Analytics and Systems, M.S.

Earn Your Analytics & Systems Degree Online

The University of Bridgeport's Online Analytics & Systems, M.S. degree, prepares graduates to help businesses make better data-driven business decisions. This STEM-designated program was designed by faculty who are industry professionals and experts in the field.

1

Year Accelerated Program

6

Start Terms a Year

8

Week Classes

Program Prerequisites

  • A bachelor’s degree, or its equivalent, from an accredited university or recognized international institution
    • Students are recommended to have undergraduate degrees in Economics, Information Systems, Management, Mathematics, or, Statistics but other undergraduate degrees are accepted with the appropriate preparatory coursework
  • Cumulative undergraduate grade point average of 3.0 or higher

Required Materials

  • University of Bridgeport Application
  • $50 application fee (non-refundable)
  • Official transcripts from every college or university where college credit was awarded
  • Two recommendation letters
    • Letters must be signed and come directly from employers, professors, or professional associates and describe your work ethic, academic or work experience, and why you would be a good fit for the University of Bridgeport’s M.S. in Analytics & Systems program
  • Personal statement
    • In 250 – 500 words, detail why you are seeking an MS in Analytics & Systems, how you expect to apply your degree to your professional career after graduation, and why you seek to pursue your degree through the University of Bridgeport
  • Professional Resume or CV
  • GMAT scores are required unless you have:
    • A cumulative GPA of 3.0 or higher
    • 3+ years of Management Experience
    • 5+ years of Professional Experience
    • Professional certification such as CPA, CFA, CMA, CIA, or CFP
    • Completion of a master’s or doctoral degree from an accredited institution within 10 years of application

Deadlines

Completed application and all supporting documents must be received by:

  • December 1 for Spring I (January)
  • February 1 for Spring II (February)
  • April 1 for Summer I (April)
  • June 1 for Summer II (June)
  • August 1 for Fall I (August)
  • October 1 for Fall II (October)

Questions?

Visit How to Apply to learn more about the process and how to contact your admissions counselor.

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.

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 on analytics and systems, rather than business management. You may learn more about the MBA program here.

 

Preparatory Courses (up to 12 credits)

Depending on your undergraduate coursework, you may be required to complete up to 12 credits of prerequisite coursework to successfully graduate from the 30-credit program. This can be done online in the same format as your other courses. 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.

ACCT 500 Accounting & Business Law

An introduction to Accounting, and the Legal Environment of Business and Ethics. The course focuses the fundamentals of Accounting and how the legal environment of business impacts business decisions. There is an introduction to the basic principles of Accounting: how to account for business transactions. Emphasis on the understanding of how financial statements are prepared, and how they are used as a basis for decision making by business owners, investors, creditors, government and others interested in the financial condition of an economic entity and the results of its operations. The Law component introduces how the legal environment of business impacts business decisions with broad ethical, and critical thinking examples throughout. Knowledge of the legal aspects of running a business will enable the student to conduct business within the legal framework and understand the ethical dimension of business decisions. Topics include: Introduction to Business Ethics; Financial Regulation (Sarbanes-Oxley, Dodd-Frank) Business Crimes, Torts, and Contracts; the Constitution and Government Regulation of Business; Business Organizations; Employment and Labor Laws; Consumer Protection and Environmental Regulation; and Ethical Conflicts including Corporate Loyalty v. Whistleblowing, and Privacy and Technology. Prerequisites: Admission to graduate study.

Credits: 3

ECON 500 Economics & Finance

 

This course is a graduate introduction to the study of economics and finance, two interrelated and integral fields in the study of business. This course develops the foundation in understanding how the real economy works, and how finance connects the real economy to the monetary system via the financial system. The course starts by discussing how the market system works, including basic macroeconomic concepts relevant to the study of finance. Subsequently, the course delves into how capital budgeting decisions made by firms are essential to achieve macroeconomic goals. Topics include financial statements, time value of money, the financial markets, and how firms make capital budgeting decisions. In additional to textbook readings, students will use current events to complete case studies and group presentations to further their understanding of economics and finance.

