Make sense of the mountain of data produced every day.

Today we’re inundated with information from sensors, digital images, streaming video, satellite and medical imagery, and more. In Data Science at Waterloo, you’ll learn to extract meaningful information from that tsunami of data and use it to predict future trends.

You’ll complement your core courses in statistics, mathematics, and computer science with a range of electives from many of Waterloo’s 100 subject areas. When you graduate, you’ll have the skills and knowledge to help governments and businesses make better decisions and smarter strategies.

When you graduate, you’ll be ready for a huge range of career options. Our grads are putting their skills to work in areas as diverse as medicine, business, advertising, entertainment, and public health.


Admissions

Apply to Computer Science or Mathematics and choose Data Science as your major at the end of first year. Once you've applied, you'll need to complete the Admission Information Form as part of the application process.

We strongly encourage you to participate in the Canadian Senior Mathematics Contest and/or the Euclid Mathematics Contest to enhance your admissions status. To be considered for entrance scholarships in the Faculty of Mathematics, you must write one or both of the contests. If you complete both contests, we'll use the results of the contest in which you performed best.



First-year courses

You may choose advanced stream courses for algebra, calculus, and computer science if you meet the requirements.

September to December

  • MATH 135 - Algebra
  • MATH 137 - Calculus 1
  • CS 135 - Designing Functional Programs
  • One communication skills course
  • One elective

January to April

  • MATH 136 - Linear Algebra 1
  • MATH 138 - Calculus 2
  • CS 136 - Algorithm Design and Data Abstraction
  • STAT 230 - Probability
  • One communication skills course
 

After first year

Most of your required courses will be in Statistics and Computer Science, along with additional foundational courses in Mathematics. You can choose electives from many of the 100 subject areas at Waterloo.

View a list of courses required for your degree

Sample upper-year courses

STAT 341 - Computational Statistics and Data Analysis
STAT 441 - Statistical Learning - Classification
STAT 442 - Data Visualization
STAT 444 - Statistical Learning - Function Estimation

 

Female student using laptop

In Data Science at Waterloo, you'll take courses in computing systems, data analytics, statistics, and machine learning as well as core mathematical subjects like algebra and calculus.


briefcaseAvailable as a co-op and regular program

Arrow pointing up and clickingApply to Computer Science or Mathematics and choose Data Science as your major

Graduation capEarn a Bachelor of Computer Science or Bachelor of Mathematics

 

Co-op = relevant paid work experience

By alternating school terms and paid co-op work terms throughout your degree, you can explore new career areas and types of employers as your career interests evolve.

Sample co-op job titles

  • Data scientist
  • Risk management intern
  • Developer
  • Software engineering intern
  • Reporting analyst
  • Project manager
  • Enterprise analyst
  • QA analyst

Sample co-op employers

  • Scotiabank
  • OpenText Corporation
  • SAP Canada Inc.
  • IBM Canada
  • TD Bank Group
  • Equitable Bank
  • Ford Motor Company of Canada Limited
  • Intelligent Mechatronic Systems Inc.
 

#1First faculty of mathematics in North America

math tieOffered by the Faculty of Mathematics

globeWaterloo is an international leader in mathematics

 

Customize your Data Science degree

You can add additional areas of expertise by including one or more of the minors available to all Waterloo students.


Win prizes — and glory

Show off your data-taming skills, impress potential employers, and win prizes at Waterloo’s annual datathon.

Study in a high-tech hub

Waterloo Region is home to more than 1,000 technology companies, including Google, OpenText, Shopify, KiK, and a host of startups.

 

Learn more about Data Science