Master of Science in Business Intelligence and Analytics (BI&A)
The MS in Business Intelligence and Analytics (BI&A) is designed for full-time and part-time students who have undergraduate degrees in science, mathematics, computer science or engineering. The program produces analytical thinkers who can pursue careers as data scientists in a variety of industries. The BI&A program includes courses in databases, data warehousing, data mining, social networking and risk modeling. The program is both theoretical and applied in that each course combines relevant theories and techniques with a number of examples and student exercises that illustrate industry applications of data analytics. A capstone course provides opportunity for students to apply the concepts, principles, and methods they have learned to real problems in an application domain of their choice. There are two concentrations: Data Analytics and Data Science. The Data Analytics concentration is designed for students who wish to pursue a career as a business analyst or data analyst. The Data Science concentration is designed for students with a strong technical background who wish to pursue a technical career in analytics.
The BI&A program prepares students for careers as business analysts and data scientists in multiple industries such as finance, manufacturing, retail and media and communications.
Degree Requirements: The MS in Business Intelligence and Analytics consists of 12 courses (36 credits). A minimum GPA of 3.0 is required to graduate.
Admission Requirements: The BI&A program is designed for students with a strong technical background in mathematics, economics, engineering, or computer science. Admissions decisions are made on a rolling basis. Students can apply at any time during the year.
All applicants to the BI&A program must submit a GMAT or GRE score.
Prerequisites: 4-year undergraduate degree; calculus (1 year); at least one course in programming or programming experience and one course covering basic probability, hypothesis testing and estimation.
Structure of the BI&A Program
The 12 required courses for the BI&A program encompass six subject areas that conceptually comprise the field of BI&A. The program culminates in a “practicum” course that applies the concepts and techniques learned in prior courses to real- world problems. Oral and written communications skills, analytical thinking and ethical reasoning are emphasized throughout the curriculum.
Core Courses
Students are required to take the following core courses:
| FIN 615 | Financial Decision Making | 3 |
| MIS 630 | Managing the Data Resource | 3 |
| MIS 636 | Data Integration for Business Intelligence and Analytics | 3 |
| BIA 650 | Optimization and Process Analytics | 3 |
| BIA 652 | Multivariate Data Analysis I | 3 |
| BIA 658 | Social Network Analysis | 3 |
| MIS 637 | Data Analytics and Machine Learning | 3 |
| BIA 686 | Practicum in Analytics | 3 |
Data Analytics Concentration
Concentration in Data Analytics Requirements
Students who select the Data Analytics concentration are required to select 3 courses from the following list with consent of their advisor, plus one elective course. Any Stevens graduate level course may be chosen as an elective course.
Data Science Concentration
Concentration in Data Science Requirements
Students who select the Data Science concentration are required to select 3 courses from the following list with consent of their advisor, plus one elective course. Any Stevens graduate level course may be chosen as an elective course.