Business Administration, M.B.A., Data Analytics (STEM) Concentration

Master of Business Administration Requirements

Director:  Darell Singleterry, M.B.A.

The AACSB accredited M.B.A. program at the University of New Haven is designed to transform current and future business leaders by providing in-depth expertise in the discipline of business administration and management, while concurrently exposing students to high impact learning practices and a global business perspective.  Such perspectives are essential to operating in today's increasingly complex, collaborative, and multi-national business context.  The program ensures that students build their functional knowledge base and hone leadership skills to become a strategic, collaborative, and corporate thinker, ready to navigate the business challenges professionals are faced with today.

The M.B.A. program is designed to be flexible and serve the needs of a diverse student population.  It is offered in part- and full-time formats with day and night courses, delivered in a mixture of traditional, hybrid, and online formats.  It is designed for both seasoned professionals and those with little or no experience in business.

The program is built on a series of foundational courses in the core business areas of accounting, finance, and economics.  This foundation is followed by a set of advanced program core courses that are essential to managerial success in areas such as analytical decision-making, value creation, and leadership.

Each of the program's eight concentrations are designed to provide students with competencies in areas of modern business challenges for career success.

1. General
2. Business Analytics
3. Management Finance
4. Global Supply Chain Management
5. Strategic Leadership
6. Human Resource Management
7. Data Analytics (STEM)
8. Financial Analysis (STEM)
    

Foundation Core:  4.5 credits (credits may be waived)
Program Core:  25 credits
Flexible or concentration electives:  minimum 9 credits
Total credits to graduate:  34 - 44.5 credits
 

Data Analytics (STEM) Concentration (minimum 15 credits)

This concentration provides students with a technical awareness of the opportunities needed to enhance business operations.  It provides the tools necessary to collect, identify, and understand patterns that allow the organization to make informed decisions consistent with its mission.  This is especially true with the advent of Big Data and increasingly sophisticated computing techniques used to mine it.  With a specific focus on the application of mathematical statistics to the description, analysis, and forecasting of business data, the program features the analysis of data from multiple firm sources such as marketing, finance, human resource management, etc.  The R-programming language is a central part of the concentration's design.  This concentration will require no fewer than 40 credits to graduate.

• Required:

• ECON 6635 - Business Forecasting
• MGMT 6625 - Knowledge Management
• QANL 6625 - Mining for Business Intelligence

• 
  Select two of the following:

• BANL 6310 - Data Visualization and Communication
• BANL 6320 - Supervised Machine Learning
• BANL 6420 - Unsupervised Machine Learning
• BANL 6430 - Database Management for Business Analytics
• BANL 6550 - Managing Quality in the Supply Chain
• BANL 6600 - Power BI and Dashboarding
• FINC 6605 - Financial Econometrics
• FINC 6640 - Real Estate Analysis
• MKTG 6627 - Database Marketing
• MKTG 6631 - Digital Marketing Strategy
• QANL 6605 - Applied Econometrics
• QANL 6614 - Decisions in Operations Management
• QANL 6675 - Multivariate Analysis
• SMGT 6625 - Sport Analytics

Additional Requirements

In addition to the requirements listed above, all students must satisfy the following requirements:

• High Impact Practice Experience (6 credits) concurrent, no additional credit hours 

At least TWO courses taken to complete the degree program must be designated as High Impact Practice, which should include significant elements of service learning (S), faculty-led research, faculty-supervised internship, study abroad, and/or Shared Live Client Experience (SLiCE).

• Global Study Experience (3 credits) concurrent, no additional credit hours

Complete at least ONE course designated as a global experience (GL) course.  These can include a global content-focused course, faculty-led short-term study abroad, international internship abroad, or equivalent independent study as approved by the program coordinator.