MS IN BUSINESS ANALYTICS

CURRICULUM

 

DETAIL-ORIENTED. CURIOUS. FORWARD-THINKING.

Ready to flex your analytical acumen?

The MS in Business Analytics is a 45-credit program that develops your ability to think critically about data problems in business contexts. The curriculum is primarily designed to enhance your statistical and programming acumen through rigorous hands-on coursework. You’ll solve real-world problems and work with real company data, allowing you to get a sense of what it’s like to work in the business analytics space.

Download Curriculum Map

REAL DATA. REAL SOLUTIONS.

The MS in Business Analytics curriculum gives you exciting opportunities for experiential learning. Whether it’s through networking events, or a hands-on hackathon, you’ll get to flex your new knowledge immediately.

MORE THAN JUST A DEGREE

Upon completion of the MS in Business Analytics program, you’ll

  • Be able to think critically about and frame data problems in a variety of business contexts and apply appropriate analytical methods to find solutions that achieve stated objectives.
  • Demonstrate proficiency with a variety of data-analytic tools.
  • Be able to manipulate data, develop statistical and machine learning models, and visualize and present output to improve business outcomes.
  • Demonstrate critical thinking skills, connecting quantitative and qualitative tools, concepts, and context to effectively solve problems and make decisions.
  • Communicate technical information to both technical and non-technical audiences in speech, in writing, and graphically.
  • Consider opportunities, needs, and constraints of data analytics within the business functions and the strategic importance of decisions made using data.
  • Demonstrate interpersonal, team, collaborative, and leadership skills.
  • Demonstrate ethical reasoning skills and understand professional responsibilities.

OUR MSBA FACULTY

At Questrom, you’ll have access to the brightest minds in business analytics, ready to mentor you on your career journey.

Marcus Bellamy

Assistant Professor, Operations & Technology Management
MSBA Courses Taught:
Operations & Supply Chain Analytics

Rena Conti

Assistant Professor, Markets, Public Policy, & Law

Dean’s Research Scholar
MSBA Courses Taught:
Describing, Analyzing, and Using Data

Michelle Ehrenreich

Senior Lecturer, Marketing
MSBA Courses Taught:
Management Communications

Andrey Fradkin

Assistant Professor, Marketing
MSBA Courses Taught:
Business Experimentation and Causal Methods

Leroy Gonsalves

Assistant Professor, Management & Organizations
MSBA Courses Taught:
People Analytics

Bin Gu

Professor, Information Systems

Everett W. Lord Distinguished Faculty Scholar
MSBA Courses Taught:
Capstone Project

Paul Hutchinson

Senior Lecturer, Management & Organizations
MSBA Courses Taught:
Teaming

Emine Kucukbenli

Clinical Assistant Professor, Information Systems
MSBA Courses Taught:
Capstone Project
Advanced Machine Learning I

Tesary Lin

Assistant Professor, Marketing
MSBA Courses Taught:
Digital Marketing Analytics

Michael Salinger

Professor, Markets, Public Policy, & Law

Jacqueline and Arthur Bahr Professor
MSBA Courses Taught:
Describing, Analyzing, and Using Data

Jesse Shore

Assistant Professor, Information Systems
MSBA Courses Taught:
Data Ethics: Analytics in a Social Context

Mohammad Soltanieh-Ha

Clinical Assistant Professor, Information Systems
MSBA Courses Taught:
Business Analytics Toolbox
Introduction to Data Analytics

Brock Tibert

Lecturer, Information Systems
MSBA Courses Taught:
Introduction to Programming for Data Science
Unsupervised and Unstructured Machine Learning

Dylan Walker

Assistant Professor, Information Systems
MSBA Courses Taught:
Advanced Machine Learning I

Peter Wysocki

Professor, Accounting
MSBA Courses Taught:
Financial & Accounting Analytics

Georgios Zervas

Faculty Director, MSBA Program

Associate Professor, Marketing

MSBA Courses Taught:
Supervised Machine Learning