Queen's School of Computing

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 121 Introduction to Computing Science I
  • CISC 124 Introduction to Computing Science II
  • One of the following Linear Algebra options:
    1. MATH 112 Linear Algebra
      CISC 102 Discrete Mathematics for Computing Science I
    2. MATH 111/6.0 Linear Algebra
      CISC 102 Discrete Mathematics for Computing Science I
    3. MATH 110/6.0 Linear Algebra
  • One of the following Calculus options:
    1. MATH 120/6.0 Differential and Integral Calculus
    2. MATH 121/6.0 Differential and Integral Calculus
    3. MATH 123 Differential and Integral Calculus I
      MATH 124 Differential and Integral Calculus II
  • CISC 203 Discrete Mathematics for Computing Science II
  • CISC 204 Logic for Computing Science
  • CISC 221 Computer Architecture
  • CISC 223 Software Specifications
  • CISC 235 Information Structures
  • CISC 271 Linear Data Analytics
  • STAT 263 Introduction to Statistics
    or another Statistics course option (see calendar for complete list).
  • CISC 324 Operating Systems
  • One of the following 2 courses:
    • CISC 322 Software Architecture
    • CISC 326 Game Architecture
  • CISC 360 Programming Paradigms
  • CISC 365 Algorithms I
  • CISC 371 Nonlinear Optimization
  • CISC 372 Advanced Data Analytics
  • CISC 451 Topics in Data Analytics
  • CISC 452 Neural Networks and Generic Algorithms
  • CISC 473 Deep Learning
  • CISC 497 Social, Ethical and Legal Issues in Computing
  • One of the following project courses:
    • CISC 499 Advanced Undergraduate Project
    • CISC 500/6.0 Advanced Research Project
    • CISC 496 Game Development 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:

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