Track Courses

For more information, please visit the MS Curriculum page.

Pre-Approved General Elective Courses For Fall 2017

Below is a list of electives that are pre-approved for Data Science graduate students in Fall 2017. Many students will wish to deepen their expertise in a discipline or domain. To that end, we recommend course sequences around typical disciplines and domains. Students wishing to take elective courses not on the list need to obtain approval. For approval, email the information below to Kathryn Angeles at kangeles@nyu.edu.

  • Course information
  • Course syllabus
  • Relevance of course to MSDS degree and goals
  • If available, course website

Note that some courses have prerequisites, which are not listed. You will need to consult the department website for such details. Often a search on “NYU” + the course name will lead to details for the course.

 

Electives by Discipline or Domain

The courses below are organized around specific disciplines or domains. Be aware that the courses listed are not necessarily offered every semester.  

Applied Statistics (PRIISM/Steinhardt)

  • APSTA-GE 2004: Advanced Modeling I: Multivariate Analysis
  • APSTA-GE 2012: Causal Inference: Statistical Methods For Program Evaluation and Policy Research
  • APSTA-GE 2013: Missing Data
  • APSTA-GE 2014: Adv Topics in Quant Meth: Statistical Analysis of Networks
  • APSTA-GE 2015: Adv Topics in Quant Meth: Applied Spatial Statistics
  • APSTA-GE 2016: Factor Scoring and Practical Issues in Scaling
  • APSTA-GE 2040: Multilevel Models: Growth Curves
  • APSTA-GE 2041: Practicum In Multi-Level Models
  • APSTA-GE 2042: Multilevel Models: Nested-Data Models
  • APSTA-GE 2094: Factor Analysis and Structural Equation Modeling
  • APSTA-GE 2110: Applied Statistics: Using Large Databases in Education Research
  • APSTA-GE 2122: Applied Statistical Modeling & Inference
  • APSTA-GE 2134 Experimental and Quasi-Experimental Design
  • APSTA-GE 2351 Probability: Theory and Practice
  • APSTA-GE 2997: Advanced Methods in Health and Policy Research (Generalized Linear Models)
  • APSTA-GE 2013001: Topics in Advanced Quant Method
  • RESCH-GE 2139: Survey Research Methods I
  • PUHE-GE 2306: Epidemiology

Artificial Intelligence

  • Center for Data Science
    • DS-GA-1008-001: Deep Learning
  • Computer Science (Courant)
    • CSCI-GA.2271-001: Computer Vision
    • CSCI-GA.2560-001: Artificial Intelligence
    • CSCI-GA.2965-001: Heuristic Problem Solving
    • CSCI-GA.3033-009: Speech Recognition
    • CSCI-GA.3033-001: Statistical Natural Language Processing
    • CSCI-GA.2590-001: Natural Language Processing
    • CSCI-GA-2566-001: Foundations of Machine Learning
    • CSCI-GA.3033-004: Social Networks

Biology and Bioinformatics

  • MATH-GA 2852.002/BIOL-GA 1131.001: Biophysical Modeling of Cells & Populations
  • MATH-GA 2852.001/BIOL-GA 2852.001: Stochastic Problems in Cellular, Molecular and Neural Science
  • MATH-GA.2851.001: Advanced Topics in Math Biology
  • Tandon
    • BI 7513: Chemical Foundation For Bioinformatics
    • BI 7523: Biological Foundation For Bioinformatics
    • BI 7543: Bioinformatics II: Protein Structure
    • BI 7553: Bioinformatics III: Functional Prediction
    • BI 7623: Systems Biology: -Omes and -Omics
    • BI 7643: Computational Tools Perl & Bioperl
    • BI 7633: Microarray Data Analysis
    • BI 7653: Next Generation Sequence Analysis
    • BI 7843: Molecular Modeling and Simulation
    • BI 7533: Bioinformatics I: Sequence Analysis
    • BI 7613: Introduction to Systems Biology
  • BIOL-GA 1007: Programming for Biologists
  • BIOL-GA.1009: Biological Databases and Data mining (4 Credits)
  • BIOL-GA.1130: Applied Genomics: Introduction to Bioinformatics and Network Modeling (4 Credits)
  • CSCI-GA.2520-001/BIOL-GA.1127: Bioinformatics & Genomes (4 Points)

