Overview
The exponential rise of big data has created a pressing demand for skilled data scientists, and the Master of Science in Data Science at Saint Peter's University is at the forefront of this educational movement. This innovative programme is meticulously crafted to prepare students for leadership roles in a rapidly evolving digital landscape. By integrating scientific methods from statistics, computer science, and business management, the curriculum empowers graduates to extract meaningful insights from data, thereby enhancing decision-making processes across various sectors.
Why Data Science at Saint Peter's University?Saint Peter's University is renowned for its commitment to providing a supportive learning environment. The Master of Science in Data Science programme boasts small class sizes, which facilitate personalised attention and foster collaboration among students. The faculty comprises industry experts who bring real-world experience into the classroom, ensuring that students receive education that is both relevant and applicable. Additionally, the university's strategic partnerships with leading organisations enhance the learning experience, providing students with access to cutting-edge tools and technologies.
Tuition Fee BreakdownThe tuition fee for the Master of Science in Data Science is set at USD 975 per credit for both domestic and international students. For further details on fees and funding options, please visit the Fees and Funding section for a breakdown in your local currency.
Syllabus- Introduction to Data Science
- Statistics for Data Science
- Machine Learning
- Data Mining and Visualisation
- Big Data Technologies
- Natural Language Processing
- AI Fundamentals
- Deep Learning
- Data Management and Governance
- Capstone Project in Data Science
Graduates of the Master of Science in Data Science from Saint Peter's University are well-equipped to enter a variety of high-demand roles in the industry. Alumni have successfully secured positions as data scientists, data analysts, and business intelligence analysts, among others. The programme prepares students for careers across multiple sectors, including technology, finance, healthcare, and government. With the growing need for data-driven decision-making, the career outlook for data science professionals remains robust, with significant job growth projected in the coming years.
Programme Structure
Courses include:
- Data Analysis and Decision Modeling
- Big Data and Data Management
- Python in Data Science
- Data Visualization
- Machine Learning
- Statistical Programming
Key information
Duration
- Full-time
- 18 months
Start dates & application deadlines
- Starting
- Apply before , International
-
- Starting
- Apply before , International
-
- Starting
- Apply before , International
-
- Starting
- Apply before , International
-
- International Applicants Residing in the U.S.
- Fall: August 3
- Winter: October 2
- Spring: February 5
- Summer: April 13
Language
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Credits
Delivered
Campus Location
- Jersey City, United States
Disciplines
Data Science & Big Data View 462 other Masters in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- A completed graduate program application.
- A baccalaureate degree.
- Official undergraduate transcript evidencing an earned Bachelor’s degree.
- A minimum undergraduate cumulative GPA of 3.0 on a 4.0 scale.
- 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.
Tuition Fees
-
International Applies to you
Applies to youNon-residents23880 USD / year≈ 23880 USD / year - Out-of-State23880 USD / year≈ 23880 USD / year
-
Domestic
Applies to youIn-State23880 USD / year≈ 23880 USD / year
Additional Details
$875/credit for the M.S. in Data Science - Online
Living costs
Jersey City
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master'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.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility