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| UIC | University of Illinois at Chicago
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College of Business Administration
| Business Statistics Area-of-Inquiry
of the
PhD Program in Business Administration
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The Business Statistics area is a program in advanced statistical methods.
Each student chooses an area of application such as finance or quantitative marketing; at least four courses are to
be taken in the area of application.
Prerequisites
- Two semesters of introductory statistics (at the level of IDS 270-371, Business Statistics
I-II)
- calculus through partial derivatives and multiple integrals
- linear algebra (at the level of MATH 310 or 320).
Students accepted into the program without the prerequisites must complete them during the first year.
Acceptance of an offer of admission obligates the student to do so.
Requirements
Total Credit Hours
The PhD program requires at least 96 hours from the baccalaureate and at least 64 from the master's.
In the PhD in Business Administration these are typically met as follows.
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| Student enters with: | Baccalaureate | MBA or MS
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| | Core | 48 hours | Less than 48 hours
| | PhD level courses | 32 hours | 32 hours
| | Dissertation hours | 32 hours | 32 hours
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1. Applied Statistics Requirement
The student must demonstrate proficiency in basic applied statistical methods by previous course work
or by taking the following courses: STAT 381-481: Applied Statistical Methods I-II.
2. Breadth Requirement
A four-course breadth reequirement (e.g., four business core courses, no two from
the same functional area). Each student should be sure to include a basic course in the chosen second field, if not already taken.
3. Six Course Depth Requirement
These three courses (which provide the basis for the Qualifying Exam).
STAT 401: Introduction to Probability
- STAT 411: Statistical Theory
- ECON 534: Econometrics I
and any three of the following five courses.
- ECON 535: Econometrics II
- IDS 582 / ECON 537: Bus Research & Forecasting I
- IDS 583 / ECON 538: Bus Research & Forecasting II
- IDS 577: Research Methodology I
- IDS 578: Research Methodology II
Additionally, there must be 32 hours of course work (which may include
Independent Study)
in the Area-of-Inquiry
beyond what has been taken to satisfy the Core Requirements.
The course of study is designed by the student and the student's advisor and includes choice of a second field, e.g.,
Accounting, Economics, Entrepreneurship, Finance, Marketing, Management Information Systems, Operations Management, Real Estate, or Industrial Engineering.
The 32 hours should be a coherent set of eight courses chosen in conjucntion with the student's
adviser.
Typically the student should choose at least four
courses from the chosen second field.
Sample Program
For a student whose second field is finance.
| Fall | | Spring |
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| Year 1 | | |
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| STAT 401 Intro to Prob | depth, 1/6 | STAT 411 Stat. Theory | depth, 3/6
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| ECON 534 Econometrics I | depth, 2/6 | ECON 535 Econometrics II | depth, 4/6
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| depth, 4/6 | breadth, 1/4 | Bus Core Course | breadth, 3/4
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| Bus Core Course in ECON | breadth, 2/4 | Bus Core Course in FIN | breadth, 4/4
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| Year 2 | | |
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| IDS 582 Bus Res & Forecasting I | depth, 5/6 | IDS 583 Bus Res & Forecasting II | depth, 6/6
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| STAT 511 Adv Stat Thy I | PhD, 1/8 | STAT 512 Adv Stat Thy II | PhD, 3/8
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| FIN 510 Investments | PhD, 2/8 | FIN 516 Options & Futures Mkts | PhD, 4/8
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| PhD Level Course | PhD, 5/8 | PhD Level Course | PhD, 6/8
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| Year 3 | | |
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| FIN 512 Portfolio Analysis | PhD, 7/8 | PhD Research |
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| FIN 551 Fin Decision Making | PhD, 8/8 | PhD Research |
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Dissertation research continues until the dissertation is completed.
Examinations
Qualifying Exam
The Qualifying Exam must be taken after one year in the program.
It is based on STAT 401 (probability), STAT 411 (Statistical Theory),
and ECON 534 (Econometrics I).
The texts for these courses are
Hogg, McKean, and Craig's book
on mathematical statistics and Greene's book on econometrics.
Note that this does not mean that the questions on the exams
will be taken directly from these books.
Rather, it is the student's responsibility to become knowledgeable about
the field of statistics in general.
The courses are taught by different instructors at different times.
The exam is not pegged to specific offerings of these courses
but rather tests general
knowledge of probability, statistics, and
econometrics at the level of these courses.
The attainment of such general knowledge marks part of the transition
from being a student to being a professional.
Preliminary Examination: Dissertation Proposal
The exam may be a combination of written and oral. The student's committee
for the Preliminary Exam will be responsible for planning the content of the exam.
So far, the Preliminary Examination in the Business Statistics Area
has consisted of the Dissertation Proposal.
Dissertation
The student is required to register for 32 hours of PhD dissertation research.
Dissertation Defense
The final version of the thesis is deposited
with the Graduate College after the defense.
This may be a few weeks or months later.
Other Course Selection
Approved courses for the 32 hours of course work include courses such as the following.
- ECON 501: Microeconomics I
- ECON 502: Microeconomics II
- ECON 511: Macroeconomics I
- ECON 512: Macroeconomics II
- ECON 535: Econometrics II
- ECON 536: Mathematical Economics
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- IDS 401: Bus Computing II - Data Structures
- IDS 476: Business Forecasting using Time Series Methods
- IDS 507: Adv Systems Analysis
- IDS 511: Query Processing in Database Systems
- IDS 514: Mgmt of Information Systems
- IDS 519: Topics in Information Systems
- IDS 520: Distributed Processing & Telecommunications Systems
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- IDS 571: Statistical Quality Control & Assurance (same as IE 571)
- IDS 582: Bus Resarch & Forecasting I (same as ECON 537)
- IDS 583: Bus Reseearch & Forecasting II (same as ECON 538)
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- IE 566: Advanced Quality Control
- IE 567: Statistical Analysis of Simulation Outputs
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- FIN 510: Investments
- FIN 512: Portfolio Analysis
- FIN 516: Theory of Options & Futures Markets
- FIN 551: Financial Decision Making
- FIN 559: Adv Thy of Options and Futures Contracts
- FIN 583: Workshop on Empirical Issues in Finance
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- MKTG 563: Information for Marketing Decisions
- MKTG 587: Adv Marketing Research
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- STAT 461: Applied Probability Models I
- STAT 462: Applied Probability Models II
- STAT 511: Adv Statistical Theory I
- STAT 512: Adv Statistical Theory II
- STAT 521: Linear Statistical Inference
- STAT 522: Multivariate Statistical Analysis
- STAT 531: Sampling Theory I
- STAT 532: Sampling Theory II
Faculty who have
served as Advisers or on Committees of B-Stat AoI students
For more information on the area-of-inquiry in Business Statistics
or for an application,
contact
PhDbus@uic.edu
References
Robert V. Hogg, Joseph W. McKean and Allen T.
Craig.
Introduction to Mathematical Statistics. 6th ed.
Pearson Prentice Hall, Upper Saddle River, NJ, 2005.
(Available 2004.)
ISBN
# 0-13-008507-3.
William H. Greene.
Econometric Analysis. 5th ed.
Prentice Hall, Upper Saddle River, NJ.
This document is not an official publication
of UIC
but is supplied for informational purposes
by the Coordinator of the Business Statistics Area.
Copyright © 2008 Stanley Louis Sclove
Created 2004: Sept 17
Last edited
2008: Nov 28