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.
|Learn More About The University of Scranton's Online Master of Science in Business Analytics Program|
|Program||Program Type||Learn More|
|Online Master of Science in Business Analytics||Analytics||Visit Site|
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
Online Master of Science in Business Analytics
Learn more about the online Master of Science in Business Analytics program - visit elearning.scranton.edu