Biostatistics

  • EHSC-GA 2304: Advanced Topics in Biostatistics
  • EHSC-GA 2330: Advanced Topics in Survival Analysis
  • EHSC-GA 2331: Advanced Topics in Data Mining with Applications to Genomics
  • EHSC-GA 2303: Introduction to Biostatistics
  • EHSC-GA 2047: Introduction to Survival Analysis
  • EHSC-GA 2306: Methods of Applied Statistics and Data Mining with Applications to Biology and Medicine
  • EHSC-GA 2332: Methods for the Analysis of Longitudinal Data
  • EHSC-GA 2045: Methods for Categorical Data Analysis in Health Sciences Research
  • EHSC-GA2335: Sampling Methods and Applications in Health Surveys
  • EHSC-GA2313: Statistical Problems in Medicine and Biology
  • EHSC-GA 2333: Introduction to Measurement Error in Biomedical Research
  • EHSC-GA 2334: Statistical Methods in Genetics and Genetic Epidemiology
  • EHSC-GA 2335: Sampling Methods and Applications in Health Surveys
  • EHSC-GA 2336: Introduction to Statistical Inference
  • EHSC-GA 2337: Causal Inference in Observational Studies
  • EHSC-GA 2338: Statistical Methods for Clinical and Translational Research

Business

  • Stern
    • ACCT-GB.3304: Modeling Finc Statements
    • COR1-GB.2311: Foundations of Finance
    • ECON-GB.2355: Behavioral Economics: Decisions and Strategies
    • ECON-GB.3351.01: Econometrics I
    • FINC-GB.2334: Financial Services Industry
    • FINC-GB.3121: Topics In Hedge Fund Strategies
    • FINC-GB.3332: Portfolio Management
    • INFO-GB.2335: Programming in Python
    • INFO-GB.2346: Dealing with Data
    • INFO-GB.2350 Robo Advisors & Systematic Trading
    • INFO-GB.3306: Data Visualization
    • INFO-GB.3322: Design and Development of Web and Mobile Applications
    • INFO-GB.3351: Risk Management Systems
    • INFO-GB.3391: Research Sem: Data Science
    • INFO-GB.5336: Intro to Data Science Business
    • MGMT-GB.2159: Collaboration, Conflict, and Negotiation
    • MGMT-GB.3321: Developing Managerial Skills
    • MGMT-GB 3335: Foundations of Entrepreneurship
    • MGMT-GB.3337: Foundations of Technology Entrepreneurship
    • MGMT-GB.3351: Game Theory
    • MKTG-GB.2354: Data Driven Decision Making
    • OPMG-GB.2350: Decision Models
    • OPMG-GB.2351.30: Advanced Decision Models
    • STAT-GB.2301: Regression and Multivariate Data Analysis
    • STAT-GB.2302: Forecasting Time Series Data
    • STAT-GB.3127: Statistical Aspects of Market Risk
    • STAT-GB.3302.0: Statistical Inference and Regression Analysis
    • STAT-GB.2301: Regression and Multivariate Data Analysis
    • STAT-GB.2302: Forecasting Time Series Data
    • STAT-GB.2308: Applied Stochastic Processes For Financial Models
    • STAT-GB.2309: Mathematics of Investment
    • STAT-GB.3304: Advanced Theory of Statistics
    • STAT-GB.3305: Bayesian Inference and Statistical Decision Theory
    • STAT-GB.3306: Time Series Analysis
    • STAT-GB.3308: Sampling Techniques
    • STAT-GB.3309: Experimental Design
    • STAT-GB.3314: Statistical Computing and Sampling Methods With Applications to Finance
    • STAT-GB.3383: Frequency Domain Time Series Analysis
    • STAT-GB 4310: Statistics for Social Data
  • School of Professional Studies
    • HRCM1-GC 1210: Quantitative Methods and Metrics for Decision Making

Center for Data Science (CDS)

Center for Urban Science and Progress (CUSP)

  • CUSP-GX.5002: Urban ICT and City Operations
  • CUSP-GX.5001: Foundations of Urban Science
  • CUSP-GX.5003: Principles of Urban Informatics

