Description
Business Intelligence and Analytics
2014-2015 Creighton University Catalog 1
Business Intelligence and
Analytics
For the degree of Bachelor of Science in Business Administration with Business Intelligence
and Analytics as the field of concentration, this program is designed to combine the study of
fundamental technical concepts of computer-based business information processing systems
with a broad consideration of the organizational and behavioral issues associated with the design
and management of such systems. It is designed to prepare students for careers in all areas of
information management. Within the BIA concentration, the following tracks are proposed. These
tracks will allow students the option of customizing the program of BIA study to better suit their
interests and career objectives. Substitution for BIA courses may be made only with the approval
from the major advisor and department chair.
Majors in Business Intelligence and Analytics
• B.S., Major in Business Administration with a Concentration in Business Intelligence and
Analytics: Business Analytics Track (http://catalog.creighton.edu/undergraduate/business/
business-intelligence/business-analytics-bs)
• B.S., Major in Business Administration with a Concentration in Business Intelligence and
Analytics: Information Technology Track (http://catalog.creighton.edu/undergraduate/business/
business-intelligence/information-technology-bs)
• B.S., Major in Business Administration with a Concentration in Business Intelligence and
Analytics: Digital Media and Design Track (http://catalog.creighton.edu/undergraduate/business/
business-intelligence/digital-media-design-bs)
Minor in Business Intelligence and Analytics
• Applied Information Technology (http://catalog.creighton.edu/undergraduate/business/business-
intelligence/applied-information-technology-minor)
Courses
BIA 253. Management Information Systems. 3 credits. FA, SP
An introduction to the field of management information systems and the role of information systems
in today's organizations. The course focuses on key concepts including fundamental enabling
technologies, database, software development, decision support and knowledge work-support
systems as well as MIS systems for operations, control, and strategic planning. The organizational
foundations of systems, their strategic role, and the technologies driving change in the business
processes will be discussed. P: So. stdg.
BIA 354. Data and Information Management. 3 credits. FA, SP
Course develops both skill and knowledge relative to data base design and management. P: BIA 253;
Jr. stdg.
2 Business Intelligence and Analytics
BIA 366. Business Intelligence and Analytics Internship. 3 credits. FA, SP, SU
The course is designed to provide students with practical business intelligence & analytics (BI&A)
experience by applying information technology/analytics concepts and technical skills learned in the
classroom. It requires 150 hours with an employer, designated class meetings, written assignments,
and oral presentations. Although the college will try to help a student obtain an internship, the
responsibility for finding the internship lies with the student. Credit for this class is dependent upon
a) an interview with the sponsoring employer, b) relevance of the internship to the students BI&A
course work, and c) approval by the chair of the BIA department. The course is graded satisfactory/
unsatisfactory and only 3 hours of internship credit may be used to satisfy graduation requirements.
Enrollment is limited. P: Jr. or higher standing; IC.
BIA 375. Business Application Development. 3 credits. FA
This course provides students with an introduction to business application development using
object-oriented programming. The key concepts covered by this course include algorithms and their
relationship to basic object-oriented programming concepts, objects and classes, control structure,
input and output, exception handling, expressions, and graphic interface design. P: Jr. stdg.
BIA 459. Information Systems Analysis and Design. 3 credits. FA, SP
An applied study of the process of information systems development. Lectures, discussions, readings
and exercises will address the areas of information analysis, requirements determination, detailed
logical design, physical design, implementation planning, computer technology and organizational
behavior. Through regular deliverables associated with the cumulative project file of a running case,
students will follow a widely used structured development methodology (the data flow diagramming
approach) in conducting team-oriented systems analysis and design projects. P: BIA 253; Jr. stdg.
BIA 464. Decision Support and Expert Systems. 3 credits.
Concepts needed to develop skills in designing and using decision support systems and expert
systems in the context of business decision making. P: BIA 253; Sr. stdg.
BIA 470. Data Communications and Networks. 3 credits.
