Program Overview

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Master’s Program

The Master’s Program at the NYU Center for Data Science offers students a unique opportunity to apply their knowledge to practical situations and develop critical skills such as problem-solving and collaboration.

Curriculum

The Master’s Program curriculum includes:

• Industry Concentration
• Tracks
• Capstone Project

Capstone Project

The Capstone Project is designed to help students apply their knowledge to real-world problems. Students are matched with research labs within the NYU community and industry partners to investigate pressing issues, applying data science to areas such as:

• Probability and statistical analyses
• Natural language processing
• Big Data analysis and modeling
• Machine learning and computational statistics
• Coding and software engineering
• Visualization modeling
• Neural networks
• Signal processing
• High-dimensional statistics

Fall 2024 Capstone Project List

The Fall 2024 Capstone Project List includes:

• A machine learning framework for identifying interacting DNA elements from multiomics data
• A Non-biased Resume Screener in the Public Interest
• Advanced AI Techniques for Dynamic Portfolio Management and Financial Forecasting
• AI Tools for Journalists
• AI-Driven Reimbursement Code Discovery for HealthTech Start-Ups
• AI-powered deconvolution of RNA-sequencing data data
• American Colleges and Universities As Social Networks
• Audio-Visual Speaker Diarization Leveraging Foundation Models
• Calculating Weights for Causal Inference using Wasserstein GANs
• Deep learning models for cryptocurrency price analysis
• Designed Validation Sets
• Detecting Cognitive Impairment in Patient-Provider Communication
• Developing Multimodal Detection Systems for Narratives Promoting Misleading Information
• Developing Real-Time World Insight Reports with Machine Learning and LLMs
• Digitizing P&ID into Industrial Knowledge Graphs
• Dual-RAG: Advanced Financial Video QA with Multimodal RAG system
• Enhanced Automatic Annotation of Spoken Adult-Child Interactions
• Enhancing Large Language Models for Psychiatric Assessment
• Estimation of a Latent Space Model for Strategic Network Formation
• Hepatocellular Carcinoma Recurrence Prediction Radiomics Model
• Improving genetic prediction of disease risk
• Improving MRI Image Reconstruction via Generative AI
• Information-constrained emergent communication
• Large Language Models Encode Search for Clinical Evidence in Cancer Therapeutics
• Learning to detect breast cancer utilizing all imaging modalities
• Life Time Value (LTV) Model
• Long-form Egocentric Video Understanding
• Machine Learning-Driven Performance Monitoring in NYU’s DWDM Optical Transport Network
• Model and predict videoconference communication experience quality using multimodal data
• Optimizing Generative AI Modeling Stack for Sophisticated Financial Question Answering
• Optimizing Kidney Composite Allocation Score Using Simulation Optimization
• Political Partisanship and the US Judicial System
• Power Grids and Markets: Quantitative Trading and Analysis
• Predicting Agency Project/Program Success
• Real-Time Interpretation and Translation for Low-Resource Languages
• Relational Deep Learning and Graph Neural Networks for Anti Money Laundering
• Scaling Satellite Imagery of Urban Streets via Automated Classification and OpenStreetMap
• Solar Foundation Models
• Spatial Morbidity and Co-morbidity in the U.S.
• Tofu’s Candidate Matching Model
• Understanding Distribution Shifts in Time
• Use AI and math tools to do real estate appraisals
• User-centric AI-models for assisting the visually impaired
• Utilize large language model to analyze radiology report
• Video representation learning

Best Fall 2024 Capstone Poster

The Best Fall 2024 Capstone Poster is:

• Optimizing Generative AI Modeling Stack for Sophisticated Financial Question Answering
  • Student Authors: Haoyan Yang, Yixuan Wang, Ruxi Zheng, Zheng Tong
  • Project Mentors: Urjit Patel, Jessie Yeh, Chinmay Gondhalekar

2023 Posters

The 2023 Posters include:

