PhD Program

PhD Program in Business Data Science

Data Science is an emerging and rapid growing field that has profound impact in today’s technology-driven business world. The Martin Tuchman School of Management (MTSM) at New Jersey Institute of Technology (NJIT) offers a Ph.D. Program in Business Data Science to educate the  next generation of data scientists for business and management. Launched in Fall 2016, this leading-edge interdisciplinary program is the first of its kind in the United States. The Program integrates business analytics and management systems theory with scientific methods from statistics, computing science and engineering to improve knowledge discovery and decision making in business and management.

We encourage exceptional students with a bachelor or a higher degree in business, engineering, computer science, math or other related disciplines  to apply for this STEM-designated Ph.D. Program. Successful graduates become scientists, scholars, or corporate leaders using data science for business decision making and creating value in diverse business applications. Applicants from minority and under-represented groups are especially welcome.

The PhD program in Business Data Science will educate the next generation of researchers, scholars and scientists who can use data science to create value in diverse business applications, such as finance, accounting, operations, marketing, and human resources.

  • Admission Requirement – Apply Online
  • Degree Requirement and Program Catalog
  • Program Timeline and Other Information

For more info, contact Program director, Professor Yi Chen: yi.chen@njit.edu


Admission Requirements

Prospective applicants are expected to have strong quantitative backgrounds, some software development experience or computational skills, and a basic understanding of business principles. The minimum requirements for admission to the PhD program are within the guidelines and policies approved by the University and include:

• A Bachelor’s degree in business, computer science, engineering, math or other related disciplines from a college or university accredited in the United States or its equivalent, with a minimum overall GPA of 3.0 out of 4.0.  

• Either GRE or GMAT scores are required.

• International student applicants shall demonstrate proficiency in English if English is not the first language following the NJIT admission standard. Exemptions can be granted to applicants who have earned (or will earn, before enrolling at NJIT) a U.S.bachelor’s, master’s, or doctoral degree from a university of recognized standing in a country in which all instruction is provided in English.   

• Prepared students shall have background in programming and data structure (e.g. NJIT CS 280 or CS 505), advanced Calculus (e.g. NJIT Math 211), Probability and Statistics (e.g. NJIT MGMT 216 or Math 333), and basic business knowledge (e.g. NJIT MGMT 492, MGMT 501). Admitted students lacking competencies in one or more areas shall consult with the academic advisor to take relevant bridge courses.

Applicants to the program are expected to be drawn from diverse backgrounds, including both domestic and International students, and students from diverse ethnic groups, as well as under-represented groups.  

To apply, please submit your application at NJIT official application website (http://www.njit.edu/admissions/apply-online.php)


Degree Requirements and Program Catalog

To be linked with program catalog


Program Timeline and Other Information

To continue in the PhD program, a student must fulfill the following requirements.

  • Maintain cumulative GPA of 3.0 or better.
  • End of year one: student must have completed bridge courses upon academic advisor’s suggestion with a grade of at least a B in each course.  Student must take the PhD qualifying exam.  Upon the approval of the PhD program academic advisor, student must have filed a program of study that lists the courses to be taken and the timeline of study.
  • Students are recommended to choose a dissertation advisor as soon as possible, but no later than 3 months after passing the qualifying exam.
  • Any change to the program of study must be approved by the PhD program academic advisor and dissertation advisor (if chosen).
  • End of year two: student must have passed the qualifying exam.
  • End of year three: student must have a dissertation committee established and the dissertation proposal must be successfully defended.
  • Attending at least 50% of all School seminars.
  • Full-time student must have the dissertation must be defended successfully by the end of the sixth year in the PhD program.

Any PhD student who has received TA or RA support is not eligible for transferring to the M.S. program in the school. Consequently, withdrawing from the PhD program or being disqualified from the PhD program results in the student leaving the school without being awarded a degree.