The STEM MBA combines the signature pieces of the Broad MBA curriculum with a significant infusion of quantitative curriculum, resulting in a degree experience that prepares our graduates to pursue both management and consulting positions across the technical sector. A matrixed, cross-functional degree plan, using all five departments within the college, provides our STEM MBA students the machine learning, programming, project management, enterprise analytics and data visualization skills they need, paired with our best-in-class MBA core curriculum experience.
If you are interested in the traditional Full-Time MBA program curriculum (non-STEM-designated) you can view it here.
The Broad MBA core curriculum provides the opportunity for STEM MBA students to grow and learn with students from the traditional Full-Time MBA program. This 30+ credit experience, drawing from all five academic departments at Broad, provides a strong foundation in Supply Chain Management, Finance, Marketing, Management, Business Communications, and Accounting.
Both STEM MBA and Full-Time MBA Students will be on 5-person student learning teams during the Fall and Spring semesters of their first year. These teams will be re-sorted each semester, allowing students multiple work opportunities with a greater amount of their peers.
STEM MBA students will pursue a primary concentration in Supply Chain Management, Marketing, and Finance. This 12-credit pathway focuses the academic experience toward the student’s desired post-MBA role and industry.
Each STEM MBA student will complete their degree experience by enrolling in skill-based quantitative courses from across the academic departments, deepening their technical acumen in many aspects of analytical work. This course list is audited annually to ensure maximum utility, access, and ROI for STEM MBA students.
View full course description at the Office of the Registrar.
View full course description at the Office of the Registrar.
View full course description at the Office of the Registrar.
View full course description at the Office of the Registrar.
View full course description at the Office of the Registrar.
View full course description at the Office of the Registrar.
View full course description at the Office of the Registrar.
View full course description at the Office of the Registrar.
View full course description at the Office of the Registrar.
View full course description at the Office of the Registrar.
View full course description at the Office of the Registrar.
View full course description at the Office of the Registrar.
View full course description at the Office of the Registrar.
View full course description at the Office of the Registrar.
View full course description at the Office of the Registrar.
Management of information system projects. Management of project scope, time, cost and quality. Optimization of project resources. Planning and control of projects. Program and portfolio management. Consulting issues for effective project management. Waterfall, lean and agile methodologies are discussed.
View full course description at the Office of the Registrar.
Introduction to pricing, trading strategies, and hedging applications of forward and futures contracts, swaps, and options.
View full course description at the Office of the Registrar.
Derivatives pricing and applications to corporate securities, structured products, and credit default swaps.
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Introduction to the financing and valuation of entrepreneurial startups, venture capital and private equity. How to prepare a successful business plan to raise financing from venture capitalists. Structuring venture capital and private equity deals.
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Advanced topics in the financing of entrepreneurial startups, venture capital and private equity. Valuation for entrepreneurial startups, venture capital and private equity, and institutions. Corporate venture capital. Venture capital investing and fundraising. Private equity investments. Sale of venture capital-backed entrepreneurial firms, and initial public equity offerings.
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Introduction to the analysis of real-world financial data in a variety of settings. Applying textual analysis to large documents, identifying “sentiment” in Google search data, and back-testing trading strategies. Developing the programming skills necessary to both collect and prepare data for analysis. Identifying, downloading, cleaning, and shaping data.
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Advanced application of data analysis to finance. Automating data acquisition, to apply textual analysis to large documents and transcripts. Analyzing weather data, geographic data, corporate patent data, and posts on social media. Examining how the information in these databases is related to financial outcomes.
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Management of multi-business firms, conglomerates and business groups. Mergers and acquisitions, firm scope, strategic alliances, corporate governance and strategic leadership.
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Collection and analysis of marketing research data for marketing decision making. Focuses on marketing research methods for data collection and introductory data analysis.
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Design, management, and integration of pricing into the marketing mix and the revenue yield strategies of the firm. Analytic, empirical and simulation approaches to pricing.
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Analysis of marketing data from a variety of sources for decision making. Use of statistical software to analyze marketing data. Scanner data, data mining, and web site metrics and analytics.
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Advanced quantitative methods for marketing research. Focuses on marketing research for understanding and predicting sales and related marketing variables. Includes multiple regression, logistic regression, time series, and neural network modeling. Emphasis on applications of these techniques using statistical analysis software.
