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Business Analytics - M.S.


Unlock the power of data and advance your career with the M.S. degree in Business Analytics. Our program provides students with the knowledge and skills needed to leverage data analytics to make informed business decisions. With coursework designed to build proficiency in data analysis, data mining and data visualization, graduates are well-prepared to meet the demands of today's data-driven business environment. With our certificate, you'll be prepared to pursue a career in data analytics, business intelligence or consulting. Read more...

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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

Kent State's Graduate Business Programs are ranked by U.S. News and World Report.

When you pursue an online 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. Read on for helpful insights about the online MSBA.

The Online MSBA program has received Quality Matters Online Program Design certifications and many courses are Quality Matters certified.

Watch the MSBA Webinar  Read the MSBA Blog


What Is a Master’s in Business Analytics Online?

An MSBA online program prepares students to enter the field of business analytics. The structure of the program provides students with the definitive knowledge they need to obtain information from a given data set and ultimately make informed business decisions.

Unlike an in-person MSBA, all of the coursework is offered in a completely virtual format, providing greater convenience and flexibility, among other advantages.

What Are the Benefits of an Online MSBA Program?

When pursuing your online business analytics degree at Kent State University, you are given the flexibility to complete your studies on your own schedule. The online MSBA program’s required 30 credit hours can be completed in as few as 12 months, or even over multiple years for those wanting to pace themselves.

Learn more from our informational guide to pursuing your M.S. in Business Analytics online at Kent State University today.

What Are the Features of Our Master’s in Business Analytics Online Program?

Receive Your MSBA Online

Kent State’s online MSBA program is offered in the fall and spring semesters. 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! 

Plus, our online business analytics degree was designed with the busy working professional in mind. Developed by the same industry-leading faculty who teach in person, 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 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.

What Are the 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.

The skills you will acquire as part of our MSBA program can be put to use in everything from small businesses and start-ups to Fortune 100 companies, so you will just need to determine your best fit. Additionally, research from the McKinsey Global Institute and the U.S. Bureau of Labor Statistics shows that talent in the field of data analytics is sorely needed, so you can be confident in knowing that the education you will receive through our data analytics courses will open numerous doors for your career.

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 
Applied Probability and Statistics


  • Distributing Functions
  • Normal Distribution 
  • Uncertainty and Confidence Intervals  
  • Conditional Probabilities 
  • Bayesian Probability 
  • Information Entropy 


  • Measures of Central Tendencies 
  • Measures of Dispersion
  • Measures of Skewness 
  • Measures of Dependence 
  • Statistical Significance 
  • A/B Testing 
Databases and Data Processing

Relational Databases 

  • Concepts and Definitions 
  • Entity-Relationship Diagrams 
  • Structured Query Language (SQL)
  • Normalization, Transaction management and Concurrency Control 
  • SQL as an Analytical Tool 
  • Intro to NoSQL Databases and Applications 

Big Data Platforms

  • Big Data Paradigms (e.g., MapReduce) 
  • Big Data Platforms (e.g., Hadoop) 
  • Big Data Extraction/Integration 
Quantitative Algorithms


  • Linear Programming 
  • Duality in Linear Programming 
  • Integer Programming
  • Goal Programming 
  • Simulated Annealing 
  • Network Models 
  • Genetic Algorithms/ Programming 
Business Acumen


  • Practical Case Studies Based on Real-World Data from Different Industries 
  • Formulation of Business Problems to Solve Using Analytics Group Projects 
  • Data Collection and Communication of Findings 
  • Operationalizing Analytical Models in Practice 
  • Common Mistakes in Analytical Modeling 

Upcoming Events

Graduate Programs Week - Spring 2024

Join us for Graduate Programs Week at Kent State University! We will have special webinars, February 19 - 24, dedicated to each of our master's degreesPh.D. program and our new Business Workshop.  Participating in a virtual information session during Graduate Programs Week is a great way to learn more about our graduate business programs. 

The M.S. in Business Analytics Webinar will be held virtually on Wednesday, February 21, at 10 am.

Combine your business skills and analytical acumen to become a professional with a Master of Science degree in Business Analytics (MSBA). By earning a master’s in business analytics, you will increase your viability in a competitive market for sought-after analytics professionals. This webinar will cover both the in-person and online programs. 


Program Information

Program Description

Full Description

The Master of Science degree in Business Analytics provides students with a comprehensive knowledge of analytics that balances the technologies, analytical methods and business expertise needed to glean useful information from data to make strategic business decisions. The language of business today is dependent on information and data management, and the emergence of advanced technologies for capturing, preparing and analyzing data provides unprecedented opportunities for those with business analytics expertise that spans all industries and organizations.

Students in the Business Analytics major gain the technical, analytical, communication, decision-making and leadership skills needed to be successful business analysts. The curriculum includes integrative capstone analysis projects, and there is an internship option for additional professional development through the on-site Career Services Office.


