Business Administration - Data Analytics for Technology Concentration, (MBA)

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Due to increased access to big data, unstructured and structured data, and strategic business decision making, the business analytics discipline has become very important in information systems and industry. These increasingly complex decision making capabilities lead directly to competitive advantage and increased profits. Thus, trained business analysts with skills in addressing data management and business intelligence and analytics are in high demand.

Overview

An MBA is designed for those students who are interested in managerial careers – for those with leadership aspirations and abilities. After completing this program, students will acquire managerial-level knowledge in the core areas of business, and managerial-level skills for data driven decision making , leadership and analysis of the global implications of all business decision making.

For more information about the admission process, requirements and deadlines; program-related expenses, and program details, please visit our MBA website: https://www.memphis.edu/professionalmba/

Program Requirements

A candidate for an MBA degree with concentration in Data Analytics for Technology must complete a total of 42 credit hours (14 courses) as follows:

30 hours of MBA Core courses (10 MBA core courses)
12 hours of concentration courses (4 concentration courses)

Business Administration, (MBA)

An MBA is designed for those students who are interested in managerial careers – for those with leadership aspirations and abilities. After completing this program, students will acquire managerial-level knowledge in the core areas of business, and managerial-level skills for data driven decision making, leadership and analysis of the global implications of all business decision making.

General Information

Program Admission

All MBA applicants must have an undergraduate degree from an accredited college or university.
For details about the admission criteria, admission procedures, required materials and deadlines, please visit the MBA website: https://www.memphis.edu/professionalmba/admissions/index.php.
International applicants will need to satisfy additional requirements, available here: https://www.memphis.edu/graduateadmissions/international/add_requirements.php.

Preparatory Knowledge

There are no prerequisites for the core MBA curriculum. However, students entering the MBA programs are expected to be fluent in the language of business, with a working understanding of key concepts in economics, finance, and accounting. In addition, students are expected to have a working proficiency in statistics.

Program Retention

Students must maintain a cumulative grade point average of 3.00 at the end of each semester of enrollment. In accordance with the Graduate School guidelines, any student not meeting this requirement will be placed on probation.

Students on probation must adhere to an academic plan outlined by their advisor in their next semester of enrollment. A second consecutive semester on probation can result in suspension, and may lead to termination.

MBA Core Courses (30 hours)

ACCT 7080 - Financial/Managerial Acct Mgrs ** Credit Hours: (3)
BA 7501 - Impactful Leadership** Credit Hours: 3
ECON 7100 - Econ for Global Executive ** Credit Hours: (3)
FIR 7155 - Global Financial Mgmt ** Credit Hours: (3)
MIS 7650 - Info Syst Global Enterprise ** Credit Hours: (3)
MKTG 7140 - Global Strategic Marketing ** Credit Hours: (3)
SCMS 7313 - Supply Chain Operations Mgmt ** Credit Hours: (3)
SCMS 7110 - Data Driven Decision Making** Credit Hours: (3)
BA 7503 - Advanced Business Analytics Credit Hours: 3
Notes:
- SCMS 7110 - Intro to Business Analytics ** must be completed before a student enrolls for BA 7503 – Advanced Business Analytics.
- MGMT 7160 - Global Strategic Mgmt ** must be taken during a student’s last semester of enrollment.
MGMT 7160 - Global Strategic Mgmt ** Credit Hours: (3)

Data Analytics for Technology Concentration Courses (12 hours):

MIS 7190 - Programing For Business Credit Hours: (3)
MIS 7660 - Advanced Data Management Credit Hours: (3)
MIS 7620 - Business Machine Learning I ** Credit Hours: (3)
MIS 7621 - Business Machine Learning II Credit Hours: (3)