Credits: 3

ITKM 500 Information Technology and Quantitative Methods

Data preparation and cleaning, data analysis, and data visualization are now at the heart of managerial decision making.  This course will illustrate both IT and Quantitative Methods through three fairly involved examples and extensive hands-on experience.  Cleaning data will lead us to database principles that underlie data independence and referential integrity.  Summarizing a modest-sized dataset (about 8,000 rows) will introduce statistical summaries, some basic visualization tools, and the statistics behind correlation coefficients and matrices.  Pivot Tables and various visualization techniques will allow us to answer the question, “What is the data telling us?”  The final project allow us to apply results from calculus to generate forecasts which we will then visually and statistically compare by using 3-D graphics and hypothesis testing.  We will use the computer for the entire course; nothing is done by hand.

Credits: 3

MGMT 500 Management & Marketing

This course serves as a graduate introduction to the theory and practice of both management and marketing, two separate, yet related, fields of business study.  The management portion of the course will address the four key tenets of management: planning, organizing, leading and controlling. The marketing portion of the course will address creating, delivering, and communicating value by building customer relationships via the marketing mix: product, price, place (distribution), and promotion.  Both parts of the course will examine the effects of globalization, technology, and social responsibility. In addition to textbooks and other readings, the course will use individual and group projects to develop real-world solutions to challenges posed in these two disciplines.

Credits: 3

Program Core Courses (6 credits)

ITKM 505 Information Systems and Knowledge Management

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

MGMT 555 Global Program and Project Management

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 (9 credits)

ITKM 548 Enterprise Intelligence and Decision Support Systems

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

ITKM 549 Technical Concepts for Analytics Professionals

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

ITKM 560 Foundations in Advanced Enterprise Analytics

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 (9 credits)

MKTG 525 Data-Driven Marketing

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

FIN 534 Behaviorial Economics and Algorithmic Finanace

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

MGMT 534 Strategic Sourcing and Outsourcing

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 (6 credits)

The capstone in the Analytics & Systems, M.S. consists of a research methods course and either a thesis or internship.

BUCP 588 Research Methods for Business

This course focuses on familiarizing MBA students with epistemology and scientific thinking. The course will cover important concepts of consideration (e.g., validity and reliability) for conducting and understanding research in business. Students will learn about various research methodologies currently used in the business environment. Students will learn how to critique a research paper in a business discipline and develop an original research proposal.

Learning Outcomes:

  • Be able to understand, critique, and derive practical applications from a research paper of a business discipline
    • Understand the basic structure of a research paper
    • Understand the concepts of validity and reliability
    • Understand benefits and limitations of different types of research methods
  • Be able to design and conduct proper research, and write a research proposal/paper
    • Be able to conduct proper literature review
    • Be able to formulate research questions and hypotheses
    • Be able to apply basic rules of APA Style in term papers and research reports
    • Be able to recognize and avoid plagiarism in research writing
    • Be able to understand ethical considerations of conducting human research in social and behavioral sciences
    • Be able to manage bibliographic references

Credits: 3

BUCP 598 Thesis OR BUCP 599 Internship

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

Educational Objectives

You will integrate the knowledge and skills gained throughout the Master of Science in Analytics & Systems program to enhance critical thinking and data mastery by:

Technical

  • Demonstrating an understanding of concepts learned throughout this graduate program
  • Describing the business drivers and critical success factors for effective analytics project and program delivery
  • Using research, tools and techniques for complex analytical solutions that capture, consolidate and present information for meaningful insights

Human

  • Communicating complicated information at a professional level via comfort and confidence telling compelling stories using data
  • Understanding how to manage all aspects of the data capture, delivery and analysis process
  • Demonstrating initiative, discipline, and follow-through on assignments and projects
  • Facilitating meaningful dialogue related to class topics

Conceptual

  • Evaluating the advantages and disadvantages of analytics solution designs, tools and visualization options
  • Analyzing trends within data and facilitating their application
  • Applying the theories and techniques learned throughout this program with focus on economics, ethics, finance, marketing, project, sourcing and vendor management.

