Overview of Statistics
Statistics聽is motivated聽by the need to extract information from data, to quantify uncertainty, and to make predictions about random phenomena. To do this effectively, sophisticated mathematical and probabilistic techniques and computational tools聽are needed. Core areas of expertise include Bayesian inference, biostatistics, computational statistics, high-dimensional data modeling, multivariate analysis, and survival analysis.
Programs
Since Fall 2022, the聽Minor Statistics for Management has been retired. Students should refer to the minors offered under the聽Bachelor of Arts & Science. Students who have started the minor prior to Fall 2022, can continue with the old curriculum.
Careers & Mentors
惭别苍迟辞谤:听djivede.kelome [at] mcgill.ca (Professor Djivede Armel Kelome), Department of Mathematics and Statistics, Faculty of Science
With聽a聽degree in Statistics,聽you鈥檒l聽develop聽unique knowledge in calculating, analyzing,聽and presenting information.聽You can follow private聽or聽public聽sector paths, or continue the聽course聽in the graduate studies.听听
You could become a professional:聽
- 惭补迟丑别尘补迟颈肠颈补苍听
- Market Research Analyst聽
- Financial Analyst聽
- Operations Research Analyst聽
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