Skip to content

The University of Scranton - Online Master of Science in Business Analytics Program

The University of Scranton offers an online Master of Science (MS) in Business Analytics program through its Arthur J. Kania School of Management. The program is designed to provide practical training and instruction in data mining, database management, and business intelligence technologies and includes elective coursework in R and Python programming, business forecasting models, and data ethics and security. The 30-credit program consists of ten graduate courses, including a capstone project, and it is structured to accommodate full-time and part-time enrollment. The estimated to time completion for the program is 18 months, although this varies based on the number of courses a student opts to take per term.

The MS in Business Analytics offered by the Kania School of Management is fully online and utilizes asynchronous instruction. This means that students are not required to attend any campus visits and that lectures and other instructional materials can be accessed 24-7 through the program’s online learning platform. The program’s online learning platform also supports group discussions, instant messaging, and video chats in order to foster interaction between students and facilitate contact with instructors.

The Kania School of Management’s online MS in Business Analytics program curriculum is grounded in four core business analytics courses: Introduction to Business Analytics; Data Mining; Business Database Management Systems; and Business Intelligence. In addition, each student must complete a Big Data Capstone Project in which the knowledge and skills learned in the program are applied to real-world business analytics issues and concerns. The four core requirements and the capstone project account for 15 credits, or half of the credits needed to complete the degree. Students earn the remaining 15 credits by choosing five courses from among a number of electives in business analytics topics, including: Business Analytics Using R; Business Forecasting Models; Business Simulation; Data Visualization; Big Data Ethics & Security; Applied Business Statistics; Customer Relationship Management; and Business Analytics Using Python.

The University of Scranton is accredited by the Middle States Commission on Higher Education. The Kania School of Management has programmatic accreditation from the Association to Advance Collegiate Schools of Business (AACSB International).

The University of Scranton: Kania School of Management

Programs Offered: Analytics (Master of Science in Business Analytics)
Accreditation: Middle States Commission on Higher Education (MSCHE)
Instruction Methods: Program uses asynchronous instruction

Online Master of Science in Business Analytics

Program Overview
Program Type: Analytics
Degree Conferred: Masters
Program Structure: Online instruction with no campus visits required
Example Courses: Introduction to Business Analytics, Data Mining, Business Intelligence, Data Visualization, Customer Relationship Management, Big Data Ethics & Security

Learn more about the online Master of Science in Business Analytics program - visit

Degree Requirements
Credits Required: 30 credits needed to graduate
Campus Visits Required: 0
Program Options
Program Start Dates: Six start dates per year (Winter, Spring, Summer and Fall)
Curriculum Options: Full-time and Part-time
Length of Program: Program can be completed in 1.5 years
Admission Requirements and Tuition Costs
Degree Required for Admission: Bachelor's Degree
GPA Requirements: Minimum GPA 3.0
Testing Requirements: Not required
Work Experience: Students who do not have knowledge of statistics, information systems, and business management may be required to take three extra one credit foundational courses
Tuition Costs: ~$28,950 + fees
Cost per Credit Hour: $965 per credit hour
Eligibility Information: Program currently accepts students from all 50 states