Business Analytics - M.S.
Department of Management and Information Systems
A432 Business Administration Building
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 College of Business Administration's Career Services Office.
The program starts with a boot camp two weeks before the regular semester to orient students with requirements and technologies.
Fully Offered At:
- Kent Campus
AACSB International - The Association to Advance Collegiate Schools of Business
- Bachelor's degree in business or in a science, technology, engineering or mathematics discipline from an accredited college or university1 for unconditional admission
- Minimum 3.000 undergraduate GPA on a 4.000 point scale for unconditional admission
- Official transcript(s)
- GMAT scores with minimum 500 overall (40th percentile in verbal and 60th percentile in quantitative sections minimum) or GRE scores
- Goal statement
- 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 admissions, please visit the Graduate Studies admission website. For more information on international admission, visit the Office of Global Education’s admission website.
Students entering the program are expected to have the requisite backgrounds in statistics, mathematics, information systems 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 must complete these requirements before they start on the related program curriculum. 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 take concurrently with the prerequisite courses.
Program Learning Outcomes
Graduates of the program will be able to:
- Develop proficiency in the framing of both the business problem and the analytics problem.
- 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.
- Develop competencies in problem-solving skills and effective verbal and written communications of results to diverse audiences.
|MIS 64018||QUANTITATIVE MANAGEMENT MODELING||3|
|MIS 64036||BUSINESS ANALYTICS||3|
|MIS 64037||ADVANCED DATA MINING AND PREDICTIVE ANALYTICS||3|
|MIS 64038||ANALYTICS IN PRACTICE||3|
|MIS 64060||FUNDAMENTALS OF MACHINE LEARNING||3|
|MIS 64061||ADVANCED MACHINE LEARNING||3|
|MIS 64082||DATABASE MANAGEMENT AND DATABASE ANALYTICS||3|
|MIS 64099||CAPSTONE PROJECT IN BUSINESS ANALYTICS||3|
|Major Electives, choose from the following:||6|
|DATA MINING TECHNIQUES|
|BIG DATA ANALYTICS|
|SEMANTIC ANALYSIS METHODS AND TECHNOLOGIES|
|GLOBAL SUPPLY CHAIN BUSINESS MODELS|
|LEADERSHIP AND ORGANIZATIONAL CHANGE|
|INTERNSHIP IN BUSINESS ANALYTICS|
|Minimum Total Credit Hours:||30|
Minimum 30 credit hours required for the degree is the assumption that a student does not have any unmet requirements she/he needs 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.