This course provides an introduction to the concepts and terminology in data communication,
networks, network design, and distributed information systems. These topics include equipment,
protocols and architectures, transmission alternatives, the communication environment, regulatory
issues, and network pricing and management. A combination of lectures, discussions, presentations,
and student projects will be used to understand the dynamic field of data communications and issues
surrounding it. P: BIA 354 or IC.
BIA 479. Seminar in Decision and Information Technology. 3 credits. FA, SP
The integration and application of current topics in management science, systems analysis and
design, or computer and communication technology with a focus on improving decision-making
effectiveness in a real-world environment. Past seminar topics include: Web Technologies, Java
Programming, E-Business, Business Data Mining, Computer System Architecture and Organization,
Neural Networks, Human Factors in IS, and Wireless Technologies. This course is repeatable as long
as topic differs (12 credits). P: BIA 253; Sr. stdg.
BIA 481. Web Technologies. 3 credits.
As the interest in websites becomes more widespread, so have peoples' expectations. It is
increasingly obvious that the functionality provided by HTML is insufficient. This is particularly true as
more and more websites are used to interact with databases. Many scripting and actual programming
languages and environments such as CGI, Javascript, Flash, and Flex are being turned to as they
can provide the added functionality demanded by todays' commercial websites. This course will
explore these and other technologies and use them to create websites. P: Sr. stdg. or IC.
2014-2015 Creighton University Catalog 3
BIA 482. Wireless Technology and Mobile Commerce. 3 credits.
The purpose of this course is to explore the impact of wireless and mobile e-commerce on the
ways in which business is conducted in this electronic era, as well as the technologies involved in
developing systems that will support this new way of doing business. This exploration is designed
to give the student: a) an appreciation for the use of wireless technologies in achieving business
objectives and changing the way business strategies are being implemented, b) an understanding
of the various technologies used in mobile e-commerce, and c) technical skills for developing and
deploying wireless and mobile e-commerce systems. This course aims to provide the student
with a balanced coverage on both the managerial and technical issues relevant to wireless and
mobile e-commerce. Upon finishing the course, the student is expected to have a good grasp on the
strategic, managerial and technical issues in the design and implementation of wireless and mobile e-
commerce systems. P: BIA 253, BIA 375.
BIA 483. Managing Information Resources. 3 credits.
This course focuses on the managerial issues faced by business and information systems (IS)
managers in today's technology rich business environment. Special emphasis is placed on
information as a critical resource and on its role in policy and strategic planning. The course
discusses the issues and techniques relevant to the effective management of information resources.
It will take a broad perspective by examining the internal, external, and strategic planning issues
involved in IS resource management. The course will also use Harvard Business School cases
and other cases to explore the managerial, technical, behavioral issues relevant to IS resource
management. P: BIA 253 or equivalent.
BIA 484. Business Intelligence and Data Analytics. 3 credits.
The purpose of this course is to deal with the issue of extracting information and knowledge from
large databases. The extracted knowledge is subsequently used to support human decision-making
with respect to summarization, prediction, and the explanation of observed phenomena (e.g. patterns,
trends, and customer behavior). Techniques such as visualization, statistical analysis, decision trees,
and neural networks can be used to discover relationships and patterns that shed light on business
problems. This course will examine methods for transforming massive amounts of data into new
and useful information, uncovering factors that affect purchasing patterns, and identifying potential
profitable investments and opportunities. P: BUS 229 and BIA 253.
BIA 485. Applications of Artificial Intelligence. 3 credits.
The course will provide a survey of the theory and applications of artificial intelligence in the business
decision environment, with an emphasis on artificial neural networks. Students will engage in reviews
of current expository and research literature in the area and will attain hands-on experience with
computer packages supporting the creation of these types of systems. Neural network design
projects will be required of all students. P: MTH 245, BIA 253, BIA 375 and Sr. stdg.
BIA 486. Managerial Decision Modeling. 3 credits.
