Baruch College Graduate Bulletin - Fall 2022 / Spring 2023 – CURRENT

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This bulletin is the official Baruch College Graduate Bulletin that all students should reference – do not reference the bulletin listed on the website of CUNY’s University Registrar. For curriculum questions, please contact the Dean’s Office of the applicable school.

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MS in Quantitative Methods and Modeling Program Learning Goals

Operations Research & Mathematical Modeling

Students will be able to effectively model, evaluate, and solve quantitative (business) problems using quantitative modeling methods (e.g. deterministic and probabilistic operations research techniques).

Statistics

Students will be able to correctly apply appropriate statistical methods when defining, solving, and analyzing problems.

Technology Competency

Students will be able to use current technological tools, including spreadsheets and specialized software, when solving problems.

Professional Communication

Students will be able to effectively communicate their problem solving methods and solutions to technical and non-technical audiences.

MS in Quantitative Methods and Modeling Curriculum 31.5 - 38.5 Credits

Preliminary Courses    (7 credits)

Students with appropriate academic background will be able to reduce the number of credits in preliminary requirements.

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MTH

2610

2207

Elements of Calculus
I*
and Matrix4 credits
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STA 9708

Applied Statistical Analysis for Business Decisions3 credits
 


**MTH

2610

2207 is an undergraduate course. Entering students are strongly encouraged to complete a minimum of three credits of calculus before starting the MS program in

order to  

order to waive this math requirement. 

Courses in Specialization  (31.5 credits)

Required    (16.5 credits)  
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BUS 9551

Business Communication I1.5 credits
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CIS 9340

Principles of Database Management Systems3 credits
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OPR 9721

Introduction to Quantitative Modeling3 credits
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OPR 9730

Simulation Modeling and Analysis3 credits
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OPR 9750

Basic Software Tools for Data Analysis (cross-listed with STA 9750)



3 credits
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STA 9700

Applied Regression Analysis3 credits

Electives    (15 credits)

Students can select any OPR, STA, CIS, or MTH course totaling 15 credits. With approval of the department advisor, students may select quantitatively-oriented courses in other areas. Students may also select Graduate Internship courses (BUS 9801 - BUS 9803).

 

 

 

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