Computational Physics (Microprogram)

For many years, physicists have used mathematics to describe how energy and matter shape our world. When complex problems require turning those descriptions into solutions, computation is often the answer.

As large-scale computational facilities and AI workflows become more commonplace in the modern workplace, having a strong understanding of how computers and algorithms work is increasingly important. Modern professionals must learn to think critically about these tools and determine which can be relied on in each situation.

The Microprogram in Computational Physics is an interdisciplinary credential designed to bridge the gap between theoretical science and practical software programming. This program equips learners with a quantitative scientific approach to problem-solving specific to science and engineering, while providing strong programming experience.

Students will develop key competencies in:

• Systematic quantitative approaches to science problems
• Knowledge of the strengths, limitations and appropriate-use cases of common computational tools and algorithms
• Programming skills and best practices in scientific computing, with a focus on Python

Who is this program for?

Interdisciplinary audience, including:

• Undergraduate students in other disciplines who specifically aim at increasing their scientific computing and programming competencies and experience in evaluating and using computational tools related to science and engineering
• Working professionals who need a stronger background in understanding when to employ a variety of computational tools, including AI-based tools
• Students taking the Certificate in Science Foundations who want to expand this experience into the computational/programming realm
• Independent students exploring if quantitative science is a good fit for them, while gaining some practical skills

The microprogram takes place over the course of two semesters. PHYS 236 is completed in the first term, and PHYS 440 is completed in the second term.

PHYS 236 is a prerequisite for PHYS 440, so they cannot be taken at the same time.

PHYS 236 Numerical Methods in Physics with Python

PHYS 440 Computational Methods in Physics with Python

Completing this microprogram will equip you with computational literacy and prepare you to critically evaluate and work with AI-based tools related to science and engineering. With the analytical skills of a physicist and the technical skills of a programmer, you will be prepared to pursue careers in:

• Biotechnology
• Climate science
• Data science
• Engineering
• Finance
• Pharmaceuticals

You will also be prepared to further your education in a Bachelor of Science program or graduate studies if you already have a bachelor's degree.

Science DEC or equivalent. It is recommended to complete prerequisites prior to enrolling, including:

• MATH 204, MATH 205
• PHYS 235, PHYS 335, PHYS 377

However, the PHYS prerequisites may be waived for students with a background in programming, science or engineering.

1. You’ll need a Concordia Netname to start an application. Create a Netname account.
2. Once you have a Netname, complete an application. Select “Undergraduate Microprogram” from the list to get started.
3. Include your supporting documents:
   • Curriculum vitae (cv);
   • Letter of intent explaining your motivations and knowledge
   • Proof of your status in Canada or your Quebec permanent code if you are a Canadian citizen or permanent resident that has previously studied in Quebec.
4. Have a valid credit card to pay the application fee of $40 CAD.
   Please note that we accept the following credit cards: Visa, MasterCard, American Express, Discover, JCB, Diners Club and UATP.

You may upload documents to your application even after submitting it. However, we cannot complete the assessment of your application until we receive all required documents.

For questions about the Microprogram in Computational Physics, please contact physics-advising@concordia.ca.