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Work With Us

We provide the expertise, technology, and student support to deliver the insights you’re looking for.


Industry Engagement


The Center supports innovative data science research across a broad range of established and emerging areas. With faculty from multiple disciplines and areas of expertise, the Center can support a wide range of business objectives. Commonly applied data science methods include but are not limited to artificial intelligence (AI), machine learning, data mining, and statistical and computational analysis.

Some examples of domains in which the center has operated include:

  • Health analytics and digital health
  • Imaging and image understanding
  • Optics
  • Computer/human vision
  • Life sciences and biomedicine
  • Immersive and interactive systems
  • Complex systems and network data science
  • Economics and business data analytics
  • AI-augmented learning and work
  • Defense and security
  • Environment and energy

Offering Data Science Expertise and State-of-the-Art Computation Technology

Data-driven analysis can provide critical insight to inform business decisions that improve efficiency, bolster revenue, and mitigate the risk of capital investment.  As a Center of Excellence in Data Science, we bring university-level expertise and technology to our industry partners. We can enhance existing data science efforts or work on a research project from start to finish.


Consult with Us

The Center offers the opportunity for business organizations to work with faculty who have the technical and domain expertise to effectively address your challenges. You can also engage undergraduate and graduate students in Capstone/Practicum projects.  We can provide an initial consultation to help you determine the best course of action to fulfill your objectives and to provide guidance on what’s required to submit a proposal.

Nick Koziol, Manager of Business Engagement and Communications of the New York State Center of Excellence in Data Science.

Collaboration with Researchers and Faculty

The goal of the Center’s Collaborative Research Program is to stimulate economic growth in New York State by promoting technology transfer from our universities to companies operating in New York State. If you’re interested in participating in a collaborative project with the Center, you must be a business/organization in New York State and be prepared to be actively engaged with the project, financially sponsoring the research, and/or providing assessment of its economic impact. Collaborative projects can be initiated by either an interested organization or a faculty member seeking an industry partner. Organizations interested in starting a project can browse areas of expertise from the Center’s distinguished researchers or Goergen Institute faculty. You are encouraged to contact faculty members directly using email addresses provided in their respective bios. If required, the Center can help connect organizations with data science experts from other universities in New York.

How to Apply

Principal Investigators wanting to apply for funding should download and complete the forms below. If you have any questions about the forms or the program, please contact Nick Koziol at



Capstone/Practicum Projects

Capstone and practicum course students have successfully completed a rigorous set of upper-level undergraduate or graduate level coursework in computational statistics, data mining, machine learning and computational tools in data science. Since the program was launched in 2016, over 75 projects from 45 companies have been offered to students, spanning a broad range of industry segments including:

Marketing/Customer Analytics


Government/Public Agencies


Financial services

Submit A Proposal

Nick Koziol, Manager of Business Engagement and Communications of the New York State Center of Excellence in Data Science.


As a partnering organization, you supply the data with which students engage in semester-long, team-based analytics projects. Students gain valuable experience working on real life problems while partnering organizations benefit from in-depth analysis conducted by students trained in contemporary data science techniques, equipped with state-of-the-art computational technology, and supported by faculty. Students tackle a wide range of research topics including, but not limited to:

Consumption Trends and Change Factors

Customer Analysis

Causality Analysis

Pricing/Demand Analysis

Preventative Maintenance

Text Mining in Social Media

The Process

Each project begins with the partnering company presentation highlighting the following:
• Business needs
• The goals of the data analytics effort
• A description of the available data


There is no sponsorship fee or funding requirement to partner with us on a project.


  • Business provides data for analysis
  • No personally identifiable information in the data sets or problem descriptions
  • Follows your organization’s 3rd party data transfer rules
  • Data sets must be accessible to students as flat file (CSV) or by remote access to company partner’s data base or data warehouse

Business Problem

  • Articulates clearly in a well-defined problem statement of one or two paragraphs
  • Requires statistical analysis or machine learning to solve (e.g. predictive modelling, data mining, knowledge discovery, statistical correlations, visualizations).
  • Calls for some exploratory analysis.
  • Calls for some data wrangling/munging.
  • Can be solved in programming languages like: R, Python, and Java.
  • Offers a contact who can communicate with student teams over the duration of the project.


The capstone project course is typically held in the fall semester, while the practicum course is held in spring. Accordingly, the following deadlines are set for the respective courses:

Capstone Practicum
Partner Organization Engagement July 15 December 1
Project Kick-off Mid September Mid-February
Final Presentation Early December Early May
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