IEM+MS BAnDS
Earn a dual degree
Where to begin
The dual degree program requires students to start with an MS IEM admission/acceptance with IEM courses only taken in their first year. They then apply for admission to the MS BAnDS program in the spring semester of their first year (before March 1) and if accepted into the MS BAnDS program, they then begin taking BAnDS classes along with IEM classes in their second year. Students can anticipate to graduate with an MS IEM degree by the end of their second year and exclusively enroll in BAnDS classes during their 3rd year. Graduation from the MS BAnDS degree occurs at the end of the 3rd year.
Students in the dual degree program will not take STAT 5013 (Statistics for Experimenters 1) or MSIS 5503 (Statistics for Data Science) as the material should be covered in IEM 5003 (Probability and Statistics for Engineers).
Students in the dual degree program will not take MSIS 5303 (Prescriptive Analysis) as material should be covered in IEM 5013 (Introduction to Optimization).
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Year 1 |
Exclusively MS IEM coursework |
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Apply to MS BAnDS before March 1 |
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Year 2 |
Blend of coursework counting towards MS IEM & MS BAnDS degrees |
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Graduate from MS IEM by end of second year |
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Year 3 |
Exclusively MS BAnDS coursework |
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Graduate from MS BAnDS by end of third year |
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Program structure
55 credit hours
BAnDS degree requirements Course Credit hours Semester offered BAN 5400 Practicum in Business Analytics 2 2nd Summer BAN 5560 Research and Communication 1 2nd Fall BAN 5560 Research and Communication 1 2nd Spring BAN 5733 Descriptive Business Analytics 3 2nd Fall BAN 5743 Predictive Business Analytics 3 2nd Spring BAN 5753 Advanced Business Analytics 3 3rd Fall BAN 5763 Advanced Marketing Research Analytics 3 3rd Spring MSIS 5633 Business Intelligence Tools & Techniques 3 1st or 2nd Spring MSIS 5193 Programming for Data Science and Analytics I 3 2nd Fall BAN BAN Elective 3 BAN BAN Elective 3 BAN BAN Elective 3 Choose one of the following three options:
Option 1: Operations Research and Analytics Course Credit hours Semester offered IEM 5003 Probability and Statistics for Engineers 3 2nd Fall IEM 5013 Introduction to Optimization 3 2nd Spring IEM 5703 Discrete System Simulation 3 Option 2: Supply Chain and Logistics Course Credit hours Semester offered IEM 5203 Facilities, Location, Warehouse and Transportation 3 1st Spring IEM 5633 Adv. Production and Inventory Ctr 3 2nd Fall IEM 5763 Supply Chain Strategy 3 1st Spring Option 3: General Industrial Engineering IEM 5603 Project Management 3 IEM 5763 Supply Chain Strategy 3 IEM 5613 Integrated Manuf. and Control Sys. 3 Choose Thesis or Non-Thesis Requirements
Course Credit hours Semester offered IEM Thesis Requirement IEM 5000 Master's Research and Thesis 6 2nd Fall and Spring Non-Thesis Requirement IEM 5723 Data, Process and Object Modeling 3 1st Spring IEM/ETM 5XX3 IEM/ETM Elective 3