Carleton University - Faculty of Graduate Studies and Research

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Data Science (Collaborative) (MBA)

Carleton University - Faculty of Graduate Studies and Research

Field of Study:Computer and Information Sciences, Other
Data Modeling/Warehousing and Database Administration
Length:2 Year(s)
Cost per year:*
Provincial: $9,299
National: $9,761
Careers:Data Engineer


Data science is the next frontier of information technology but few universities offer programming in this area. Carleton’s new collaborative master’s in Data Science is geared at graduate students and high-tech professionals who are interested in understanding how to analyze and use ‘big data’ sets collected by governments, industry, NGOs etc. for purposes such as generating personal recommendations for online shopping, improving the efficiency of health care delivery or predicting national security threats.

Students will earn their degree in one of the academic disciplines listed below with a specialization in data science (or an MBA concentration in Business Analytics) through research or coursework that addresses a data science challenge. Working with its partners, Carleton University will become a national hub for data science research and training, educating a highly skilled workforce for local, national and international communities, and creating the next generation of IT leaders. Carleton’s location in Ottawa and long relationship with the city’s technology sector is positioned well to create a highly educated workforce of data science specialists.


Test Scores:
  • Test of English as a Foreign Language (Paper Based) [min. 580] or Canadian Academic English Language Assessment [min. 70] or Test of English as a Foreign Language (Internet Based) [min. 86] or International English Language Testing System (academic or immigration) [min. 6.5]
Additional Admission Requirements:
  • Letter(s) of Reference
Students who are enrolled in a master's program in one of the participating units may apply to the Data Science governance committee for admission to the Collaborative Program. Admission to the program is determined by the governance committee and will normally take place before the end of October the year of admittance in one of the participating master's programs.

Admission requirements to the Collaborative Master's with Specialization in Data Science are: registration in the master's program of one of the participating units; and approval of a student's program of study by the Data Science governance committee and the student's home department. Students in a thesis program will be expected to choose a thesis topic that is directly related to Data Science. Students in an approved course work program will be required to take some elective courses in designated or approved courses with significant Data Science content.

* We make every attempt to provide accurate information on prerequisites, programs, and tuition. However, this information is subject to change without notice and we highly recommend that you contact the school to confirm important information before applying.

Modified on September 02, 2022