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Becoming a Golden Hawk means more than just cheering on our (really good) varsity teams – it means being a student who cares about your community, who works hard in the classroom, and who takes advantage of all the learning opportunities that can happen outside the classroom, too.


Data Science (BSc)


 milton | Also available in waterloo

Note: This program is pending approvals.

Data-driven decision making has become an industry standard, creating unprecedented demand for data-oriented professionals to analyze patterns and models for all kinds of data, with applications ranging from scientific discovery to business intelligence and analytics.

The first undergraduate degree of its kind in Canada, our Bachelor of Science (BSc) in Data Science addresses the data-related needs of modern business industries.


Program Highlights

  • There is a large demand for the skills learned in the program: IBM has indicated that 71% of financial institutions report that having data science as part of their business makes them more competitive.
  • In 2017, IBM indicated that demand for data scientists will soar 28% by 2020.
  • Small class and lab sizes, which gives you more opportunity to work directly with your professors.
  • This is a multidisciplinary program that offers broad-based knowledge and learning.

Sample Courses

  • Data Analytics
  • Computational Statistics
  • Applied Probability
  • Machine Learning
  • Statistical Learning
  • Data Mining
  • Data Visualisation

Requirements

  • Minimum admission range of low 80s.
  • Competitive admission range of high 80s.
  • English at 70%.
  • Advanced Functions at 80%.
  • Calculus & Vectors at 80%.

International Baccalaureate Requirements

  • HL or SL English at 4.
  • HL or SL Mathematics at 5.
  • IB minimum score: 29.

Find equivalent requirements for additional curriculums in the admissions toolkits

Design Your Degree

These are a few popular academic opportunities that allow you to dive deeper into your major area of study or broaden your knowledge:

  • Concentration in Statistical Analysis

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