MSc Business Analytics and Technology Management
Program structure
John Molson’s research-based Masters allow students to produce the kind of research that is becoming increasingly necessary in public and private organizations or that leads toward advanced graduate business studies. Experiential opportunities are also available to adequately prepare our Master’s candidates for the job market.
Program structure
This Master of Science is a 45-credit applied research program consisting of both course work (seminars) and a thesis. Full-time students can complete the program in two years, while part-time students can complete it in three to four years. International students must pursue studies on a full-time basis. Most course work is completed in the first half of the program, while the thesis is completed in the second half.
Canadian citizens and Permanent residents who wish to study part-time should understand that:
- some classes may only be offered in the Fall or Winter terms. There are no courses offered during the summer. and;
- some classes may only be offered in the morning or afternoon. Students who wish to work while studying should reach an arrangement with their employer about the potential need for a flexible work schedule.
YEAR 1
Fall
Five core courses (12 credits):
- MSCA 602: Applied Linear Statistical Model (3 credits)
- MSCA 615: Research Methodology - Administrative Sciences (3 credits)
- MSCA 655: Professional Development (0 credit)
- MSCA 680: Foundations of Business Technology Management (3 credits)
- MSCA 681: Foundations of Data Mining (3 credits)
Winter
Four MSc elective courses / seminars (12 credits):
Each year a selection of specialized seminars will be offered on a rotating basis from those listed below. Upon approval of the Graduate Program Director and the instructor, up to six credits of electives may include seminars in any other John Molson MSc program, PhD seminars of relevance to the program of study; and cognate graduate seminars offered by other departments within the university.
Please refer to the list below.
Summer
Preliminary thesis work
*List of electives / specialized seminars
- MSCA 683: Applied Multivariate Data Analysis (3 credits)
- MSCA 686: Competitive Advantage through Information Technology (3 credits)
- MSCA 690: Data Management (3 credits)
- MSCA 691: Advanced Data Mining (3 credits)
- MSCA 693: Seminar in Special Topics in Decision Sciences and Management Information Systems (3 credits)
- MSCA 693A: Digital Innovation: Theory & Practice (New!) (3 credits)
- MSCA 697: Advanced Topics in Information Systems Development (3 credits)
YEAR 2
Fall
Thesis proposal
- MSCA 694 - Thesis Proposal (3 credits)
Thesis work
- MSCA 695 Research Thesis (18 credits)
Winter
Thesis work
- MSCA 695 Research Thesis (continued)
Summer
Thesis defence
Please note that a French translation of the curriculum is available upon request at gradadvisor.jmsb@concordia.ca.
