Master of Science in Business Analytics: Big Data, Bigger Results, Brighter Futures
Within the rapidly developing frontier of Big Data, the MS in Business Analytics is a 30-credit-hour degree program that prepares results-driven individuals to influence
strategy, processes and decision-making by exploring relationships through data analysis.
Data, both structured and unstructured, must be analyzed and understood in order to
gain value and insight. Students will learn the technical skills for deriving meaning
from big data, as well as the business knowledge to effectively communicate results
to key stakeholders. Careers in this high-demand field include pricing and revenue optimization specialist, strategy consultant, business
intelligence consultant, business systems analyst and data analyst, among others.
This program is a STEM-designated degree program which qualifies international graduates
for an optional practical training (OPT) extension of 24 months, for a total of 36
What you need to know about the MS in Business Analytics from UD:
- Accreditation from the Association to Advance Collegiate Schools of Business (AACSB International) represents the highest standard for business schools worldwide.
- The program is developed in partnership with SAS
- Graduates can earn a joint certificate from the University of Dallas and SAS
- Classes are designed to prepare students to obtain five industry certifications
- Instructed by experienced scholar-practitioners
- Designed to accommodate working business professionals
Students gain experience using a variety of software programs including SAS Studio,
SAS Visual Analytics, SAS Enterprise Miner, SAS Enterprise Guide, Tableau, Advanced
Microsoft Excel, SQL, along with R and other popular software packages.
Students learn the technical skills for deriving meaning from big data, as well as
the business knowledge to communicate results to key stakeholders. These skills are
taught in variety of contexts including finance, health care, IT and marketing.
Who is the ideal MS in BA candidate?
Individuals with a Master's in Business Analytics:
- Understand and predict trends in large quantities of data.
- Make valuable contributions to companies based on big data analysis.
- Understand today's methodologies and best practices of collecting, analyzing, and
- Make impactful decisions that can change the business directions of large companies.
We are the only university in Texas where students as part of their
coursework will learn not only some of the cutting edge techniques in
business analytics, but will also gain the knowledge to obtain up to
five SAS certifications. Knowledge designed to help students obtain these certifications are embedded in the program. SAS certifications
will not only enhance your knowledge but will also make students that
more marketable in this already high demand field.
The course work addresses the topics addressed on the following
These certifications provide graduates an edge, because many industry employers require
this scope of knowledge. In addition, to various SAS software packages, students gain
experience with other software packages including R, Python, Tableau, Excel and Splunk.
All Master's in Business Analytics graduates gain hands experience through the University
of Dallas capstone experience where they produce solutions for consulting clients.
All master of business analytics students receive support for job placement from the
Office of Personal Career Development.
Business Analytics Resources
Interested in learning more about business analytics? DataCamp provides an introduction to topics such as R, Python and Data Visualization.
Ready to apply for your Master's?
It is so simple to apply to the University of Dallas. We emphasize experience as well
as academic record in the application review process, and if you have a solid business
background a GMAT or GRE score is not required. Our counselors can take you through
the application process step-by-step and guide you on your path toward career advancement.
We encourage you to give them a call today:
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