Full-Time Program Schedule
Summer I
ISYS 52103: ERP Fundamentals
An introduction to enterprise resource planning systems. Students should gain an understanding
of the scope of these integrated systems that reach across organizational boundaries
and can change how a company does business. Implementation issues are covered, including
the importance of change management.
Elective
Business or Statistics Elective
Fall
ISYS 51003: Data Analytics Fundamentals
Fundamental knowledge and skills in several major areas of business data analytics.
Emphasis on the management and use of data in modern organizations, intermediate &
advanced spreadsheet topics; relational databases & SQL; and programming (such as
Python).
ISYS 55003: Decision Support and Analytics
Analysis of the highest level of information support for the manager-user. A study
of systems providing analytics-based information derived from databases within and/or
external to the organization and used to support management in the decision making.
Application of tools in business analytics, problem solving, and decision making.
Elective
Business or Statistics Elective “Developing Domain Expertise”
Spring
ISYS 58303: Data Management Systems
Investigation and application of advanced database concepts include database administration,
database technology, and selection and acquisition of database management systems.
Data modeling and system development in a database environment.
ISYS 58403: Seminar in Business Intelligence and Knowledge Management
Business intelligence focuses on assessing and creating information and knowledge
from internal and external sources to support business decision making process. In
this seminar, data mining and information retrieval techniques will be used to extract
useful knowledge from data, which could be used for business intelligence, and knowledge
management.
Practicum “Proposing a Solution/Preparing the Data
This course is designed to introduce and engage the student in the practice, application,
and problem solving in the business environment. Hands-on application of a business
problem. Students will gain experience working on, making decisions about, and developing
solutions for business applications. Topics include but not limited to analytics,
data, and information technology.
Elective
Business or Statistics Elective “Developing Domain Expertise”
Summer II
Practicum “Proposing a Solution/Preparing the Data
This course is designed to introduce and engage the student in the practice, application,
and problem solving in the business environment. Hands-on application of a business
problem. Students will gain experience working on, making decisions about, and developing
solutions for business applications. Topics include but not limited to analytics,
data, and information technology.
Professional, Part-Time Course Schedule
Fall – Year One
ISYS 51003: Data Analytics Fundamentals
Fundamental knowledge and skills in several major areas of business data analytics.
Emphasis on the management and use of data in modern organizations, intermediate &
advanced spreadsheet topics; relational databases & SQL; and programming (such as
Python).
ISYS 55003: Decision Support and Analytics
Analysis of the highest level of information support for the manager-user. A study
of systems providing analytics-based information derived from databases within and/or
external to the organization and used to support management in the decision making.
Application of tools in business analytics, problem solving, and decision making.
Spring: Year One
ISYS 58303: Data Management Systems
Investigation and application of advanced database concepts include database administration,
database technology, and selection and acquisition of database management systems.
Data modeling and system development in a database environment.
ISYS 58403: Seminar in Business Intelligence and Knowledge Management
Business intelligence focuses on assessing and creating information and knowledge
from internal and external sources to support business decision making process. In
this seminar, data mining and information retrieval techniques will be used to extract
useful knowledge from data, which could be used for business intelligence, and knowledge
management.
Summer – Year One
ISYS 52103: ERP Fundamentals
An introduction to enterprise resource planning systems. Students should gain an understanding
of the scope of these integrated systems that reach across organizational boundaries
and can change how a company does business. Implementation issues are covered, including
the importance of change management.
Elective
Business or Statistics Elective “Developing Domain Expertise”
Fall – Year Two
Practicum – “Proposing a Solution/Preparing the Data”
This course is designed to introduce and engage the student in the practice, application,
and problem solving in the business environment. Hands-on application of a business
problem. Students will gain experience working on, making decisions about, and developing
solutions for business applications. Topics include but not limited to analytics,
data, and information technology.
Elective
Business or Statistics Elective “Developing Domain Expertise
Spring – Year Two
Practicum – “Solving the Problem and Telling the Story”
This course is designed to introduce and engage the student in the practice, application,
and problem solving in the business environment. Hands-on application of a business
problem. Students will gain experience working on, making decisions about, and developing
solutions for business applications. Topics include but not limited to analytics,
data, and information technology.
Elective
Business or Statistics Elective “Developing Domain Expertise”
Program Overview
The Master of Applied Business Analytics degree will arm students with a solid knowledge
of business analytics, data handling and management, machine learning methods, optimization,
and computing.
Data skills, combined with knowledge of business application modeling and business
problem solving, will enable students to identify, assess, and seize the opportunity
for data-driven value creation in the private and public sectors.
Focus is given to answering questions such as:
- How do we get and transform data for use?
- How to we manage data?
- What are the data telling us?
- How can we put the data to work via modeling?
Two Degree Options
The Master of Applied Business Analytics degree is offered in both a Part-time (5
semesters, 6 hours per semester) basis or a Full-time (1 year, 30 credit hours) basis.

Part-Time Program: Designed for Working Professionals
The Walton Professional MABA is designed for working professionals. The program can
be completed by taking six hours a semester for five semesters (21 months).
Courses are taught through a blended-delivery format with both face-to-face and online
components, so students are in class only one Saturday per month. We work hard to
simplify the logistics of returning to school, so that you can focus on learning.
Additionally, many employers offer tuition reimbursement programs, so check with your
HR department to see if this great benefit is available.