Academic Catalog

Advanced Analytics (M.S. in Data Science and Business Analytics)

Analytics is a fast-growing STEM field with a high demand for individuals who possess the skills and expertise necessary to navigate the process of transforming data into insight for making sound business decisions. It's the reason that the WSU College of Engineering and the Mike Ilitch School of Business launched an innovative and interdisciplinary new master's program in data science and business analytics. Leaders in this field use data to fundamentally rethink all facets of business in many sectors, including manufacturing, supply chain, finance, and healthcare.

Admission Requirements

Admission to any graduate program is contingent upon admission to the Graduate School. Applicants should have 3.0 or higher cumulative undergraduate g.p.a.

Prerequisite Knowledge

Candidates are expected to well-versed in basic probability and statistics and also familiar with some programming language. Courses will be available in the summer months for admitted applicants to refresh their knowledge or makeup for any deficiency in this knowledge. 

Students without this prerequisite knowledge but otherwise possess good credentials will be given conditional admission and have to take this remedial coursework in the summer months prior to starting the program in the fall term

Graduate Management Admission Test (GMAT) and Graduate Record Examination (GRE)

Applicants must complete the GRE or the GMAT with minimum scores in the top 75 percentile.

Program Requirements

Students must complete a total of 30 credits in order to earn the M.S. in Data Science and Business Analytics with a major in Advanced Analytics.

The interdisciplinary core includes 9 credits of coursework across business, computer science, and industrial engineering. On top of this integrated breadth of study covering the core areas of data science and business analytics, each student has 9 credits of major courses to give them depth in an engineering, business, or analytics area. Each student's 6 credits of elective choices can be personalized to support their individual career goals. The final piece of the curriculum is a 6-credit applied analytics practicum, in which students will work with companies and organizations on real analytics problems. All course work must be completed in accordance with the regulations of the Graduate School and the College of Engineering 

Module 1: Core Courses
DSB 6000Data Science Strategy & Leadership3
DSA 6000Data Science and Analytics3
DSE 6000Computing Platforms for Data Science3
Module 2: Major Courses
Choose two courses from the following list:6
Introduction to Machine Learning and Applications
Deep Learning
Data Mining: Algorithms and Applications
Intelligent Analytics
Choose one course from the following list:3
Statistical Learning for Data Science and Analytics
Operations Research
Decision Analysis and Simulation
Module 3: Electives
Elective courses can come from other tracks of the Data Science & Business Analytics program or from outside the program. (See the list of approved electives below.)6
Module 4: Applied Analytics Practicum6
Data Science and Analytics Practicum


ACC 7148ERP Systems and Business Integration3
ACC 7280Accounting Data Analytics3
ACC/TIS 7290Blockchain: An Accounting and Business Perspective3
CSC 5050Algorithms and Data Structures3
CSC 5220Fundamentals of Software Testing3
CSC 6800Artificial Intelligence I3
CSC 6860Digital Image Processing and Analysis3
CSC 7220Parallel Computing II: Algorithms and Applications3
CSC 7260Distributed Systems3
CSC 7300Bioinformatics I: Biological Databases and Data Analysis3
CSC 7301Bioinformatics I: Programming Lab1
ECE 7610Advanced Parallel and Distributed Systems3
ECO 7100Econometrics I4
ECO 7110Econometrics II4
ECO 7120Econometrics III4
IE 6010IoT and Edge AI Programming3
IE 6325Supply Chain Management3
IE 6720Engineering Risk and Decision Analysis3
IE 7860Intelligent Analytics3
STA 5830Applied Time Series3
STA 6840Applied Regression Analysis3
TIS 7505Information Analytics: Inbound Information Technology3
TIS 7510Database Management3
TIS 7570Advanced Business Analytics3
TIS 7994Digital Content Development3
TIS 7996Principles for Customer Relationship Management3
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