Welcome to Mathematics at Nipissing

At Nipissing, we combine a strong foundation of academic theory with an emphasis on research. That means you’ll not only learn through lectures, you’ll also spend a significant amount of your upper years ?completing your own research work, under the close supervision of a professor, which is an amazing opportunity for undergraduate students.

Math opens up all kinds of career opportunities, from engineering to business to teaching, and more. You can even learn how to design computer games, if you opt for the Certificate in Game Design and Development.

Math Drop-In Centre

You can participate in math competitions like the Kangaroo Contest or in student-organized events like Pi Day. If you’re interested in teaching, you can get involved in running math circles at local elementary schools. You can also tutor your fellow students—or get some help yourself, if you need it—at the Math Drop-In Centre.

NUMERIC

The Nipissing University Mathematics Education, Research, and Information Centre (NUMERIC) represents a group of educators from the Faculty of Arts and Science (Mathematics/Physics), the Faculty of Education (Mathematics), and the local community who share an interest in promoting the learning and appreciation of mathematics through a variety of sponsored events.

We are pleased to announce that Nipissing University is an Afilliate Member of The Fields Institute for Research in Mathematical Sciences. The Fields Institute, while focusing much of its attention on mathematics as a discipline, also features the Math Ed Forum which offers regular public meetings at Fields, as well as sponsoring a variety of mathematics education events and projects. 

Nipissing Computational Physics Laboratory (NCPL)

The general focus of the NCPL is to develop, implement and apply advanced numerical algorithms and computational methodologies for the solution of problems arising from nanophotonics for nanotechnology and nanomedicine applications. The NCPL is an advanced physics lab intended for junior and senior level students in science and engineering. We are primarily engaged with the design of algorithms for nanoscale and multiphysics problems described by 3D fully coupled partial differential equations. Our lab is equipped with high performance computational server and several workstations with multiple operating system environments, and running a number of computational and simulation programs including COMSOL Multiphysics, MATLAB, Maple, Mathematica, Numerical Recipes, the Electronic Workbench, and others.