Master of Computer Science (MCSc)

Full Time

Master of Computer Science (MCSc)

Dalhousie University
  • $ See Details
    1st year fees
  • Unkown
    CREDITS
  • Campus
    BASED
  • Masters
    DEGREE
  • 2 years
    DURATION

Introduction

Master of Computer Science (MCSc) is a 2 years Masters program taught at Dalhousie University, . The program is offered in campus-based modes with full Time options. To successfully obtain Master of Computer Science (MCSc) from Dalhousie University you are required to complete credit hours. After completion of Master of Computer Science (MCSc) you will be able to further continue for advance studies or start career as Computer Engineer, Computer vision Engineer, Computer and Information Research Scientists, Computer Systems Analysts, Computational Biologist, Computer Systems Engineer, Computer System Administrator.

Admission Requirements

The minimum requirements for admission in Master of Computer Science (MCSc) at Dalhousie University for all applicants (Domestic or International) are:

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

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

Students who have an undergraduate degree in computer science and a GPA of A- or better, may be accepted into the MCS program.  

Courses Units

You need to complete credit hours to successfully obtain this degree. Please check detail of study units at https://www.dal.ca/academics/programs/graduate/computer-science/program-details/master-program0.html

More Information

Graduate students are a vital part of the extensive research conducted in the Faculty of Computer Science. Many of our faculty members are also engaged in industry-related, funded research at the national and international level. Research here is extensive and varied. 

As a master's student here, you'll have many opportunities to become involved with the investigation and the development of new knowledge.

Our Faculty's research concentrations include big data analytics & machine learning, systems & networks, and human-computer interaction & visualization. 

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