Master of Science in Business Analytics
Our Master of Science in Business Analytics (STEM program) can be taken online or in person and will prepare you to utilize dynamic data to drive organizational success.
Enhance organizational performance through data
Through this online Master’s in Business Analytics you’ll be able to apply advanced analytical models to communicate complex results and insights to address problems facing organizational success. Our five specialized concentrations are designed to hone your analytical skills to your specific career path.
Earned the #16 spot for the most affordable online program by analyticsdegrees.org
View Listing$1000s in new scholarships exclusively for adult and post-traditional learners.
View ScholarshipsThis Master of Science in Business Analytics program will prepare you to effectively analyze business data and successfully present information to inform strategic decision-making. The curriculum requires you to evaluate the value of business analytics and the ethical use of data through a Christian lens and consider bias/fairness issues when analyzing data for real-world applications.
In this program, you will focus on applied business analytics, rather than a purely data analytics focus. The five concentrations also allow you to apply analytical concepts to your chosen area of expertise.
Concentrations include:
- Finance & Accounting
- Information Systems
- Management
- Human Resources
- Marketing
The program will culminate in a final capstone course where you’ll work on a large analytics project in your area of expertise. Through an overview course, you’ll learn the basics of programming, coding and database applications. In your following courses, you’ll focus on how to apply these analytics skills to business decisions. Although you’ll learn about the ‘back end’ of data, this program is geared towards the ‘front end’ users of data. You’ll graduate from this program able to explain complex results and insights to move your organization forward.
This flexible program can be completed in 12 months through 8-week online courses. Although we offer courses 100% online, our courses are a collaborative classroom environment - so you can take classes no matter where you’re located, and feel connected at the same time. Plus, no GRE or GMAT are required to apply. That means that you can gain the knowledge you need even while working full-time..
Career Outlook
Big data is everywhere and business analytics skills are needed from entry level positions all the way to the top executives. So, whether you are just starting your career, looking to upskill, or trying to get a better handle on your businesses data to drive strategy decisions, the Master of Science in Business Analytics will equip you with the necessary knowledge and skills.
According to the Bureau of Labor Statistics, Management Analysts, just one of the many possible positions this degree prepares you for, are growing faster than the average, at a projected rate of 14% from 2020 to 2030. Median pay in this role is over $87,000 annually. Market Analyst positions are expected to increase 22%, which is much faster than the average and operations research analysts are expected to grow at 25%!
Prepare yourself for the skills needed for the career of your future and enroll today!
- Online
Entrance requirements
- An awarded bachelor's degree from an accredited higher-education institution in a business related field
- Or a bachelor's degree in a non-business field with the BUS 5130 course, Mastering Analytics and Decision-Making
- The Business Analytics program has a minimum undergraduate GPA of 3.00. (Students below a 3.00 may still be reviewed for consideration.)
Admissions process for graduate school
- Application form available at 7rb.cnof86.com/apply
- Select the Graduate option
- One page essay which should include the following:
- Reason for obtaining a graduate degree
- What are your career goals
- Why are you choosing to pursue your degree at Concordia University
- Current résumé of your education and employment experience
- Two letters of recommendation using this Recommendation Form
- Official transcripts from all institutions of higher education
Accepted into the program
- An official acceptance letter will be emailed to you that will include your Student ID number
- An email from your Admissions Counselor will be sent to you with Next-Step details
- Password information will be sent separately from the Information Technology office which will provide you access to Blackboard, your Concordia email account, and your student portal
- Academic Advising Appointment: Once admitted, you may schedule to meet with your Academic & Career Advisor who will review your degree plan, discuss orientation steps, the CUW student portal, and assist with registering for classes
Please note:
- Graduate entrance exams such as the GRE, are not required
- If you have completed graduate level classes in the last seven years and wish to have them evaluated for possible transfer, please contact your admissions counselor for more information
- Uncommon Scholarships: If you meet qualifications, please complete an application Uncommon Scholarship
This is for students seeking a certification, licensure, or an individual course.
- Please complete an application at 7rb.cnof86.com/apply
- Select the Non-Degree option
- Non-degree applicants only need to submit an application to begin their admission review. Academic transcripts may be requested from admissions to complete our review.
