Curriculum

MSBA Curriculum, for Class Starting Fall 2018

The MSBA program is a three-semester program which can be completed in a single calendar year. Students enter in the Fall term and can either finish their coursework at the end of the following August, or alternatively, have the option to take the Summer term off (e.g. for an internship) and complete their coursework by the end of the following Fall term. Students are required to take the equivalent of 12 three-credit courses (36 credits).

Students must take at least 6 courses within the IEOR Department (18 credits), 4 to 6 courses at the Business School, and the remaining courses (if any) within the School of Engineering, the School of International and Public Affairs, the Law School, or the Departments of Economics, Mathematics and Statistics. Students in residence during the Summer term take 2 to 4 Business School courses in the third (Summer) semester in order to complete their program. To facilitate with academic programming, students should complete a program plan to be reviewed by their advisor.

Core:
IEOR E4501 Analytics Capstone Project (starts first Fall semester, all-year course)
IEOR E4004 Optimization Models and Methods (taken first Fall semester)
IEOR E4106 Stochastic Models (taken first Fall semester)
IEOR E4650 Business Analytics (taken first Fall semester)
IEOR E4522 Python for OR (1.5) (taken first Fall semester)
IEOR E4523 Data Analytics for OR (taken first Fall semester)
ENGI E4000 Professional Development Leadership (MSBA)

Electives:
IEOR E4211 Applied Consulting
IEOR E4407 Game Theoretic Models of Operations
IEOR E4525 Machine Learning
IEOR E4540 Data Mining
IEOR E4574 Cloud Computing
IEOR E4575 Designing Digital Operating Models
IEOR E4577 OR Methods in Marketing
IEOR E4725 Big Data in Finance
CSOR W4231 Analysis of Algorithms
DROM B8111 Analytics for Business Research
DROM B8131 Sports Analytics
DROM B8122 Game Theoretic Business Strategy
DROM B8123 Demand and Supply Analytics
DROM B8127 Big Immersion Seminar - Big Data
DROM B8130 Applied Statistics and Data Analytics
DROM B8132 Digital Healthcare Startups
DROM B8816 Quantitative Pricing and Revenue Analytics
MRKT B8649 Pricing Strategies
MRKT B8696 Data Driven Dollars
MRKT B8617 Marketing Research & Analytics

Additional electives will be announced shortly.

PROGRAM REQUIREMENTS
The Department requires that students achieve grades of B- or higher in each of the three fundamental core courses. Poor performance in these courses is indicative of inadequate preparation and is very likely to lead to serious problems in completing the program. As a result, students failing to meet this criterion will be asked to withdraw from the program.

Breadth Electives:
The breadth electives can be selected from the Business School, the School of Engineering, the School of International and Public Affairs, the Law School, or the Departments of Economics, Mathematics and Statistics.

Electives are selected under the advisement of the student's faculty advisor. Courses taken from the School of Professional Studies will not be counted towards the M.S. degree (i.e. courses with the following prefixes: ACTU, BUSI, COPR, IKNS, SUMA, FUND, and more).

PRIORITY FOR BUSINESS SCHOOL MBA COURSES
All Business school courses listed above are open to MSBA students. MSBA students will enjoy some priority for other business school courses as described below: When courses are under-subscribed by Business School students during pre-registration, the courses are normally eligible for cross-registration by students in other schools. MSBA students will receive priority to register for these courses prior to their being made available to students in other programs and Schools. If more MSBA students wish to enroll in a course than there are seats available, the IEOR department will make the decision on the students who will get the spaces (e.g. based on a lottery or GPA). Only if additional space is available after MSBA students have signed up, then these courses will be made available to other cross-registration students at the University. When courses are subscribed close to capacity during pre-registration, available seats will be open to all students on a first come/first served basis after the first class.


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