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Learn how to make data-driven business decisions

You will gain in-depth knowledge of information systems, as well as modern analytical skills, while fulfilling the 30-credit course requirement for the Analytics and Systems (M.S.) degree program.

Rigorous classroom instruction and required projects are structured to prepare you for the unique demands of this fast-paced sector. Courses are specifically broken out into the following segments, allowing you to build a foundation of knowledge as you go: Program Core, Analytics Intelligence, and Analytics Applications.

You will conclude the program with a required thesis or internship to demonstrate competency in research, analysis, and project work. You may elect to include research, project work, or both. An effective thesis will help you solidify your grasp of the program content and serve as an impressive addition to your career portfolio.

How does the curriculum differ from the MBA with a concentration in Analytics Intelligence?
The Analytics and Systems (M.S.) degree program focuses specifically analytics and systems, rather than business management. You may learn more about the MBA program here.


“I’m often asked what sets the Ernest C. Trefz School of Business apart. The difference is in our faculty. They have years of experience delivering game changing enterprise intelligence and analytics solutions and they love bringing their experience to bear to propel students forward.”

Lloyd Gibson, D.Sc., MBA, BS/MA
Dean, Ernest C. Trefz School of Business

Course Descriptions

Preparatory Courses: Acquiring the Foundation for Success (up to 12 Credits)

If you are a student with undergraduate preparation in a non-business field, you may be required to complete up to 12 credits of preparatory coursework. If you are a student with a strong academic record (“B” or better in each case) from an accredited university, you may be able to waive preparatory foundation courses. Accounting & Business Law (ACCT 500) requires financial accounting, as well as any course labelled business law that included contracts and tort law. Economics & Finance (ECON 500) requires both micro- and macro- economics, as well as finance that included time value of money.  Information Systems & Quantitative Methods (ITKM 500) requires information systems, intermediate Excel, and either MS Excel- or SAS-based statistics or research methods. Management & Marketing (MGMT 500) requires organizational behavior, operations management, and marketing or any similarly named course that includes consumer behavior.

Program Core Courses (with concentrations)

Course Description:

This course introduces the student to the intertwined worlds of information technology, data management, business intelligence, knowledge management, and decision making. Some may argue that the aforementioned worlds are one and the same, which from many perspectives is a true statement. Also, this course serves as an introduction to the higher-level courses ITKM 548, 549, and 560.

Learning Outcomes:

  • Understand how computers and other hardware used in information technology work
  • Understand how software and other applications work in conjunction with hardware
  • Comprehend the role of IT and the many departments that belong to it
  • Value the importance of Knowledge Management
  • Know what is Business Intelligence and its responsibility within an organization
  • Be informed about Decision Support Systems, and the role they play in organizations

Credits: 3

Course Description:

A project is work with a defined beginning, middle and end. Everyone manages projects so effective project management is an important skill for personal and professional development. Project management facilitates repeated, effective delivery, it is applicable in any industry and project managers are in high demand. This course provides an immersive project management experience. Balancing theory with practice, it uses the Project Management Institute’s (PMI’s) recognized standards as its framework.

Learning Outcomes:

Students will leave this course with working knowledge of:

  • Project, Program and Portfolio Management and Operations
  • Organizational Influences and the Project Life Cycle
  • Project Management Processes
  • Project Integration Management
  • Project Scope Management
  • Project Time Management
  • Project Cost Management
  • Project Quality Management
  • Project Communications Management
  • Project Risk Management
  • Project Procurement Management
  • Project Stakeholder Management
  • Interpersonal Skills
  • Basecamp
  • Microsoft Project
  • Teambuilding
  • The PMP certification exam.

Credits: 3

Analytics Intelligence Courses

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.

Credits: 3

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.

Credits: 3

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.

Learning Outcomes:

  • 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.

Credits: 3

Analytics Applications Courses

Course Description: 

This course focuses on using data to develop useful marketing insights that fosters building relationships between an organization and its customers. Students will gain hands-on experience utilizing several types of data analyses. Students will collect and analyse primary data and ultimately derive practical marketing implications. A major emphasis of this course is for students to learn how to utilize SAS to analyse and interpret data, and consequently produce insightful recommendations that are theoretically sound and practically applicable for the marketing success of a business.  Objective: To learn how to conduct major marketing analyses using SAS Studio and derive insights from data, with validity and reliability.

