Curriculum and Career preparation Statistics Program Curriculum and Career preparation

Overview of Statistics program Statistics is a fast-evolving discipline with many exciting new directions: Sampling survey and experimental design Biostatistics and bioinformatics Machine learning and data science Business analytics and risk modelling Marketing research and social media data mining

Our undergraduate curriculum Mathematics Modules 1. Calculus I MATH 1300 Differential Calculus with Applications 2. Calculus II MATH 1310 Integral Calculus with Applications MATH 2310 Calculus of Several Variables with Applications 3. Linear Algebra MATH 1021 Linear Algebra I MATH 2022 Linear Algebra II

  Statistics and probability modules 4. Mathematical statistics MATH 3131 Mathematical Statistics I MATH 3132 Mathematical Statistics II 5.Linear Regression MATH 3330 Regression Analysis 6. Design of Experiment MATH 4730 MATH 4730 Experimental Design MATH 3430 Sample Survey Design or MATH 4731 Sampling: Design and Analysis 7. Survey Sampling MATH 3430 MATH 4731

Statistics elective courses MATH 3280 Actuarial Mathematics MATH 4830 Time Series and Spectral Analysis MATH 4931 Simulation and the Monte Carlo Method MATH 4034 Data Mining MATH 4130K/MATH 6641 Survival Analysis MATH 4130B/MATH 6633 Topics in Probability and Statistics (Introduction to the Theory and Methods of Time Series Analysis) MATH 4230/MATH 6634 Nonparametric Methods in Statistics MATH 4280 Risk Theory — Loss Models and Risk Measures MATH 4281 Risk Theory — Ruin and Credibility MATH 4330 Applied Categorical Data Analysis MATH 4630/MATH 6632 Applied Multivariate Statistical Analysis MATH 4430/MATH 6602 Stochastic Processes MATH 4930A Topics in Applied Statistics: Statistical Quality Control

Computational skills MATH 4939 Statistical Data Analysis Using SAS and R Math/CSE 1560: Introduction to Computing for Mathematics and Statistics

Summary of our curriculum Balanced curriculum on both theory and applications Rigorous trainings in mathematical statistics Wide selection of applied courses on new emerging areas and directions Comprehensive training on statistical software including SAS and R Project based capstone course offer practicum experience

Degrees offered Statistics BA and BA (Honours) Statistics Bsc and Bsc (Honours)

Why study statistics (Info from thisisstatistics.org) Statistical analysis and data mining were listed among the “hottest skills of 2014” by LinkedIn. The McKinsey Global Institute predicts a shortage of up to 190,000 people with the skills needed to run Big Data projects. Fortune magazine ranked statistics and mathematics among the top graduate degrees based on salary, growth and job satisfaction.

Types of employment (Info from thisisstatistics.org) Ecology and the Environment: Conducting analyses that lead to better management of the earth’s natural resources. Business and Finance: Helping industry improve efficiency in business processes; working with banks to identify risk and opportunity. Politics and Government: Improving voter targeting and assessing the success of government policies and programs. Sports: Working with professional or college sports teams using statistics to inform draft picks for the most competitive players. Medicine and Health: Helping medical researchers understand the prevalence of disease among various populations. Data Science: Contributing to advancements in the computing industry through machine learning, speech recognition and artificial intelligence.

Where are Our alumni? Government agencies including Statistics Canada, Ontario Health Agency, etc. Pharmaceutical companies, hospitals and CRO consulting firms. Financial industries including major banks and credit card companies. Academia. Entrepreneurs.

Some Career preparation Our department hosts annual Statistics Canada Recruitment Information Session in September Upon graduation, seek for National Associate Statistician or Professional Statistician Accreditation Participate in projects to gain practical experience and Obtain certificates from SAS institute