Business Analytics Online MS

With a Master of Science in business analytics from the School of Management, you’ll gain a combination of technical, managerial and communication skills, allowing you to rise to leadership positions in organizations worldwide.

Our online delivery in fast-paced, seven-week sessions is a highly effective way to learn for individuals with full-time jobs, families and other commitments, allowing you to achieve your personal and professional goals on a flexible schedule. Take advantage of the overwhelming demand for data analysts in every industry by focusing on the skills the employers want: data-driven decision-making, data visualization and business intelligence. Beyond technical skills, employers say storytelling is both the most critical and frequently missing skill in the analytics toolset. Storytelling is what turns data scientists into leaders who solve business problems.

Most Online MSBA students take one 3-credit course per seven-week module. The program can be completed in about 21 months. Speed up or slow down - it’s up to you.

Required Core (10.5 credits)

MGQ 606LEC - Statistical Foundations of Analytics Credits: 3
MGS 613LEC - Database Mgmt Systems Credits: 3
MGS 617LEC - Programming for Data Analytics Credits: 3
MGS 626LEC - Data Visualization Credits: 1.5

Foundational Analytics Flexcore (6 credits)

MGG 633LEC - Model Managerial Process Credits: 3
MGS 616LEC - Predictive Analytics Credits: 3

Applied Domain Analytics Flexcore (3 credits)

Choose 1 course from the following (availability varies by session):

MGB 626LEC - People Analytics Credits: 3
MGF 634LEC - Quantitative Methods in Finance Credits: 3
MGM 653LEC - Digital Marketing Analytics Credits: 3
MGO 636LEC - Supply Chain Analytics Credits: 3
MGS 670LEC - Health Care Analytics Credits: 3

Electives (9 credits)

Choose 3 courses from the following (availability varies by session):

A second course from the Applied Domain Analytics Flexcore List:
MGB 626LEC - People Analytics Credits: 3
MGF 634LEC - Quantitative Methods in Finance Credits: 3
MGM 653LEC - Digital Marketing Analytics Credits: 3
MGO 636LEC - Supply Chain Analytics Credits: 3
MGS 670LEC - Health Care Analytics Credits: 3
Additional electives include:
MGA 609LEC - Management Accounting Credits: 3
MGO 630LEC - Operations & Service Mgmt Credits: 3
MGO 634LEC - Project Management Credits: 3
MGS 636LEC - Applied AI for Managers Credits: 3

Culminating Experience (1.5 credits)

MGS 649SEM - MS Practicum Credits: 1-6

Total Credit Hours: 30

3.0 Degree GPA required

Program Learning Outcomes (PLOs)

1) Gain an understanding of the technical and managerial skills needed to develop and apply analytical tools to help make decisions involving complex systems.

2) Execute data analysis using multiple approaches as well as identify and perform statistical techniques and organize databases for analysis.

3) Apply (e.g., implementable) knowledge regarding strategies/tactics for applying analytical tools to marketing, financial decisions in a firm, the design, modeling, and optimization of supply chains, and how to develop research questions that can be answered using data science.

4) Graduates will be able to clearly delineate the steps needed to turn data into actionable intelligence that has the goal of impacting outcomes, in real-world environments.

5) Graduates will be able to effectively interpret and communicate data and their analysis to constituencies at all levels of organizations.

SED Statement

This program is officially registered with the New York State Education Department (SED).