Computer Science

Economics

  • ECON-G31.1003: Microeconomic Theory
  • ECON-G31.1005: Macroeconomic Theory I
  • ECON-G31.1101: Applied Statistics and Econometrics I
  • ECON-G31.1102: Applied Statistics and Econometrics II
  • ECON-G3351.01: Econometrics I
  • ECON-GA 1001: Math for Economists (MA)
  • Stern
    • ECON-GB.2333: Monetary, Policy, Banks, and Central Banks

Large-Scale Computation

  • Computer Science (Courant)
    • CSCI-GA.1180: Mathematical Techniques for Cs
    • CSCI-GA.2112-001 & MATH-GA.2043.001: Scientific Computing
    • CSCI-GA.2270: Computer Graphics
    • CSCI-GA.2271: Computer Vision
    • CSCI-GA.2434-001: Advanced Database Systems
    • CSCI-GA.2580-001:  Web Search Engines
    • CSCI-GA.2945: Tpcs in Numerical Analy
    • CSCI-GA.2945-001: High Performance Scientific Computing
    • CSCI-GA.3033-011: Cloud Computing: Concepts And Practice
    • CSCI-GA.3033-012: Multicore Processors: Architecture & Programming
    • CSCI-GA.3033-008: Special Topics: Realtime and Big Data Analytics
    • CSCI-GA.3033-012: Cloud Computing
    • CSCI-GA.3210: Intro to Cryptography
    • CSCI-GA.3813: Advanced Lab:
  • Tandon
    • CS 6913 Web Search Engines
    • CS-GY.6313: Information Visualization

Mathematical Finance

  • MATH-GA 2045.001: Computational Methods For Finance
  • MATH-GA 2041.001: Computing in Finance
  • MATH-GA 2706.001: Partial Differential Equations For Finance
  • MATH-GA 2707.001: Time Series Analysis & Statistical Arbitrage
  • MATH-GA 2708.001: Algorithmic Trading & Quantitative Strategies
  • MATH-GA 2709.001: Financial Engineering Models For Corporate Finance
  • MATH-GA 2751.001: Risk & Portfolio Management w/Econometrics
  • MATH-GA 2752.001: Active Portfolio Management
  • MATH-GA 2753.001: Advanced Risk Management
  • MATH-GA 2791.001: Derivative Securities
  • MATH-GA 2792.001: Continuous Time Finance
  • MATH-GA 2796.001: Mortgage-Backed Securities and Energy Derivatives
  • MATH-GA 2797.001: Credit Markets & Models
  • MATH-GA 2798.001: Interest Rate & Fx Models

Mathematical Foundations

  • Computer Science (Courant)
    • CSCI-GA-2420-001/MATH.GA.2010.001: Numerical Methods I
    • CSCI-GA-2566-001: Foundations of Machine Learning
  • MATH-GA.2011.001: Advanced Topics in Numerical Analysis
  • MATH-GA 2020.001/CSCI-GA 2421.001: Numerical Methods II
  • MATH-GA.2046.001: Advanced Econometric Modeling
  • MATH-GA.2048.001: Scientific Computing in Finance
  • MATH-GA.2110.001: Linear Algebra I
  • MATH-GA.2111.001: Linear Algebra (One-Term)
  • MATH-GA.2170.001: Intro to Cryptography
  • MATH-GA.2430.001: Real Variables I
  • MATH-GA 2563.001: Harmonic Analysis
  • MATH-GA.2701.001: Methods of Applied Mathematics
  • MATH-GA.2757.001: Regulation and Regulatory Risk
  • MATH-GA.2830: Advanced Topics in Applied Math – Mathematics of Data Science
  • MATH-GA.2901.001: Basic Probability
  • MATH-GA 2902.001: Stochastic Calculus
  • MATH-GA 2911.001: Probability: Limit Theorems I
  • MATH-GA 2912.001: Probability: Limit Theorems II
  • MATH-GA.2931.001: Advanced Topics in Probability
  • MATH-GA.3771.001: Independent Study
  • MATH-GA.3775.001: Advanced Practical Training

