We use Necessary cookies to make our website work. We’d also like to set optional Functional cookies to gather anonymous site visitation data and Advertising cookies to help us understand which content our visitors value the most. By enabling these cookies, you can help us provide a better website for you. These will be set only if you accept.More information about the cookies we use can be found here Cookies Policy
These cookies are necessary for the website to function and cannot be switched off in our systems. They are usually only set in response to actions made by you which amount to a request for services, such as setting your privacy preferences, logging in, or filling in forms.
We may use a set of cookies to collect information, report site usage statistics and understand how visitors engage with the website. In addition to reporting site usage statistics, data collected may also be used to personalize your experience and remember your chat history. We may also use these data, together with some of the advertising cookies described, to help show more relevant ads across the web and to measure interactions with the ads we show.
We use cookies to make our ads more engaging and valuable to site visitors. Some common applications of cookies are to select advertising based on what’s relevant to a user; to improve reporting on ad campaign performance; and to avoid showing ads the user has already seen.
Ph.D. in Business Data Science
New Jersey Institute of Technology (NJIT), Newark, United States
48 monthsProgram duration
15 Dec, 2023Application Deadline
YesScholarships
Business and Management StudiesMain Subject Area
Program overview
Main Subject
Business and Management Studies
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Business Data Science is an emerging and rapidly growing field with a profound impact in today’s technology-driven business world.
This leading-edge interdisciplinary program is the first of its kind in the United States.
This program integrates business analytics with scientific methods from statistics, computer science, and engineering to improve knowledge discovery and decision-making in business areas.
We encourage exceptional students with a bachelor’s degree or higher in business, engineering, computer science, mathematics, or other relevant disciplines to apply for this STEM-designated Ph.D. Program.
We train Ph.D. Students in Business Data Science to conduct innovative, independent, impactful, and quantitative research in Business disciplines. They are encouraged to submit their work to academic conferences and scholarly journals. Students will have the opportunity to teach in the undergraduate program.
Successful graduates become academics, researchers, business data scientists, corporate leaders, and policy-makers leveraging data science for business decision-making and creating value in diverse business applications.
The Ph.D. program in Business Data Science educates the next generation of scholars and scientists in using data science for various business applications, including but not limited to Finance, Accounting, Operations Management, Marketing, and Innovation Management.
Program overview
Main Subject
Business and Management Studies
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Business Data Science is an emerging and rapidly growing field with a profound impact in today’s technology-driven business world.
This leading-edge interdisciplinary program is the first of its kind in the United States.
This program integrates business analytics with scientific methods from statistics, computer science, and engineering to improve knowledge discovery and decision-making in business areas.
We encourage exceptional students with a bachelor’s degree or higher in business, engineering, computer science, mathematics, or other relevant disciplines to apply for this STEM-designated Ph.D. Program.
We train Ph.D. Students in Business Data Science to conduct innovative, independent, impactful, and quantitative research in Business disciplines. They are encouraged to submit their work to academic conferences and scholarly journals. Students will have the opportunity to teach in the undergraduate program.
Successful graduates become academics, researchers, business data scientists, corporate leaders, and policy-makers leveraging data science for business decision-making and creating value in diverse business applications.
The Ph.D. program in Business Data Science educates the next generation of scholars and scientists in using data science for various business applications, including but not limited to Finance, Accounting, Operations Management, Marketing, and Innovation Management.
Admission requirements
Important Dates
Tuition fee and scholarships
Scholarships
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
In this guide you will find:
Where to look for scholarship opportunities
How to apply to scholarships relevant to you
A list of available scholarships around the world
A scholarship application checklist
More programs from the university
Bachelor UG
Master PG
MBA
PHD
Business and Management (1)
Online Accelerated BS in Business
Arts and Humanities (6)
Architecture
Architecture (MS)
Digital Design
History
Master of Architecture
Master of Fine Arts in Digital Design
Online M.S. in Transportation
Online Master of Architecture
Online Master of Architecture (Advanced Placement)
Online Master of Science in Architecture: Specialize in Sustainability, Urbanism and/or Computation
Urban Design
Business and Management (6)
Applied Mathematics
Applied Statistics
Management
Online M.S. in Applied Science
Online M.S. in Business & Information Systems
Online M.S. in Management
Engineering and Technology (6)
Artificial Intelligence
Bioinformatics
Biomedical Engineering
Business and Information Systems
Chemical Engineering
Civil Engineering
Computer Engineering
Computer Science
Critical Infrastructure Systems
Cyber Security and Privacy
Data Science - Computational Track
Electrical Engineering
Engineering Management
Engineering Science
Environmental Science
Healthcare Systems Management
Industrial Engineering
Information Systems
Information Technology Administration and Security
Internet Engineering
Manufacturing Systems Engineering
Materials Science and Engineering
Mechanical Engineering
Occupational Safety and Health Engineering
Online M.S. in Civil Engineering
Online M.S. in Computer Science
Online M.S. in Computing & Business
Online M.S. in Cybersecurity & Privacy
Online M.S. in Electrical Engineering
Online M.S. in Engineering Management
Online M.S. in IT Administration & Security
Online M.S. in Industrial Engineering
Online M.S. in Power and Energy Systems
Pharmaceutical Engineering
Power and Energy Systems
Software Engineering
Telecommunications
Transportation
Life Sciences and Medicine (6)
Biology
Biology of Health
Biostatistics
Pharmaceutical Chemistry
Natural Sciences (6)
Applied Physics
Chemistry
Environmental Science
Materials Science and Engineering
Social Sciences and Management (6)
Data Science - Statistics Track
Online M.S. in Data Science
Online M.S. in Information Systems
Online M.S. in Professional and Technical Communication
Full-Time MBA (2)
Masters in Business Administration (MBA)
Online/Distance MBA (2)
Online MBA
Arts and Humanities (5)
Urban Systems
Business and Management (5)
Business Data Science
Ph.D. in Business Data Science
Engineering and Technology (5)
Biomedical Engineering
Chemical Engineering
Civil Engineering
Computer Engineering
Computer Science
Data Science
Electrical Engineering
Environmental Engineering
Industrial Engineering
Information Systems
Materials Science and Engineering (Materials Engineering Option)
Mechanical Engineering
Transportation
Life Sciences and Medicine (5)
Biology
Natural Sciences (5)
Applied Physics
Chemistry
Environmental Science
Materials Science and Engineering (Materials Science Option
Mathematical Sciences
FAQs