MSBA Program Design

The Milgard School of Business MSBA degree integrates STEM (Science, Technology, Engineering, Mathematics) perspective into business education and analysis.

Milgard's MSBA is a diligently designed hybrid, accelerated 9-month or flexible 18-month, work-compatible masters degree. MSBA delivers the ultimate curriculum that will develop the next generation of analytics savvy business analysts, project managers, analytics managers, chief analytics officers, digital talents, and T-shape analytical thinkers and adaptive innovators.

We're using the latest technology to deliver a world-class experience. In this engaging online program you will:

  • This 60% online (asynchronous learning) and 40% in-person (on Saturdays) classes (most onsite classes will be offered on every other Saturday).
  • Class times will be 9:00 am - 12:20 pm and 1:30 pm - 4:50 pm (Autumn Quarter 2017 Time Schedule)
  • Interact with your peers through web conferencing, discussion boards and social media tools
  • Learn to lead and collaborate with teams in a virtual environment
  • Receive regular contact from Milgard’s faculty
  • Participate in online workshops and coaching sessions
  • Weekly synchronous office hours via video teleconferencing

Curriculum

The Milgard School of Business MSBA degree is 40 credits of graduate courses over the course of 9 or 18 months. Based on your eligibility, qualifications and space availability, you may have an option to complete this 40-credit master degree program in one of the following two formats:

  1. Accelerated 9-month full-time program with 40 credits
  2. Flexible 18-month part-time program with (24 + 16 credits) [Part-time status does not fulfill the requirements for international student visas and some forms of funding (e.g. VA benefits)]

PLEASE NOTE, WE WILL DO OUR BEST TO ACCOMMODATE YOUR REQUEST FOR FULL-TIME VS. PART-TIME ADMISSION, HOWEVER THERE IS NO GUARANTEE.

Accelerated 9-month full-time program (40 credits)

 

AUTUMN

WINTER

SPRING

Business

Data

Analytics

Information

TBANLT 520 Analytics Strategy & Big Data Management (4 credits)

TBANLT 530 Business Process & Workflow Analysis (4 credits)

TBANLT 550 Analytical Decision Making (4 credits)

TBANLT 540 Applied Regression Models (4 credits)

TBANLT 560 Data Mining (4 credits)

TBANLT 570 Text Mining (4 credits)

TBANLT 510 Business Analytics (4 credits)

 

TBANLT 580 Social Media Analytics

Knowledge

Wisdom

Practice

Outcome

TBANLT 591 Applied Project: Digital Transformation Lab I (2 credits)

TBANLT 592 Applied Project: Digital Transformation Lab II (2 credits)

TBANLT 593 Applied Project: Digital Transformation Lab III (2 credits)

TBANLT 594 Applied Project: Digital Transformation Lab IV (2 credits)

Flexible 18-month part-time program

[Part-time status does not fulfill the requirements for international student visas and some forms of funding (e.g. VA benefits)]

FIRST YEAR (24 credits)

 

AUTUMN

WINTER

SPRING

Business

Data

Analytics

Information

TBANLT 510 Business Analytics (4 credits)

TBANLT 530 Business Process & Workflow Analysis (4 credits)

TBANLT 550 Analytical Decision Making (4 credits)

TBANLT 540 Applied Regression Models (4 credits)

TBANLT 560 Data Mining (4 credits)

TBANLT 570 Text Mining (4 credits)

SECOND YEAR (16 credits)

 

AUTUMN

WINTER

SPRING

Business

Data

Analytics

Information

TBANLT 520 Analytics Strategy & Big Data Management (4 credits)

 

TBANLT 580 Social Media Analytics (4 credits)

Knowledge

Wisdom

Practice

Outcome

TBANLT 591 Applied Project: Digital Transformation Lab I (2 credits)

TBANLT 592 Applied Project: Digital Transformation Lab II (2 credits)

TBANLT 593 Applied Project: Digital Transformation Lab III (2 credits)

TBANLT 594 Applied Project: Digital Transformation Lab IV (2 credits)

 

Summary of Courses

Business, Data, Analytics, and Information Courses

Course Number

Course Title

Credits

TBANLT 510

Business Analytics

Focuses on foundations of evidence based management. Explains the concepts with innovative uses of information systems, data, information, knowledge and analytics to support managerial decision-making. Explores how to collect, store, manage and convert data to information, knowledge and actionable insights.

