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Master of Science - Business Intelligence & Analytics

Stevens is proud to offer the Master of Science in Business Intelligence and Analytics. The Business Intelligence & Analytics (BI&A) degree is a 36-credit graduate program for students who have already completed an undergraduate degree in science, mathematics, computer science, engineering or a related field. Stevens offers flexible study options for both full- and part-time students interested in advancing their careers within industry-specific analytical fields such as finance, information technology, telecommunications and engineering.

Define Your Future at Stevens
The market has an increasing need for professionals with data management knowledge, analytical capability and problem-solving skills. Stevens is one of a select few universities worldwide to offer a master’s degree in this emerging field. Currently, Stevens is the only university in the NYC area to offer a BI&A master’s degree intended to train students to fill the growing demand for big data analysts.

There will be a shortage of talent necessary for organizations to take advantage of big data. By 2018, the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know-how to use the analysis of big data to make effective decisions. - McKinsey Global Institute

The Stevens Master’s Degree in BI&A offers the most advanced curriculum available for leveraging quantitative methods and evidence-based decision making for optimal business performance. The program aims to teach the next generation of business analysts to be thought leaders in big data management by using a cross-disciplinary approach. Through blended courses in databases, data warehousing, data mining, social networking and risk modeling, the BI&A degree program offers students a wide range of experience in both theoretical and applied contexts.

Students who earn a Business Intelligence and Analytics Master’s Degree will be eligible to receive a SAS certificate in Business Analytics jointly signed by SAS and Stevens

Required Courses

The Stevens Master of Science in Business Intelligence & Analytics is a 36-credit graduate program with courses spanning 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 utilization of data analytics. Students also complete an industry-oriented capstone course designed to offer real-world experience in their industry of choice. In addition to the core curriculum, the BI&A program offers electives in two additional subject areas for students who waive one or more required courses.

Curriculum

Organizational Context
MGT 615 Financial Decision Making

Data Management
MIS 630 Strategic Data Management

MIS 636 Data Warehousing and Business Intelligence

Optimization & Risk Analysis
BIA 650 Process Analytics and Optimization

FE 635 Financial Enterprise Risk Engineering

Statistics
BIA 652 Multivariate Data Analytics

BIA 654 Experimental Design

Data Mining & Machine Learning
MIS 637 Knowledge Discovery in Databases

BIA 656 Statistical Learning & Analytics

Social Network Analytics
BIA 658 Social Network Analytics

BIA 660 Web Analytics

Industry Practicum (select one)

BIA 680 Applied Analytics in the Life Sciences

FE 670 Algorithmic Trading Strategies

Electives

Electives in additional departments 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.

Finance

MGT 625 Investment and Capital Markets

Many Financial Engineering electives are available to BI&A students – See full list

Information Systems

MIS 760 IT Strategy

MIS 730 Integrating IT Architecture

MIS 641 Marketing Online

Requirements for Master's Degree Applicants

Bachelor's degree in science, mathematics, computer science, engineering or a related field
One year of college-level calculus
Prior college-level coursework in basic probability, hypothesis testing and estimation
GMAT or GRE test scores