Customer Analytics (MS)
The Master of Science in Customer Analytics (MSCA) prepares and develops students for data-led, customer-centric, problem-solving, leadership roles that help companies make better business decisions. Xavier's unique partnerships with business leaders and real-world opportunities give students the expertise required to stand out in this growing field and ethically succeed in today's information-rich environment.
The Master of Science in Customer Analytics is rigorous, highly quantitative and highly selective. We recommend:
- Completed application
- Most current resume, uploaded with
- Competitive GMAT score, or approved waiver, with
appropriatequantitative percentile rank
- Competitive Undergraduate and/or Graduate GPA
- Official transcripts and two letters of recommendation
Please have all application materials sent directly to:
ATTN: Admission Processing Center
3800 Victory Parkway
Cincinnati OH 45207-3221
You will be considered for admission into the program once all application materials have been received. Admission is rolling, allowing students to begin their studies at many times throughout the academic year.
The Master of Science in Customer Analytics is comprised of 30 credit hours of graduate coursework. An additional 6 credit hours of prerequisite coursework may be required based on the student's background. Before entering the program every student will meet with a faculty advisor to determine his or her needs and create a plan for completing requirements.
These courses form the basis of knowledge on which the remainder of the degree will build. These courses are required for all students who have not previously completed equivalent courses or demonstrated mastery.
- MKTG 550: Marketing Strategy
- BAIS 500: Business Statistics
- TUTORIAL: Excel Tutorial
30 Credit Hours in the core courses are required for the MSCA Degree. Select classes may be substituted if another Graduate Business Degree is present (i.e., MBA may substitute another Marketing elective for MKTG 550-Marketing Strategy, etc.)
- MSCA 660: Statistical Programming (R)
- MSCA 602: Marketing Research
- MSCA 605: Applied Multivariate Analysis
- MSCA 640: Consumer-centric Category Mgt
- MSCA 664: Consumer Behavior
- MSCA 680: Intro Data Mining for Mgrs
- MSCA 674: Database Management
- MSCA 665: Business Analytics for Managers
- MSCA 689: Data Visualization
- MSCA 610: Analytics Practicum
MSCA 680: Introduction to Data Mining for Managers - This introductory course will familiarize students with popular data mining methods for extracting knowledge from data. Principles of data mining will be presented and discussed while students acquire hands-on experience using state-of-the-art data mining software. The course will be delivered from both a technological view and a marketing/management view.
MSCA 640: Consumer-Centric Cat Management - Category Management is a discipline that maximizes the partnership between a retailer and manufacturer. Numerous consumer insights metrics and their use in the sales and marketing processes are examined. A large online consumer panel is utilized to reinforce classroom instruction and provide for consumer understanding in launching a new product.
MSCA 660: Statistical Programming - In addition to learning and applying statistical functions, students will be introduced to the data wrangling process (import/harvest, clean, transform, manipulate, visualize, and model) using data from a variety of structured and unstructured sources primarily using R Programming.
MSCA 689: Data Visualization - In this hands-on introduction to data visualization, key design principles and techniques for interactively visualizing data will be introduced. The major goals of this course are to understand how visual representations can help in the analysis and understanding of complex data, how to design effective visualizations, how to create interactive dashboards & visualizations and how to storyboard and effectively communicate using visualization.
Tuition and Fees
All for one
Students learn from exceptional faculty who have both research and professional experience. They also connect with our 16,000+ network of business graduate alumni for internships and mentorships.
In Scott Beck’s Customer Analytics class, students work with local businesses to, as they say, “Build brands, create jobs and change lives.” It’s all part of the Xavier Mission to give back to the community.
Meet A Mentor
All students are assigned a faculty mentor to ensure their success in the program, which offers networking skills, personal and professional growth over an extended period of time.
Customer Analytics (MS) Program at Xavier University
The MS in Customer Analytics at Xavier University is a 30-hour program that trains and develops future problem-solving leaders. As the size of the digital universe continues to double every two years, and is expected to continue to do so, the need for Practitioners, Data Scientists, Solutions Leaders, and Analysts will continue to grow as well. Xavier will prepare students for these roles.
Xavier University's Williams College of Business is accredited by the AACSB. AACSB-accredited schools offer students a relevant and challenging curriculum, the highest quality faculty and career opportunities that are not found at other business schools.
Xavier University is a private university located in Cincinnati, Ohio, providing a liberal arts education in the Jesuit Catholic tradition. Founded in 1831, the University is the sixth-oldest Catholic university in the nation. It has been ranked among the top 10 master's-level universities in the Midwest by U.S. News & World Report for the past two decades. The Princeton Review names it one of the "Best 385 Colleges in America."