ICES and UT Computer Science offer new integrated master's program

ICES is launching a new integrated five-year master's program in partnership with UT’s Department of Computer Science. The integrated program allows students to earn a bachelor’s degree in computer science, and a master’s degree in computational science, engineering, and mathematics.

"ICES is pleased to offer this dual degree program which will introduce exceptional computer science students to the growing field of computational science and engineering early in their careers,” says ICES Professor Todd Arbogast, who also serves as the chair of the graduate studies committee of the Computational Science, Engineering and Mathematics graduate program offered through ICES. “This complements our other programs for undergraduates that include summer internships and a certificate program."

Students pursuing the dual degree will be able to complete the integrated program in five academic years of full-time study—one year less than it would take to complete the two degrees individually. Students can apply for this program as early as spring 2015, and the first class of students will begin fall 2015.

The UT Computer Science and ICES integrated five-year program leads to the simultaneous awarding of the Bachelor of Science in Computer Science (BSCS) and the Master of Science in Computational Science, Engineering and Mathematics (MSCSEM) degrees. The BSCS degree program prepares undergraduate students with a strong foundation in computing, and the master’s degree program in CSEM provides a strong emphasis on mathematics, scientific computing, and applications of computing to real-world problems.

As computing moves into the mainstream, successful developers and managers must understand the applications of computing to a diverse set of problems, and the underlying algorithms that are the basis for numerical analysis. The BSCS/MSCSEM Integrated Program will provide students with a well-rounded education enabling them to not only understand the fundamental science of computing, but how computing is used to tackle challenging problems, leading to careers in such fields as computational and mathematical modeling.