Pursuing a Diploma in Business and Financial Modeling is the perfect way to take your career to the next level. This program is designed to equip you with the skills and knowledge needed to excel in today's fast-paced and ever-changing business landscape. With a focus on real-world applications, you will learn how to create sophisticated financial models, analyze market trends, and make informed decisions to drive business success. Our program is taught by experienced industry professionals who are dedicated to helping you reach your full potential. By enrolling in this program, you will have the opportunity to network with a diverse group of peers, gain hands-on experience, and receive personalized attention and support from our knowledgeable instructors. Whether you are looking to advance in your current role, switch careers, or start your own business, a Post-Graduate Certificate in Business and Financial Modeling is the perfect place to start. So why wait? Take the first step towards a bright and successful future and enroll in our program today! Sample Certificate

Semester 1: Fundamentals of Quantitative Modeling Introduction to models 11 topics Edcent survey Course Introduction Definition and Uses of Models, Common Functions How Models Are Used in Practice Key Steps in the Modeling Process A Vocabulary for Modeling Breakout Exercise: Meet and engage other students Mathematical Functions Summary Quiz: Introduction to Models Reading: PDF of Lecture Slides Linear models and optimization 8 topics Introduction to Linear Models and Optimization Growth in Discrete Time Constant Proportionate Growth Optimization Discussion forum Summary Quiz: Linear Models and Optimization Reading: PDF of Lecture Slides Probabilistic models 15 topics Introduction to Probabilistic Models Examples of Probabilistic Models Regression Models Probability Trees Monte Carlo Simulations Markov Chain Models Building Blocks of Probability Models Discussion prompt: Share your thoughts The Bernoulli Distribution The Binomial Distribution The Normal Distribution The Empirical Rule Summary Quiz: Probabilistic Models Reading: PDF of Lecture Slides Regression models 10 topics Introduction to Regression Model Use of Regression Models Interpretation of Regression Coefficients R-squared and Root Mean Squared Error (RMSE) Breakout Exercise: Meet and engage other students Fitting Curves to Data Multiple Regression Logistic Regression Summary of Regression Models Quiz: Regression Models Semester 2: Introduction to Spreadsheets and Models Spreadsheet: A tool for thinking with number 11 topics Edcent survey Objectives and a Little Spreadsheet History Navigating a spreadsheet and crafting formulas Using functions Using conditional expressions in formulas Common errors in spreadsheets Differences between Sheets and Excel Quiz: History, Formulas, Functions and Errors Discussion prompt: Share your thoughts Course resources: PDF of Module 1 Lecture Slides Course Resources: Module 1 examples Spreadsheet to model 10 topics Module Introduction Using assumptions and decision variables in spread Structuring a spreadsheet to model variables Breakout Exercise: Meet and engage other students Constructing simple cashflow model What-if analysis and sensitivity analysis Limits to simple, deterministic models Quiz: Classic Models Course resources: PDF of Module 2 Lecture Slides Course resources: Module 2 examples Addressing uncertainty and probability in models 11 steps Introduction Random variables and probability distributions Changes in discrete and continuous time Discussion forum Power, exponential, and log functions Probability trees and decision trees Correlation and Regression Quiz: Probability, Correlation, and Regression Course resources: PDF of Module 3 Lecture Slides Course resources: Module 3 examples Reading: on exponential and other functions Simulation and optimization 9 steps Introduction Monte Carlo Simulations Breakout Exercise: Meet and engage other students Linear Programming Next Steps, Differences between Excel and Sheets Quiz: Simulations, Scenarios, and Optimization Course resources: PDF of Module 4 Lecture Slides Course resources: Module 4 examples Course resources: Links and other resources Semester 3: Modeling Risk and Realities Modelling decisions in low uncertainty settings 8 topics Course Introduction Edcent survey How To Build an Optimization Model: Hudson Readers Optimizing with Solver, and Alternative Data Input Adding Risk: Managing Investments at Epsilon Delta Course resources: PDFs of Slides for Week 1 Course resources: Excel Files for Week 1 Quiz: Modeling in Low Uncertainty Risk and rewards: Modelling high uncertainty sets 6 topics High Uncertainty Settings, Probability Distributio Common Scenarios for Multiple Random Variables Using Scenarios for Optimizing Under High Uncert.. Breakout Exercise: Meet and engage other students Course resources: PDFs of Lecture Slide for Week 2 Course resources: Excel Files for Week 2 Choosing distribution that fits your data 8 topics Data and Visualization: Graphical Representation Choosing Among Distributions: Part 1 Choosing Among Distributions: Part 2 Discussion prompt: Share your thoughts Hypothesis Testing and Goodness of Fit Course resources: PDFs of Lecture Slide for Week 1 Course resources: Excel Files for Week 3 Quiz: Choosing Fitting Distributions Balancing risk and reward using simulation 8 topics Modeling Uncertainty: From Scenarios to Continuous Connecting Random Inputs and Random Outputs Breakout Exercise: Meet and engage other students Analyzing and Interpreting Simulation Output Course Conclusion Course resources: PDFs of Lecture Slides Course resources: Excel files for Week 4 Quiz: Using Simulations

Sergei Savin Associate Professor of Operations, Information and Decisions The Wharton School Don Huesman Managing Director, Wharton Online Innovation Group- Wharton School Richard Waterman Professor of Statistics Statistics-Wharton School

The next application deadlines are: Priority Deadline: September 1, 2024 Final Deadline: September 15, 2024 Have questions? Attend an upcoming Information Session or use the chat box at the bottom right corner of the screen.

For more information about the Univad Diploma Tuition, session durations, and deadlines, kindly visit the Tuition page to access this information and even more.

Self-pace

Students who hold Bachelor's degrees and wish to concentrate or expand their knowledge in the field Professionals who have several years of working experience Anyone who wishes to gain a new skill for personal growth or to start a career.