Mathematical model courses can help you learn statistical analysis, optimization techniques, differential equations, and simulation methods. You can build skills in data interpretation, problem-solving, and applying quantitative reasoning to real-world situations. Many courses introduce tools like MATLAB, R, and Python, that support creating and analyzing models, enabling you to visualize complex data and derive meaningful insights.

University of London
Skills you'll gain: Computational Logic, Combinatorics, Algorithms, Computational Thinking, Probability & Statistics, Applied Mathematics, Logical Reasoning, Data Analysis, Advanced Mathematics, Linear Algebra, Theoretical Computer Science, General Mathematics, Computer Science, Mathematical Modeling, Programming Principles, Business Mathematics, Business Logic, Algebra, Arithmetic, Problem Solving
Beginner · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Calculus, Applied Mathematics, Data Modeling, Estimation, Graphing, Mathematical Modeling, Numerical Analysis, Algebra, Mathematical Software, Engineering Calculations, Linear Algebra, Trigonometry, Operations Research, Data Analysis, Graphical Tools, Derivatives, Mathematical Theory & Analysis, Geometry
Intermediate · Specialization · 3 - 6 Months

Birla Institute of Technology & Science, Pilani
Skills you'll gain: Data Analysis, Computational Logic, Engineering Calculations, Trigonometry, Linear Algebra, Engineering Analysis, Logical Reasoning, Deductive Reasoning, Probability & Statistics, Statistical Analysis, Calculus, Analytical Skills, Bayesian Statistics, Differential Equations, Programming Principles, Statistical Inference, Theoretical Computer Science, Numerical Analysis, Descriptive Analytics, Applied Mathematics
Beginner · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Analytical Skills, Statistics, Systems Of Measurement, Correlation Analysis, Regression Analysis
Beginner · Course · 1 - 4 Weeks
University of Colorado Boulder
Skills you'll gain: Computational Logic, Systems Design, Verification And Validation, Systems Analysis, Software Systems, Theoretical Computer Science, Computational Thinking, System Design and Implementation, Simulations, Programming Principles, Software Architecture, Software Design, Model Evaluation, Graph Theory, Pseudocode, Software Testing, Hardware Architecture, Software Quality Assurance, Computer Architecture, Logical Reasoning
Beginner · Specialization · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Data Preprocessing, Machine Learning, Machine Learning Methods
Intermediate · Specialization · 1 - 3 Months

Imperial College London
Skills you'll gain: Epidemiology, Mathematical Modeling, Statistical Modeling, Simulations, Risk Modeling, Infectious Diseases, Public Health, Model Evaluation, Predictive Modeling, R Programming, Differential Equations, Data Modeling, Statistical Methods, Probability Distribution
Intermediate · Specialization · 1 - 3 Months

University of London
Skills you'll gain: Combinatorics, Probability & Statistics, Data Analysis, Advanced Mathematics, Linear Algebra, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics, Statistics, Analysis, Statistical Analysis, Probability, Algorithms, Algebra
Beginner · Course · 1 - 4 Weeks
University of Pennsylvania
Skills you'll gain: Risk Management, Business Modeling, Mathematical Modeling, Data-Driven Decision-Making, Portfolio Management, Forecasting, Regression Analysis, Financial Modeling, Statistical Modeling, Risk Analysis, Predictive Modeling, Presentations, Spreadsheet Software, Microsoft PowerPoint, Investment Management, Financial Statements, Data Modeling, Quantitative Research, Business Analytics, Microsoft Excel
Beginner · Specialization · 3 - 6 Months

University of London
Skills you'll gain: Theoretical Computer Science, Computational Logic, Programming Principles, Computer Science, Algorithms, Computational Thinking, Database Theory, Mathematical Modeling, Data Structures, General Mathematics, Applied Mathematics, Business Mathematics, Advanced Mathematics, Logical Reasoning, Problem Solving
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Calculus, Integral Calculus, Numerical Analysis, Advanced Mathematics, Mathematical Theory & Analysis, Data Integration, Mathematical Modeling, Data Analysis, Vector Databases, Probability, Geometry, Applied Mathematics, Mechanics, Engineering Calculations, Spatial Data Analysis, Derivatives, Physics
Intermediate · Specialization · 3 - 6 Months

University of Huddersfield
Skills you'll gain: Calculus, Advanced Mathematics, Differential Equations, Applied Mathematics, Integral Calculus, Logical Reasoning, Engineering Calculations, Mathematics and Mathematical Modeling, Numerical Analysis, Mathematical Theory & Analysis, Mathematical Modeling, Analytical Skills, Engineering Analysis, Derivatives
Intermediate · Course · 1 - 4 Weeks
Careers related to mathematical modeling are diverse and can be found in various sectors. Potential job titles include data analyst, operations research analyst, quantitative analyst, financial modeler, and research scientist. These roles often involve using mathematical models to solve problems, optimize processes, or predict outcomes, making them essential in industries such as finance, healthcare, technology, and academia.
Some of the best online courses for learning mathematical modeling include the Precalculus: Mathematical Modeling course, which introduces fundamental concepts, and the Mathematical Foundations for Data Science and Analytics Specialization, which covers essential mathematical principles for data analysis. These courses provide a structured approach to understanding and applying mathematical models.
Typical topics covered in mathematical modeling courses include the formulation of mathematical models, analysis of model behavior, optimization techniques, and applications in various fields. Students may also learn about statistical methods, simulation techniques, and the use of software tools for modeling and analysis, which are essential for practical applications.
For training and upskilling employees in mathematical modeling, courses like the Mathematical Biostatistics Boot Camp 1 and Pricing Options with Mathematical Models can be particularly beneficial. These courses provide practical insights and skills that can be directly applied in the workplace, enhancing the workforce's ability to tackle complex problems using mathematical approaches.