Operations Management & Business Analytics Major
Associate Dean: Dr. Victor Mullins
Assistant Dean of Undergraduate Academic Affairs: Dr. Philip Evers
Assistant Dean: Brian Horick
The Operations Management & Business Analytics major will provide students with the knowledge and skills necessary to successfully apply quantitative and statistically based modeling techniques to data and advantageously use the information in the data to drive decision making and improve performance in an era with massive amounts of data. Students with these skills are in high demand and career opportunities exist in the public and private sectors in a variety of industries including energy, finance, insurance, health care, logistics and marketing.
Admission to the Major
See "Admission Requirements" on the Robert H. Smith School of Business page.
Program Learning Outcomes
- Apply elements of critical thinking.
- Identify common situations in chosen career that could result in ethical dilemma.
- Analyze ethical scenarios and apply frameworks to develop solutions.
- Foster and sustain team environments that are inclusive of ideas from all contributing members.
- Apply leadership skills to motivate and coordinate with other to achieve goals.
- Write professional-grade business documents.
- Develop and deliver effective oral presentations.
- Identify and use appropriate quantitative tools and techniques.
- Use software applications to analyze and solve problems.
- Explain how functional areas interact and drive one another.
- Select and justify the best solution option(s) for a given management problem.
- Classify the sources of uncertainty within a process and apply operations management approaches to manage uncertainty so as to minimize waste and improve efficiency.
- Describe and effectively use advanced data modeling techniques to predict and infer from real-world data sets.
Students interested in graduate work in Operations Management & Business Analytics are strongly advised to complete MATH141, MATH240 and MATH241 in addition to the lower level courses required of all Smith School students.
The course requirements for the junior-senior curriculum concentration in Operations Management & Business Analytics are as follows:
|BMGT332||Quantitative Models for Management Decisions||3|
|BMGT430||Data Modeling in Business||3|
|BMGT434||Analytics Consulting: Cases and Projects||3|
|or BMGT435||Business Process Simulation|
|Select one of the following:||3|
|Analytics Consulting: Cases and Projects 1|
|Business Process Simulation 1|
|Introduction to Logistics and Supply Chain Management|
|Systems Analysis and Design|
|Essential Data Skills for Business Analytics|
|Six Sigma Innovation|
|QUEST Capstone Professional Practicum (BMGT490H-The Total Quality Practicum) 2|
|Upper Level ECON Requirements|
|Select one of the following:||3|
|Intermediate Macroeconomic Theory and Policy|
|Intermediate Microeconomic Theory & Policy|
|Money and Banking|
If not selected in the above requirement
Open only to QUEST students
Note: Students who have completed either ECON325 Intermediate Macroeconomic Analysis or ECON326 Intermediate Microeconomic Analysis can substitute these courses for ECON305 or ECON306, respectively. BMGT341 Financial Markets is an approved substitute for ECON330.
In addition to the major requirements listed above, please consult the Summary of Bachelor of Science Degree Requirements (All Curricula) on the College Requirements section or www.rhsmith.umd.edu for a listing of additional Smith School degree requirements that apply to all Smith School majors.