This course constitutes an introduction to several basic, widely applicable analytical problem-
solving methods, including linear programming, network analysis, decision analysis and Monte
Carlo simulation. Course coverage places emphasis on developing an ability to represent business
problems in a formal framework, allowing for the application of analytical methods in support of
decision-making, and on critical interpretation of the results of such decision analysis, in the context
of business management. As part of this coverage, students work extensively on solving problems
with MS Excel. P: BIA 253 and BUS 229.
4 Business Intelligence and Analytics
BIA 491. Seminar in Decision and Information Technology: A Campus and Travel Course. 3
credits.
This major elective is designed to provide a capstone travel experience in which students make on-
site visits to a variety of organizations known for their business leadership and innovative practice in
the field of marketing. The overall aim is to complement a student's campus-based study of marketing
concepts, processes, activities, and organizations. The course typically includes approximately 15
hours of on-campus study prior to and after the travel portion of the course. The travel portion of
the course may involve various destinations. P: Senior standing; Marketing majors only; Instructor
approval.
BIA 493. Directed Independent Readings. 1-3 credits. OD
This is a directed readings course that investigates current developments in management information
systems. The course permits individual students to pursue areas of interest within the field of
management information systems in greater depth than is covered in the normal curriculum. It also
permits a student to do independent research on a specialized topic not ordinarily treated in regular
course offerings P: QPA of 3.0 or better; Sr. stdg.; DC and Dean's approval.
BIA 497. Directed Independent Research. 1-3 credits. OD
Supervised independent research on topics beyond the regular course coverage. Course is limited to
students who have a QPA or 3.0 or better. P: Sr. stdg; DC and Dean's approval.
BIA 499. Practicum in Business Intelligence & Analytics. 1 credit. FA, SP, SU
This course is designed to provide students with practical understanding and exposure to business
applicability of concepts, methods and techniques in BIA. Students attend lectures and seminars,
visit businesses, and participate in dialogues with business leaders to further their understanding of
BIA. Students keep a journal of their reflective thoughts after attending lectures, discussions, and
interactions with industry representatives. This course is graded satisfactory/unsatisfactory. This
course can only be taken once for credit and can not be repeated. P: At least one BIA course at 300
level or above, IC.
doc_757214777.pdf
Business Intelligence and Analytics
2014-2015 Creighton University Catalog 1
Business Intelligence and
Analytics
For the degree of Bachelor of Science in Business Administration with Business Intelligence
and Analytics as the field of concentration, this program is designed to combine the study of
fundamental technical concepts of computer-based business information processing systems
with a broad consideration of the organizational and behavioral issues associated with the design
and management of such systems. It is designed to prepare students for careers in all areas of
information management. Within the BIA concentration, the following tracks are proposed. These
tracks will allow students the option of customizing the program of BIA study to better suit their
interests and career objectives. Substitution for BIA courses may be made only with the approval
from the major advisor and department chair.
Majors in Business Intelligence and Analytics
• B.S., Major in Business Administration with a Concentration in Business Intelligence and
Analytics: Business Analytics Track (http://catalog.creighton.edu/undergraduate/business/
business-intelligence/business-analytics-bs)
• B.S., Major in Business Administration with a Concentration in Business Intelligence and
Analytics: Information Technology Track (http://catalog.creighton.edu/undergraduate/business/
business-intelligence/information-technology-bs)
• B.S., Major in Business Administration with a Concentration in Business Intelligence and
Analytics: Digital Media and Design Track (http://catalog.creighton.edu/undergraduate/business/
business-intelligence/digital-media-design-bs)
Minor in Business Intelligence and Analytics
• Applied Information Technology (http://catalog.creighton.edu/undergraduate/business/business-
intelligence/applied-information-technology-minor)
Courses
BIA 253. Management Information Systems. 3 credits. FA, SP
An introduction to the field of management information systems and the role of information systems
in today's organizations. The course focuses on key concepts including fundamental enabling
technologies, database, software development, decision support and knowledge work-support
systems as well as MIS systems for operations, control, and strategic planning. The organizational
foundations of systems, their strategic role, and the technologies driving change in the business
processes will be discussed. P: So. stdg.
BIA 354. Data and Information Management. 3 credits. FA, SP
Course develops both skill and knowledge relative to data base design and management. P: BIA 253;
Jr. stdg.
