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.