Duke University, Social Science Research Institute

Name

Duke University, Social Science Research Institute

Legal name

Duke University, Social Science Research Institute

Website

https://datascience.duke.edu

Company type

Private

Founded year

2020

Operating status

Operating

Headcount range

11–50 employees

Ownership category

akta.pro rank

Product category

Higher Education / Graduate Data Science Program

NAICS

Colleges, Universities, and Professional Schools (6113), Computer Training (611420)

SIC

Services-Educational Services (8200)

akta.pro primary industry

Data Science & Analytics (Data Literacy, SQL, Visualization) (EDAMACAF)

akta.pro secondary industry

Online Technology & Computer Science Universities (EDAHALAH)

Keywords

• Graduate data science program
• Applied data science education
• Interdisciplinary analytics training
• Data science master's degree
• Machine learning curriculum

Headquarters

HQ city

Durham

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2C

Offering type

Services

Cost components

Personnel, Operations, Infrastructure, Technology or R&D, Marketing or Sales

Revenue model

1. Tuition Revenue: Two-year Master in Interdisciplinary Data Science program with tuition charges for degree completion

Pricing tiers

Go-to-market motion1 record

Distribution channels1 record

Marketing channels4 records

Core offering

A two-year applied data science Master's degree program delivered on the Duke University campus through the Social Science Research Institute. The program combines core data science coursework (machine learning, statistics, cloud computing, databases, distributed systems) with specialized elective tracks in Quantitative Finance, Climate, and Health, plus a required summer internship and year-long capstone project with an external organization. Students graduate prepared to deploy data science solutions immediately in industry, government, healthcare, or research roles.

Product overview

The Duke Master in Interdisciplinary Data Science (MIDS) is a two-year applied data science Master's degree program operated by Duke University's Social Science Research Institute. The program consists of a core curriculum with specialized elective tracks (Quantitative Finance, Climate, Health), a required summer internship between years, and a year-long capstone project where students partner with real organizations. Supporting offerings include bootcamp training, Git/GitHub workshops, alumni mentorship, and student groups. Students receive training in cloud, databases, distributed systems, and ethical data science practices, graduating with skills to deploy solutions immediately in industry, government, healthcare, or research roles.

Differentiator

Problem solved

Functional benefit

Products and services

• Master in Interdisciplinary Data Science (MIDS) A two-year applied data science Master's degree program that prepares students to solve real-world problems through critical thinking, collaboration, communication, and ethical application of cutting-edge data science methods. Includes training in cloud, databases, and distributed systems. Targeted at students with quantitative backgrounds seeking graduate-level data science education.
• MIDS Capstone Projects Year-long collaborative projects in which second-year students partner with external organizations to work on real data science problems, producing both insights and deployable code with white papers and final presentations as deliverables.
• MIDS Summer Internship Program Required summer internship between the first and second academic year providing practical experience and professional network building. All students are eligible for CPT; international students can work in the US during their program.
• MIDS Bootcamp Intensive pre-program training session held in August before the formal academic year begins, covering foundational data science skills for incoming students.
• MIDS Elective Tracks Specialized elective tracks in Quantitative Finance, Climate, and Health domains that allow students to develop interdisciplinary expertise combining data science with domain application areas.
• Capstone Partnership Program Partnership program that allows external organizations to sponsor and collaborate on year-long capstone projects, providing access to MIDS student teams working on real data science problems in exchange for project guidance and data access.

Quantifiable outcome

• 67% of students enter with prior work experience, demonstrating career-focused orientation
• +1 more outcomes

Named customers5 records

Segments1 record

Ideal customer profiles2 records

Technology focussed No

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability12 records

Feature3 records

Partnerships

42 partnerships are on record, tiered minor.