For more information about graduate admissions, visit the graduate admission website. For more information on international admissions, visit the international admission website.

Admission Requirements

  • Bachelor's degree from an accredited college or university1
  • Minimum 3.000 undergraduate GPA on a 4.000-point scale
  • Official transcript(s)
  • Résumé
  • Goal statement
  • Two letters of recommendation
  • English language proficiency - all international students must provide proof of English language proficiency (unless they meet specific exceptions) by earning one of the following:
    • Minimum 550 TOEFL PBT score
    • Minimum 79 TOEFL IBT score
    • Minimum 77 MELAB score
    • Minimum 6.5 IELTS score
    • Minimum 58 PTE score
    • Minimum 110 Duolingo English score

Students entering the program are expected to have the requisite backgrounds in statistics, mathematics, computers and business required for the program. At a minimum, students should have general knowledge of inferential statistics, adequate general business knowledge, basic knowledge of business information systems and technologies and a solid understanding of algebra and general mathematics with some exposure to calculus. Students may fulfill deficiencies in these prerequisites by taking BA 24056CIS 24053, MATH 11012, MGMT 24163 or equivalents as applicable. The business analytics program director may consider concurrent enrollment according to the strength of the student’s baccalaureate curriculum and preparedness and the courses proposed to be taken concurrently with the prerequisites.

Application Deadlines

  • Fall Semester
    • Application deadline: March 15 (international student) and June 15 (domestic student)
  • Spring Semester
    • Application deadline: October 1 (international student) and December 1 (domestic student)

Applications submitted after these deadlines will be considered on a space-available basis.

Learning Outcomes

Program Learning Outcomes

Graduates of the program will be able to:

  1. Identify key characteristics of the business problem.
  2. Identify opportunities and constraints of various data analytical frameworks and tools.
  3. Formulate appropriate data analytic techniques to solve the business problem.
  4. Perform necessary data preparation steps (retrieve, clean and manipulate data).
  5. Demonstrate necessary theoretical knowledge and practical skills to implement several data-analytic frameworks using different tools.
  6. Lead and work with teams to frame the business problem.
  7. Convey in writing the outcomes of analytics for stakeholders.
  8. Use visual outcomes of analytics to communicate orally effective messages for stakeholders.

Program Requirements

Major Requirements

Major Requirements
Major Electives, choose from the following:6
BA 54011
BA 54050
BA 64028
BA 64099
CS 63015
CS 63016
ECON 62054
EMAT 61010
EMAT 64210
HI 60411
KM 60370
MGMT 64160
MKTG 65057
Culminating Requirement
Minimum Total Credit Hours:30

Graduation Requirements 

Minimum 30 credit hours required for the degree is the assumption that students do not have any unmet requirements they need to be successful in the program. The business analytics program coordinator may make further determination of a student’s preparedness for the program and what prerequisite courses, if any, may be required.

Program Delivery
  • Delivery:
    • Fully online
    • In person
  • Location:
    • Kent Campus

AACSB International - The Association to Advance Collegiate Schools of Business

Examples of Possible Careers and Salaries

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General and operations managers


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Management analysts


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Operations research analysts


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* Source of occupation titles and labor data comes from the U.S. Bureau of Labor Statistics' Occupational Outlook Handbook. Data comprises projected percent change in employment over the next 10 years; nation-wide employment numbers; and the yearly median wage at which half of the workers in the occupation earned more than that amount and half earned less.

Commonly Asked Questions About Our Online Business Analytics Degree

If you have further questions about Kent State’s MSBA online, our team has prepared answers below for some of the most frequent queries we receive.

What Careers Can I Pursue with an MSBA Online?

Some of the careers that you could pursue with your M.S. in Business Analytics online degree include the following:

  • Chief executive
  • Data scientist
  • Management analyst
  • Statistician
  • Market research analyst
  • Business intelligence analyst
Can I Transfer Credits from Another Graduate Program to an Online MSBA Program?

Yes, typically graduate credits can be transferred from a previous university or a different Kent State graduate program. When transferring your credit, it is important to note that a maximum of 12 hours can be transferred to your online MSBA.

For more information regarding our transfer credit requirements, please visit the transfer of graduate credit academic policies.

Is a Master’s in Business Analytics Online Valued by Employers?

Yes! Completing your M.S. Business Analytics online will give you an advantage in the job market. Candidates with master’s degrees from accredited universities are sought after by employers, particularly those in the business analytics sector.

With that in mind, our faculty at Kent State University encourage potential students to consider the program that is best suited to their schedule and timeframe, either the in-person or online option. No matter which format you choose, our dedicated faculty are ready to equip you with the tools you need to succeed in the business analytics industry.


Contact us today to learn more about our program.