Music

  • MPATE-GE 2623: Music Information Retrieval
  • MPATE-GE2599001: Fundamentals of Digital Signal

Neuroscience

  • NEURL-GA.3042.: Mathematical Aspects of Neurophysiology
  • NEURL-GA.3235.: Information Processing and Visual Pathways
  • BMSC-GA 2440: Emerging Diseases and Bioterrorism: Disease Surveillance Epidemiology
  • BMSC-GA 2604:  Bioinformatics (4 Credits)

Physics

  • PHYS-GA 2000: Computational Physics

Political Science

  • POL-GA.2106: Methods of Political and Social Analysis (4 Credits)
  • POL-GA.1120: Introduction to Quantitative Political Analysis I (4 Credits)
  • POL-GA.2105: Formal Modeling in Political Science (4 Credits)
  • POL-GA.2108: Game Theory and Politics
  • POL-GA.2127: Introduction to Quantitative Political Analysis II

Psychology

  • APSY-GE 2140: Measurement: Classical Test Theory
  • APSY-GE 2141: Measurement: Modern Test Theory
  • APSY-GE 2142: Measurement And Evaluation: Psychometric Theory
  • APSY-GE 2143: Construction of Psychological Tests
  • APSY-GE 2074: Research Design and Methodology in the Behavioral Sciences II
  • PSYCH-GA.2067-001: Applied Research Methods
  • PSYCH-GA.2217 -001: Research Methods Is S/P
  • PSYCH-GA.2226-001: Psycholinguistics
  • PSYCH-GA.2248-001: Analysis of Change
  • PSYCH-GA.3393-001: Seminar in Neurolinguistics
  • PSYCH-GA.3405-001: Causal Learning
  • PSYCH-GA.3405-001: Neuroeconomics and Decision Making
  • PSYCH-GA.3405: Bayesian Modeling of Behavior

Sociology

  • SOC-GA.2330: Introduction to Methods of Sociological Research (4 Points)
  • Design of Social Research (In the AQR Program)
  • Techniques of Quantitative Analysis I (In the AQR Program)
  • Techniques of Quantitative Analysis II (In the AQR Program)

Statistical and Mathematical Methods

  • CSCI-GA.2112-001 & MATH-GA.2043.001: Scientific Computing
  • CSCI-GA-2420-001/MATH.GA.2010.001: Numerical Methods I
  • CSCI-GA.2945-001: High Performance Scientific Computing
  • CSCI-GA.2945-001 & MATH-GA.2620.002: Monte Carlo Methods
  • CSCI-GA.2945-002 & MATH-GA-2011.002: Numerical Optimization
  • CSCI-GA.2965-001: Heuristic Problem Solving
  • MATH-GA.2901.001: Basic Probability
  • MATH-GA 2020.001/CSCI-GA 2421.001: Numerical Methods II
  • MATH-GA.2011.003: Analytical Methods in Computer Science
  • MATH-GA 2701.001: Methods of Applied Math
  • MATH-GA 2704.001: Applied Stochastic Analysis
  • MATH-GA 2840.002: Data Analysis Methods For High-Dimensional Time Series
  • MATH-GA 2902.001: Stochastic Calculus
  • MATH-GA.2962.001: Mathematical Statistics

Tandon School of Engineering

  • CS-GY 5403: Data Structures and Algorithms
  • CS-GY 6033: Design and Analysis of Algorithms I
  • CS-GY 6043: Design and Analysis of Algorithms II
  • CS-GY 6083: Principles of Database Systems
  • CS-GY 6093: Advanced Database Systems
  • CS-GY 6313: Information Visualization
  • CS-GY 6323: Large-Scale Visual Analytics
  • CS-GY 6613: Artificial Intelligence I
  • CS-GY 6643: Computer Vision and Scene Analysis
  • CS-GY 6673: Neural Network Computing
  • CS-GY 6913: Web Search Technology

Wagner (Public Service)

  • EXEC-GP 4119 Data Visualization and Presentation
  • PADM-GP 2875: Estimating Impacts in Policy Research
  • PADM-GP 4114: Surveys and Interviews: A Laboratory on Techniques of Sampling, Designing, Conducting, and Analyzing Surveys and Interviews