Visit the  Program Requirements tab to see how learning outcomes will be assessed.

Become a Hybrid Professional

If your career goals include “bridging” between technology, data and business leadership, mastering data and information, and applying the resulting insights for positive business benefit, then the Master of Science in Analytics and Systems is your perfect degree.

Upon completion of this program, you will be effective at interpreting trends in complex, often poor quality data and translating it for business leadership to facilitate action for positive results. In addition, you will emerge with the context necessary to manage the delivery of intricate, highly visible information systems required to support business needs.

We will prepare you to hit the ground running in any data-driven industry—from politics and sports, to finance and health care, and more.

What will UBecome with an Analytics and Systems (M.S.) Degree?

Become a critical member of the team as a

  • Analytics Manager
  • Business Analyst
  • Business Consultant
  • Business Intelligence Analyst
  • Business Intelligence Developer
  • Business Intelligence Project and Program Manager
  • Business Intelligence System Administrator
  • Business Systems Analyst
  • Competitive Intelligence Manager
  • Consulting Delivery Manager
  • Dashboard Developer
  • Data Analyst
  • Data Mining Analyst
  • Data Profiler
  • Data Warehouse Designer
  • Database Analyst
  • Digital Product Manager
  • Financial Analyst
  • Healthcare Analyst
  • Information Systems Manager
  • Information Technology Business Analyst
  • Information Technology Manager
  • Market Analyst
  • Marketing Analytics Manager
  • Product Manager
  • Project Leader
  • Report Developer
  • Retail Analyst
  • Risk Analyst
  • Risk Manager
  • Solutions Architect
  • Systems Analyst

 

Preparation for Future Studies and Certification Opportunities

Set Yourself Apart with a SAS Certificate

Our academic collaboration with SAS empowers Analytics and Systems, M.S. degree program students to take advantage of discounts on industry standard SAS certification and access test banks SAS provides to collaborating institutions. For more information visit the SAS Global Certification program.

Pursue Your MBA

The University of Bridgeport’s Ernest C. Trefz School of Business offers on campus and online graduate degrees in which you may continue or concurrently expand upon your business education. Our online MBA program with concentrations in Analytics Intelligence, Human Resources Management or Management is well-suited for individuals seeking to hone managerial skills:

Career Assistance

UB's Center for Career Development helps graduates prepare for entrance into the workforce. Our comprehensive career counseling and resource center is dedicated to helping you become an active participant in your own academic, professional, and career development.

Services provided include basics like resume and cover letter building, interview preparation, negotiation, goal assessment, and personal branding.

What's UBJobnet?

UBjobnet is UB’s internal job portal–open only to UB students and alumni! Here, you can access a variety of opportunities posted by local and national employers. Search for jobs/internships, submit your resume online, register for career related events, or all of the above.

To access UBjobnet:

  • Login to the myUB Portal
  • Click on the “Quick Links” box on the right side to navigate to UBjobnet
  • Find the resources that suit your needs:
    • Job Search: Find full-time, part-time, internship, student employment and volunteer opportunities
    • Email me new jobs: Set up job alerts by clicking “Email me new jobs” located above your search results. Use specific keywords to help tailor your emails to match your interests
    • Career Events: Register for and learn about more upcoming events
    • Employer Directory: Find and research companies related to your desired field
  • Upload your updated resume and cover letters to UBjobnet to be able to easily apply to posted positions through the system
  • Update your major, GPA, and graduation year in your profile to receive information on jobs and events related to your field

To fulfill the requirements of this program, you will need to successfully complete the required 30-credits of coursework, including a thesis or internship. Coursework may be completed as a full-time or part-time student. You must satisfactorily complete all academic requirements with a cumulative grade point average grade of “B” (CGPA = 3.0) or better.

Evaluation of your progress will be based on the following:

  • Research papers integrating market trends with class topics
  • Exams measuring the effective acquisition of technical acumen
  • “Hands-on” tools and calculation assignments and projects
  • Student attendance and class participation
  • A thesis that demonstrates the ability to conduct investigations in the analytics and systems discipline
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