Physics-Mathematics

An investment that works

By hiring a CO-OP student from the University of Ottawa, you invest in a winning combination! You get a motivated and enthusiastic employee while giving a student the chance to put his or her academic training to the test. The University of Ottawa is the place to recruit CO-OP students!

Only the top students are admitted to the program. Each one has achieved a cumulative grade point average of at least 6 out of 10 (a B average). Students begin their first work term after having completed two and a half years of study which gives them a strong academic background to help them succeed on the job. Students are available year-round.You may choose French-speaking, English-speaking or bilingual students. The sequence of work and study terms is shown below.

Skills that are in demand

CO-OP students in Physics-Mathematics specialize in one of three programs of study, physics, mathematical physics or computational physics. By the time they begin their first work term, they have successfully completed courses in

  • Mechanics
  • Electromagnetism
  • Quantum mechanics
  • Thermodynamics
  • Modern optics
  • Differential and integral calculus
  • Computing principles
  • Statistics
  • Probability
  • Algebraic structures
  • Logic
  • Discrete mathematics
  • Linear algebra

 

They have also acquired laboratory experience and are familiar with research techniques, scientific computing and data analysis and resolution. This training means interns will integrate quickly into your work environment, becoming a productive member of your team in no time.

 

Work/Study sequences

Sequence 1 - by default, all students follow this sequence

Year of StudyFallWinterSummer
1StudyStudy-
2StudyStudy-
3StudyWork 1Work 2
4StudyStudyWork 3
5Work 4Study-

Sequence 2 - available to students hired for 12-month terms with the same company

Year of StudyFallWinterSummer
1StudyStudy-
2StudyStudy-
3StudyWork 1Work 2
4Work 3StudyWork 4
5StudyStudy-
Examples of tasks at work
  • Complex pattern detection
  • Data analysis
  • Developing statistical models
  • Interpreting statistical data
  • Laboratory measurements
  • Mathematical modeling
  • Problem-solving
  • Scientific calculations
  • Technical writing
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