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Faculty of Science
Department of Mathematical and Statistical Sciences
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Mathematical and statistical sciences, University of Alberta

Course Based Master of Science in Modeling, Data and Predictions

Are you good in Math or Stats? Are you aspiring for a data-science related career? The course based MDP program is designed to help you achieve your goals!
Admission Status
Open
Accepting applications for Fall 2025 Semester Start
Deadline for submissions is
March 31, 2025
Program Details
Faculty:
Science
Delivery Mode:
On Campus
Program Type:
Course Based
Program Duration:
16 months - Full time
Part time options available
Degree Level:
Master of Science

For Employers

Graduates from the University of Alberta’s Masters in Modeling, Data, and Predictions program possess invaluable expertise that empowers them to effectively utilize data, foster innovation, and make informed decisions. There are two ways your organization can benefit from MDP Students - internships and hiring. See how their skill set could greatly enhance your organizations success, or contact us to learn more.

How MDP students can help your business

Bring valuable skills and knowledge to your company, enabling you to leverage data effectively, drive innovation, and make smarter decisions that contribute to organizational success and competitiveness.

Advanced Analytical Skills

Employees with a Masters in Modeling, Data, and Statistics possess advanced analytical skills that enable them to analyze complex data sets effectively. They can extract valuable insights from large volumes of data, identify trends, patterns, and correlations, and make data-driven recommendations to improve business strategies and decision-making processes.

Predictive Modeling and Forecasting

With their expertise in statistical modeling techniques, such as regression analysis, time series analysis, and machine learning algorithms, these employees can develop predictive models to forecast future trends, behaviors, and outcomes. This ability is invaluable for businesses in various sectors, helping them anticipate market changes, customer preferences, and demand fluctuations, thus enabling proactive planning and resource allocation.

Optimization of Processes and Performance

Masters graduates in this field are adept at optimization techniques, including mathematical programming, simulation, and stochastic modeling. By applying these methods, they can identify inefficiencies in business processes, supply chains, or resource utilization and suggest optimizations to enhance productivity, reduce costs, and improve overall performance.

Risk Management and Decision Support

In today's competitive and uncertain business environment, effective risk management is crucial for companies to safeguard their interests and seize opportunities. Employees with expertise in data and statistical analysis can contribute significantly to risk assessment and mitigation strategies. They can develop risk models, conduct scenario analyses, and provide decision support tools that help businesses make informed choices, manage uncertainties, and minimize potential losses.