2 Business Intelligence and Analytics
BIA 366. Business Intelligence and Analytics Internship. 3 credits. FA, SP, SU
The course is designed to provide students with practical business intelligence & analytics (BI&A)
experience by applying information technology/analytics concepts and technical skills learned in the
classroom. It requires 150 hours with an employer, designated class meetings, written assignments,
and oral presentations. Although the college will try to help a student obtain an internship, the
responsibility for finding the internship lies with the student. Credit for this class is dependent upon
a) an interview with the sponsoring employer, b) relevance of the internship to the students BI&A
course work, and c) approval by the chair of the BIA department. The course is graded satisfactory/
unsatisfactory and only 3 hours of internship credit may be used to satisfy graduation requirements.
Enrollment is limited. P: Jr. or higher standing; IC.
BIA 375. Business Application Development. 3 credits. FA
This course provides students with an introduction to business application development using
object-oriented programming. The key concepts covered by this course include algorithms and their
relationship to basic object-oriented programming concepts, objects and classes, control structure,
input and output, exception handling, expressions, and graphic interface design. P: Jr. stdg.
BIA 459. Information Systems Analysis and Design. 3 credits. FA, SP
An applied study of the process of information systems development. Lectures, discussions, readings
and exercises will address the areas of information analysis, requirements determination, detailed
logical design, physical design, implementation planning, computer technology and organizational
behavior. Through regular deliverables associated with the cumulative project file of a running case,
students will follow a widely used structured development methodology (the data flow diagramming
approach) in conducting team-oriented systems analysis and design projects. P: BIA 253; Jr. stdg.
BIA 464. Decision Support and Expert Systems. 3 credits.
Concepts needed to develop skills in designing and using decision support systems and expert
systems in the context of business decision making. P: BIA 253; Sr. stdg.
BIA 470. Data Communications and Networks. 3 credits.
This course provides an introduction to the concepts and terminology in data communication,
networks, network design, and distributed information systems. These topics include equipment,
protocols and architectures, transmission alternatives, the communication environment, regulatory
issues, and network pricing and management. A combination of lectures, discussions, presentations,
and student projects will be used to understand the dynamic field of data communications and issues
surrounding it. P: BIA 354 or IC.
BIA 479. Seminar in Decision and Information Technology. 3 credits. FA, SP
The integration and application of current topics in management science, systems analysis and
design, or computer and communication technology with a focus on improving decision-making
effectiveness in a real-world environment. Past seminar topics include: Web Technologies, Java
Programming, E-Business, Business Data Mining, Computer System Architecture and Organization,
Neural Networks, Human Factors in IS, and Wireless Technologies. This course is repeatable as long
as topic differs (12 credits). P: BIA 253; Sr. stdg.
BIA 481. Web Technologies. 3 credits.
As the interest in websites becomes more widespread, so have peoples' expectations. It is
increasingly obvious that the functionality provided by HTML is insufficient. This is particularly true as
more and more websites are used to interact with databases. Many scripting and actual programming
languages and environments such as CGI, Javascript, Flash, and Flex are being turned to as they
can provide the added functionality demanded by todays' commercial websites. This course will
explore these and other technologies and use them to create websites. P: Sr. stdg. or IC.
2014-2015 Creighton University Catalog 3
BIA 482. Wireless Technology and Mobile Commerce. 3 credits.
The purpose of this course is to explore the impact of wireless and mobile e-commerce on the
ways in which business is conducted in this electronic era, as well as the technologies involved in
developing systems that will support this new way of doing business. This exploration is designed
to give the student: a) an appreciation for the use of wireless technologies in achieving business
objectives and changing the way business strategies are being implemented, b) an understanding
of the various technologies used in mobile e-commerce, and c) technical skills for developing and
deploying wireless and mobile e-commerce systems. This course aims to provide the student
with a balanced coverage on both the managerial and technical issues relevant to wireless and
mobile e-commerce. Upon finishing the course, the student is expected to have a good grasp on the
strategic, managerial and technical issues in the design and implementation of wireless and mobile e-
commerce systems. P: BIA 253, BIA 375.
