Statistics
The Department of Mathematics and Statistics at Dalhousie University offers majors in Mathematics, Statistics, and Actuarial Science, with opportunities for one-on-one learning in smaller classes taught by award-winning faculty. Complete your undergraduate degree as a major, or consider completing an honours or co-op degree and/or earning one or more certificates if certain courses are taken as part of the program.
Our courses are accredited by the Statistics Society of Canada, and students can apply to receive an Associate Statistician designation upon graduating.
Your major map: Statistics
The Statistics Major Map highlights academic and co-curricular opportunities and provides an overview of how students can optimize their degree. Students are encouraged to connect with advising supports at Dalhousie and use the Academic Calendar and Timetable to create their course plan.
Where your degree can take you
A BSc degree in Statistics provides great preparation for a variety of careers. Our undergraduate courses are approved by the accreditation committee of the Statistics Society of Canada, so that our graduates can apply for the Associate Statistician designation.
Statistics makes a great undergraduate degree with wide applicability and is an essential component of any program in the sciences or social sciences.
The skills and knowledge acquired through this program can be applied, but not limited to career paths in:
Finance, business management, commerce, engineering, government and policy, economics, computer science, science, manufacturing, public health, marketing, information technology, education, research, and science writing and journalism, among many more.
Core competencies gained
Discipline-related skills:
- Knowledge of various statistical theories, methods, and their applications
- Ability to apply abstract mathematical concepts to practical problems
- Ability to organize, analyze, interpret, present data, and extract knowledge from it to plan for the future and identify solutions to real-world topics
- Strong numeracy skills, and usage of various statistical software such as R, and other predictive modeling methods
Transferable skills:
- Academic writing and presentation skills
- Critical thinking and analytical skills
- Computer literacy
- Communication and interpersonal skills
- Time management
- Leadership and teamwork
- Basic statistical analyses
- Research skills
Possible careers and employment
Statistics Alumni can be employed within a variety of industries and have multiple career path options. These are influenced by the student's elective courses, experiential learning choices, and certificates. Some of the options below will typically require graduate-level training*, while some can be pursued following the completion of baccalaureate program only.
- Actuary*
- Accountant*
- Big data analyst
- Biostatistician
- Business metrics analyst
- Cryptographer
- Data analyst
- Data scientist*
- Database developper
- Economist*
- Financial analyst
- Logistics specialist
- Machine learning engineer*
- Market research analyst*
- Meteorological technician
- Operations researcher analyst*
- Survey researcher
- Statistician
- Teacher/professor*
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