A Master's program for data-driven professionals
For more than a decade, the Master of Science in Business Intelligence and Analytics at Saint Joseph's University has trained professionals to maximize organizational knowledge and find success in their data. It is a STEM-designated program that trains students to drive organizational performance in all functional areas. They learn how to use data to create new opportunities, identify effective strategies, and improve decision-making.
In addition to providing excellent training, the program offers these advantages:
- A quality education: The Haub School of Business holds dual accreditation from AACSB, which places it among the top 5% of business programs in the world.
- Specialized curriculum: Because its one of only a few business intelligence and analytics programs taught within a business context, students graduate with a competitive advantage.
- A reputable degree: According to "U.S. News & World Report" and "The Princeton Review," the Haub School of Business is one of the nation's top business schools.
- An industry-recognized education: The SAS Institute, a leader in business analytics services and software and the largest independent vendor in the market, endorses the program. This endorsement enables students to earn an SAS-endorsed Business Intelligence Certificate.
- Convenience: Students can earn their degrees on a full-time or part-time basis either online or on campus.
- Professional opportunity: Business intelligence and analytics is one of the fastest growing fields in the world. As such, it provides robust professional opportunities for both early careerists and experienced professionals.
- Accelerated professional growth: Data has never been more important to organizations as it is today. Graduates develop the expertise and advanced business credentials to succeed in data-driven environments.
- Professional development: With over 67,000 Hawks across the globe, Saint Joseph's University has an especially strong alumni network. All alumni and students have lifetime access to the Career Development Center.
Master of Science (MS) in Business Intelligence and Analytics
The MS in Business Intelligence and Analytics has 30 credits of coursework including two core and eight elective courses. Core courses include prerequisites or co-requisites that are met through the scheduled course sequence. Specializations in the following four areas allow students to create customized programs of study.
- Cyber Analytics
- Data Analytics
- General Business Intelligence
- Programming Languages
The business intelligence masters program has two certificate options: Cyber Analytics and Data Analytics. The Haub School of Business' Certificate Programs require students to complete 12 credits* (4 courses) in the following areas:
Cyber Analytics Certificate Program courses:
DSS 740 Analytics with Machine Learning
DSS 750 Fundamentals of Cyber Security
DSS 760 CPS Framework
DSS 790 Advanced Topics in Cyber Analytics
Data Analytics Certificate Program courses:
DSS 660 Introduction to Data Mining
DSS 665 R Statistical Programming
DSS 680 Predictive Analysis
DSS 740 Analytics with Machine Learning
* Specific prerequisites are required for core courses listed and are met through the scheduled course sequence.
Highly-qualified faculty members
Highly-qualified faculty members lead the data analytics masters program. They develop and teach the curriculum and create vibrant learning environments. Furthermore, they're successful researchers and practitioners who have in-depth knowledge about industry best practices.
Assistant Professor Nicolle Clements, PhD, the academic coordinator of the MS in Business Intelligence and Analytics (MSBIA) program, is an experienced researcher and practitioner. Her research interests include environmental and spatial applications of multiple testing procedures, multiplicative time series modeling, and statistical analysis procedures associated with substance abuse treatment. In addition to her academic work, Dr. Clements has been a statistical consultant since 2010.
Ronald (Ron) K. Klimberg, Ph.D. is a Professor in the Decision and System Sciences Department of the Haub School of Business at Saint Joseph's University, USA. Professor Klimberg received his B.S. in Information Systems from the University of Maryland, his M.S. in Operations Research from George Washington University, and his Ph.D. in Systems Analysis and Economics for Public Decision-Making from the Johns Hopkins University. Before joining the faculty of Saint Joseph=s University in 1997, he was a professor at Boston University (10 years), an operations research analyst for the Food and Drug Administration (FDA) (10 years) and a consultant (7 years). Ron was the 2007 recipient of the Tengelmann Award for his excellence in scholarship, teaching, and research.
His research has been directed toward the development and application of quantitative methods, e.g., statistics, forecasting, data mining, and management science techniques, such that the results add value to the organization and the results are effectively communicated.
Dr.Klimberg published 3 books, including Fundamentals of Predictive Analytics using JMP, edited 10 books and over 70 articles and has made over 70 presentations at national and international conferences in the areas of management science, business intelligence, business analytics, information systems, statistics, data mining and operations management. In addition, Ron has over 20 years of consulting providing statistical and analytical support to private and public organizations. Dr. Klimberg expertise is directed toward the development and application of quantitative methods, e.g., statistics, forecasting, optimization, efficiency analysis, data mining, and management science techniques, such that the results add value to the organization and the results are effectively communicated. He is currently a member of INFORMS, DSI, and MCDM.
High-quality career opportunities
The MS in Business Intelligence and Analytics program at Saint Joseph's University equips students with the advanced business credentials, SAS-endorsed certificate, and skill-set to become leaders in departments, organizations, and teams. These attributes set them apart from peers and attract the interest of senior leadership in the data-driven environment in which businesses now operate.
Tuition and financial aid
The MSBIA program tuition is charged on a per-credit basis. There are no additional fees.The university provides information and resources to assist students with managing the costs of their graduate education. Financial resources include the following:
- Graduate assistantships that provide a stipend and tuition remission
- Federal loans
- Veterans benefits
The university also offers an employer tuition deferral program for students who receive tuition reimbursement from their employers.
St. Joseph's University
Founded in 1851, St. Joseph's University (SJU) prepares students for engaged citizenship, personal excellence, and professional success. Its rigorous Jesuit education integrates a liberal arts foundation with program-specific curricula that meet the needs of complex and changing fields.
The university offers approximately 8,086 students 55 majors, 50 minors, 30-plus degree completion and certificate programs, and 52 graduate programs through two schools. The College of Arts and Sciences offers programs in the humanities, natural sciences, and social sciences. The Erivan K. Haub School of Business provides a wide-range of programs including STEM masters degrees and graduate programs in analytics.
SJU is located in Philadelphia, Pennsylvania in the northeastern region of the United States.
Degrees & Awards
Entrance Exam GMAT or GRE
Minimum GPA of 3.0
|Master's Degree Exam||GMAT or GRE|
|Master's Degree Requirements||2 letters of recommendation, resume, personal statement, official undergraduate and graduate transcripts|
Tuition & Fees
|Financial award applicants must submit:||FAFSA|
|Application deadlines for financial awards||May 1|
|Types of financial support available||
Scholarship and/or loans
|Black or African American||11.44%|
|White or Caucasian||45%|
|American Indian or Alaska Native||Not Reported|
|Native Hawaiian or Pacific Islander||Not Reported|
|Two or more races||0.98%|