• Best Fall 2023 Capstone Posters
  • Multimodal NLP for M&A Agreements
    • Student Authors: Harsh Asrani, Chaitali Joshi, Tayyibah Khanam, Ansh Riyal
    • Project Mentors: Vlad Kobzar, Kyunghyun Cho
  • Partisan Bias and the US Federal Court System
    • Student Authors: Annabelle Huether, Mary Nwangwu, Allison Redfern
    • Project Mentors: Aaron Kaufman, Jon Rogowski
• Best Fall 2023 Student Voted Posters
  • User-Centric AI Models for Assisting the Blind
    • Student Authors: Gail Batutis, Aradhita Bhandari, Aryan Jain, Mallory Sico
    • Project Mentors: Giles Hamilton-Fletcher, Chen Feng, Kevin C. Chan
  • Multi-Modal Foundation Models for Medicine
    • Student Authors: Yunming Chen, Harry Huang, Jordan Tian, Ning Yang
    • Project Mentors: Narges Razavian
• Best Fall 2023 Student Voted Runner-Up Posters
  • Representational Geometry of Learning Rules in Neural Networks
    • Student Authors: Ghana Bandi, Shiyu Ling, Shreemayi Sonti, Zoe Xiao
    • Project Mentors: SueYeon Chung, Chi-Ning Chou
  • Medical Data Leakage with Multi-site Collaborative Training
    • Student Authors: Christine Gao, Ciel Wang, Yuqi Zhang
    • Project Mentors: Qi Lei

Fall 2023 Capstone Project List

The Fall 2023 Capstone Project List includes:

• A machine learning model to predict future kidney function in patients undergoing treatment for kidney masses
• Advanced Name Screening and Entity Linking Using large language models
• Automated assessment of epilepsy subtypes using patient-generated language data
• Bringing Structure to Emergent Taxonomies from Open-Ended CMS Tags
• Build Models for Multilingual Medical Coding
• Building an Interactive Browser for Epigenomic & Functional Maps from the Viewpoint of Disease Association
• Causal GANs
• Designing Principled Training Methods for Deep Neural Networks
• Developing predictive shooting accuracy metric(s) for First-Person-Shooter esports
• Discovering misinformation narratives from suspended tweets using embedding-based clustering algorithms
• Does resolution matter for transfer learning with satellite imagery?
• Egocentric video zero-shot object detection
• Evaluating the Capability of Large Language Models to Measure Psychiatric Functioning
• Explanatory Modeling for Website Traffic Movements
• Extracting causal political narratives from text.
• Fine-Tuning of MedSAM for the Automated Segmentation of Musculoskeletal MRI for Bone Topology Evaluation and Radiomic Analysis
• Foundation Models for Brain Imaging
• Housing Price Forecasting – Alternative Approaches
• Identify & Summarize top key events for a given company from News Data using ML and NLP Models
• Improving Out-of-Distribution Generalization in Neural Models for Astrophics and Cosmology?
• Knowledge Extraction from Pathology Reports Using LLMs
• Leverage OncoKB’s Curated Literature Database to Build an NLP Biomarker Identifier
• Measuring Optimizer-Agnostic Hyperparameter Tuning Difficulty
• Medical Data Leakage with Multi-site Collaborative Training
• Metadata Extraction from Spoken Interactions Between Mothers and Young Children
• Multi-Modal Foundation Models for Medicine
• Multimodal NLP for M&A Agreements
• Multimodal Question Answering
• Network Intrusion Detection Systems using Machine Learning
• Online News Content Neural Network Recommendation Engine
• OptiComm: Maximizing Medical Communication Success with Advanced Analytics
• Partisan Bias and the US Federal Court System
• Predicting cancer drug response of patients from their alteration and clinical data
• Predicting year-end success using deep neural network (DNN) architecture
• Prediction of Acute Pancreatitis Severity Using CT Imaging and Deep Learning
• Preparing a Flood Risk Index for the State of Assam, India
• Representational geometry of learning rules in neural networks
• Segmentation of Metastatic Brain Tumors Using Deep Learning
• Social Network Analysis of Hospital Communication Networks
• Supporting Student Success through Pipeline Curricular Analysis
• Transformers for Electronic Health Records
• Uncertainty Radius Selection in Distributionally Robust Portfolio Optimization
• Unveiling Insights into Employee Benefit Plans and Insurance Dynamics
• User-centric AI models for assisting the blind
• Using Deep Learning to Solve Forward-Backward Stochastic Differential Equations
• What Keeps the Public Safe While Avoiding Excessive Use of Incarceration? Supporting Data-Centered Decision​-making in a DA’s Office