Graduate Studies

Applied Statistics and Decision Analytics
2020-2021

Please refer to the Applied Statistics and Decision Analytics graduate program section for information including departmental contact information, list of graduate faculty members, program description, and course descriptions.

Bachelor of Business in Business Analytics/Master of Science in Applied Statistics and Decision Analytics

Requirements for Enrollment
  • A minimum cumulative and major GPA of 3.25 OR
  • A minimum cumulative GPA of 3.0 with a minimum 3.3 GPA in the last 30 hours earned at WIU
Integrated Degree Program Description

Students in the integrated program are allowed to use nine semester hours of B-level and 500-level Decision Sciences classes to satisfy the Bachelor of Business in Business Analytics and the Master of Science in Applied Statistics and Decision Analytics degree. The following courses may be used: DS 435G/B, DS 485G/B, DS 489G/B, DS 490G/B, DS 510B, DS 521B, and DS 523B. The exact bridge courses are determined by the student’s undergraduate and graduate advisor.

Integrated Degree Requirements

I. Core Courses: 21 s.h.

DS 435G Applied Data Mining for Business Decision Making (3)
DS 490G Statistical Software for Data Management and Decision Making (3)
DS 510 Foundations of Business Analytics (3)
DS 521 Data Visualization for Analytics (3)
DS 523 Management Science Techniques and Business Analytics (3)
DS 560 Categorical Data Analysis Using Logistic Regression (3)
DS 580 Predictive Analytics and Time-Series Forecasting (3)

II. Electives: 6 s.h.

(Choose two of the following):
6 s.h. of Graduate Level DS Coursework
ECON 506 Econometrics I (3)
PSY 551 Structural Equation Modeling for the Behavioral Sciences (3)
STAT 471G Introduction to Mathematical Statistics I (3)
STAT 478G Analysis of Variance (3)
STAT 553 Applied Statistical Methods (3)

III. Select one of the following Exit Options: 3 s.h.

A.  Thesis Option
DS 601 Thesis (3)

B.  Internship Option
DS 599 Internship (3)

C.  Capstone Project Option
ECON 507 Econometrics II (3)
or
DS 535 Advanced Data Mining for Business (3)

IV. Other Requirements: 0 s.h.

DS 602 Department Seminar (0), two semesters required
DS 604 Applied Statistics and Decision Analytics Assessment (0)

*Upon approval from the program graduate advisor, students may select elective courses listed above under I and II (excluding those courses that are otherwise used to fulfill the requirements under I and II) or from additional program-specific and related electives from Computer Science, Decision Sciences, Economics, Mathematics, Statistics, or other 500-level graduate courses in Research/Quantitative Methods (Techniques), Applied Business Research, etc., from Law Enforcement and Justice Administration, Management, Marketing, Sociology, Psychology, etc.

TOTAL PROGRAM: 30 s.h.