Business Analytics, MS
Program Requirements
Degree and Minimum GPA: Bachelor's degree, minimum 3.0 GPA
Transcripts: Official transcripts from all schools attended are necessary to apply
Additional Requirements:
- Three letters of recommendation from academic or professional references.
- Personal Statement.
- Professional Résumé.
Students without business knowledge in statistics, management science, and information systems may need to take extra foundational courses (i.e., the foundation modules MBA 501A, MBA 501B and MBA 501C).
For general application requirements, please click here.
Curriculum
This 30-credit STEM program is offered on both a full-time and part-time basis. The MS in Business Analytics curriculum consists of 10 courses (5 required and 5 elective courses).
Students lacking the necessary business knowledge in statistics, management science and information systems may be required to take extra foundation course as determined by the Program Director.
CORE COURSES
BUAN 571: Introduction to Business Analytics
BUAN 572: Data Mining
BUAN 576: Business Database Management Systems
BUAN 578: Business Intelligence
BUAN 590: Big Data Capstone Project
ELECTIVE COURSES (15 credits required)
BUAN 573: Business Analytics Using R
BUAN 574: Business Forecasting Models
BUAN 575: Business Simulation
BUAN 577: Data Visualization
BUAN 584: Special Topics in Business Analytics
BUAN 585: Big Data Ethics
BUAN 586: Applied Business Statistics
BUAN 587: Customer Relationship Management
BUAN 588: Business Analytics Using Python
For additional information on the curriculum, visit the Loading... Catalog.
The Online Master of Science Business Analytics degree is designed for the student who is looking to gain essential critical thinking, analytical and quantitative skills needed to compete in a job market that has become more data driven. This 30 credit-hour MS in Business Analytics program curriculum is designed to provide students with specialized knowledge in using advanced analytics techniques and can be completed in as little as 18 months.
Program Requirements
- Online application
- Professional resume
- Statement of intent
- All official undergraduate and graduate transcripts
- Three Letters of Reference - at least one reference should be from a supervisor or other professional reference
- An undergraduate GPA of at least 3.0 (on a 4 point scale)
Curriculum
This 30-credit program is offered on both a full-time and part-time basis.
CORE COURSES*
BUAN 571: Introduction to Business Analytics
BUAN 572: Data Mining
BUAN 576: Business Database Management Systems
BUAN 578: Business Intelligence
BUAN 590: Big Data Capstone Project
ELECTIVE COURSES (15 credits required)
BUAN 573: Business Analytics Using R
BUAN 574: Business Forecasting Models
BUAN 575: Business Simulation
BUAN 577: Data Visualization
BUAN 584: Special Topics in Business Analytics
BUAN 585: Big Data Ethics
BUAN 586: Applied Business Statistics
BUAN 587: Customer Relationship Management
BUAN 588: Business Analytics Using Python
*Upon review of their application by the program director, students may be required to complete additional foundation modules based on their educational and work experience.
For additional information on the curriculum, visit the Loading... Catalog.
Beyond the Classroom
Center for Practical Learning
Students have the opportunity to enrich their professional preparation to compliment the academic rigor of their program.
Graduate Assistantships
Graduate Assistants, who assist faculty in the delivery of course content, receive a stipend as well as tuition scholarships.
Beyond the Classroom
Career Opportunities Abound
Industries recognize the growing need for trained skilled leaders who will be able to analyze data and discover key insights.
AACSB Accredited Curriculum
Our curriculum emphasizes the Triple Bottom Line, maintaining a focus on the importance of people, planet, and profit.
Graduate Education at Scranton
With over 30 programs, The University of Scranton can help you achieve your goals, personally and professionally. Find out what our students and faculty have to say about graduate education at Scranton.
Outcomes
Business Analytics Career Outcomes
The U.S. Bureau of Labor Statistics projects double-digit employment growth for management analysts and market research analysts from 2016 to 2026.
Jobs in the Field
Business analyst, Data scientist, Management analyst, Market Research analyst, Operations Research analyst and Quantitative analyst.
Outcomes
Business Analytics Career Outcomes
The U.S. Bureau of Labor Statistics projects double-digit employment growth for management analysts and market research analysts from 2016 to 2026.
Jobs in the Field
Business Consultant, Data Scientist, Supply Chain Analyst, Market Research Analyst, Operations Research Analyst and Data Scientist.
Mission Statement of the Operations and Information Management Department
Mission Statement of the Operations and Information Management Department
Accreditation
AACSB accreditation is a seal of approval that reflects the quality of business school. It ensures that the students are learning relevant material; evaluation is done every five years including self-evaluations, peer reviews, committee reviews, faculty qualifications, and curriculum.
AACSB Accreditation
AACSB accreditation is a seal of approval that reflects the quality of business school. It ensures that the students are learning relevant material; evaluation is done every five years including self-evaluations, peer reviews, committee reviews, faculty qualifications, and curriculum.
Meet the Program Director
Dr. Nabil Tamimi, Professor and Chair of the Operations Management Department at The University of Scranton, serves as the Director of the Master of Science in Business Analytics Program. Dr. Tamimi's research interests include quality management and e-commerce. His teaching interests are in the areas of management science, operations management, and simulation modeling.
Nabil Tamimi, Ph.D.
Professor & Chair, Operations Management
Ph.D., Temple University M.B.A., The University of Scranton B.S., The Pennsylvania State University
(570) 941-4288nabil.tamimi@scranton.edu
Meet the Program Director
Dr. Nabil Tamimi, Professor and Chair of the Operations Management Department at the University of Scranton, serves as the Director of the Master of Science in Business Analytics Program. Dr. Tamimi's research interests include quality management and e-commerce. His teaching interests are in the areas of management science, operations management, and simulation modeling.
Nabil Tamimi, Ph.D.
Professor & Chair, Operations Management
Ph.D., Temple University M.B.A., The University of Scranton B.S., The Pennsylvania State University
(570) 941-4288nabil.tamimi@scranton.edu
