Loyola students may choose to combine an MBA with a Master of Science in Business Analytics to provide the breadth and depth of knowledge often required of information systems and business data analytics professionals.

CURRICULUM

Students completing the dual degree will earn an MBA with a specialization in information systems and an MS degree.

Course List

Code	Title	Hours
Pre-Requisite Knowledge
ISSCM 400N	Quantitative Methods I 1	0
ISSCM 402N	Quantitative Methods II - Statistics Primer	0
MBA Introductory Courses 1
ACCT 400	Financial Accounting for Business Decisions	3
ECON 420	Managerial Economics 3	3
FINC 450	Financial Management 2	3
MARK 460	Marketing Management	3
SCMG 480	Intro to Operations Management	3
Required MBA Core Coursework
FINC 470N	Business Finance	3
ISSCM 596N	Data Driven Decision Making	3
HRER 417N	Managing and Motivating in the Workplace	3
MARK 425N	Business Communication	1.5
MGMT 426N	Leadership Development	1.5
MARK 470N	Research, Insights and Storytelling	3
MGMT 431N	Business Consulting Course	3
Ethics Course
Select one of the following:		3
ETHC 441N	Business Ethics
INFS 795	Ethics and Data Analytics
MGMT 446	International Business Ethics
MS Business Analytics Requirements
Required Courses 4
INFS 443	Business Analytics	3
INFS 492	Database Systems	3
INFS 494	Data Mining	3
INFS 592	Data Visualization	3
INFS 791	Programming for Business Decision Making	3
INFS 796	Data Warehousing	3
ISSCM 491	Managerial Statistics	3
Electives		9
Group One (Take Up to 5 Courses)
INFS 485	Business Requirement Analysis
INFS 493	Strategic Use of Database Analytics
INFS 691	Principles of Analytic Programming
INFS 797	Applications of Visualization
INFS 798	Quality in Product Management
Group Two (Take 0 to 4 Courses) 5
ECON 522	Game Theory & Strategy
ECON 622 / FINC 622	Derivative Securities
ECON 625 / FINC 625	Applied Econometrics
FINC 452	Investment Management
FINC 553	Applied Portfolio Management
FINC 624	Interest Rate Risk Management
FINC 626	Credit Risk Management and Structured Finance
HRER 490	Analytical Problem Solving
ISSCM 495	Forecasting Methods
ISSCM 484N	Project Management
ISSCM 596N	Data Driven Decision Making
MARK 461	Research Methods in Marketing
MARK 468	Digital Marketing
MARK 562	Database Marketing Strategy
MARK 661	Customer Analytics
MARK 662	Marketing Metrics
SCMG 480	Intro to Operations Management
SCMG 486	Global Logistics
SCMG 487	Purchasing Management
SCMG 488	Inventory Management
SCMG 489	Supply Chain Analytics
Practicum		3
Select one of the following:
INFS 797	Applications of Visualization
INFS 798	Quality in Product Management
BSAD 699	Capstone Master of Business Data Analytics
Total Hours		69

¹

May be waived.

²

Co-requisite:  ACCT 400 Financial Accounting for Business Decisions

³

Pre-requisite:  ISSCM 400N Quantitative Methods I

⁴

Some courses may be substituted based on previous coursework with the permission of the program director.

⁵

Additional courses may be approved by the program director.

Dual Degree Programs

Students in dual degree programs are responsible for abiding by academic policies and graduation requirements of both academic units to which they are enrolled. It is strongly recommended that students schedule regular meetings with academic advisors from both units to ensure timely degree completion. Dual degree programs may have slightly different degree requirements from the standard for one or both of the degrees earned. Students should closely read through all degree requirements and ask for clarification as needed.

Graduate & Professional Standards and Regulations

Students in graduate and professional programs can find their Academic Policies in Graduate and Professional Academic Standards and Regulations under their school. Any additional University Policies supercede school policies.

LEARNING OUTCOMES

Learning Outcomes for the MBA

1. Integrative Business Knowledge: Graduates will be proficient in integrating the techniques, processes, and procedures of the fundamental business disciplines (accounting, economics, finance, marketing, management, human resource management, operations management, and information technology). They will be able to apply theory, skills, and knowledge from these disciplines to business practice.
2. Critical Decision Making: Graduates will demonstrate their capacity for critical analysis in processing, interpreting, and managing the quantitative and qualitative information necessary for effective managerial decision making.
3. Ethics and Responsible Leadership: Graduates will understand how to be a leader in business who exhibits personal integrity, ethical awareness, and an ability to apply ethical principles to business practice.
4. Global Perspective and Awareness of Diversity: Graduates will have a global perspective by recognizing international business issues and appreciating diversity, including culture, race, religion, and gender.
5. Communication: Graduates will be able to communicate effectively, orally. Graduates will be able to communicate effectively, in writing. 

Learning Outcomes for the MS

At the completion of the program, graduates are expected to:  

1. Use data to drive strategic and tactical business decisions;
2. Utilize sophisticated database, data warehousing, data mining, and data visualization methodologies and techniques to capture and apply data as a corporate asset;
3. Demonstrate competence with various languages and tools, SQL, R, Tableau, and Python;
4. Lead, supervise, and manage information systems projects of varying levels of complexity;
5. Demonstrate effective communication skills with technical and non-technical individuals and groups;
6. Show ability to effectively collaborate with and provide technical leadership to a variety of business units and organizations;
7. Demonstrate a high level of technical aptitude in design, development, and use of information systems components;
8. Integrate values and ethics into data analysis and information systems projects and solutions.