MS in Business Analytics

Core courses

The core courses cover coding, statistics, machine learning, data science, big data and cloud computing, and data engineering.

Sample courses

• Coding: Data Management and Analysis with R
• Coding: Data Management and Analysis with Python
• Coding Practice with R
• Data Analysis: Exploration – Business Analytics track
• Data Analysis 2: Finding Patterns with Regressions – Business Analytics track
• Data Analysis: Prediction and Introduction to Machine Learning
• Data Analysis: Causal Analysis
• Data Science: Machine Learning Concepts
• Data Science: Machine Learning Tools
• Data Visualization: Introduction to Data Visualization with Tableau
• Ethics of Big Data
• Data Engineering: SQL for Analysts
• Data Engineering: Different Shapes of Data
• Data Engineering: Big Data and Cloud Computing

Electives

Deepen your knowledge in analytics and engineering, or take up management and business courses.

Capstone Project

The final capstone project puts your applied skills to the test by matching you with an industry partner and exposes you to a complete analytics workflow. Use the full spectrum of skills you have acquired, challenge yourself, and generate valuable content for the partner. Past projects include designing a data warehouse, building a predictive model of customer behavior, fraud detection, and designing and evaluating experiments through data analysis.