MS in Finance Degree for working professionals in the USA

In this course, you'll learn the fundamental constructs of Python programming, enabling you to read, manipulate, analyze, and solve business problems using data. You’ll explore essential principles in Python programming and develop skills in performing computations, manipulating data, visualizing data, and conducting exploratory data analysis. You'll work with widely used Python libraries and packages, including numpy, pandas, matplotlib, and seaborn.

In this course, you'll learn to apply statistical methods in a business context, helping you address key business questions and make evidence-based decisions. You'll understand probability concepts and inferential statistics, enabling you to analyze data distributions, create business estimates using confidence intervals, and apply a range of hypothesis tests to validate business hypotheses.

In this course, you'll learn how to build, assess, and apply machine learning models using historical data to solve business challenges. You’ll process data for modeling, build models such as linear regression, logistic regression, decision trees, k-means clustering, and ensemble models, identify patterns in unlabelled data, check model validity, combine model outputs for better predictions, apply tuning algorithms to optimize performance, and derive business insights from model results.

In this course, you'll learn to write complex, efficient SQL queries to retrieve and analyze data, and effectively communicate insights using Tableau for visual storytelling. You’ll store, fetch, aggregate, and manipulate data with SQL queries, use advanced SQL techniques for analytical purposes, create visualizations to convey insights, and build informative, visually engaging dashboards.

• ACCT 4101 - Foundations of Financial Accounting
  In this course, you'll learn essential financial accounting concepts, generally accepted accounting principles, and the accounting framework. You’ll begin with an overview of financial statements for external decision-making and understand how the accounting system records transactions. You'll focus on accurate recording, preparing financial statements, and discussing income statements, balance sheets, retained earnings statements, and cash flow statements in detail.
  
  
• FIN 5401 - Investments
  In this course, you'll gain foundational knowledge of the financial market, investment theory, and security valuation. You'll study equity and bond pricing, portfolio analysis, the capital asset pricing model, option pricing, and ethics in investment management. You’ll also be introduced to emerging topics like ESG (Environmental, Social, and Governance) investing, FinTech, and Cryptocurrency, with lectures and exams covering both conceptual and quantitative aspects.
  
  
• BAN 4550 - Analytics Programming
  In this course, you'll learn programming for analytics, using Python as the primary language. You’ll cover topics such as the programming environment, elements of programming languages, basic data types, conditionals, functions, and file operations. By the end of this course, you'll design and develop programs for scientific computing and basic analytics. No prior programming background is required, but completing an online Python course beforehand is recommended.
  
  
• FIN 5309 - Financial Econometrics
  In this course, you'll learn how to conduct statistical analyses for financial markets. You’ll start with a review of probability and statistics, then move on to econometric concepts commonly used in finance. Topics include linear regressions and stationary time-series models (AR, MA, ARMA). You'll use real-world datasets and R to answer financial questions, building on an introductory statistics background.
  
  
• FIN 5200 - Corporate Finance
  In this course, you'll learn the principles of corporate finance and its applications. You’ll study financial analysis, asset valuation, capital budgeting, capital structure, dividend policy, and the cost of capital. You'll learn the procedures, practices, and policies that help financial managers support an organization’s success.
  
  
• BAN 5501 - Database Management and SQL for Analytics
  In this course, you'll learn essential concepts and managerial perspectives in database management, focusing on effective database design. You’ll develop practical skills in database creation and management, with an emphasis on the following topics:
  1. General database concepts and design
  2. Designing, creating, and manipulating relational databases using SQL
  3. Interpreting and applying client database requirements
  4. Applying User Interface Design best practices to database applications
  5. Exploring new trends in databases, including data warehouses, data lakes, and X analytics.   
  
  
• FIN 5216 - Options, Futures, and Other Derivatives
  In this course, you'll learn mathematical concepts behind financial applications, with a focus on derivatives and portfolio optimization. You'll start with binomial models and explore tools for derivative valuation, extending to continuous-time pricing. You’ll apply numerical methods, like Monte Carlo simulations, and use optimization techniques for portfolio building under constraints.
  
  
• STAT 4650 - Machine Learning
  In this course, you'll explore techniques from machine learning, data mining, and statistics. You'll apply mathematical modeling and scenario optimization to improve decision-making in business analytics. Topics include logistic regression, cross-validation, model selection, nonlinear methods, decision trees, dimension reduction, and clustering. You'll use real-life datasets with R and Python to answer business questions, and, if time allows, additional topics such as support vector machines and time series forecasting will be introduced.

• BAN 5650 - Applied Business Analytics
  
  
• BAN 5700 - Blockchain and Cryptocurrency
  
  
• FIN 5404 - Investment Fund
  
  
• FIN 5409 - Wealth Management
  
  
• FIN 5417 - Financial Consulting Project
  
  
• MGMT 5235 - Corporate Climate Action and Social Innovation
  
  
• MGMT 5510 - Community Development, Social Change & Sustainability Consulting Projects
  
  
• MGMT 5615 - Corporate Social Responsibility
  
  
• MGMT 5792 - Management Consulting Projects
  
  
• MGMT 5543 - Project Management

• BAN 5573 - Visual Analytics and Business Intelligence
• ACCT 5101 - Financial Analysis and Reporting I
• ACCT 5103 - Management Accounting with Data Analytics
• ACCT 5107 - Analysis of Financial Statements
• MGMT 4302 - Organizational Leadership
• MKT 4400 - Marketing Management
• MKT 5486 - Branding Strategies
• BAN 5532 - Introduction to AI for Data Scientists and Business Analysts
• ACCT 5100 - Accounting Analytics
• ACCT 5102 - Financial Analysis and Reporting II
• ACCT 5104 - Accounting Information Systems
• ACCT 5105 - Financial Auditing with Data Analytics
• ACCT 5109 - Government and Nonprofit Accounting
• ACCT 5114 - Principles of Internal Auditing
• ACCT 5200 - Advanced Accounting Analytics
• ACCT 5206 - Federal Taxation
• BAN 4500 - Information Systems for Analytics
• BAN 5600 - Advanced Big Data Computing and Programming
• BAN 5700 - Blockchain and Cryptocurrency
• FIN 5203 - Investment Strategies
• FIN 5404 - Investment Fund
• FIN 5405 - Mergers and Acquisitions
• FIN 5409 - Wealth Management
• FIN 5417 - Financial Consulting Project
• FIN 5433 - Financing for International Development
• FIN 5900 - Special Topics in Finance
• MGMT 4708 - Business Law I (1/2 unit)
• MGMT 4713 - Business Law II (1/2 unit)
• MGMT 5510 - Community Development, Social Change & Sustainability Consulting Projects
• MGMT 5543 - Project Management
• MGMT 5792 - Management Consulting Projects
• MKT 5486 - Branding Strategies
• MKT 5487 - Sustainability Marketing
• BAN 4550 - Analytics Programming