Learning Outcomes:  

  • Be able to critically analyse data, develop own hypotheses, design marketing research studies with validity and reliability, and derive actionable implications
  • Be proficient in common statistical analyses using SAS® Studio

Credits: 3

Course Description

 Traditional financial and economic theory assumes investors exhibit a nearly perfect level of rationality. This course explores the truth of this assumption in various contexts, as well as the implications for businesses, organizations, governments, and markets. The course fosters a skeptical approach to both traditional and behavioral results and an independent approach to thinking so that the students can enhance not only their appreciation of behaviorism in others but also in their own individual decision making, and the algorithmic decision making of automated trading systems. The essence of the course explores what opportunities are created by systematic deviations from rationality, and questions how they can be either exploited or mitigated.

Learning Outcomes:

We are going to learn about behavioral economics and finance in a hands-on and interactive way. Many of the questions will expose your own biases. This is not supposed to be a “gotcha” moment but more like an optical illusion: when we know what makes us make incorrect decisions, we better understand our own decision making and that of others.

Credits: 3

Course Description:

According to James Brian Quinn of Dartmouth College, “Outsourcing is one of the greatest organizational and industry structure shifts of the 21st century.”  According to the most recent Deloitte survey flexibility, be it outsourcing or insourcing, is the key going forward. Virtually every Fortune 1,000 company in this country, and an increasing number of companies throughout the world, outsource some significant portion of their business in such areas as business processes, legal, accounting, manufacturing, customer services, IT, administrative services, security, logistics, security, supply chain, HR and many others. Whether an organization is a proponent or an opponent of the sourcing trend, it needs to know how to make sound decisions about its global sourcing strategy. This course covers topics to help individuals and organizations (buyers, sellers and advisors) manage global sourcing of any services, including sourcing strategies, developing the business case for sourcing, managing in a multi-cultural and multi-vendor environment, selection, managing and governance of the service provider, sourcing models and sourcing project life cycle stages, relationship models, role of standards and certification, and managing globally dispersed and virtual teams.

Learning Outcomes:

  • Analyse major strategic sourcing and outsourcing definitions, trends, opportunities, issues, constraints, legal and contract considerations.
  • Review the strategic sourcing business case process and contents, identify build versus buy criteria and discuss alternative sourcing models.
  • Describe the outsourcing end-to-end life cycle process, stages, key deliverables and go no-go criteria and identify why and what organizations outsource.
  • Describe the vendor selection, evaluation, contract negotiations, management and performance measurement techniques and considerations as well as develop an exit strategy from the customer and service provider perspective.
  • Develop managerial competence in the management and governance of sourcing initiatives.
  • Learn how to manage the outsourcing relationship and various engagement models.
  • Review current and emerging company best practice case studies, lessons learned and CSFs.
  • Review regulatory and legal issues and laws affecting sourcing
  • Examine alternatives for exit strategies.

Credits: 3

Capstone

The capstone in the MS in Analytics and Finance consists of a research methods course and either a thesis or internship.

Course Description:

This is an introductory course in qualitative and quantitative research methods. It is designed to introduce you to basic concepts and issues encountered in research investigation. We will discuss what research is, the tools of research, research design, and writing the research report. Included will be an introduction to a diversity of research methods, including survey, historical research, participant and non-participant observation, experimental design, and content analysis. An overview of statistical means of data interpretation also will be presented, including correlations, t-tests, chi-square tests, and so forth. Legal and ethical issues related to research, including research with human subjects, will be examined.

Learning Outcomes:

Upon the conclusion of the course, you will be familiar with:

  • Various methods of conducting research
  • The tools of research
  • General statistical measures available
  • Assessing the research of others
  • Writing a research report
  • Improvement of writing skills, especially those skills concerned with accurate communication of information and rational arguments
  • Guidelines on ethical components of conducting research

Credits: 3

The capstone experience provides the final integration of student learning across the disciplines and the application of concepts learned to practical and competitive situations.
Credits: 3

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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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