Operations Management & Business Analytics Major

Associate Dean: Joseph Bailey, Ph.D.
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

  1. Apply elements of critical thinking.
    2.
  2. Identify common situations in chosen career that could result in ethical dilemma.
    3.
  3. Analyze ethical scenarios and apply frameworks to develop solutions.
    4.
  4. Foster and sustain team environments that are inclusive of ideas from all contributing members.
    5.
  5. Apply leadership skills to motivate and coordinate with other to achieve goals.
    6.
  6. Write professional-grade business documents.
    7.
  7. Develop and deliver effective oral presentations.
    8.
  8. Identify and use appropriate quantitative tools and techniques.
    9.
  9. Use software applications to analyze and solve problems.
    10.
  10. Explain how functional areas interact and drive one another.
    11.
  11. Select and justify the best solution option(s) for a given management problem.
    12.
  12. Classify the sources of uncertainty within a process and apply operations management approaches to manage uncertainty so as to minimize waste and improve efficiency.
    13.
  13. 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:

Course Title Credits
College Requirements
Major Requirements
BMGT332Quantitative Models for Management Decisions3
BMGT385Operations Management3
BMGT430Data Modeling in Business3
BMGT431Data Analytics3
BMGT434Analytics Consulting: Cases and Projects3
or BMGT435 Business Process Simulation
Select one of the following:3
BMGT434
Analytics Consulting: Cases and Projects 1
BMGT435
Business Process Simulation 1
BMGT372
Introduction to Logistics and Supply Chain Management
BMGT403
Systems Analysis and Design
BMGT404
Essential Data Skills for Business Analytics
BMGT485
Project Management
BMGT487
Six Sigma Innovation
BMGT490
QUEST Capstone Professional Practicum (BMGT490H-The Total Quality Practicum) 2
Upper Level ECON Requirements
Select one of the following:3-4
ECON305
Intermediate Macroeconomic Theory and Policy
ECON306
Intermediate Microeconomic Theory & Policy
ECON330
Money and Banking
ECON340
International Economics
Total Credits21-22
1

If not selected in the above requirement

2

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.

Click here for roadmaps for graduation plans in the Robert H. Smith School of Business.

Additional information on developing a graduation plan can be found on the following pages: