Business Analytics (MBA/MS)
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.
| 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 | |
| Business Ethics | ||
| Ethics and Data Analytics | ||
| 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) | ||
| Business Requirement Analysis | ||
| Strategic Use of Database Analytics | ||
| Principles of Analytic Programming | ||
| Applications of Visualization | ||
| Quality in Product Management | ||
| Group Two (Take 0 to 4 Courses) 5 | ||
| Game Theory & Strategy | ||
| Derivative Securities | ||
| Applied Econometrics | ||
| Investment Management | ||
| Applied Portfolio Management | ||
| Interest Rate Risk Management | ||
| Credit Risk Management and Structured Finance | ||
| Analytical Problem Solving | ||
| Forecasting Methods | ||
| Project Management | ||
| Data Driven Decision Making | ||
| Research Methods in Marketing | ||
| Digital Marketing | ||
| Database Marketing Strategy | ||
| Customer Analytics | ||
| Marketing Metrics | ||
| Intro to Operations Management | ||
| Global Logistics | ||
| Purchasing Management | ||
| Inventory Management | ||
| Supply Chain Analytics | ||
| Practicum | 3 | |
| Select one of the following: | ||
| Applications of Visualization | ||
| Quality in Product Management | ||
| 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 supersede school policies.
LEARNING OUTCOMES
- 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. [MBA]
- 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. [MBA]
- 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. [MBA]
- 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. [MBA]
- Communication: Graduates will be able to communicate effectively, orally. Graduates will be able to communicate effectively, in writing. [MBA]
- Use data to drive strategic and tactical business decisions [MS]
- Utilize sophisticated database, data warehousing, data mining, and data visualization methodologies and techniques to capture and apply data as a corporate asset [MS]
- Demonstrate competence with various languages and tools, SQL, R, Tableau, and Python [MS]
- Lead, supervise, and manage information systems projects of varying levels of complexity [MS]
- Demonstrate effective communication skills with technical and non-technical individuals and groups [MS]
- Show ability to effectively collaborate with and provide technical leadership to a variety of business units and organizations [MS]
- Demonstrate a high level of technical aptitude in design, development, and use of information systems components [MS]
- Integrate values and ethics into data analysis and information systems projects and solutions [MS]