12 Best Statistics in Canada for 2024

The Master of Data Analytics (MDA) program at the University of Niagara Falls Canada, is designed to prepare graduates for high-demand careers in data analysis. This 48-credit program can be completed in five 12-week terms, with an on-campus delivery option. The curriculum focuses on real-world applications, offering core training in the data science lifecycle and the choice of three learning tracks: Marketing Analytics, Operations Analytics and General Analytics.

Analytics is situated at the confluence of statistics, computer science, and mathematics all centered on finding, interpreting, and presenting meaningful patterns in data. We offer a Bachelor of Science in Analytics with specialization in either Data Analytics or Business Analytics, with co-operative education options available in both specializations.

Trent is one of the first universities in Canada to work to fill the training gap for professionals in data science. You will be uniquely prepared with the tools and techniques you require to work with and analyze today’s increasingly complex data sets in all areas of the sciences, as well as the business world. This professional program can be completed in 16 months and emphasizes practical skills in visualization, data mining, cloud-based approaches and parallel programming skills. Prepare for careers including Chief Data Officer, Data Scientist, Data Solutions Architect, Business Manager and Business Analyst.

The Master of Professional Studies in Analytics helps to meet the increasing demand from employers by teaching the competencies that define an analyst’s ability to demonstrate the application of the knowledge, skills, and dispositions through behavior that is directly related to performance goals: statistics/mathematics, analytics systems technology, business intelligence, advanced analytics, business process/ management, business analytics agility, communicating with data, and leadership/data governance, policy, and ethics. The Master of Professional Studies in Analytics program prepares students by applying the principles, tools, and methods of analytics to a project within a sponsoring organization to successfully assist with the extraction, development, delivery, and/or translation/implementation of data analysis for tactical and/or strategic decision making in organizations.

The main goal of this learning module is to discuss phase transitions and critical phenomena in statistical physics. We introduce the ideas of mean-field theory and renormalization group and exploit them to calculate the critical exponents for the Ising model. More advanced topics concern the models with continuous symmetry, topological phase transitions, as well as Monte Carlo simulations.

Focus on the theories and techniques of financial analysis as you prepare for a career in equity analysis, financial forecasting, investment banking, commercial banking, corporate planning, portfolio management, pension fund management and other opportunities in the financial sector. This professional program can be completed in as little as 12 months and involves the in-depth study of mathematical finance, portfolio and risk management, linear programming, financial econometrics, numerical methods and financial management.

Financial Mathematics is the application of mathematical models to finance, usually to analyze markets and pricing. Financial Mathematics uses techniques from mathematics, statistics, business, finance, and economics. The Bachelor of Science in Financial Mathematics provides a solid foundation in Financial Mathematics, leading either to a career in the financial sector or to further training in advanced Financial Mathematics.

Mathematics is a driving force behind many of today’s advancements in medicine, economics and business, and science and technology. As a Bachelor of Mathematics student, you can choose from a broad range of program options, such as actuarial science, mathematics, statistics, etc., according to your interests and career goals.

Mathematics and statistics play a fundamental role in our modern world and provide us with the tools for analyzing and solving problems in numerous fields. The Mathematics major in the BSc General Degree provides an overview of Mathematics and allows for customization and flexibility with courses and program direction.

The Specialization in Mathematics program allows you to concentrate their studies in mathematics to a greater extent than is possible under the General program. You will design your program in consultation with an advisor from the Department of Mathematical and Statistical Sciences; this flexibility allows you to combine the study of mathematics with the study of a related discipline such as Physics or Statistics.

Statistics involves collecting, analyzing, and interpreting data, and calls for strong mathematical skills and an interest in problem-solving. Statistics and statistical modelling are essential and in-demand skills that are used in many types of research and industries, from science and medicine to economics and finance.

Statistics involves collecting, analyzing, and interpreting data, and calls for strong mathematical skills and an interest in problem-solving. Statistics and statistical modelling are essential and in-demand skills that are used in many types of research and industries, from science and medicine to economics and finance.