Students entering the program should hold a regionally accredited baccalaureate degree in Mathematics, Engineering, Physics, or a related technical field. Mathematical background should include Calculus, Differential Equations, and Linear Algebra, as well as experience and/or coursework in one or more of the following areas: Scientific Computing, Digital Signal Processing, Numerical Analysis, Boundary Value Problems, Fourier methods, Complex Variables. MAIT also offers preadmission classes to help interested students fulfill these requirements.


Application Deadlines

 

Fall

Spring

Domestic Applicants:
U.S. Citizens and Permanent Residents

Domestic Applicant Deadlines


Applications must be received by August 15 .

 


International Applicants:
Applicants from Outside the U.S. or U.S. Citizens / Permanent Residents with Non-U.S. Credentials


IMPORTANT:   International Applicants and U.S. Applicants with Non-U.S. Credentials must follow the domestic deadlines above if they are earlier than the deadlines listed below.   

Applicants seeking admission under F (Student) or J (Exchange Visitor) visas

February 1
If Domestic Deadline is after Feb. 1

June 1
If Domestic Deadline is after Jun. 1

Applicants seeking admission under A, E, G, H, I, and L visas and immigrants

May 1
If Domestic Deadline is after May 1

October 1
If Domestic Deadline is after Jun. 1

U.S. Citizens and Permanent Residents with foreign credentials

May 15
If Domestic Deadline is after May 15

October 31
If Domestic Deadline is after Oct.31

 

Application Requirements

Students entering the program should hold a regionally accredited baccalaureate degree in Mathematics, Engineering, Physics, or a related technical field. Mathematical background should include Calculus, Differential Equations, and Linear Algebra, as well as experience and/or coursework in one or more of the following areas: Scientific Computing, Digital Signal Processing, Numerical Analysis, Boundary Value Problems, Fourier methods, Complex Variables. MAIT also offers preadmission classes to help interested students fulfill these requirements.

Degree Requirements

Certificate in Computational Harmonic Analysis (Certificate)
The Norbert Wiener Center offers a specific Graduate Certificate concentration in Computational Harmonic Analysis. This 12-credit program is tailored to working engineers and scientists wishing to advance their understanding of the latest Fourier, Wavelet, and Time-Frequency Harmonic Analysis methods and algorithms. The program will include the following courses: MAIT 633 Applied Fourier Analysis; MAIT 623-624 Modern Mathematical Methods of Signal and Image Processing; and a fourth elective selected with the approval of the student's advisor. Coursework must be completed with a GPA of 3.0 or higher.

Certificate in Mathematics of Advanced Industrial Technology (Certificate)
For students wishing to enhance their career skills in specific subject matter, the Center also offers a Graduate Certificate in Mathematics of Advanced Industrial Technology to students completing 4 courses (12 credits) within the program. Coursework will include at least 2 of the core subjects and 2 listed electives to be completed with a GPA of 3.0 or higher.

Master of Mathematics of Advanced Industrial Technology (MS)
The Master of Mathematics of Advanced Industrial Technology (MAIT) degree requires 10 classes (30 credits) to be completed with a GPA of 3.0 or higher. Coursework must include 3 core subjects (MAIT 613 Advanced Applied Linear Algebra, MAIT 623 Modern Mathematical Methods of Signal and Image Processing I, and MAIT 633 Applied Fourier Analysis), as well as electives chosen from a host of options. Coursework also must include a one or two-semester practical project course under the guidance of a faculty member. The project course may be employer-work related. The student's faculty advisor must approve program coursework.

Facilities and Special Resources

Courses for the MAIT program will be taught in the evening at the College Park Campus and also at sites in northern Virginia. The MAIT program is administered by the Norbert Wiener Center for Harmonic Analysis and Applications which is located within the Mathematics department on the second floor of the Mathematics building on Campus Drive in College Park.

Financial Assistance

Contact Information

Additional information can be found on the MAIT web site at www.mait.umd.edu A brochure describing the program is available from the program office or from the web site in electronic form (*.pdf).

Program Coordinator
Suite 2211, Department of Mathematics, University of Maryland, College Park
MD  20740
Telephone: (301) 405-5158
Fax: (301) 314-6710
mait@math.umd.edu

http://www.mait.umd.edu ">http://www.mait.umd.edu

Courses:

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