Graduate Admission Office at graduate.admission@cuw.edu or 262-243-4300.
John Fields
MS Applied Data Science, BS Industrial Distribution
Assistant Professor
Phone: (262) 243-4204
Bio
I’m a business leader and data scientist who is helping the next generation to live abundantly in our increasingly complex digital world.
Education
- Ph D - Computer Science, Marquette University (2026)
- MS - Applied Data Science, Syracuse University (2020)
- BS - Industrial Distribution, Texas A&M University (1989)
Contributions
- Chovanec, K. & Fields, J. (2024). Combining Demographic Tabular Data with BERT Outputs for Multilabel Text Classification in Higher Education Survey Data. IEEE Big Data Conference 2024. http://ieeexplor...
- Bennett, E. & Fields, J. Use of AI in Project Management.
- Fields, J. Beyond Shaming in the Algorithmic Fairness Debate: A Review of Solutions to Engage Business and Academia. Inspire and Ignite Leadership Conference.
- Fields, J. (2023). A Survey of Text Classification With Transformers: How Wide? How Large? How Long? How Accurate? How Expensive? How Safe?. In Maria Chiara Caschera (Ed.), (vol. 12,pp. 6518-6531). Piscataway, NJ: IEEE Access. http://ieeexplor...
Presentations
- Fields, J. & Marks, R. (2024). Panel Discussion on AI with Keynote Speaker Dr. Richard Marks (Baylor University). Oral Presentation. Inspire & Ignite Leadership Conference. Macinac Island, Michigan.
- Fields, J. (2024). The Future of Text Classification Beyond ChatGPT. Lecture. Inspire & Ignite Leadership Conference. Mackinac Island, Michigan.
Research Interests
- AI, Machine Learning, and NLP
- Student Success
Teaching Interests
- Business Analytics Programming with Visualization
- Business Analytics Capstone
Kimberly Schave
PhD, CPA (Deaconess)
Director - MS in Accountancy, Assistant Professor
Office: Student Services - CUAA 130
Phone: (734) 995-7438
Bio
CPA with a background in public accounting, non-profit accounting, and higher education budget administration. Rostered Deaconess in the LCMS. U.S. Army Veteran (Military Police, Ohio Army National Guard).
Education
- Ph D - Organizational Leadership-Business Management, Eastern University (2018)
- MA - Theology (Deaconess Certification), Concordia Theological Seminary (2006)
- BBA - Accounting, University of Cincinnati (1993)
- Graduate Certificate in Business Management for Non-Profit Leaders, Washington University (2021)
Contributions
- Schave, K. (2014). Blessings and Curses in Malachi. In Sarah Hinlicky Wilson (Ed.), (Winter 2014 ed.). Delhi, NY: Lutheran Forum.
- Schave, K. (2012). "Vocational Boundaries – The Service of Women in the Lutheran Church – Missouri Synod." In John T. Pless and Matthew Harrison (Ed.), Women Pastors?: The Ordination of Women in Biblical Lutheran Perspective. (3rd Edition ed.). St. Louis, MO: Concordia Publishing House.
Presentations
- Schave, K. (2024). Collaborative Leadership. Lecture. Walgreens Development Days. Virtual.
- Schave, K., Gray, A. & Bialkowski, J., (2023). The Future of the MBA is Flexible. Oral Presentation. 2023 GBC Roundtable Symposium and 2023 PMBA/OMBA Conference. Minneapolis.
- Schave, K. (2021). Courage and Conviction in the Workplace. Oral Presentation. Courage for the Calling - Women's Leadership Institute, Concordia University Wisconsin. Virtual.
- Schave, K. (2016). Community Partnerships and the Mission of the Church. Oral Presentation. Best Practices for Ministry Conference. Phoenix, AZ.
- Schave, K. (2016). Identify, Understand and Intervene. Oral Presentation. Workshop on Domestic Violence and Child Abuse. St. Louis, MO.
Research Interests
- Corporate Social Responsibility/Triple Bottom Line
- Financial Ethics
Teaching Interests
- Accounting
- Business Ethics