Master of Science in Data Science
- Private University
College of Arts and Sciences
Talk to ExpertMaster of Science in Data Science at Saint Peter’s University Overview
Our counselors guided 37 students in securing admission to this course. Know moreSaint Peter’s University is among the popular universities to study Master of Science in Data Science from abroad. The duration of Master of Science in Data Science program is 18 months. The first-year Saint Peter’s University tuition fee for Master of Science in Data Science is around USD 23,400. Indian students are required to plan their cost of living (accommodation, groceries, insurance, utilities, etc.) apart from tuition fees to study at the university. The average estimated cost of living is around USD 18,268. Indian students must meet the Saint Peter’s University admission requirements to study the course. Indian students must submit an online application by the course deadline to get into the university.
Duration | 18 months Get Curriculum |
Tuition & Fees | ₹20.76 Lakh Get Fees details |
International Students Admission Website | Go to Website  |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
Master of Science in Data Science at Saint Peter’s University Fees
Saint Peter’s University Master of Science in Data Science fee structure includes first-year tuition fee that all the students have to pay. Apart from the tuition fee, the students also have to spend money on stay, food and other utilities, which comprises cost of living, which is USD 18,268. The total expense may vary, depending on the additional charges provided by the Saint Peter’s University. The total first-year tuition fees of Master of Science in Data Science is USD 23,400.
To know more about Saint Peter’s University Master of Science in Data Science fee breakup, check out the table below:
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 20,76,282 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 16,20,920 |
| Insurance | INR 33,008 |
Calculated at the exchange rate of 1 USD = INR 88.73 | Tuition & expenses were last updated on 12ᵗʰ November 2025Master of Science in Data Science at Saint Peter’s University Curriculum
To know more about the Master of Science in Data Science course at the Saint Peter’s University, the students can check the full curriculum by clicking on the green button below. Some of the important details included in the PDF curriculum is the list of topics that are in the course, elective choices, and most of the relevant course material. The course structure at the university has been broken down based on each semester.
Download exam sample paper
Master of Science in Data Science at Saint Peter’s University Entry Requirements
- No specific cutoff mentioned
- CGPA - 3/4
- Read less
- A UG degree conferred by a regionally accredited US institution or the foreign equal as determined by an evaluation service accepted by Saint Peters University
- It is recommended that students have a strong background in science, computer science/programming, mathematics, statistics, applied sciences or quantitative business
- Students are evaluated on an individual basis and may be required to take prerequisite coursework
- GPA Requirement 3.0
- GRE required if GPA lower than 3.0
Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- N/A
- 3 year degree is accepted but evaluation id required in such cases
Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- Marks - 79/120
NA
-
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- Marks - 53/90
- NA
- Marks - 6.5/9
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- No specific cutoff mentioned
- GRE required if GPA lower than 3.0
- Marks - 120/160
- NA
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- Not mentioned
Master of Science in Data Science at Saint Peter’s University Application Process
- Two letters of recommendation from individuals acquainted with the applicant’s academic and/or professional experience and his/her potential to successfully complete a graduate program
- A personal statement of 500 words describing why the applicant desires this data science degree. The statement should demonstrate:
- Strong writing skills;
- An expressed desire to work in the represented field;
- A strong ability to reason; and
- Commitment to completing the degree.
- Official undergraduate transcript evidencing an earned Bachelor’s degree
- Credential Evaluations may be requested on a case by case basis. Only a NACES member company such as WES, ECE, EP, IEE, or SpanTran may be used
- Academic transcripts with English Translation from all colleges and universities attended
- English language proficiency scores
- Statement of Financial Support
Master of Science in Data Science at Saint Peter’s University Rankings
| Rank | Rank Publisher |
|---|---|
| #601 |
Master of Science in Data Science at Saint Peter’s University Placements
| Particulars | Statistics (2023) |
|---|---|
| Internship Available | Yes, Completion of a graduate internship related to Data Science is required for all students except those who have 3+ years of professional work experience; those with full-time employment during the leng Completion of a graduate internship related to Data Science is required for all students except those who have 3+ years of professional work experience; those with full-time employment during the length of the program; and those who are participating in an exchange program |
Master of Science in Data Science at Saint Peter’s University Highlights
- The Master of Science in Data Science is offered with a concentration in Business Analytics
- Data Science with a focus on Business Analytics is the discipline that integrates scientific methods from statistics, computer science and data-based business management to extract knowledge from data and drive decision making
- The Master in Data Science curriculum provides students with a rigorous course of study in big data technologies, applications and practices a pathway for student internships and full-time employment
- Graduates are prepared to meet the challenges at the intersection between big data, business analytics, and other emerging fields
- Graduates develop an in-depth understanding of the key technologies in data science and business analytics: data mining, machine learning, visualization techniques, predictive modeling, and statistics
- Students will be able to apply quantitative modeling and data analysis techniques to the solution of real-world business problems, communicate findings and effectively present results using data visualization technique
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2641 John F. Kennedy Boulevard, Jersey City, NJ 07306, USA
Jersey City ( New Jersey)