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 follows:

Data Analytics -
Finance
(DA-FIN)

New Fall 2020

Course Course Title Credit Hours Semester Offered
Required:
FIN 510 Big Data Analytics in Finance 4 Fall
and any two of the following graduate courses:
FIN 552 Applied Financial Econometrics   Fall
FIN 553 + IE 517 Machine Learning in Finance/ Machine Learning*   Fall
FIN 555 Financial Innovation 8 Spring
FIN 567 Financial Risk Management   Spring
FIN 580 DA Data Analytics in Finance   tbd
  Hours needed to satisfy the concentration: 12  

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

New Fall 2020

Course Course Title Credit Hours Semester Offered
Required - these courses are core in the MSFE program AND meet the Advanced Analytics Concentration Core
IE 522 Statistical Methods in Financial Engineering* 4 Fall
IE 523 Financial Computing* 4 Fall
IE 525Stochastic Calculus & Numerical Models in Finance*4 Spring

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

IE 528 Computing for Data Analytics

 

all

4

hour

courses

 
IE 529 Stats of Big Data and Clustering  
IE 530 Optimization for Data Analytics  
IE 531 Algorithms for Data Analytics Spring
IE 532 Analysis of Network Data Fall
IE 533 Big Graphs and Social Networks Fall
IE 400Design & Analysis of Experiments Fall
IE 410Stochastic Processes & Applications Fall
IE 411Optimization of Large Systems Fall
IE 510Applied Nonlinear Programming 
IE 511Integer Programming Spring
IE 521Convex Optimization Fall
IE 534Deep Learning Spring
  Hours needed to satisfy the concentration: 12  

* required courses in MSFE curriculum

Algorithmics (with Low Latency Programming) (ALGO-LLP)

Proposed for Fall 2021

Course Course Title Credit Hours Semester Offered
Required: (8 hours - 2 of 3 courses)
IE 598 Electronic Trading 4 Fall
FIN 566 Algorithmic Market Microstructure 4 Fall
FIN 580 Basics of Trading Alg Deisgn 2 Spring A
Analysis Testing Trading Alg 2 Spring B
and one of the following graduate courses:
FIN 510 Big Data Analytics in Finance

 

4

Fall
IE 531 Algo for Data Analytics Spring
IE 534 Deep Learning Spring
  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