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Overview
Key Features
The Institute works closely with industry thought leaders to bring innovative ideas to market.
The Data Science (Professional Hybrid) program at Saint Peter's University integrates scientific methods from statistics, computer science and data-based business management to extract knowledge from data and drive decision making. Our 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.
In addition to the Masters program, we offer customized certificate and training courses in the field of analytics. One semester preparatory courses are designed for graduate students and tailored for international studies.
Programme Structure
Courses include:
- Data Science
- Data Analysis and Decision Modeling
- Big Data and Data Management
- Python in Data Science
- Data Visualization
- Machine Learning
- Data Law, Ethics & Bus Intel
- Business Analytics
Key information
Duration
- Full-time
- 18 months
Start dates & application deadlines
- Starting
- Apply before , International
- Apply before , National
-
Language
English
IELTS 6.5
TOEFL® IBT 79
Credits
36 SCH
Delivered
Blended
Disciplines
Computer Sciences Data Science & Big Data View 509 other Masters in Data Science & Big Data in United StatesAcademic requirements
GPA 3
English requirements
IELTS 6.5
TOEFL® IBT 79
Other requirements
General requirements
- A completed graduate program application.
- A Bachelor’s degree conferred by a regionally accredited U.S. institution or the foreign equivalent as determined by an evaluation service accepted by Saint Peter’s University. It is recommended that students have a strong background in science, computer science/programming, mathematics, statistics, applied sciences or quantitative business. Applicants are evaluated on an individual basis and may be required to take needed prerequisite coursework.
- Official undergraduate transcript evidencing an earned Bachelor’s degree.
- A recommended minimum undergraduate cumulative GPA of 3.0 on a 4.0, with a recommended grade of a B or better in Calculus or equivalent course.
- One letter of recommendation from a professor or an employer.
- A personal statement describing why the applicant desires this data science degree.
Tuition Fee
To alway see correct tuition fees
-
International
22680 USD/yearTuition FeeBased on the tuition of 945 USD per credit during 18 months. -
National
22680 USD/yearTuition FeeBased on the tuition of 945 USD per credit during 18 months.
Living costs for Jersey City
1300 - 3200 USD /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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