Students
Tuition Fee
Not Available
Start Date
2026-09-02
Medium of studying
Not Available
Duration
45 hours
Details
Program Details
Degree
Courses
Major
Information Technology
Area of study
Business and Administration | Information and Communication Technologies
Course Language
English
Intakes
Program start dateApplication deadline
2025-09-02-
2026-01-05-
2026-09-02-
2027-01-05-
2027-09-02-
About Program

Program Overview


Technology Business Strategy and Execution - CMPT 2150

Course Description

Students will learn how technology is used by businesses to achieve a competitive market position. This course covers strategic business theory and the major business decisions that go into executing a technology-based strategy. Students will learn to use business strategy to conceptualize competitive business solutions that leverage advanced technologies, including artificial intelligence, and analyze competitive situations.


Course Details

Course Code

CMPT2150


Credits

3


Format and Length

  • Lecture: 45 hours

Prerequisites

  • A minimum grade of C in BUSD 1201
  • Restricted to Machine Learning Analyst

Delivery Methods

  • In person
  • Hyflex

This course is delivered in a classroom setting with face-to-face instruction at regularly scheduled times.


Term and Schedule

Edmonton

  • Fall: Sep. 2 - Dec. 12, 2025
    • Tue: 02:00 - 03:30 pm
    • Fri: 12:30 - 02:00 pm
    • Class: 40384
    • Section: A02
    • Open Studies: No
  • Winter: Jan. 5 - Apr. 17, 2026
    • Wed, Fri: 11:00 am - 12:30 pm
    • Class: 10330
    • Section: A01
    • Open Studies: No

Attendance Options

For each course session or class time, you can choose to attend in person, online in real-time, or watch a previously recorded session.


Edmonton

  • Fall: Sep. 2 - Dec. 12, 2025
    • Tue: 02:00 - 03:30 pm
    • Fri: 12:30 - 02:00 pm
    • Class: 40385
    • Section: H02
    • Open Studies: No
  • Winter: Jan. 5 - Apr. 17, 2026
    • Wed, Fri: 11:00 am - 12:30 pm
    • Class: 10331
    • Section: H01
    • Open Studies: No

Program Application

To take this course, apply to our Machine Learning Analyst program. Read our application guide and apply now.


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