Christian Brothers University

What you'll study

Students select three graduate-level analytics courses that emphasize data collection and storage, applied analysis for business problems, and professional analytical tools and frameworks. Course topics available include data visualization, operations research, supply chain analytics, database and big data management, introductory data science, and software programming for engineers.

• ECIS 602 Data Visualization (3 credits) — Techniques for processing and visualizing data using software tools to reveal patterns and support decisions.
• ECIS/ENGM 607 Operations Research (3 credits) — Linear models, linear programming, duality, post-optimality analysis, network analysis and simulation for engineering and management problems.
• ECIS/ENGM 634 Supply Chain Analytics (3 credits) — Quantitative methods for managing supply and demand networks, forecasting demand, and cost–benefit analysis for production and distribution decisions.
• ECIS 637 Database and Big Data Management (3 credits) — Survey of DBMS approaches and architectures, an introduction to SQL, query optimization and a database management project.
• ECIS 638 Introduction to Data Science (3 credits) — Practical tools with a review of probability and statistics, data pre-processing, spectral analysis, supervised and unsupervised learning methods, and visualization techniques.
• ECIS 639 Software Programming for Engineers (3 credits) — Introductory Python programming concepts including variables, control flow, functions, file I/O and object-oriented techniques for engineering and IT applications.

Entry requirements

Applicants must submit a graduate program application (selecting Graduate Special/Non-Degree Seeking and indicating certificate pursuit), an official college/university transcript showing a bachelor’s degree, and a current resume or CV.

Career prospects

The certificate prepares students for applied entry- to mid-level analytics positions across sectors such as business, technology, healthcare, finance and operations. Typical roles cited include Data Analyst, Business Intelligence Analyst, Operations Analyst, Reporting and Analytics Specialist, Junior Data Scientist (applied/business-focused), and Data and Systems Analyst. The curriculum emphasizes job-ready skills in analysis, reporting and decision support.

Scholarships & funding angle

The program page does not list specific scholarships. Prospective students should consult the university’s graduate financial aid office and explore employer tuition assistance, institutional aid, and external scholarships that support short graduate certificate study.