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, artificial intelligence, and big data. 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. The BI&A program prepares students for careers as business analysts, data analysts and data scientists in multiple industries such as finance, manufacturing, retail, media and communications.
There are three concentrations: Data Analytics, Data Science and AI, and Big Data. The Data Analytics concentration is designed for students who wish to pursue a career as a business analyst or data analyst. The Data Science and AI concentration is designed for students with a strong technical background who wish to pursue a career as a data scientist or AI specialist. The Big Data concentration is designed for students who wish to pursue a career as a data scientist and data engineer.
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; one course covering basic calculus one course on probability, hypothesis testing and estimation, and at least one course in programming or programming experience.
International students for whom English is a second language must demonstrate English language proficiency by submitting the results of a TOEFL or an IELTS test.
Structure of the BI&A Program
The 9 required courses and 3 electives for the BI&A program encompass topics that conceptually compromise the entire field of BI&A. These topic areas are organized into three concentrations. The program culminates in a "practicum" course that applies the concepts and techniques learned in prior courses to real - world problems. Technical skills as well as 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 515 | Financial Decision Making | 3 |
| MIS 631 | Data Management | 2 |
| MIS 632 | Data Management LAB | 1 |
| 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 |
| MIS 633 | Business Intelligence & Data Integration | 2 |
| MIS 634 | Business Intelligence & Data Integration - LAB | 1 |
| BIA 686 | Practicum in Analytics | 3 |
| BIA 654 | Experimental Design II | 3 |
***Students taking MIS 631 must enroll in MIS 632 in the same semester.
***Students taking MIS 633 must enroll in MIS 634 in the same semester.
Data Analytics Concentration
Requirements
Students who select the Data Analytics concentration are required to select 3 courses from the following list with consent of their advisor. Any Stevens graduate level course may be chosen as an elective course.
Data Science and AI Concentration
Requirements
Students who select the Data Science and AI concentration are required to select 3 courses from the following list with consent of their advisor. Any Stevens graduate level course may be chosen as an elective course.
| BIA 656 | Advanced Data Analytics and Machine Learning | 3 |
| BIA 660 | Web Mining | 3 |
| BIA 662 | Cognitive Computing | 3 |
| BIA 667 | Introduction to Deep Learning and Business Applications | 3 |
| BIA 668 | Management of AI Technologies | 3 |
Big Data Concentration
Requirements
Students who select the Big Data concentration are required to select 3 courses from the following list with consent of their advisor. Any Stevens graduate level course may be chosen as an elective course.