Advanced Analytics in Industrial & Enterprise Systems Engineering Concentration
for the concentration of Advanced Analytics in Industrial & Enterprise Systems Engineering (on campus & online)
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.
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
| Code | Title | Hours |
|---|---|---|
| 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 below | 4 | |
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 Hours | 12 | |
Other Requirements
| Requirement | Description |
|---|---|
| Students to earn a B or better in each concentration course. |
Graduate Programs in Industrial & Enterprise Systems Engineering
optional concentrations:
Advanced Analytics in Industrial & Enterprise Systems Engineering
Computational Science & Engineering
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)
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:
address: 117 Transportation Building, 104 S Mathews Ave, Urbana, IL 61801
phone: (217) 333-2730
email: ise-grad@illinois.edu