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Mathematical Sciences for Quantitative Reasoning

49 days
7180 USD/full
7180 USD/full
Tuition fee
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This Mathematical Sciences for Quantitative Reasoning course from Columbia University offers foundational training in mathematical sciences, which provides the academic underpinning for quantitative reasoning skills that enable data-based decision-making in an applied context.


In our increasingly data-rich world, students and working professionals who possess quantitative reasoning skills are better prepared to succeed in their academic professional, civic, and personal lives. 

Whether you are preparing for graduate-level coursework in a STEM-based Master’s program or seeking to improve your competency for one of the many in-demand 21st century careers, the Mathematical Sciences for Quantitative Reasoning (MSQR) course from Columbia University is for you. 

By the end of the course, you will be able to:

  • Model statistical and financial concepts in Excel and VBA.
  • Readily explain statistical concepts such as maximum likelihood, hypothesis testing, linear regression and its assumptions, logistic regression and its construction.
  • Describe the quality of a classification model in terms of standard terminology such as sensitivity, specificity, accuracy, etc.
  • Use linear regression to model data and assess the quality of the fit.
  • Construct probability distributions and test hypotheses.
  • Use matrix algebra to model the states and variability of systems.
  • Price and model the volatility of financial assets.

Programme Structure

In This Course, You Will...
  • This course is designed for learners aiming to improve their quantitative reasoning skills by building their foundational knowledge in the mathematical sciences and applying that learning to real-world problems. 
  • It is ideal for learners aiming to prepare for graduate studies as well as for industry professionals wanting to apply new skills to their professional and personal lives. 
  • The course begins with topics in algebra, linear algebra (including matrices and vector spaces), and calculus (including functions, limits, derivatives, and integrals). Students will then learn about descriptive statistics, graphical and numerical summaries, probability, the theory of sampling distributions, linear regression, analysis of variance, confidence intervals, and hypothesis testing. 

Key information


  • Part-time
    • 49 days

Start dates & application deadlines



Academic requirements

We are not aware of any academic requirements for this programme.

Student insurance

Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:

  • Additional medical costs (i.e. dental)
  • Repatriation, if something happens to you or your family
  • Liability
  • Home contents and baggage
  • Accidents
  • Legal aid

We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.

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Start from €0.53/day, free cancellation any time.

Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Columbia University and/or in United States, please visit Student Insurance Portal.

Other requirements

General requirements

  • U.S. bachelor’s degree or international equivalent.
  • Students must be comfortable with rapid and idiomatic spoken English.
  • Demonstrated ability for critical thinking and analysis.
  • Strong written and oral communication skills.

Tuition Fee

To alway see correct tuition fees
  • International

    7180 USD/full
    Tuition Fee
    Based on the tuition of 7180 USD for the full programme during 49 days.
  • National

    7180 USD/full
    Tuition Fee
    Based on the tuition of 7180 USD for the full programme during 49 days.


Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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Mathematical Sciences for Quantitative Reasoning
Columbia University


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