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Advanced quantitative methods for marketing research. Focuses on marketing research methods for enhancing predictive models in marketing research. Includes multivariate statistical methods such as factor analysis, cluster analysis, multidimensional scaling, conjoint analysis, and other approaches. Emphasis on applications of these techniques using statistical analysis software.
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Various topics in marketing research.
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Statistical and computer-based techniques for exploring and understanding very large data arrays in large-scale marketing research projects. Understanding how advanced computer technology, large databases, and statistical methods such as predictive and classification models work together to generate new insights into marketing strategy issues. Emphasis on applications of using statistical analysis software.
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Experimental design, survey/questionnaire design, sampling, and data collection in marketing.
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Strategic sourcing process. Opportunity assessment, spend and requirements analysis, supply market analysis, category sourcing strategy development and implementation. Supplier evaluation and selection.
View full course description at the Office of the Registrar.
Designing and analyzing operations processes. Capacity planning and management, process flow and mapping, value-mapping, quality tools and techniques, dependent demand inventory techniques. Recent developments and data.
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Logistics as a value-adding process that synchronizes demand and supply. Supply chain logistics strategy, information technology, segmental positioning, forecasting and collaborative planning, and customer accommodation.
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Code simulation models in software to support decision making. Simulation concepts, programming, design methods, and results interpretation. Offered second half of semester.
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Integration of logistics, procurement, and operations strategy in the supply chain. Problem solving approaches, decision support tools, and analytical methods. Applications through case studies and computer simulations of supply chain situations in consumer and industrial settings.
View full course description at the Office of the Registrar.
Integration of logistics, procurement, and operations strategy in the supply chain. Problem solving approaches, decision support tools, and analytical methods. Applications through case studies and computer simulations of supply chain situations in consumer and industrial settings.
View full course description at the Office of the Registrar.
Service supply chains. Application of supply chain principles in a service environment. Service design and resource management. Management of the transformation processes. Management of delivery to the final customer.
View full course description at the Office of the Registrar.
The STEM MBA curriculum is focused on quantitative (math, statistics, analytics, etc.) courses, versus the traditional Full-Time MBA which provides additional flexibility to enroll in qualitative courses. The classes and sections offered in both programs are the same, however, the STEM MBA degree limits electives to be more quantitative than qualitative.
While a STEM undergraduate degree is not needed to succeed in the STEM MBA program, we strongly advise an educational and/or professional focus on quantitative preparation. The degree was created to further grow students’ quantitative strengths whilst enrolled in the program.
Kindly apply HERE. Choose “Graduate” and upon entering personal background information, you will reach the third tab named “Other Information.” Choose the Major Preference “Master of Business Administration – Full-Time.” Then, indicate in your optional essay your interest in pursuing a STEM MBA program.
Yes, the STEM MBA has been approved by all state and federal agencies and is eligible for federal financial aid.
Yes. All electives taken must be quantitative ones, either from the directed course list, or via approval from the STEM MBA Managing Director. If a student wishes to take courses outside of the directed course list, they must first ensure their degree requirements for the STEM MBA will be met and meet with the program office to discuss their options.
Yes. Students have the ability to pursue a second concentration, as long as the second concentration’s courses are qualified STEM electives (see list above or contact Program Director) is towards their required electives from the quantitative list.
Yes. After STEM MBA students have earned their 61st credit, they may enroll in up to seven credits in non-quantitative courses (i.e., negotiations, international business, etc.).
Yes. They have the same privileges to enroll in study abroad as traditional Full-Time MBA students do.
Yes. They have the same access to program resources (study rooms, MBA lounge), student resource groups (DEI and Professional Clubs, etc.), and college resources (Palmer Career Center, Dean’s Office).
If you are interested in this option, please make an appointment to speak with an MBA Advisor. Your current academic record will be audited by the MBA Program Office to ensure you qualify to transition to the STEM MBA program, OISS has assured us that your I-20’s can be amended accordingly.
The new degree carries the CIP code: 52.1301, corresponding to Management Science.
Unfortunately not, given that this is a new program, degrees cannot be altered retroactively.
No, the courses required to complete our dual-degree programs do not sufficiently align with the dual degree programs to allow for a STEM MBA dual degree.