Students who are interested in studying the field of computational engineering can do so by enrolling in academic programs at the graduate level. These programs prepare students for a number of different jobs that require knowledge of complex computer problem-solving and design. Below are a few examples of common courses in these programs and admission standards for prospective computational engineering graduate students.
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Information on Computational Engineering Graduate Programs
Computational engineering graduate programs are available at both the master's and doctoral levels. Master's degree programs are often offered as Master of Science in Computational Sciences and Engineering or Master of Engineering in Computational Engineering programs. Doctoral programs in this field typically require either a dissertation or thesis. Both master's and doctoral degree programs often allow students to select a specialization in an area like computational electronics and systems, fluid mechanics, or advanced computation. Below, we will look at some courses that are commonly offered in these graduate programs.
Because the field of computational engineering typically involves using a variety of different software programs, students who enroll in a graduate program in this field will likely take a course that focuses on some of these software programs. Students learn how to use and read various scripting languages and learn the basics of computer programs. In addition, this course may cover topics like algorithmic design, logic, and precision arithmetic.
Numerical Analysis and Methods
Graduate programs in computational engineering often include a course or two in numerical analysis. These courses cover topics like linear algebra, differentiation, interpolation, and approximation. In addition, students may study more advanced topics like ordinary and partial differential equations.
Mathematical Methods and Modeling
In a course that is focused on mathematical methods and modeling, students apply their mathematical skills to learning various math-based modeling methods that can be used in computational engineering. Students learn about different methods that can be applied to problems and phenomena in the physical, industrial, and biological fields, and case studies may be examined to understand the various methods and models.
Big Data Analysis
Students enrolled in this course can gain knowledge on topics like veracity, velocity, and value. They could also study data storage, big data processing, and the visualization of big data. This course may expose students to relevant software programs that are used specifically for big data, like Hadoop or MapReduce.
A visualization course instructs students on how to display and analyze data visually. Students are exposed to various techniques and frameworks used to design displays of multiple different types of data. This course will likely include critiques of different data displays and teach ways to use various visualization programs and software systems.
General Admission Requirements for Computational Engineering Graduate Programs
Admission requirements for graduate degree programs in computational engineering vary by program. However, students typically need to have a bachelor's degree and a background in a related field like engineering, computer science, or in a natural science. Some Ph.D. programs may accept both bachelor's and master's degree holding students, though the resulting degree requirements are typically more intensive for applicants who only have a bachelor's degree. When submitting an application to either a master's or doctoral program, students usually need to submit a personal statement, transcripts, resume, letters of recommendation, and standardized test results.
In summary, computational engineering programs are available at both the master's degree and doctorate levels. These programs provide students with the skills needed to work as computational scientists and may allow them to select a specialization in areas ranging from advanced computation to computational electronics.