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Program Minors
Each student selects minor areas of study in consultation with their advisors and with the Doctoral Program Director. Students are usually advised to select minors which underlie the major field or are from functional areas of business complementary to the chosen major. Some typical major-minor combinations are as follows.
- Accounting major with minors in two of: research methods, economics, sociology, finance, organizational analysis, judgment/decision-making, computing science.
- Finance major with minors in two of: statistics, economics, accounting.
- Operations and Information Systems major with minors in two of: statistics, computer science, mathematics, economics, finance, marketing, accounting, management information systems, organizational analysis, human resources management and industrial relations, engineering management/industrial engineering.
- Marketing major with minors in two of: statistics, research methods, economics, judgment/decision-making, geography, computing science, organizational analysis.
- Stratetic Management and Organization major with minors in two of: research methods and a minimum of four elective courses in a relevant discipline.
Some minors are well-defined (e.g. economics and finance) and others are defined for each student (e.g. geography, mathematics, political science, anthropology, psychology, judgment/decision-making, and research methods).
Statistics
All students, regardless of major area, will choose a research methodology minor. The elective courses available are sufficiently diverse that students from differing majors may select courses that are most appropriate to their majors. Statistics is a minor area that complements several major areas and is considered a necessity for empirically based research.
The Alberta School offers a two-term course sequence (MGTSC 705, Multivariate Data Analysis I, and MGTSC 706, Multivariate Data Analysis II), which most PhD students take. The Alberta School also offers a courrse in qualitative research methods (BUS 701) and is planning to introduce a course in philosophy of research and experimental methods. In addition, a wide range of other statistics and research design courses are available in other Faculties. Students choose from these according to their research needs and goals.