Graduate Certificate in Data Science

(Restricted to MSMF and FSRM students)

 

Admission Requirements for Certificate

Students enrolled in the MSMF or FSRM degree programs who have completed their first year with a GPA of 3.0 or higher and have taken the prerequisite courses are eligible to earn the Certificate in Data Science. Most students can complete their degree program requirements within three semesters and students who wish to earn the certificate can complete the additional requirements by the end of their fourth semester. Students are required to complete the five courses designated for the certificate with grade B or higher.

 

Menu of Courses and Certificate Requirements

An MSMF student must complete any of the five required courses offered under MSDS Statistics track, or equivalent courses (approved by the managing committee). No CS courses are eligible for FSRM students and only CS 512 and CS 539 are eligible for MSMF students. Three of the five are in addition to the ten three-credit courses required by the MSMF degree program. The pre-requisites and syllabi of all courses are determined by the programs offering those courses.  

Required: These two count as equivalent courses and towards the MSMF degree and Data Science Certificate. 

  • 16:220:507 Econometrics I
  • 16:332:503 Programming Methodology for Numerical Computing and Finance (C++)
Choose at least three:
  • Data Structures and Algorithms 16:198:512 (CS) [Fall]
  • Database 16:198:539 (CS) [Spring]
  • Data Wrangling and Husbandry 16:954:597 [Spring]
  • Statistical Models and Computing 16:954:567 [Spring]
  • Financial Data Mining and Machine Learning Methods 16:958:588 [Spring]
  • Statistical Learning for Data Science 16:954:534 [Fall]
  • Advanced Analytics Using Statistical Software 16:954:577 (Fall)

Certificate sample pathway

   FSRM 1
Financial Statistics
 DS  FSRM 2
Risk Management
 DS  MSMF  DS
Certificate
 Fall            
   958:581
Prob & Inference 
 Yes  958:581
Prob & Inference
 Yes  643:573
Numerical Anal.I
 
   958:563
Regression
Yes  958:563
Regression
Yes  643:621
Math Finance I
 
   958:590
Foundation Fin
   958:590
Foundation Fin
   220:507
Econometrics I 
Yes
           332:503
C++ Programming 
Yes
Spring            
   958:565
Fin Time Series 
   958:565
Financial Time Series
   643:574
Numerical Anal. II
 
   958:535
Adv. Methods
   958:535
Adv. Methods
   643:622
Math Finance II 
 
   958:589
Adv. Programming 
   958:589
Adv. Programming 
   643:623
Computational Finance
 
  958:588
Data Mining*
958:534
Advanced Risk Management 
  220:508
Econometrics II
 
 Fall            
  954:534   
Statistical Learning
Yes 
Additional
958:536
Advanced Risk Evaluation
  MSMF Elective  
   958:587
Simulation 
  958:587
Simulation
  958:588
Data Mining 
Yes Additional
   958:591
Algorithm Trading 
   958:588
Data Mining 
Yes 
Additional 
 954:577
Advanced Analytics Using Statistical Software
or 198:512
Intro to Data Structure and Algorithms
Yes 
Additional
   954:577
Software
Yes 
Additional 
 954:577
Software

Yes 
Additional
   
 Spring            
   954:597
Data Wrangling
Yes 
Additional
 954:597
Data Wrangling 
Yes 
Additional 

954:597 Data Wrangling   or 198:539  Database

Yes Additional 
  Elective   Elective    MSMF Elective   
Note: * take one semester earlier than the MS pathway.