Advanced Analytics in Industrial & Enterprise Systems Engineering Concentration

for the concentration of Advanced Analytics in Industrial & Enterprise Systems Engineering (on campus & online)


department head: Jeff Shamma
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: Lauren Redman
address: 117 Transportation Building, 104 S Mathews Ave, Urbana, IL 61801
phone: (217) 333-2730
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) or Financial Engineering MS degree programs. 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.


Graduate Programs in Industrial & Enterprise Systems Engineering

degrees:

Industrial Engineering, MS

optional concentrations:
Advanced Analytics in Industrial & Enterprise Systems Engineering
Computational Science & Engineering

Industrial Engineering, PhD

optional concentrations:
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:
Advanced Analytics in Industrial & Enterprise Systems Engineering
Automated Trading Practices
Data Analytics in Finance  

Health Technology, MS (sponsored jointly with the College of Applied Health Sciences)

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.


for the concentration of Advanced Analytics in Industrial & Enterprise Systems Engineering (on campus & online)


The Advanced Analytics in Industrial & Enterprise Engineering Concentration is available and all 12 hours count towards completion of:

Industrial Engineering MS 

Financial Engineering, MS


Advanced Analytics Core:8
Deep Learning: Mathematics and Applications (Deep Learning: Mathematics and Applications)
Statistical Methods in Finance
Stochastic Calculus & Numerical Models in Finance
Stats of Big Data & Clustering
Algorithms for Data Analytics
Analysis of Network Data
Big Graphs and Social Networks
Deep Learning
Take an additional core course from above, or select one from list below4
Advanced Analytics Secondary:
Design & Anlys of Experiments
Advanced Topics in Stochastic Processes & Applications
Optimization of Large Systems
Applied Nonlinear Programming
Integer Programming
Optimization Methods for Large-Scale, Network-Based Systems
Convex Optimization
Financial Computing
Data-Based Systems Modeling
Total Hours12

Other Requirements

Students to earn a B or better in each concentration course.