• Orderly HealthminorStrategic or Co-development PartnerMIDS capstone partner for healthcare provider database verification project using AI and machine learning to verify healthcare provider information
• Duke Nicholas Institute for Energy, Environment & SustainabilityminorStrategic or Co-development PartnerPartner for solar energy adaptation analysis at wastewater treatment plants
• DataOceansminorStrategic or Co-development PartnerAI-driven data preprocessing and automated data processing solutions
• Next College Student Athlete (NCSA)minorStrategic or Co-development PartnerCollege recommendation engine for student athletes
• AMECOminorStrategic or Co-development PartnerDynamic pricing model for construction service company
• 2nd Order SolutionsminorStrategic or Co-development PartnerFairness in machine learning pipeline for evaluating and reducing bias in financial classification models
• Duke Department of AnesthesiologyminorStrategic or Co-development PartnerDrug diversion care flags using machine learning on electronic health records
• ProofpointminorStrategic or Co-development PartnerOptimizing large language models for cybersecurity threat detection
• Children's Health & Discovery Initiative, Duke Department of PediatricsminorStrategic or Co-development PartnerSocial drivers of health and child well-being research using EHR and census data
• United States ArmyminorStrategic or Co-development PartnerAnalysis of Special Forces application pipelines to improve recruitment processes
• RTI InternationalminorStrategic or Co-development PartnerOpioid crisis interventions research and text analysis projects
• Conservation FundminorStrategic or Co-development PartnerForest biomass estimation using remote sensing and LiDAR data
• Saving NatureminorStrategic or Co-development PartnerAnimal detection in camera trap footage for habitat conservation
• Energy Analytics LabminorStrategic or Co-development PartnerEnergy infrastructure detection in satellite imagery
• WattTimeminorStrategic or Co-development PartnerStack height prediction from satellite imagery for emissions monitoring
• Credit SuisseminorStrategic or Co-development PartnerFinancial market commentary automation
• Duke Big Ideas LabminorStrategic or Co-development PartnerCOVID-19 wearable device data infrastructure development
• Durham Public SchoolsminorStrategic or Co-development PartnerSchool segregation analysis in Durham County
• IEEEminorStrategic or Co-development PartnerKnowledge graph APIs for digital library scholarly publications
• Red VenturesminorStrategic or Co-development PartnerArticle tagging system with NLP for health-related media
• Spencer StuartminorStrategic or Co-development PartnerBoard effects on company success analysis using S&P 500 data
• MTV/ViacomminorStrategic or Co-development PartnerCampus voting access research
• Duke World Food Policy CenterminorStrategic or Co-development PartnerSchool meals research and food policy analysis
• Duke Department of MedicineminorStrategic or Co-development PartnerAuto-eHRmonize project for electronic health record automation
• QSIDE InstituteminorStrategic or Co-development PartnerSentencing bias research in North Carolina courts
• Citizens Financial GroupminorStrategic or Co-development PartnerClimate risk monitoring for insurance markets and marketing optimization models
• BNYminorStrategic or Co-development PartnerFX forecasting with LLMs and compliance reporting automation
• Neuberger BermanminorStrategic or Co-development PartnerEmbedding-based topic clustering for financial text analysis
• GSKminorStrategic or Co-development PartnerAI-driven compliance risk intelligence for life sciences
• Duke TRUST LabminorStrategic or Co-development PartnerTrustworthy AI for wearable sleep trackers
• Becoming rentABLEminorStrategic or Co-development PartnerAccessibility verification in short-term rental platforms using computer vision
• ClearPathminorStrategic or Co-development PartnerMulti-agent investment advisory committee
• Arria-BoostminorStrategic or Co-development PartnerCollege soccer team ranking system
• National Oceanic and Atmospheric Administration (NOAA)minorStrategic or Co-development PartnerNorth Pacific right whale density estimation using passive acoustic data modeling
• Duke University Marine LabminorStrategic or Co-development PartnerProtecting the high seas marine conservation research
• North Carolina State DemographerminorStrategic or Co-development PartnerPopulation data estimation and census analysis
• Research.AIminorStrategic or Co-development PartnerReinforcement learning for stock trading and power grid management
• Duke Energy InitiativeminorStrategic or Co-development PartnerClimate Eye satellite imagery annotation project
• Division of Rheumatology and Immunology, Duke School of MedicineminorStrategic or Co-development PartnerCOVID-19 vaccine pathways research for Lupus patients
• Duke OITminorStrategic or Co-development PartnerMedical student pathway enhancement using EHR data
• Carta HealthcareminorStrategic or Co-development PartnerInternship site for MIDS students in healthcare data science
• DataWorks NCminorStrategic or Co-development PartnerInternship site focused on community organizing and non-profit data science applications

