Ph.D in Business Data Science
Ph.D. in Business Data Science
Ph.D. students in Business Data Science (BDS) are expected to conduct innovative and independent research and have their research findings published in peer-reviewed scholarly journals and academic conference proceedings.
By the beginning of the first semester, upon the approval of the Ph.D. program director, student must have filed a Plan of Study (POS) that lists the courses to be taken and the timeline of study. Any modification to the POS must be approved by the Ph.D. program director and dissertation advisor (if chosen).
Students who lack fundamental knowledge of certain subjects are required to complete assigned bridge courses by the end of year one, with a grade of at least a B in each assigned course. The assignment of bridge courses is based on recommendation and approval by the Ph.D. program director. Subjects and bridge course examples include:
- Programming and data structure (e.g. CS 280 or CS 505)
- Advanced Calculus (e.g. MATH 211)
- Probability and Statistics (e.g. MGMT 216 or MATH 333)
- Basic business knowledge (e.g. MGMT 492)
|Section I Core Courses
|Business Research Methods I
|Business Research Methods II
|Data Mining and Analysis
|or CS 634
|Data Management System Design
|or IS 631
|Enterprise Database Management
|Section II: Core Electives (At least two courses)
|Deep Learning in Business
|Seminar in Marketing Analytics
|Innovation & Entrepreneurship
|Theory and Practice of Financial Research
|Section III: Core Electives- MATH (At least one course)
|Introduction to statistical Computing with SAS and R
|Regression Analysis Methods
|Stat Methods in Data Science
|Advanced Statistical Learning
|Stochastic Processes with Applications
|Design and Analysis of Experiments
|Section IV: Electives
|Independent Study I
|Independent Study II
|Managing Technological and Organizational Change
|Management of Technology
|New Venture Management
|Global Project Management
|Managing Supply and Value Chains
|Legal and Ethical Issues in a Digital World
|Management Strategies for E-Commerce
|Information Systems Principles
|Decision Support Systems for Managers
|Global Marketing Management
|Design and Development of High Technology Products
|Sales Management for Technical Professionals
|Digital Marketing Strategy
|Corporate Finance I
|Global Macro Economics
|Intro to Topics in Fin Tech
|Data Driven Financial Modeling
|Adv Financial Data Analytics
|Corporate Finance II
|Financial Investment Institutions
|Mergers, Acquisitions, and Restructuring
|Investment Analysis and Portfolio Theory
|Data Structures and Algorithms
|Introduction to Big Data
|Advanced Machine Learning
|Pattern Recognition and Applications
|Optimization for Communication Networks
|Selected Topics in Electrical and Computer Engineering
|Data Visualization and Interpretation
|Spatiotemporal Urban Analytics
|User Experience Design
|Data Analytics for Info System
|Business Process Innovation
|Special topics in Information Systems
|Systems Analysis and Simulation
|Advanced Topics in Operations Research
|Total Quality Management
|Supply Chain Engineering
A student entering the program with only a Bachelor’s degree in related areas shall take 36 credits of advanced courses (600-level and 700-level) beyond the Bachelor’s degree with the approval by the Ph.D. program director. The 36 credits shall include core and elective courses, in addition to the credits for dissertation research. Among the 36 credits, at least 12 credits must be 700-level courses.
A student entering the program with a Master’s degree or above in the related areas shall take 21 credits of advanced courses (600-level and 700-level) or equivalent with the approval by the Ph.D. program director. Students with strong credentials in business and/or data science and with a Master’s degree may be approved to take 18 credits of advanced courses, subject to the approval by the Ph.D. committee. At least 12 credits must be 700-level courses.
The required course credits listed above are those in addition to the credits for dissertation research (BDS 792B and BDS 790A).
Students must maintain a cumulative GPA of 3.0 or higher. As per current NJIT policy, students receiving financial support, as assistantship and fellowship, for the first time must have a cumulative GPA of 3.5 or higher. To continue receiving support, they must maintain a cumulative GPA of at least 3.0
All Ph.D. students are required to take Core Course Qualifying Exams by the end of year one and must pass the Core Course Qualifying Exams by the end of year two. The Core Course Qualifying Exams covers subject matter drawn from the core courses.
All Ph.D. students are required to take Subject Qualifying Exam by the end of year two. Each Subject Qualifying Exam covers a subject area based on the student’s research interest.
In addition to the required course credits listed above, students must meet Ph.D. dissertation requirements. Students must register BDS 792B for dissertation proposal and BDS 790A for dissertation. The requirement of BDS 792B and BDS 790A credits are described at: http://www5.njit.edu/graduatestudies/content/new-phd-credit-requirements/ and https://catalog.njit.edu/graduate/academic-policies-procedures/.
Students are recommended to choose a dissertation advisor as soon as possible, but no later than 3 months after passing the Core Course Qualifying Exams.
Dissertation Proposal Defense
The dissertation proposal must be defended in a public forum successfully either by the end of the third year in the Ph.D. program or four semesters after registering for the first time in the 792 pre-doctoral research course, whichever occurs earlier.
PhD students must defend the dissertation successfully by the end of the sixth year in the Ph.D. program.
Please refer to the following website for other institution-wide policies and procedures for Ph.D. programs: https://catalog.njit.edu/graduate/academic-policies-procedures/
Ph.D. students are required to register each semester for a 0-credit course: BDS 791 Doctoral Seminar. Full-time students must attend BDS 791 seminars each semester unless justifiable reasons are approved by the program director in advance. Part-time students are expected to attend at least 50% of the BDS 791 seminars in their first year. They may be asked to perform alternative work assigned by the program director in lieu of attending seminars.
In their first year, Ph.D. students are required to take a 0-credit course: INTD 799 Responsible Conduct of Research and receive a Satisfactory grade.