Electives Offered by Other Departments
Most graduate courses offered by the Statistical Science department (with the exception of STA 611) count as electives towards the MSS degree. Additionally, the MSS degree allows up to 9 graded credits taken from courses in other departments. Any non-STA course must be approved by the MSS Director unless it appears on the list below.
For courses not on the list below, please seek approval using this form.
BIOSTAT | 702 | APPLIED BIOSTAT METHODS I |
BIOSTAT | 706 | INTRO TO PRACTICE / BIOSTAT II |
BIOSTAT | 707 | STATISTICAL METHODS FOR L & D |
BIOSTAT | 708 | CLIN TRIAL DESIGN AND ANALYSIS |
BIOSTAT | 710 | STATISTICAL GENETICS/EPIDEMIOL |
BIOSTAT | 713 | SURVIVAL ANALYSIS |
BIOSTAT | 718 | ANALYSIS/CORR & LONGITUD DATA |
BIOSTAT | 719 | GENERALIZED LINEAR MODELS |
BIOSTAT | 722 | INTRO TO STATS PROGRAMMING II |
BIOSTAT | 821 | SOFTWARE TOOLS FOR DATA SCI |
BIOSTAT | 823 | STATS PROG BIG DATA |
BIOSTAT | 824 | CASE STUDIES BIOMED DATA SCI |
BIOSTAT | 825 | FOUND OF REINFORCEMENT LEARNING |
BIOSTAT | 915 | HIGH-DIMENSIONAL STATISTICS |
COMPSCI | 512 | DISTRIBUTED SYSTEMS |
COMPSCI | 516 | DATABASE SYSTEMS |
COMPSCI | 520 | NUMERICAL ANALYSIS |
COMPSCI | 527 | COMPUTER VISION |
COMPSCI | 531D | INTRODUCTION TO ALGORITHMS |
COMPSCI | 570 | ARTIFICIAL INTELLIGENCE |
COMPSCI | 571D | PROBABILISTIC MACHINE LEARNING |
COMPSCI | 572 | NATURAL LANGUAGE PROCESSING |
COMPSCI | 638 | GRAPH ALGORITHMS |
COMPSCI | 671D | THEORY & ALG MACHINE LEARNING |
COMPSCI | 675D | INTRO TO DEEP LEARNING |
COMPSCI | 676 | ADV TOPICS IN DEEP LEARNING |
ECON | 506 | MACROECONOMIC POLICY |
ECON | 572 | ASSET PRICING & RISK MGMT |
ECON | 601D | MICROECONOMICS |
ECON | 612 | TIME SERIES ECONOMETRICS |
ECON | 620 | GAME THEORY W/ APPL. OF ECON |
ECON | 673 | MATHEMATICAL FINANCE |
ECON | 674 | FINANCIAL DERIVATIVES |
ECON | 677 | FIXED INCOME MARKETS/QUANTITAT |
ECON | 678 | DERIVS FOR SPEC & RISK MGMT |
ECON | 703D | ECONOMETRICS I |
ECE | 551D | PROG, DATA STRUC & ALGO IN C++ |
ECE | 558 | ADVANCED COMPUTER NETWORKS |
ECE | 565 | PERFORMANCE OPTIMIZ & PARALLEL |
ECE | 580 | INTRO TO MACHINE LEARNING |
ECE | 586 | VECTOR SPACE METHODS APPL |
ECE | 651 | SOFTWARE ENGINEERING |
ECE | 653 | HUMAN-CENTERED COMPUTING |
ECE | 661 | COMP ENG ML & DEEP NEURAL NETS |
ECE | 684 | NATURAL LANGUAGE PROCESSING |
ECE | 685D | INTRO TO DEEP LEARNING |
ECE | 689 | ADV TOPICS IN DEEP LEARNING |
FINTECH | 522 | ASSET PRICING AND RISK MGMT |
FINTECH | 536 | ROBO-ADVISING |
FINTECH | 540 | MACHINE LEARNING FOR FINTECH |
FINTECH | 545 | QUANTITATIVE RISK MGMT |
IDS | 705 | PRINCIPLES OF MACHINE LEARNING |
IDS | 706 | DATA ENGINEERING SYSTEMS |
IDS | 721 | DATA ANALYSIS SCALE IN CLOUD |
IDS | 789 | FUND FINANCE BUSINESS MODELS |
MATH | 531 | REAL ANALYSIS I |
MATH | 532 | REAL ANALYSIS II |
MATH | 545 | STOCHASTIC CALCULUS |
MATH | 560 | ALGORITHMS |
MATH | 561 | NUMERICAL LINEAR ALGEBRA |
MATH | 581 | MATHEMATICAL FINANCE |
MATH | 582 | FINANCIAL DERIVATIVES |
MATH | 585 | INTRO TO ALGORITHMIC TRADING |
MATH | 641 | PROBABILITY |
MATH | 703 | ADVANCED LINEAR ALGEBRA |
MATH | 713 | TOPOLOGICAL DATA ANALYSIS |
MATH | 731 | INTRODUCTION TO REAL ANALYSIS |
MATH | 765 | INTRO HIGH DIM DATA ANALYSIS |
MATH | 789 | FUND FINANCE BUSINESS MODELS |
Not sure what to take? Visit the list of common areas of focus for MSS students.