BIA 483. Managing Information Resources. 3 credits.
This course focuses on the managerial issues faced by business and information systems (IS)
managers in today's technology rich business environment. Special emphasis is placed on
information as a critical resource and on its role in policy and strategic planning. The course
discusses the issues and techniques relevant to the effective management of information resources.
It will take a broad perspective by examining the internal, external, and strategic planning issues
involved in IS resource management. The course will also use Harvard Business School cases
and other cases to explore the managerial, technical, behavioral issues relevant to IS resource
management. P: BIA 253 or equivalent.
BIA 484. Business Intelligence and Data Analytics. 3 credits.
The purpose of this course is to deal with the issue of extracting information and knowledge from
large databases. The extracted knowledge is subsequently used to support human decision-making
with respect to summarization, prediction, and the explanation of observed phenomena (e.g. patterns,
trends, and customer behavior). Techniques such as visualization, statistical analysis, decision trees,
and neural networks can be used to discover relationships and patterns that shed light on business
problems. This course will examine methods for transforming massive amounts of data into new
and useful information, uncovering factors that affect purchasing patterns, and identifying potential
profitable investments and opportunities. P: BUS 229 and BIA 253.
BIA 485. Applications of Artificial Intelligence. 3 credits.
The course will provide a survey of the theory and applications of artificial intelligence in the business
decision environment, with an emphasis on artificial neural networks. Students will engage in reviews
of current expository and research literature in the area and will attain hands-on experience with
computer packages supporting the creation of these types of systems. Neural network design
projects will be required of all students. P: MTH 245, BIA 253, BIA 375 and Sr. stdg.
BIA 486. Managerial Decision Modeling. 3 credits.
This course constitutes an introduction to several basic, widely applicable analytical problem-
solving methods, including linear programming, network analysis, decision analysis and Monte
Carlo simulation. Course coverage places emphasis on developing an ability to represent business
problems in a formal framework, allowing for the application of analytical methods in support of
decision-making, and on critical interpretation of the results of such decision analysis, in the context
of business management. As part of this coverage, students work extensively on solving problems
with MS Excel. P: BIA 253 and BUS 229.
4 Business Intelligence and Analytics
BIA 491. Seminar in Decision and Information Technology: A Campus and Travel Course. 3
credits.
This major elective is designed to provide a capstone travel experience in which students make on-
site visits to a variety of organizations known for their business leadership and innovative practice in
the field of marketing. The overall aim is to complement a student's campus-based study of marketing
concepts, processes, activities, and organizations. The course typically includes approximately 15
hours of on-campus study prior to and after the travel portion of the course. The travel portion of
the course may involve various destinations. P: Senior standing; Marketing majors only; Instructor
approval.
BIA 493. Directed Independent Readings. 1-3 credits. OD
This is a directed readings course that investigates current developments in management information
systems. The course permits individual students to pursue areas of interest within the field of
management information systems in greater depth than is covered in the normal curriculum. It also
permits a student to do independent research on a specialized topic not ordinarily treated in regular
course offerings P: QPA of 3.0 or better; Sr. stdg.; DC and Dean's approval.
BIA 497. Directed Independent Research. 1-3 credits. OD
Supervised independent research on topics beyond the regular course coverage. Course is limited to
students who have a QPA or 3.0 or better. P: Sr. stdg; DC and Dean's approval.
BIA 499. Practicum in Business Intelligence & Analytics. 1 credit. FA, SP, SU
This course is designed to provide students with practical understanding and exposure to business
applicability of concepts, methods and techniques in BIA. Students attend lectures and seminars,
visit businesses, and participate in dialogues with business leaders to further their understanding of
BIA. Students keep a journal of their reflective thoughts after attending lectures, discussions, and
interactions with industry representatives. This course is graded satisfactory/unsatisfactory. This
course can only be taken once for credit and can not be repeated. P: At least one BIA course at 300
level or above, IC.
doc_757214777.pdf