The Master of Science in Business Analytics at Creighton University, offered through the Heider College of Business, prepares students to transform complex data into actionable business insights and support strategic decision-making. This 33-credit, online, STEM-designated program combines statistical analysis, machine learning, database management, data visualization, and predictive modelling to develop practical business analytics expertise.
Curriculum Structure
Year 1
Students build a foundation in business analytics through courses such as Data Visual Analysis and Visualization, Database Management Systems, and Ethics for Data Analysts. They also develop technical expertise in machine learning and optimisation through Machine Learning and Applications of Optimization Modeling.
Year 2
Students strengthen their analytical and business knowledge through electives in Business Analytics and selected MBA courses. Depending on their previous experience, students may also study Statistics for Data Scientists and Python Programming for Analytics to develop their quantitative and programming skills.
Note: The university indicates that the program can be completed in just over two years but does not prescribe a fixed year-wise course sequence.
Focus Areas
Business analytics, descriptive analytics, predictive analytics, prescriptive analytics, machine learning, data visualization, database management, optimisation modelling, statistical analysis, business intelligence.
Learning Outcomes
Analyse complex datasets, develop predictive and prescriptive models, apply machine learning techniques, manage business databases, interpret statistical findings, communicate analytical insights, support data-driven business decisions, apply ethical practices in data analysis.
Professional Alignment (Accreditation)
STEM Designation: The program is STEM-designated, allowing eligible international graduates on F-1 visas to qualify for the 24-month STEM OPT extension, subject to applicable requirements.
Academic Preparation: The curriculum develops practical competencies in machine learning, data management, statistical analysis, and business decision-making.
Professional Accreditation: Separate program-specific professional accreditation is not stated.
Reputation (Employability Rankings)
U.S. News & World Report 2026: Creighton University identifies its graduate online business programs among the top 45 in the country.
Industry Relevance: The university highlights demand for professionals with business analytics skills across business analysis, marketing management, and data science.
Career Preparation: The program emphasises practical analytical skills, data storytelling, computational thinking, and responsible business decision-making.
At Creighton University, the MS in Business Intelligence & Analytics program is designed to provide students with hands-on experience that translates theory into practice. Students engage in real-world projects, utilize cutting-edge technology, and collaborate with peers to solve complex business problems. The program emphasizes experiential learning through various facilities and tools that enhance your educational journey.
Here are some key components of the experiential learning opportunities available in the program:
- Data Analytics Lab: Access to state-of-the-art software and tools, including Tableau, R, and Python, allowing students to analyze and visualize data effectively.
- Capstone Projects: Work on team-based projects that involve real companies, giving you the chance to apply your skills to solve actual business challenges.
- Internship Opportunities: Collaborate with local businesses and organizations to gain practical experience and build your professional network.
- Field Trips: Participate in visits to industry-leading companies and organizations to see how business intelligence and analytics are applied in real-world settings.
- Research Facilities: Utilize dedicated spaces for research and collaboration, fostering innovation and teamwork among students.
- Library Resources: Access to extensive databases and resources through the Reinert Alumni Memorial Library, supporting your research and learning needs.
- Institute for Economic Inquiry: Engage with faculty and industry experts through seminars and workshops that focus on current trends and practices in business analytics.
Pursuing an MS in Business Intelligence & Analytics at Creighton University opens the door to a wealth of career opportunities in a rapidly growing field. Graduates are well-prepared for roles such as Data Analyst, Business Intelligence Developer, and Analytics Consultant, where they can leverage data to drive strategic decisions and enhance business performance. The demand for skilled professionals in this area continues to rise, making this program a smart investment in your future.
Here’s how Creighton supports your journey toward success:
- Career Services: The university offers dedicated career counseling, resume workshops, and interview preparation to help you stand out in the job market.
- Employment Statistics: Graduates from the program have reported a high employment rate, with many securing positions within six months of graduation. The average starting salary for graduates in this field is around $80,000, reflecting the strong demand for analytics professionals.
- University–Industry Partnerships: Creighton has established partnerships with leading companies in the Omaha area and beyond, providing students with networking opportunities, internships, and real-world projects that enhance learning and employability.
- Accreditation: The program is accredited by the Association to Advance Collegiate Schools of Business (AACSB), ensuring that you receive a high-quality education that is recognized globally.
- Graduation Outcomes: Alumni of the program have gone on to work for top firms in various industries, showcasing the versatility and applicability of the skills gained during their studies.
Further Academic Progression: After completing your MS in Business Intelligence & Analytics, you may choose to further your education by pursuing a PhD in a related field, such as Data Science or Business Analytics. This advanced study can open doors to academic positions, research opportunities, and higher-level roles in industry, allowing you to contribute to the evolving landscape of data-driven decision-making.



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