4

TBANLT 520

Analytics Strategy and Big Data Management

Gartner Research indicates that more than 50% of Business Analytics (BA) projects fail due to not following fundamental project management principles. Focuses on how organizations need to make analytics part of their organizational strategy, and how they can implement analytics projects successfully by following sound project management principles. It focuses on strategy definition, initiating, planning, executing, controlling and completing analytics projects in a variety of environments for sustainable competitive advantage.

4

TBANLT 530

Business Process and Workflow Analysis

Focuses on how organizations can evaluate, design and implement sound business process management practices, and integrate analytics into their business processes and workflows for maximum performance. The course will also cover Service Oriented Solutions (e.g. dynamic business processes, architectures and infrastructures), data and predictive model ownership issues, embedding analytics in business processes, alignment of business process management with corporate strategy.

4

TBANLT 540

Applied Regression Models

Focuses on statistical foundations of decision making processes. Topics will include, but are not limited to:  multiple linear regression, models for quantitative and qualitative predictors, building regression models, autocorrelation, non-linear regression, piecewise linear regression, inverse prediction, weighted least squares, ridge regression, robust regression and non-parametric regression.

4

TBANLT 550

Analytical Decision Making

Focuses on the skills and knowledge necessary for mastery of the use of quantitative modeling tools and techniques to support decision analysis. Some of the deterministic optimization techniques (e.g. linear, nonlinear, integer optimization, network models) and uncertain decision making techniques (e.g. decision trees, transportation models, queuing theory) are covered.

4

TBANLT 560

Data Mining

Focuses on some of the primary business data mining topics (descriptive, predictive and prescriptive) through advance analysis of applied, realistic datasets in areas like demand forecasting, credit scoring, customer relationship management, financial analysis, healthcare and supply chain management.

4

TBANLT 570

Text Mining

This course will cover the basic concepts, principles, and major algorithms in text mining. These will be used to discover interesting patterns, extract useful knowledge, and support decision making.

4

TBANLT 580

Social Media Analytics (will be offered during AY 2017-18)

Focuses on some of the primary concepts, methods, tools and solutions to develop a social media strategy, and to collect, process and transform social media data into information processes, knowledge, actionable decisions and processes. It also covers how organizations make use of social media as a strategy to gain a competitive advantage.

4

 

OR

 

TBANLT 585

Cognitive Analytics (will not be offered during AY 2017-18)

Evaluate the concepts with innovative uses of cognitive solutions to either solve existing business problems or create new business opportunities, and improve the performance of organizations. Analyze how to utilize cognitive tools, assistants, collaborators and coaches effectively.

4

 

Total Credits

32

 

Knowledge, Wisdom, Practice, and Outcome Courses

TBANLT 591

Applied Project: Digital Transformation Lab I

Focuses on how to apply the concepts, methods and solutions associated with data, analytics, smart machines and digital solutions to real opportunities in an application domain. Topics will include, but are not limited to: analysis of organization and market demand, business model development, opportunity analysis for digital transformation.

2

TBANLT 592

Applied Project: Digital Transformation Lab II

Focuses on processes performed to analyze and plan digital transformation and innovation to a wide variety of opportunities and challenges. Topics will include, but are not limited to: requirements gartering, defining scope, risk analysis, detailed transformation and technology planning.

2

TBANLT 593

Applied Project: Digital Transformation Lab III

Focuses on processes performed to design and develop data and digital solutions to a wide variety of opportunities and challenges. Topics will include, but are not limited to: collection, storage, analysis of data and development of digital solutions.

2

TBANLT 594

Applied Project: Digital Transformation Lab IV

Focuses on processes performed to prototype data and digital solutions to a wide variety of opportunities and challenges. Topics will include, but are not limited to: develop, prototype and lessons learned, analyze findings, recognize ethical dilemmas and social responsibilities.

2

 

Total Credits

8

 

TBANLT 590

Special Topics in Business Analytics

The special topics offerings provide MSBA students the opportunity to explore a variety of academic subjects based on the current interests and teaching expertise and scholarly research of faculty.  The size and structure of the class will vary according to the subject offered and the instructor. Topic will vary. Content to be announced in advance of scheduled offerings.

2-4 max. 4

TBANLT 600

Independent Study or Research

Provides an opportunity to work independently exploring specific data and business analytics topics in greater depth. The student must develop a research proposal and make arrangements with a faculty member to supervise the project prior to course registration. Permission of faculty is required.

2-4 max. 4

TBANLT 601

Internship

Provides students with practical knowledge and experience in a private or public work environment. Gives students opportunities to develop a strategic plan under faculty guidance, and to perform field work utilizing the skills developed in the classroom. Permission of faculty is required.

2-4 max. 4

 

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