MSBA Online

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With the emergence of advanced technologies for capturing and analyzing data, come a wealth of unparalleled opportunities for those with business analytics expertise. MSBA Ranked #12 best in the nation by Fortune

When you pursue a Master of Science degree in Business Analytics (MSBA) from Kent State’s Ambassador Crawford College of Business and Entrepreneurship, you will combine your business skills and analytical expertise. With a master’s in business analytics online, you will increase your viability in a competitive market for sought-after analytics professionals who are needed in all industries and organizations.

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Features of Our Master’s in Business Analytics Online Program

Receive Your M.S. in Business Analytics Online

Kent State’s online MSBA program is offered in the Fall and Spring semesters and is available in person, as well as 100% online. Our online business analytics degree offers the same standard of teaching and learning excellence that is delivered on campus, but with the flexibility of online courses. No GRE/GMAT required!

Our online business analytics degree was designed with the busy working professional in mind. Developed by the same industry-leading faculty who teach on campus, our online program prepares you as a leader in the business analytics field.

THREE-FOCI STEM PROGRAM

Today’s business world is dependent on information and data management. Kent State University’s online MSBA program provides graduates with a holistic knowledge of analytics that balances the analytical, technological, and business knowledge needed to collect valuable information from data and make strategic business decisions based on that data.

With a Kent State online business analytics degree, you will gain the technical, analytical, communication, decision-making and leadership skills you need to be a successful business analyst. The MSBA online and in-person curriculum includes integrative capstone analysis projects, as well as an internship option for more professional development through our on-site Career Services Office dedicated to business students.

With our STEM designation, international F-1 students qualify for OPT (Optional Practical Training), granting them the ability to acquire additional and relevant career experience while at Kent State.

Core Competencies for the Online Business Analytics Degree

By earning your M.S. in business analytics online, you will increase your viability in a competitive market as recruiters regularly seek out those with an MSBA degree.

Data Mining / Machine Learning

Principles of Machine Learning and Data Modeling

Data Structures and Types of Variables
Supervised vs. Unsupervised Machine Learning Modeling
Data Preparation Techniques
Feature Engineering
Evaluation of Machine Learning Models
Optimizing Machine Learning Models
Ensemble Learning
Common Mistakes in Modeling

Regression Modeling

Concepts and Definitions
Performance Metrics
Linear Regression
Generalized Linear Models (GLM)

Classification Modeling

Concepts and Definitions
Performance Metrics
Logistic Regression
k-Nearest Neighbor (k-NN)
Naïve Bayes
Decision Trees (applied to Regression as well)
Random Forrest (applied to Regression as well)
Gradient Boosted Machines (applied to Regression as well)
Support Vector Machines (applied to Regression as well)
Neural Networks (applied to Regression as well)

Recommendation Systems

Concepts and Definitions
Performance Metrics
Apriori algorithm for association data mining

Time Series Analysis

Concepts and Definitions
Performance Metrics
Stationarity, causality, and invertibility
Autoregressive Integrated Moving Average (ARIMA)

Graph Analytics

Concepts and Definitions
Centrality and Connectivity Measures
Application to Social Network Analysis

Text Analytics

Concepts and Definitions
Feature Extraction
Topic Modeling
Sentiments Analysis

Programming and Software Tools

Data Mining, Machine Learning and Quantitative Programming: R and Python

Implementation of the following Data Mining/ Machine Learning methods:

Linear Regression
Generalized Linear Models
Logistic Regression
Decision Trees
Random Forrest
Gradient Boosted Machines
Support Vector Machines
Neural Networks

Implementation of the following Quantitative methods: R and Python

Linear Programming
Integer Programming
Goal Programming
Simulated Annealing
Network Models
Genetic Algorithms/ Programming

Data Preparation General Purpose Programming: R and Python

Calculating Various Statistics and Math Calculations
Calculating Probability Values
Data Input/ Export
Data Cleansing
Data Wrangling and Data Subsetting
Feature Engineering
Applying summarization and Aggregate functions

Database: SQL

Principals of Database Design
Using SQL to Create, Update and Delete Tables
Using SQL to Select a subset of Data
Using SQL to Join Tables
Using SQL to perform various Aggregate Functions

Visualization: R/Tableau/Microsoft Power BI

Using R "ggplot" for explanatory analysis and communicating the insights
Using R "Shiny" for interactive visualization and dash boarding
Using Tableau for explanatory analysis and communicating the insights

Software Repository and Development Platforms: Github/Git

Creating a new repository
Fork and Push changes to a repository
Clone a public project
Send a pull request/ Merge changes from a pull request

Curriculum Structure of the MSBA Online

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M.S. in Business Analytics Online Admission Requirements

Admission to the online MSBA program occurs during the fall and spring semester and is highly competitive. We strongly recommend applying for our online business analytics degree early, as applications are reviewed on a rolling basis throughout the admission cycle. In addition to the online application form and fee, all applicants must submit the following:

Official transcripts from an accredited college or university
Résumé
Two letters of recommendation
Essay of goals and objectives
English score for international applicants (500 TOEFL paper-based, 79 TOEFL IBT, 6.5 IELTS, 110 Duolingo)
GMAT/GRE score is not required for this program.

Please ensure your application materials fully meet the requirements above. We look forward to you joining our master’s in business analytics online program.

A MULTI-DISCIPLINARY GRADUATE PROGRAM

Due to its very multi-disciplinary nature, our online MSBA accepts students with different academic backgrounds, including students with business, engineering, computer science, and other science disciplines. Some previous exposure to information/computer systems, applied statistics/math, and business, through coursework and/or work experience is expected.