- Bachelor's degree from an accredited college or university for unconditional admission
- Minimum 3.000 undergraduate GPA on a 4.000 point scale for unconditional admission
- Official transcript(s)
- GMAT or GRE scores1
- Goal statement
- Resume
- Two-to-Three 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 (paper-based version)
- Minimum 79 TOEFL IBT score (Internet-based version)
- Minimum 77 MELAB score
- Minimum 6.5 IELTS score
- Minimum 58 PTE score
For more information about graduate admission, please visit the graduate admission website. For more information on international admission, visit the Office of Global Education's admission website.
| 1 | The GRE/GMAT may be waived for recent (within five years) KSU baccalaureate graduates with a minimum 3.500 overall GPA, and applicants with 3 or more years of relevant work experience. Applicants may transfer credits towards the MSBA or a cognate degree program if admitted into that program. |
Program Learning Outcomes
Graduates of this program will be able to:
- Develop proficiency in the framing of business and analytics problems.
- Provide leadership and decision-making abilities using analytics tools in different business contexts throughout the model lifecycle.
- Develop competencies in identifying data needs and sources, data acquisition and the cleaning and refining of data for analytical processing.
- Develop competencies in analytical model selection, software selection and model building.
- Develop competencies in deploying, validating and interpreting analytical solutions.
The premise of the certificate program is to provide graduates a firm grasp of important analytical techniques and the knowledge of how to best implement, interpret, and communicate them in a variety of business contexts. This goal is pursued using a "Three-Foci Model" design that integrates data analysis, information and data management, and decision-making and leadership. This model can be summarized as encompassing analytics technologies, techniques, and decision-making processes.