Concentrations

Concentration Options

MSFE students are able to select a concentration area within the MSFE degree. These concentration courses also meet the electives for the program and can be considered beginning with the 2nd semester of the program. In order to obtain a concentration, the prescribed courses must be met as listed below.  To officially declare a concentration on your transcript, you must contact your program advisor.

The official department concentration requirements are listed on the University Academic Catalog.  

Please note:  Not all courses are available each semester.  Please refer to the Course Catalog for course availability for each term.

*MSFE required courses are listed in bold.

Data Analytics -Finance (DA-FIN)

Course Course Title Credit Hours
Required:
FIN 550 Big Data Analytics in Finance for Predictive and Causal Analysis 4
and any two of the following graduate courses:
FIN 552 Applied Financial Econometrics 4
FIN 553  Machine Learning in Finance 4
FIN 555 Financial Innovation 4
FIN 537 Financial Risk Management 4
FIN 556 Algorithmic Market Microstructure 4
FIN 580  Financial Data Management & Analysis 4
FIN 580 Quantamental Investment 4
  Hours needed to satisfy the concentration: 12

Advanced Analytics -Industrial & Enterprise Systems Eng. (AA-ISE)

Course Course Title Credit Hours
Required:  (choose 2 courses and one additional from the list below)
IE 434 Deep Learning: Mathematics and Applications
4
IE 522 Statistical Methods in Finance
4
IE 525 Stochastic Calculus & Numerical Models in Finance
4
IE 529 Stats of Big Data and Clustering
4
IE 531 Algorithms for Data Analytics
4
IE 532
Analysis of Network Data
4
IE 533 Big Graphs and Social Networks
4
IE 534 Deep Learning
4

These courses can be taken as MSFE electives and will enhance the Advanced Analytics in Industrial & System Eng Concentration

IE 400 Design & Analysis of Experiments
4
IE 410
Advanced Topics in Stochastic Processes & Applications
4
IE 411
Optimization of Large Systems
4
IE 510
Applied Nonlinear Programming
4
IE 511
Integer Programming
4
IE 514
Optimization Methods for Large-Scale, Network-Based Systems
4
IE 521
Convex Optimization
4
IE 523
Financial Computing
4
SE 524
Data-Based Systems Modeling
4
 
Hours needed to satisfy the concentration:
12
 
Automated Trading Practices (ATP)
Course
Course Title
Credit Hours
Required:
IE 421
High Frequency Trading Technology
4

Algo Trading Courses: pick one or two

FIN 554
Algorithmic Trading Systems Design & Testing
4
FIN 556
Algorithmic Market Microstructure
4

Stochastic & Learning Foundations Courses: If you have picked one Algo Trading Course above only, then pick one of the following

IE 410
Advanced Topics in Stochastic Processes & Applications
4
IE 434
Deep Learning: Mathematics and Applications
4
IE 518
Queueing Systems
4
IE 531
Algorithms for Data Analytics
4
IE 534
Deep Learning
4
 
Hours needed to satisfy the concentration:
12

 

Computational Science and Engineering Concentration (CSE)

 

For more information: https://cse.illinois.edu/cse-educational-programs/graduate-concentration/

Contact: Bryan Wang at bpcwang@illinois.edu