Overview
The Master of Science in Data Science (MSDS) at Ramapo College of New Jersey is a cutting-edge programme that merges mathematics and computer science, addressing a vast array of fields such as health, business, environmental studies, sociology, and political science. This interdisciplinary approach ensures that graduates are well-prepared to meet the diverse demands of the modern workforce.
Why Data Science at Ramapo College of New Jersey?Ramapo College is renowned for its strong academic reputation and commitment to student success. The Data Science programme is designed to provide students with both theoretical foundations and practical skills, ensuring they are competitive in the job market. The college's partnerships with local industries facilitate valuable fieldwork experiences, allowing students to engage with real-world challenges while earning academic credit.
Tuition Fee BreakdownThe tuition fee for the Data Science programme is set at USD 1,271 per credit for both domestic and international students. This structure is designed to provide a transparent and straightforward financial commitment for prospective students. Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum encompasses a variety of essential subjects, including:
- Introduction to Data Science
- Ethics in Data & Computing
- Python for Data Science
- Advanced Database and Big Data Systems
- Applied Statistics
- Advanced Mathematical Modelling
- Data Science Fieldwork I
This diverse syllabus is designed to equip students with both theoretical knowledge and practical skills necessary for success in the field.
Careers with Data ScienceGraduates of the Data Science programme are well-positioned for employment across various sectors, including healthcare, finance, technology, and marketing. The programme has a proven track record of placing alumni in reputable organisations, where they take on roles such as Data Scientists, Operations Research Analysts, and Computer and Information Research Scientists. The demand for skilled data professionals continues to grow, making this a lucrative career path.
Programme Structure
Courses include:
- Data Mining and Knowledge Discovery
- Statistical Modeling and Analysis
- Machine Learning and Predictive Analytics
- Data Visualization and Communication
- Big Data Analytics
- Advanced Topics in Data Science
- Ethical Considerations in Data Science
- Capstone Project in Data Science
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
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- StartingApplication deadline not specified.
Language
Credits
Delivered
Campus Location
- Ramsey, United States
Disciplines
Data Science & Big Data View 461 other Masters in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Completed application form
- Bachelor's degree in a relevant field from an accredited institution
- Transcripts from all previous academic institutions attended
- Letters of recommendation
- Statement of purpose
- Programming knowledge (e.g., Python, R)
- Relevant coursework or experience in mathematics, statistics, or computer science (preferred)
- TOEFL/IELTS scores for international students (if applicable)
Tuition Fees
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International Applies to you
Applies to youNon-residents20820 USD / year≈ 20820 USD / year - Out-of-State20820 USD / year≈ 20820 USD / year
-
Domestic
Applies to youIn-State20820 USD / year≈ 20820 USD / year
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.
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