Industrial Engineering: Advanced Analytics in Industrial & Enterprise Systems Engineering, MS

for the Master of Science in Industrial Engineering, Advanced Analytics in Industrial & Enterprise Systems Engineering Concentration (on campus & online)


department head: Deborah L Thurston

associate head of graduate studies: Ramavarapu S Sreenivas


overview of admissions & requirements: https://ise.illinois.edu/graduate/admissions/

overview of grad college admissions & requirements: https://grad.illinois.edu/admissions/apply


department website: https://ise.illinois.edu/

program website: https://ise.illinois.edu/graduate/degrees-and-programs/advanced-analytics-concentration.html

department faculty: https://ise.illinois.edu/directory/faculty.html


college website: https://grainger.illinois.edu/


contact: Aleta Lynch

address: 117 Transportation Building, 104 S Mathews Ave, Urbana, IL 61801

phone: (217) 333-2731

email: ise-grad@illinois.edu


The Advanced Analytics in Industrial & Enterprise Systems Engineering Concentration prepares students to relate the application of engineering approaches and methods to the analysis and management of engineering and business processes which are data-oriented. Students will be able to provide companies and organizations with the ability to convert the massive amounts of data received into useful information that can help shape the decisions companies and organizations make.

Students must be enrolled in the Industrial Engineering MS (thesis or non-thesis) degree program. After the first enrolled semester the student notifies the ISE Graduate Programs Office of their intention to enroll in the concentration and file a petition to add the Advanced Analytics Concentration with the Graduate College.


Other Graduate Programs in Industrial & Enterprise Systems Engineering

degrees:

Industrial Engineering, MS

optional concentrations:

Advanced Analytics in Industrial & Enterprise Systems Engineering|Computational Science & Engineering

Systems & Entrepreneurial Engineering, MS

optional concentrations:

Computational Science & Engineering

Systems & Entrepreneurial Engineering, PhD

Financial Engineering, MS (sponsored jointly with Department of Finance)

optional concentrations:

Computational Science & Engineering


The Department of Industrial and Enterprise Systems Engineering (ISE) offers graduate programs leading to degrees of Master of Science and Doctor of Philosophy in Industrial Engineering (IE) and Systems and Entrepreneurial Engineering (SEE), as well as (jointly with the Department of Finance) Master of Science in Financial Engineering. The ISE programs offers an approach to industrial engineering and systems engineering, engineering design, and entrepreneurial engineering that crosses disciplinary lines. The IE program is based in advanced studies that focus on operations research, optimization, supply chain management, financial engineering, quality and reliability engineering and production management, with the aim to advance modeling, simulation, analysis and decision making for complex engineering and economic systems. The SEE program is founded on the premise of dual competency in both traditional engineering and systems integration. The SEE program offers flexibility by permitting the student to select from a menu of advanced courses and take a wide range of electives to meet individual career goals. Graduates of these programs are prepared to enter academic and professional engineering positions in universities, industry, government, and private practice.

Opportunity also exists for specializing in energy and sustainability engineering via the

Energy and Sustainability Engineering (EaSE) Graduate Certificate Option


for the Master of Science in Industrial Engineering, Advanced Analytics in Industrial & Enterprise Systems Engineering Concentration (on campus & online)


Students must be enrolled in and complete the Industrial Engineering MS (thesis or non-thesis) degree program to earn the concentration.  

Advanced Analytics Core:8
Computing for Data Analytics
Stats of Big Data & Clustering
Optimiztion for Data Analytics
Algorithms for Data Analytics
Analysis of Network Data
Big Graphs and Social Networks
Advanced Analytics Secondary: 14
Design & Anlys of Experiments
Advanced Topics in Stochastic Processes & Applications
Optimization of Large Systems
Applied Nonlinear Programming
Integer Programming
Convex Optimization
Total Hours 2, 312