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.

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.

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.

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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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.

Admissions

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
1

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 24056, CIS 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.
Coursework
On This Page

Program Requirements

Major Requirements

Major Requirements
BA 64018QUANTITATIVE MANAGEMENT MODELING 3
BA 64036BUSINESS ANALYTICS 3
BA 64037ADVANCED DATA MINING AND PREDICTIVE ANALYTICS 3
BA 64038ANALYTICS IN PRACTICE 3
BA 64060FUNDAMENTALS OF MACHINE LEARNING 3
BA 64061ADVANCED MACHINE LEARNING 3
BA 64082DATABASE MANAGEMENT AND DATABASE ANALYTICS 3
Major Electives, choose from the following:6
BA 54011
SYSTEMS SIMULATION
BA 54050
DATA VISUALIZATION
BA 64028
GLOBAL SUPPLY CHAIN BUSINESS MODELS
BA 64099
CAPSTONE PROJECT IN BUSINESS ANALYTICS
CS 63015
DATA MINING TECHNIQUES
CS 63016
BIG DATA ANALYTICS
ECON 62054
ECONOMETRICS I
EMAT 61010
ENTERPRISE ARCHITECTURE
EMAT 64210
DATA SCIENCE
HI 60411
CLINICAL ANALYTICS
KM 60370
SEMANTIC ANALYSIS METHODS AND TECHNOLOGIES
MGMT 64160
LEADERSHIP AND ORGANIZATIONAL CHANGE
MKTG 65057
MARKETING RESEARCH
Culminating Requirement
BA 64092INTERNSHIP IN BUSINESS ANALYTICS 3
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
Accreditation

AACSB International - The Association to Advance Collegiate Schools of Business

Examples of Possible Careers and Salaries

Chief executives

-10.0%

decline

287,900

number of jobs

$185,950

potential earnings

Data scientists and mathematical science occupations, all other

30.9%

much faster than the average

33,200

number of jobs

$98,230

potential earnings

General and operations managers

5.8%

faster than the average

2,486,400

number of jobs

$103,650

potential earnings

Management analysts

10.7%

much faster than the average

876,300

number of jobs

$87,660

potential earnings

Operations research analysts

24.8%

much faster than the average

105,100

number of jobs

$86,200

potential earnings

Statisticians

34.6%

much faster than the average

42,700

number of jobs

$92,270

potential earnings

Notice: Career Information Source
* 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.
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