Graduate Program (MS)

Master of Science in Customer Analytics

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. Our 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.

Admission Requirements

Admission

Admission

The Master of Science in Customer Analytics is rigorous, highly quantitative and highly selective. We recommend:

  • Completed application
  • Most current resume, uploaded with application
  • Competitive GMAT score, or approved waiver, with appropriate quantitative percentile rank
  • Competitive Undergraduate and/or Graduate GPA
  • Official transcripts and two letters of recommendation

Please have all application materials sent directly to:
Xavier University
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.

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International Admission

International Admission

Admission for International MSCA students needing an F-1 visa requires the following. Students needing an F-1 visa must be fully admitted to enroll in the program. Xavier does not offer conditional admission to graduate business programs.

  1. Complete an online application.
  2. Send the following documents to Xavier:
    • Current resume or CV uploaded to your online application
    • Official GMAT scores, sent directly from the testing service
    • ALL undergraduate/graduate transcripts, in English, sent directly from the University
    • Credential evaluation
    • Official TOEFL or IELTS scores, sent directly from the testing service*
    • 3 letters of recommendation, requested and submitted through the application system
  3. Check your application status page for updates to your application and to see your decision letter. Your application will be considered once all materials have been received. If you have not heard from us within two weeks of submitting your final item, please feel free to contact us. Once you have received an admission letter, proceed to Step 4.
  4. In order to provide you with an I20 you must submit the following materials. For full details on these requirements, please visit the Xavier International Admission website.
    • Copy of passport
    • Official bank statement
    • Financial sponsor statement form
    • SEVIS Record transfer form (transfer students or those coming from an undergraduate institution in the United States only)

*English competency exam requirement can be waived if you have received a previous degree in the United States or have worked in the United States for at least 5 years.

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Curriculum

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.

Prerequisites

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.

Course Number Course Name
MKTG 550 Marketing Strategy
STAT 500 Business Statistics
TUTORIAL Excel Tutorial

Program Courses

Course Number Course Name
Year 1: Fall Semester
BAIS 660 Statistical Programming (R)
MKTG 602 Marketing Research
Year 1: Spring Semester
MKTG 605 Applied Multivariate Analysis
MKTG 640 Consumer-centric Category Mgt
Year 1: Summer Semester
MKTG 664 Consumer Behavior
Course Number Course Name
Year 2: Fall Semester
BAIS 680 Intro Data Mining for Mgrs
BAIS 674 Database Management
Year 2: Spring Semester
BAIS 665 Business Analytics for Managers
BAIS 689 Data Visualization
Year 2: Summer Semester
MKTG 610 Analytics Practicum

 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.)

Sample Courses

BAIS 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.

MKTG 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.

BAIS 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.

BAIS 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 & Fees

Tuition, per credit hour Cost
MBA, MS and non-degree seeking, per credit hour $815
Student Fee, per semester
Graduate Student Association Fee, degree seeking full-time $8
Graduate Student Association Fee, degree seeking part-time $4

The amounts listed are for the 2018-19 school year, and include classes from Summer 2018 though Spring 2019. These amounts are updated to the most recent amounts available. For the full listing, please visit xavier.edu/costs.

Building Leaders to Transform Data into Insights and Actions

Building Leaders

to Transform Data into Insights and Actions

CUSTOMER ANALYTICS PROGRAM

professional network
PROFESSIONAL NETWORK

Over 16,000 graduate business alumni provide a substantial professional network.

convenient
CONVENIENT

Designed to accommodate working professionals, the program offers late afternoon and evening classes that can be completed in just two years.

experiential
EXPERIENTIAL

Students learn from exceptional faculty who have both research and professional experience.

The Value of a Xavier Degree

The program prepares graduates as future problem-solving leaders who know how to harness and communicate the full value of large data sets prevalent in today's data-driven business environment. By utilizing real-world data, students gain the skills, confidence and expertise required to join this growing field and succeed in today's information-sensitive environment.

  • Classes are taught by faculty with both research and professional experience (never by teaching assistants)
  • Over 16,000 graduate business alumni provide a substantial professional network
  • Students are treated as individuals with unique goals, expertise, and needs
  • Faculty and staff are accessible and responsive
  • Xavier's Jesuit identity encourages students to approach business with a strong ethical foundation

Xavier by the numbers

$106,882

MEDIAN SALARY FOR SENIOR MARKETING DATA ANALYSTS

30

CREDIT HOURS REQUIRED FOR THE DEGREE

100%

ALL STUDENTS ARE ASSIGNED A FACULTY MENTOR TO GUARANTEE THEIR SUCCESS IN THE PROGRAM