Business: Data, Insights, and Analytics, M.S.

Program Overview

The Master of Science in Data, Insights, and Analytics program equips students with the skills to leverage data for business problem-solving and decision-making. Taught by top-ranked faculty through edX, the program covers analytics tools, data visualization, predictive modeling, and project management. Graduates are prepared for careers in data analysis, business intelligence, and analytics, including roles such as Data Analyst and Analytics Manager.

Program Outline

Degree Overview:

The Master of Science in Data, Insights, and Analytics program provides students with the skills and knowledge necessary to utilize data to solve business problems and drive business decisions. The program is designed to be approachable for students with a variety of backgrounds and is taught by top-ranked faculty through the edX online platform. The industry-informed curriculum prepares students to use data to solve business problems and drive business decisions.

Objectives:

• Use analytics tools like Python, SQL, Tableau, AWS, and Snowflake.
• Deliver data-driven insights and recommendations for organizations using visualization and descriptive analytics techniques.
• Build linear regression, machine learning, and optimization models leveraging an organization's data resources.
• Manage analytics projects, communicate professionally, and influence data-based changes within an organization.

Outline:

Required Courses

• GEN BUS 881 Business Statistics Using Python (2 credits)
• GEN BUS 882 SQL Fundamentals (2 credits)
• GEN BUS 883 Data Visualization & Cloud Technologies (2 credits)
• GEN BUS 884 Applied Analytics - Case Studies (2 credits)
• GEN BUS 885 Python Fundamentals (2 credits)
• GEN BUS 886 Foundations of Predictive Modeling for Business Analytics (2 credits)
• GEN BUS 740 Experiments and Causal Methods for Business Insights (2 credits)
• GEN BUS 888 Applied Machine Learning for Business Analytics (2 credits)
• GEN BUS 730 Prescriptive Modeling and Optimization for Business Analytics (2 credits)
• GEN BUS 746 Advanced SQL & Data Warehousing (2 credits)
• GEN BUS 891 Text Mining for Business Analytics (2 credits)
• GEN BUS 745 Robotic Process Automation (2 credits)
• GEN BUS 893 Analytics Consulting Project Management (2 credits)
• GEN BUS 894 Pitfalls, Ethics, Communication, and Leadership in Business Analytics (2 credits)
• GEN BUS 895 Masters Capstone in Business Analytics (2 credits)
Total Credits: 30

Assessment:

No formal examination is required.

Teaching:

The program is taught by top-ranked faculty through the edX online platform. The virtual program is delivered in a part-time, asynchronous format.

Careers:

Graduates of the program are prepared for careers in data analysis, business intelligence, and analytics. Potential job titles include:

• Data Analyst
• Business Intelligence Analyst
• Analytics Manager
• Data Scientist