Overview
The Data Science doctoral programme from New Jersey Institute of Technology enables a promising student to develop their knowledge, mastery, and expertise to a higher level. The work environment for Ph.Ds. can be quite different. Ph.D. graduates are typically more free to work on what interests them and topics they are passionate about.
Career paths and options
Graduates typically pursue one of two career paths, sometimes moving between both:
- Ph.D. Jobs in Academia: Ph.D. graduates may work as teaching professors, research professors, post-docs, or other roles with the world’s 40,000 universities and institutions of research and higher learning. This path can provide Ph.D. graduates with a great deal of freedom, creative outlet, job satisfaction, and job security.
- Ph.D. Jobs in Industry: Recently, more Ph.D. graduates are employed by technology and other corporations conducting applied research, developing and testing new digital products, or leading new companies. Ph.D.s in these settings may rise through the ranks to lead parts of the organization in R&D management or other roles.
- Ph.D. Jobs in Government: The importance of Data Science has not been lost on the many levels and branches of the government. To effectively administer a county, state or major metropolitan area, data is an essential source. This has been reflected by increased Data Science hiring and development in many government offices. As former New York City Mayor Michael Bloomberg said, "In God we trust. Everyone else bring data."
Programme Structure
Courses include:
- Machine Learning
- Regression Analysis Methods
- Data Analytics with R Programming
- Deep Learning
- Applications of Parallel Computing
Key information
Duration
- Full-time
- 72 months
Start dates & application deadlines
- Starting
- Apply before , International
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- Starting
- Apply before , National
- Apply before , International
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- Starting
- Apply before , National
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- It is recommended that international students begin the application process six months prior to the start of the semester to allow sufficient time for processing international credentials and applying for a student visa.
Language
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Delivered
Campus Location
- Newark, United States
Disciplines
Data Science & Big Data View 29 other PhDs in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
English requirements
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- 98 accuracy using real exam data
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Other requirements
General requirements
- A Bachelor’s degree in data science, computer science, informatics, mathematics/statistics, engineering, or another closely related discipline (as approved by the PhD directors) from a college or university accredited in the United States, or its equivalent, with an expected overall GPA of 3.5 out of 4.0.
- GRE scores are required. They will be evaluated in agreement with other Ph.D. programs at NJIT.
- Prepared students shall have a good background in programming and data structures (corresponding to NJIT CS 280 and CS 435), multivariate calculus (e.g. NJIT Math 211), and Probability and Statistics (e.g. Math 333/341). Admitted students lacking competencies in one or more of these areas shall consult with the academic advisor to take relevant preparatory courses.
- International student applicants shall demonstrate proficiency in English if it is not their first language, following the NJIT admission standard.
Tuition Fees
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International Applies to you
Applies to youNon-residents40586 USD / year≈ 40586 USD / year - Out-of-State40586 USD / year≈ 40586 USD / year
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Domestic
Applies to youIn-State28632 USD / year≈ 28632 USD / year
Additional Details
Tuition per 12-19 credits.
Living costs
Newark
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find PhD's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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