Scale indicators4 records

Recent moves5 records

Expansion highlights5 records

Direct peers

• University of California, Berkeley — Master of Information and Data Science (MIDS): Berkeley's MIDS is the closest direct peer: a graduate-level data science degree offered through a top-tier US public research university, with a comparable interdisciplinary applied curriculum and an online delivery format that competes for the same applicant pool as Duke's on-campus MIDS.
• Stanford University — Data Science Programs: Stanford offers graduate data science pathways (Statistics/Computational track, ICME MS, CS MS with data science focus) at a peer top-tier research university, competing with MIDS for the same high-caliber quantitative applicants and serving overlapping employer demand in Silicon Valley.
• Carnegie Mellon University — Heinz College Data Analytics Programs: CMU's Heinz College offers graduate degrees (MISM, MIDA) combining data science with business/analytics, closely matching MIDS' interdisciplinary applied-data-science positioning and competing for applicants seeking applied graduate credentials with industry capstone exposure.
• New York University — Center for Data Science: NYU's CDS offers MS in Data Science at a top-tier private research university, with interdisciplinary training across computer science, statistics, and domain applications — a structurally similar graduate program competing for the same applicant demographics.
• Northwestern University — MS in Analytics / Data Science: Northwestern offers MS in Analytics through McCormick with interdisciplinary applied data science training, capstone-style industry projects, and small cohorts — a private-university direct peer to Duke MIDS in both applicant profile and program structure.
• University of Michigan — MS in Data Science: Michigan's MS in Data Science offers an interdisciplinary curriculum combining statistics, computer science, and applied domain work at a top-tier public research university, providing a comparable applied graduate credential targeting the same employer base as MIDS.
• Columbia University — Data Science Institute: Columbia's DSI offers MS in Data Science with an interdisciplinary applied curriculum at a top-tier private research university in NYC, drawing applicants with prior work experience and competing directly with Duke MIDS for the same cohort profile.
• University of Virginia — MS in Data Science: UVA's MS in Data Science (through the Data Science Institute) offers an applied, interdisciplinary graduate program at a strong public research university, competing with MIDS for applicants targeting East Coast/Mid-Atlantic data science graduate credentials.

Broad incumbents

• Georgia Institute of Technology — OMS Analytics: Georgia Tech's OMS Analytics is one of the largest and most established online data science graduate programs, with broad industry recognition and an applied curriculum — competing with MIDS for the same applicants but at much greater scale and via a different (online) delivery model.
• Massachusetts Institute of Technology — MBAn / Sloan Analytics: MIT Sloan and related programs (MBAn, Master of Business Analytics) offer interdisciplinary data science graduate credentials at the most selective end of the market, competing with MIDS for the highest-caliber applicants and serving overlapping employer demand in finance, tech, and consulting.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xtwitter.com/DukeSSRI
• YouTubeyoutube.com/user/ssriutube
• Facebookfacebook.com/dukemids
• LinkedInlinkedin.com/school/dukedatascience
• Instagraminstagram.com/dukemids

Compliance1 record

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

Funding overview

Funding rounds

Investors

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M&A

Investments

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Frequently asked questions about Duke University, Social Science Research Institute