Dual Degree and Joint Programs

Dual Degree Program with the School of Journalism in Computer Science

The Graduate School of Journalism and the Engineering School offer a dual degree program leading to the degrees of Master of Science in Journalism and the Master of Science in Computer Science. (See Computer Science).

Joint Program with the School of Business in Industrial Engineering

The Graduate School of Business and the Engineering School offer a joint program leading to the degrees of Master of Business Administration and Master of Science in Industrial Engineering. (See Industrial Engineering and Operations Research).

Master of Science Program in Management Science and Engineering

In collaboration with the Graduate School of Business' Decision, Risk, and Operations Division, the Industrial Engineering and Operations Research department offers a master’s degree program focused on management and engineering perspectives in solving problems of complex systems. (See  Industrial Engineering and Operations Research.)

Master of Science Program in Business Analytics

In partnership with the Graduate School of Business' Decision, Risk and Operations Division and Marketing Division, the Industrial Engineering and Operations Research department offers a master’s degree program designed for those who want to focus on learning the modeling techniques and data science tools that help businesses use data to make better decisions. (See  Industrial Engineering and Operations Research.)

Master of Science Program in Data Science

Offered by the Engineering School (jointly between the Department of Computer Science and the Department of Industrial Engineering and Operations Research), in partnership with the Graduate School of Arts& Sciences (the Department of Statistics), the M.S. in Data Science allows students to apply data science techniques to their field of interest.

Candidates for the Master of Science in Data Science are required to complete a minimum of 30 graduate-level credits, which includes seven required courses: Algorithms for Data Science, Machine Learning for Data Science, Exploratory Data Analysis and Visualization, Probability Theory, Statistical Inference & Modeling, Computer Systems for Data Science, and Data Science Capstone & Ethics. A minimum of 9 credits of elective coursework are chosen in consultation with the student's adviser should be a technical in nature, 4000-level graduate course or higher that expands the student's expertise in data science. M.S. students must complete the professional development and leadership course, ENGI E4000, as a graduation requirement.

Certificate of Professional Achievement in Data Science

Graduate Online delivery is also available for this program. Candidate for the Certification of Professional Achievement in Data Science, a nondegree part-time program, are required to complete a minimum of 12 credits, including four required courses: Data Science, Probability and Statistics for Data Science, Machine Learning for Data Science, and Exploratory Data Analysis and Visualization.