Gonzaga's MIS discipline is launching a redesigned curriculum — a shared two-course foundation, two distinct concentration pathways, and the ability to double-concentrate within your degree.
To earn both concentrations, you must complete at least 9 credits that are unique to one concentration — not shared with the other.
BMIS 301 satisfies the shared core requirement for both the MIS and BA concentrations. Take it once; it counts toward both.
In the MIS path, BMIS 302 can be replaced by BMIS 447 or BMIS 489 — allowing students who take BMIS 302 for BA to satisfy the MIS core with a different course.
All individual requirements for each concentration must be satisfied. Shared credits count toward both, but each concentration's full credit requirement applies.
One example of how to complete both concentrations. Course order and elective selection may vary.
| Legacy Course (discontinued) | → | Counts As in New Structure |
|---|---|---|
| BMIS 331 — Problem Solving with Programming Techniques | → | BMIS 301 — Systems Analysis and Design with Programming |
| BMIS 441 — Database Management | → | BMIS 302 — Database Management and Architecture |
| BMIS 444 — Information Systems Analysis and Design | → | MIS Group 1 Elective |
File course substitutions using the equivalency table above. You'll move to the new structure with added elective flexibility to complete your degree.
BMIS 331 → BMIS 301. BMIS 441 → BMIS 302. BMIS 444 counts as a Group 1 elective. Choose one more elective to finish under the new structure.
All legacy BA courses continue to be offered through the transition period. You may complete under your original catalog year — no changes required, no graduation delay.
Introduces students to how organizations analyze business needs and develop technology solutions. Covers the phases of systems development, requirements gathering, process modeling, and infrastructure evaluation alongside a foundation in programming — including problem-solving strategies, functions, classes, and object-oriented concepts. Students leave able to bridge the gap between a business problem and a technical solution.
Develops foundational competency in relational database design, SQL querying, and database administration — then extends into applied business analytics. Students gain hands-on experience with Power BI dashboards, ETL processes, workflow automation, and the governance principles that underpin responsible data use. Prepares students for upper-division analytics and information systems coursework.
A focused exploration of quantitative methods and analytical tools used to support business decision-making. Students apply data analysis techniques to real business problems, developing the ability to interpret results and communicate findings to non-technical stakeholders. Emphasis on translating data into actionable insight across functional areas including operations, marketing, and finance.
Examines how mobile and web technologies create and disrupt business models. Students develop a working understanding of web and mobile application architecture, user experience principles, and the technical decisions that shape digital products. Includes hands-on exploration of platforms used in modern digital business. Suitable for students interested in product management, digital strategy, or entrepreneurship.
A capstone-style applied experience in which students complete a substantive analytics project from data collection through final recommendation. Working individually or in small teams, students demonstrate competency across the full analytics workflow — scoping, cleaning, modeling, visualizing, and presenting results. Projects may be sourced from industry partners, faculty research, or student-proposed problems.
Rather than treating artificial intelligence as an abstract concept, this course puts students in direct contact with the tools, workflows, and decision frameworks reshaping professional practice. Industry practitioners co-teach modules from their own domains — accounting, finance, marketing, operations, HR, and law, among others. Faculty provide the analytical framework; practitioners bring real-world implementation experience.
A rotating special topics course designed to respond to emerging trends, unique opportunities, or industry partnerships that fall outside the standard curriculum. Topics vary by semester and may focus on areas such as cybersecurity, emerging platforms, AI applications, or specialized industry contexts. Check the current semester's topic before enrolling. May be repeated for credit when the topic differs.
How organizations translate business needs into technology solutions — with a foundation in programming and systems thinking built for business students.
Database development, SQL, and the applied analytics tools that connect data infrastructure to real business insight.
Rather than treating AI as an abstract concept, this course puts students in direct contact with the tools, workflows, and decision frameworks reshaping professional practice. Industry professionals co-teach modules from their own domains.
Faculty provide the analytical framework and synthesis. Practitioners bring real-world implementation experience. Students graduate knowing how AI is actually being used — not just what it is.
Contact the MIS discipline through the School of Business Administration. Questions about specific student situations — equivalencies, substitutions, or degree audit updates — should be directed to the registrar's office.