Doctor of Philosophy (Ph.D.) in Mathematical Sciences PHD Programme By Michigan Technological University |TopUniversities

Doctor of Philosophy (Ph.D.) in Mathematical Sciences

Main Subject Area

MathematicsMain Subject Area

Programme overview

Main Subject

Mathematics

Study Level

PHD

Michigan Tech's Mathematical Sciences program is uniquely known for its emphasis in computational mathematics, statistical genetics, and combinatorics. Mathematics and statistics are used in research to address a variety of problems. Some examples include using computational fluid dynamics (CFD) to design cleaner diesel engines; using CFD to study flows in visco-elastic fluids and emulsions, including those important to the food industry; developing statistical methods and efficient computer algorithms to identify genes correlated with disease, including diabetes, hypertension, and Lou Gehrig’s disease; designing and analyzing error-correcting codes to improve the transport of information over noisy channels; studying combinatorial designs for applications such as product testing and scheduling; and developing monitoring plans for wildlife populations. The department is affiliated with the Computational Science and Engineering program, in which students combine mathematics and high performance computing to solve real engineering or science problems. The department has a thorough training program for graduate teaching assistants. GTAs are carefully prepared for their instructional duties and for future teaching careers at the university level.

Programme overview

Main Subject

Mathematics

Study Level

PHD

Michigan Tech's Mathematical Sciences program is uniquely known for its emphasis in computational mathematics, statistical genetics, and combinatorics. Mathematics and statistics are used in research to address a variety of problems. Some examples include using computational fluid dynamics (CFD) to design cleaner diesel engines; using CFD to study flows in visco-elastic fluids and emulsions, including those important to the food industry; developing statistical methods and efficient computer algorithms to identify genes correlated with disease, including diabetes, hypertension, and Lou Gehrig’s disease; designing and analyzing error-correcting codes to improve the transport of information over noisy channels; studying combinatorial designs for applications such as product testing and scheduling; and developing monitoring plans for wildlife populations. The department is affiliated with the Computational Science and Engineering program, in which students combine mathematics and high performance computing to solve real engineering or science problems. The department has a thorough training program for graduate teaching assistants. GTAs are carefully prepared for their instructional duties and for future teaching careers at the university level.

Admission Requirements

6.5+
To be considered for admission to the Graduate School as a degree seeking student, the applicant must be the recipient of a bachelor’s degree or its equivalent from an accredited institution, adequately prepared for advanced study in the chosen field of specialization, as demonstrated by the previous program of study and the scholastic record. Other English language requirements: Test of English as a Foreign Language (TOEFL): minimum 550 PBT, Eiken STEP: minimum P1 (for Japanese applicants; includes speaking portion; score of 2A=ESL, P2=low beginner, 1=accept for grad); MELAB: minimum 77 (average of scores on parts 1, 2, and 3) US and Canada test sites only; Pearson Test of English: 53.

Jan-2000

Tuition fees

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Scholarships

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