FULL-TIME | WINNIPEG LOCATIONS DATSF-DP Data Science and Machine Learning

Overview

This program is currently under development. Additional information will be added as it becomes available. Prospective students should continue to check this page for updates.

  • 20-month diploma program
  • August entry date
  • Innovation Centre/Exchange District Campus, Winnipeg
  • Mandatory Co-op work experience or industry project
  • Laptop delivery program
  • International applicants please visit Academic Program, Dates and Fees for a listing of programs for international students, current availability and online application instructions.

Description:
Recent advancements in computer hardware and machine learning algorithms have driven a rapid growth in the use of data science and machine learning across all economic sectors, with applications in robotics and automation, healthcare, finance, and government to name just a few. Because of this, there is now a huge demand for developers and data analysts with skills and experience in these fields.
In the Data Science and Machine Learning program, you will:

  • Study the fundamental concepts in mathematics and statistics that make these technologies possible.
  • Gain the skills to collect / organize data and use analytics to inform decisions.
  • Implement current machine learning algorithms to address common needs in industry.
  • Develop the skills to effectively communicate technical ideas with other developers as well as those without technical knowledge.
  • Experience working with industry to develop code for real applications in data science and machine learning.

Graduates leaving this program will be well prepared to immediately enter a career in this exciting, important and rapidly growing field.

Page produced on 2021-02-27 01:20:38
Red River College endeavours to provide the most current version of all program and course information on this website. Please be advised that classes may be scheduled between 8:00 a.m. and 10:00 p.m. The College reserves the right to modify or cancel any course, program, process, or procedure without notice or prejudice. Fees may change without notice.