Dr. Krishnanand (Kris) Y. Maillacheruvu, Interim Dean
Foster College of Business & Caterpillar College of Engineering and Technology

Dr. Sherri Morris, Interim Dean
College of Liberal Arts and Sciences

Bradley University offers an interdisciplinary graduate program leading to the degree of master of science in Data Science and Analytics. This course of study is designed to prepare students for professional careers in the field or for further study and research.
 
The Data Science and Analytics graduate program provides students with the necessary skills to effectively use large data sets to solve problems and potentially find new insights.
 
Students can concentrate their study in various application areas including: 1) business analytics, 2) computational data science, 3) engineering analytics and 4) logistics analytics.
 
Admission requirements to the Data Science and Analytics program are given below:

• completed at least one semester of calculus
• for the computational data science and engineering analytics concentration, applicants must submit GRE General Test scores taken within the last five years. The applicant may request a GRE waiver under certain circumstances. 

The Engineering Analytics concentration provides students with the skills to analyze and process large-size and complex data, to utilize proper methodology in identifying problems, formulating mathematical or algorithmic models, and to solve problems arising from engineering applications, including product design, process design, manufacturing execution, inventory management, production planning, quality control, economic analysis of engineering decision

In addition to satisfying all the Graduate Education requirements for the degree, all candidates for the master’s degree must satisfy the following departmental requirements:

• At least 30 hours of graduate-level coursework.
• No "D" grades can be counted in the completion of requirements for the degree.
• Every student must take a comprehensive exam as defined and administered by the concentration department that the student is in.
• Students may register for only three courses per semester. Any exceptions must be approved by the appropriate department chair.
• To satisfy the core (breadth) requirement, five courses or 15 credit hours must be taken:

Core (Breadth) Requirements

Course List

Code	Title	Hours
IME 511	Probability and Statistics for Analytics	3.0
CS 541	Python Programming for Data Science	3.0
or CS 560	Fundamentals of Data Science
CS 571	Database Management Systems	3.0
or IME 568	Engineering Analytics 1
MIS 573	Data Visualization for Business Analytics	3.0
Select one of the following:		3.0
MIS 590	Capstone Project for Business Analytics	3.0
CS 594	Capstone Project for Data Science	3.0
or CS 699	Thesis in Computer Science
IME 690	Engineering Data Analytics Capstone	3.0
or IME 691	Research

To satisfy depth requirements, the student must take 15 credit hours from the concentration listed below. No course used to satisfy the core requirement may be counted as one of the courses in this requirement.

Concentration Requirements

Course List

Code	Title	Hours
Required Courses
Select three of the following: 1		9.0
IME 514	Introduction to Operations Research
IME 561	Simulation of Manufacturing & Service Systems
IME 586	Logistics & Supply Chain Systems
ECE 565	Engineering Applications of Machine Learning
Select two electives approved by the student's graduate advisor 2		6.0
CIS 576	Data Management
CIS 580	Digital Society and Computer Law
CS 541	Python Programming for Data Science
CS 560	Fundamentals of Data Science
CS 561	Artificial Intelligence
CS 562	Machine Learning
CS 563	Knowledge Discovery and Data Mining
CS 571	Database Management Systems
CS 572	Distributed Databases and Big Data
ECE 565	Engineering Applications of Machine Learning
ECO 519	Introduction to Econometrics
IME 501	Engineering Cost Analysis
IME 514	Introduction to Operations Research
IME 526	Reliability Engineering
IME 561	Simulation of Manufacturing & Service Systems
IME 568	Engineering Analytics 1
IME 578	Engineering Analytics 2
IME 583	Production Planning and Control
I B 502	Global Trade Management and Analysis
MTG 502	Logistics Tools and Techniques
MTG 506	Marketing Analytics
MTG 507	Customer Analytics
MTG 624	Marketing Decision Making
MTG 640	Obtaining, Analyzing, and Applying Marketing Information
MTH 510	Numerical Methods I
Q M 526	Business Forecasting
Q M 564	Decision Support Systems
Total Hours		15

¹

Three out of the following four courses, that you have not taken to fulfill the common core.

²

For those who choose the thesis option instead of capstone, one elective (3 ch).