MS in Business Analytics (MS)

Program Director: James C. Goldstein, PhD

The master of science in business analytics at Canisius University prepares highly competent professionals to lead in the growing field of analytics. Through courses offering interdisciplinary approaches to business and data analysis, students obtain a graduate-level education that prepares them to fill critical roles in regional organizations. We develop graduates who solve problems and identify opportunities derived from data and shaped by keen business insights. In addition to data analytics, the program also draws on courses in accounting, economics, management, marketing, finance and computer science.

Students in the program benefit from our connections with business partners in Western New York. The region offers extensive opportunities for employment with both small and large companies. The need for professionals with the skills developed in this program is high, as confirmed by a market analysis and an advisory group representing key employer stakeholders, and our graduates are well positioned to succeed in these roles.

Curriculum

Foundation Course Help Make Your Program Yours

This program features foundation courses that are designed to work with your level of education and experience, so whether you’re completely new to the field or a seasoned pro, this program is designed to work for you.

• Foundation courses get you up to speed. If you’re a new college graduate or a career changer with little or no experience in the field, you can develop the skills and knowledge that you need for long-term success right at the beginning of your program.
• Foundation courses can be waived with relevant experience at the discretion of the program director. If you’ve mastered the basics and are looking to deepen your knowledge and hone your skills even further, you can get right into the material – and get to degree completion faster.

Roadmap

Learning Goals and Objectives

We will focus on developing student capabilities in four crucial areas:

Quantitative and decision support:

• Analyze, interpret, and communicate information for effective decision support in both written and oral form.
• Understand business processes and related risks in the context of organizational objectives.

Technical skills: 

• Use at least one general programming language. 
• Understand and apply a knowledge of databases. 

Ethical data stewardship: 

• Maintain awareness of the ethical and moral issues that arise in work with large data sets and the required steps to protect rights and privacy of individuals.

Career-ready professionalism and leadership:

• Practice and assess their leadership capacity to positively influence others, collaborate on teams and achieve organizational goals.

Decision support:

• Apply enterprise risk management concepts.
• Identify critical data and analyze and communicate information in an appropriate format to the decision maker.