Academic Catalog

Data Computing (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 James and Patricia Anderson 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 must have earned an undergraduate degree in a STEM discipline, business discipline, or closely related field from an accredited college or university with a GPA of 3.0 or above. Please visit the program webpage for a complete list of admission requirements.

Prerequisite Knowledge

Applicants from a non-STEM discipline applying for the Data Computing major will need to have successfully completed Calculus I, Calculus II and Elementary Linear Algebra, or the course equivalent at another institution, and have completed significant coursework in computer programming.

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

The GRE is not required for applicants who possess an undergraduate GPA of 3.0/4.0 or above (or the equivalent from a foreign institution). Applicants with a GPA that is below a 3.0/4.0 are reviewed on a case-by-case basis and are expected to provide a GRE score report that is no more than five years old.

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 Data Computing.

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 James and Patricia Anderson 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
DSE 6100Data Modeling and Management3
DSE 6200Modern Databases3
DSE 6300Data Science Applications Development3
Module 3: Electives
Elective courses can come from other tracks of the Data Science & Business Analytics program or from outside the program.6
Module 4: Applied Analytics Practicum
DSE 7500Data Science and Analytics Practicum6
Total Credits30

Electives

ACC 7148ERP Systems and Business Integration3
ACC 7280Accounting Data Analytics3
ACC/TIS 7290Blockchain: An Accounting and Business Perspective3
CSC 5050Algorithms and Data Structures3
CSC 5250Network, Distributed, and Concurrent Programming3
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

*Major courses from the other majors in the MS Data Science and Business Analytics program may also be used to satisfy the elective requirement.

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