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Queen's School of Computing

Data Analytics

For information about other Data Analytics courses (especially for those outside of Computing), see here.

Data analytics is a new way of understanding complex systems by building computational models that are consistent with the observed data about those systems. It is a critical component of the operation of businesses and governments, as well as an important research tool. Data analytics is used for applications such as understanding customers, making effective investment decisions, recommending shows on platforms like Netflix, detecting cyber-intrusions or financial fraud, and much more.

Degree Outline

What follows is a list of the required unit credits for the Data Analytics program. This is a Computing Major stream and can be taken with a Minor in another subject. This information is meant as a guide and is subject to change. The precise and up-to-date requirements for Computing degree plans can be found online in the Arts and Science Calendar. In case of discrepancies, the calendar should be considered as the official definition.

Typical 4-years honours programs consist of 120 unit credits. A one-term course is worth 3 units, while a full year (two-term) course is worth 6 units. All courses listed below are 3 units unless specified with a /6.0 after the course code.

Computing Prerequisite Chart
Prerequisite Chart
  • CISC 121Introduction to Computing Science I
  • CISC 124Introduction to Computing Science II
  • One of the following Linear Algebra options:
    1. MATH 112Linear Algebra
      and
      CISC 102Discrete Mathematics for Computing Science I
    2. MATH 111/6.0Linear Algebra
      and
      CISC 102Discrete Mathematics for Computing Science I
    3. MATH 110/6.0Linear Algebra
  • One of the following Calculus options:
    1. MATH 120/6.0Differential and Integral Calculus
    2. MATH 121/6.0Differential and Integral Calculus
    3. MATH 123Differential and Integral Calculus I
      and
      MATH 124Differential and Integral Calculus II
  • CISC 203Discrete Mathematics for Computing Science II
  • CISC 204Logic for Computing Science
  • CISC 221Computer Architecture
  • CISC 223Software Specifications
  • CISC 235Information Structures
  • CISC 271Scientific Computing
  • STAT 263Introduction to Statistics
  • One of the following 2 courses:
    • CISC 322Software Architecture
    • CISC 326Game Architecture
  • CISC 360Programming Paradigms
  • CISC 371Nonlinear Optimization
  • CISC 372Advanced Data Analytics
  • CISC 451Topics in Data Analytics
  • CISC 452Neural Networks and Generic Algorithms
  • CISC 473Deep Learning
  • CISC 497Social, Ethical and Legal Issues in Computing
  • One of the following 2 courses:
    • CISC 499Advanced Undergraduate Project
    • CISC 500Advanced Research Project

Admission Requirements

Admission to a degree program in the Faculty of Arts and Science from an Ontario Secondary School is based on the completion of the Ontario Secondary School Diploma (OSSD). Please see Admissions for details.

How to Apply

Apply at the Ontario Universities Application Centre using the program code QD (Queen's University, Computing).

Upon completion of second year, students must declare that they are entering a Computing Major, but will not need to specify Data Analytics.

More Info

More information may be obtained by sending mail to undergrad@cs.queensu.ca or by contacting the Data Analytics advisor: