Master of Data Science (MDS)

Full Time

Master of Data Science (MDS)

University of Guelph
  • $ See Details
    1st year fees
  • Unkown
  • Campus
  • Masters
  • 1 year


Master of Data Science (MDS) is a 1 year Masters program taught at University of Guelph, . The program is offered in campus-based modes with full Time options. To successfully obtain Master of Data Science (MDS) from University of Guelph you are required to complete credit hours. After completion of Master of Data Science (MDS) you will be able to further continue for advance studies or start career as Data Scientist, Data Science Developer, Data Science Consultant, Data Analyst.

The need for qualified, well-trained data science professionals spans virtually every industry. The Master of Data Science program prepares students for careers in data science by providing a diverse and comprehensive understanding of core data science skills through an ethical lens with a focus on spatial-temporal data.

Admission Requirements

The minimum requirements for admission in Master of Data Science (MDS) at University of Guelph for all applicants (Domestic or International) are:

  • program specific academic requirment set by University of Guelph.
  • English Language OR any other language requirments as set by University of Guelph as pre-requiste for admission in Master of Data Science (MDS).

Note: Please check the university website in the link below.

Honour’s Bachelor’s degree or equivalent from an accredited institution with a minimum average of 70% (B-) in the last four semesters of study with:

■ A major or minor in data science, computer science, mathematics, statistics, or a related field; or

■ Working knowledge of statistics and computer programming demonstrated through completion of university or college level degree credit courses equivalent to the following U of G courses: STAT*3240 and CIS*2500.

Courses Units

You need to complete credit hours to successfully obtain this degree. Please check detail of study units at

More Information

Full-time students will complete the program in three semesters (12 months), while part-time students can expect to complete this course-based master’s program in 4-6 semesters, allowing students greater flexibility during their degree. In keeping with market demand, the program offers a unique emphasis on spatial-temporal data to support businesses’ need for data collected over time and across geographic regions.

Career Opportunities

popular courses