Statistics (BSc)(BA)
Apply statistical methods to real-world problems.Ìý
Why choose this program?
Studying statistics at pilipiliÂþ» will open a window to understanding the world. You’ll have access to a well-rounded set of courses that will help you build a solid scientific base.
We’ll teach you how to apply data to research, and you'll have opportunities to work on special projects and write code that can run powerful statistical software right from your laptop.
Admission requirements
Minimum admission requirements
To be considered for admission to this program, you must meet minimum academic criteria:
- Completion of secondary school (Grade 12)
- Achievement of the minimum average for your program of choice.
- Completion of Grade 12 English (or equivalent course).
Admission to many Dalhousie programs is competitive. This means that meeting minimum requirements does not guarantee admission.
Program-specific admission requirements
Minimum overall average: 75%
Academic English 12
Pre-calculus Math 12
Three additional academic subjects
Financial information
A university education is a significant financial investment. Every student is unique, and so are their financial circumstances. We offer competitive tuition, a robust scholarship and bursary program, and resources and support to help you explore financial options and develop a plan that works for you.Ìý
Program options
Dal Science offers a host of opportunities for you to explore interests and customize your degree. Whether you decide to enroll in the Integrated Science Program, get an honours degree, or pursue a combination of disciplines, our team of advisors will help you figure out how to tailor your degree to fit you perfectly.
From summer research awards, internships, working as a teaching assistant, or getting involved with SuperNOVA summer camps, there are many ways to gain hands-on experience during your degree. The co-op option gives you real-world, paid experience in your field while making the connections you need to kick start your career.
The following Statistics program options are offered by pilipiliÂþ»â€™s Faculty of Science. Connect with an academic advisor after you start your studies to explore options such as:  
Concentrated Honours Bachelor of Science or Bachelor of Arts in Statistics
Combined Honours Bachelor of Science or Bachelor of Arts in Statistics
Bachelor of Science or Bachelor of Arts with Major in Statistic
Bachelor of Science or Bachelor of Arts with Double Major in StatisticsÌý
Minor in Statistics
What you will learn
Statistics is the science of structuring, explaining and processing data into something understandable. It doesn’t matter if you want to design computer games, study the safety of nuclear power plants, or conduct political polls; scientists of all kinds work with numbers to measure and explore the world.
Sample courses may include:
Introductory Statistics for Science and Health Sciences
Writing for the Sciences
Integrated Science I
Introduction to Probability and Statistics
Statistical Methods for Data Analysis and Inference
Introduction to Mathematical Modelling I
Statistical Rethinking: Applied Bayesian Statistics
Regression and Analysis of Variance
Probability
Advanced Statistical Theory I
Stochastic Processes
Applied Multivariate Analysis
Our undergraduate courses are accredited by the Statistics Society of Canada, which means you can receive an Associate Statistician designation. At the advanced level, we cross-list our fourth-year courses with graduate courses, so you can study alongside our graduate students.
Careers
With a BSc in Statistics, you can find a position in any number of exciting industries. You can apply to receive the title of Associate Statistician (A.Stat.), a designation that is required for most entry level positions in the field.
If you’ve completed an honours degree in statistics, a Master of Science (MSc) in statistics is a natural next step. It offers you the ability to focus and undertake a serious research project on your own. You may also choose to pursue graduate studies in an interdisciplinary field such as finance, bioinformatics or environmental science.
