Linear Algebra: A Bridge Course for Prospective Applied Statistics Students


This asynchronous online bridge course is specifically designed to help students satisfy the linear algebra admissions requirements for Michigan Tech's Online MS in Applied Statistics, an innovative degree in which students develop the versatile statistical toolkit required by in-demand data analysis experts.

This course is ideal for those who do not have the required college course work in linear algebra, but who still would like to apply to our online statistics program. Others wishing to improve their linear algebra skills are also welcome to take this course.

If you need advice on whether this course is right for you, please contact the instructor, Teresa Woods; or the Director of Graduate Enrollment Services, Jacque Smith.

Instructor: Teresa Woods

Delivery: Online

Duration: 10 weeks

Start Date: Monday, January 23, 2023

Total Costs & Fees: $795 (course) + $74.99 (MyLab Math fee) = $869.99

Registration: through MTU's The Techshop

Course Details

The Instructor

Teresa Woods, MS, has considerable experience in teaching as well as a passion for elementary linear algebra. She also has deep expertise and a rich history in designing and delivering online courses. Woods holds an MS in Mathematical Sciences and an MS in Education (with a focus on adult learning.)

Teresa Woods

  • Associate Teaching Professor, Mathematical Sciences
  • Assistant to the Chair, Mathematical Sciences

Next Steps and Registration 

  1. Click on the button below, which takes you to the Techshop storefront (an external site).
  2. Register and pay for the course on or before the course start: Monday, January 23, 2023.
  3. Access and review the Canvas course site, which will be published no later than Sunday, January 22, 2023.
  4. Receive instructions for purchasing the required course materials: MyLab Math. These instructions are located within Canvas. Your purchase, which can be made with a credit card or PayPal, will provide you with instant access to the materials.
  5. Start learning linear algebra for applied statistics!




"The essence of mathematics is not to make simple things complicated, but to make complicated things simple."Stan Gudder, Mathematician