Master of Science in BI&A

The Masters of Science in Business Intelligence and Analytics (BI&A) is a unique 36-credit degree for part-time or full-time students who have completed undergraduate degrees in quantitative disciplines such as science, mathematics, computer science or engineering. The degree is designed for individuals who are interested in careers in analytical fields and the coursework focuses on industry-specific application in areas such as finance, pharmaceutical, underwriting, manufacturing, information technology, telecommunications, energy and engineering. For individuals who simply want to strengthen their knowledge and sharpen their analytical management skills.   The Graduate Certificate in Business Intelligence and Analytics is a four-course program that will help give you an edge to help you advance in your current career.

Define Your Future at Stevens As the market-demand for professionals with data management, analytical, and problem-solving skills increases, Stevens is one of only a dozen or so universities worldwide to offer this highly-desired degree. The U.S. alone needs as many as 190,000 additional people with "deep analytical skills," as well as, another 1.5 million "managers and analysts to analyze big data and make decisions based on their findings." ¨C McKinsey Global Institute The Stevens MS BI&A program offers the most advanced curriculum available for leveraging quantitative methods and evidence-based decision making in support of business performance. It uses a cross-disciplinary perspective to teach the next generation of business analysts to be leaders in the management and interpretation of very large and complex dynamically-evolving data sets. Both theoretical and applied, the BI&A program blends courses in databases, data warehousing, data mining, social networking, and risk modeling. The program culminates in a ¡°practicum¡± course that applies the concepts and techniques learned in prior courses to real-world problems in an industry of the student¡¯s choice. Oral and written communications skills, analytical thinking, and ethical reasoning are emphasized throughout the curriculum.

BI&A faculty members are leaders in research in all aspects of data analytics.

The Stevens team led by Dr. German Creamer, including Financial Engineering Ph.D. students Yue Li, and Qiang Song won the Knight's Capital Prize for Best Use of Data in the Algorithmic Trading competition run by the University College London.

The design and execution of the BI&A program is guided by an advisory board of top executives with expertise in the financial services, life sciences, telecommunications, and retail industries.

About the Curriculum

The MS in Business Intelligence and Analytics is a 36 credit degree (12 courses), that is divided into six subject areas that conceptually comprise the field of BI&A. Each course combines relevant theories and techniques with applied exercises to illustrate practical industry applications of data analytics. Students also complete an industry-oriented capstone course where they apply the principles, and methods they have learned to real problems in the application domain of their choice.

Learning Outcomes

Obtain the skills to collect, analyze, and interpret data in the following areas:

  • Strategic data planning and management
  • Databases/Data warehousing
  • Data mining/Machine learning
  • Network analysis/Social networking
  • Risk, modeling, and optimization
  • BI&A by industry (e.g., pharmaceutical or financial)

Degree Requirements

BI&A CORE (30 credits)

Organizational Context


Database and Data Warehousing



Optimization and Risk Analysis



Statistics



Data Mining and Machine Learning



Social Network Analytics



Industry Practicum


BI&A ELECTIVE COURSES (6 credits)

Choose 2 courses with the approval of a faculty advisor:






 

Additional electives below are available for students who waive one or more of the required courses (e.g., MGT 615 or MIS 630).   To waive courses students must have approval from a faculty advisor.

 

Computer Science

  • CS 506 Introduction to IT Security
  • CS 538 Visual Analytics
  • CS 559 Machine Learning
  • CS 578 Privacy in a Networked World
  • CS 581 Online Social Networks
  • CS 586 Machine Learning for Gaming

Finance

  • MGT 625 Investment and Capital Markets
  • Many Financial Engineering electives are available to BI&A students ¨C See full list

Information Systems

  • MIS 760 IT Strategy
  • MIS 730 Integrating IT Architecture
  • MIS 661 Marketing Online

Service-Oriented Computing

  • SOC 653 Introduction to Text Mining and Statistical Natural Language Processing
  • 4 year undergraduate degree in science, mathematics, computer science, engineering or a related field required
  • Calculus (1 year)
  • A course in programming or programming experience
  • At least one course covering basic probability, hypothesis testing and estimation
  • GMAT or GRE test scores