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Mike Lohle Teaches ClassAnalytics Intelligence is the study of big data and how we can use it to improve a company’s processes and outcomes. You’ll learn how to capture and analyze data, and draw conclusions based on your findings that will help businesses increase their efficiency and their profits. With impressive industry and job growth predictions, this field is poised to become a vital aspect of practicing effective business strategy. UB’s faculty have more than 60 years of practical experience and our Analytics Intelligence and Big Data Lab provides a site for ample hands-on experience.

This concentration can also be completed entirely online.

Summary of Requirements

MBA Program Curriculum (total of 36 credits)

Starting Fall 2017, the Ernest C. Trefz School of Business is launching a new 36-credit MBA program. For details about a previous Program of Study, please visit the UB Catalog or speak with your academic advisor. 

The MBA program is made up of three course components: Core, Concentration, and Capstone

Core Courses (18 credits)

In the six core courses you will apply the theory from the foundation coursework through cases and real-world exercises.

  • ACCT 505 Managerial & Cost Accounting (3 credits)
  • FIN 505 Advanced Financial Management & Policy (3 credits)
  • ITKM 505 Information Systems & Knowledge Management (3 credits)
  • MGMT 505 Organizational Behavior (3 credits)
  • MKTG 505 Marketing & Branding (3 credits)
  • MGMT 555 Global Program & Project Management (3 credits)
  • Concentration Courses (9 credits)

This three course M.B.A. concentration provides a practical foundation in analytic intelligence. This concentration will prepare students for entry level roles in business intelligence and business.

ITKM 548 – Enterprise Intelligence and Decision Support Systems

Course Description:

If information is business’ lifeblood then enterprise intelligence (referred to as “business intelligence” and “BI” for the remainder of this document) is its beating heart, ensuring actionable information reaches everyone who needs it throughout the enterprise. With business analytics, big data and cloud BI exploding in the marketplace professionals should understand BI to help their enterprises harness the power of their data. This course provides that understanding. Additional topics and cases are added to compliment the text, written for managers grappling with how to leverage their enterprise data for positive results.

Learning Outcomes:

Students will leave this course with a working knowledge of:

  • BI Business Drivers and Context
  • BI Conceptual Solution Architecture
  • The Relationship Between BI and Business Analytics
  • Information Delivery Tools
  • BI Delivery and Success Measures
  • Executive Support, Culture and Effective Business-IT Partnership
  • Data Architecture, Data Governance and Master Data Management
  • BI User Adoption and Training
  • Agile and Iterative BI Development Approaches
  • Enterprise vs. Local BI
  • BI Trends.

 ITKM 549 – Technical Concepts for Analytics Professionals

Course Description:

Success requires knowledge of your functional area and mastery of the data that fuels it. This course provides the technical understanding and critical thinking skills needed to adopt, learn and apply relevant tools and techniques to analyze data with confidence. Students will gain hands on experience with structured query language (SQL) and R, from an applied perspective. In addition, they will be exposed to database, programming, analytics and statistical concepts. They will emerge ready to engage in additional study or to secure jobs in the marketplace that require these skills.

Learning Outcomes:

Students will achieve an understanding of enterprise intelligence and analytics technical concepts important for careers in this expanding field. This course:

  • Provides a background in databases and analytics programming and visualization concepts
  • Develops necessary skills to manage programming and analytics personnel
  • Develops critical thinking and problem-solving skills for analytics, programming and data management
  • Provides an overview of enterprise intelligence and analytics solution architecture and the tools required to support and analyse information for decision support
  • Provides exposure to the tools and platforms used in enterprise intelligence.

ITKM 560 – Foundations in Advanced Enterprise Analytics

Course Description:

This course introduces the student to advanced business analytics. It covers how to manage business analytics studies, exploratory data analysis, diverse modelling algorithms, and forward-looking reporting techniques. It is assumed that the student is comfortable with programming, and can learn and use new programming languages.

  • Understand the business analytical research lifecycle, and how to implement it
  • Given a business research question student will know what exploratory data analysis techniques and modelling algorithms to use.

Capstone Courses (9 credits)

Integration Course (required)

  • BUCP 597 Policy & Strategy (3 credits)

Practicum (select one)

  • MGMT 582 Business Planning (3 credits)
  • MGMT 589 Cases in Ethics, Innovation, & Leadership (3 credits)
  • GLDP 501 Research Methods (3 credits)

Experiential Course (select one)

  • MGMT 582 Business Planning (3 credits)
  • MGMT 589 Cases in Ethics, Innovation, & Leadership (3 credits)
  • BUCP 598 Thesis (3 credits)
  • BUCP 599 Internship (3 credits)

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Feb
26
Mon
Ernest C. Trefz School of Business Faculty Meet and Greet @ Mandeville Hall
Feb 26 @ 5:30 pm – 7:00 pm

The School of Business Faculty Meet and Greet allows prospective graduate students to come and network with faculty members and the dean in the School of Business. It will also feature an informational panel-led discussion. Prospective students interested in the following programs are welcome to attend: MBA (online and on-campus), M.S. Finance, and M.S. Analytics and Systems.

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