$38,348 /Yr
On-campus
full_time
Master of Science [M.S] Data Science
- Master of Science in Data Science at New Jersey Institute of Technology is a 2 years program.
- It is an on-campus program offered on a full-time basis.
- The Department of Computer Science and offered in collaboration with the Department of Mathematical Sciences.
- The program provides training in three core components of data science: machine learning, big data analysis, and programming for Data Science.
- The student's faculty ratio of the program is 15:1.
- The program provides training in applied statistics, particularly statistical inference.
- Students learn about the program of Data Science applications in high-level languages such as Python and R.
- The program MS in Data Science ranks at #118.
- The Turn around time for the offer letter is 10-15 Days.
- In the past two years, Total International Admissions were 3407 (In 2019 – 1807 and In 2020 – 1600).
Tution & Application Fees
Year | Year 1 | Year 2 |
Tuition Fees | $33744 | $33744 |
Books and Supplies | $1400 | $1400 |
Other Fees | $3204 | $3204 |
Total Fees | $38348 | $38348 |
Examinations
Exam Type | Exam Name | Score | Out of Score | Exam Level |
---|---|---|---|---|
IELTS | International English Language Testing System | 6.5 | 9 | 3 |
TOEFL | Test of English as a Foreign Language | 79 | 120 | 3 |
Duolingo | Duolingo | 120 | 160 | 1 |
Academic Eligibility:
- Students must complete a bachelor's degree from a recognized institution.
- An undergraduate GPA of 2.8 on a 4.0 scale or higher for this program.
Indian Student Eligibility:
Indian students are eligible to apply if they meet one of the following eligibility criteria:
- Completed a 4-year UG degree in a relevant field from a recognized institution
- Or, completed a master's degree from a recognized institution.
Along with the minimum eligibility requirements, international students hailing from non-English speaking countries need to prove English proficiency through IELTS/TOEFL/any equivalent test to get admission to this program.