Overview
Rutgers University presents a comprehensive M.Sc. in Data Science programme, which stands at the forefront of modern data analysis education. This programme is meticulously crafted to address the escalating demand for proficient data scientists, a field that has witnessed significant growth due to the explosion of data generation and the advancement of computational technologies. The curriculum blends theoretical foundations with practical applications, ensuring that graduates are well-prepared to tackle real-world challenges in data science.
Why Data Science at Rutgers University?Rutgers University is renowned for its commitment to academic excellence and innovation. The M.Sc. in Data Science programme benefits from the university's strong reputation, particularly in the fields of statistics and computer science. The collaboration between these two departments enriches the learning experience, providing students with access to a wealth of knowledge and expertise. Additionally, Rutgers boasts state-of-the-art facilities and resources that enhance the educational journey, making it an attractive choice for prospective students.
Tuition Fee BreakdownThe tuition fees for the M.Sc. in Data Science at Rutgers University are as follows:
- International Fee: USD 23,580 per semester
- National Fee: USD 23,580 per semester
- Local Fee: USD 13,872 per semester
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe M.Sc. in Data Science programme encompasses a rigorous syllabus designed to cover critical aspects of data science. Key modules include:
- Statistical Methods for Data Science
- Data Mining and Machine Learning
- Big Data Technologies
- Data Visualisation
- Data Ethics and Privacy
- Capstone Project in Data Science
This structured approach ensures that students gain a holistic understanding of data science principles and practices, preparing them for successful careers in the field.
Careers with Data Science
Graduates of the M.Sc. in Data Science programme from Rutgers University are well-equipped to pursue various career paths in the data science domain. Alumni have found positions in leading companies and organisations across multiple sectors, including technology, finance, healthcare, and consulting. Potential job roles for graduates include Data Scientist, Data Analyst, Machine Learning Engineer, and Business Intelligence Analyst. The programme's strong industry connections and focus on practical skills ensure that graduates are highly sought after by employers.
Programme Structure
Courses include:
- Probability and Statistical Inference for Data Science
- Data Structures and Algorithms
- Statistical Models and Computing
- Time Series, Forecasting and Advanced Analytics
- Mathematical Analysis
- Regression and Time Series Analysis for Data Science
Key information
Duration
- Full-time
- 18 months
Start dates & application deadlines
- StartingApply anytime.
- StartingApply anytime.
Space in the programme is limited and potential applicants are encouraged to apply early.
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
- New Brunswick, United States
Disciplines
Data Science & Big Data View 466 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
- Official transcripts. Unofficial transcripts are accepted at time of application. Official transcripts must be sent if admitted.
- Three letters of recommendation
- Personal statement
- Test scores from general GRE exam or GMAT exam
- TOEFL or IELTS test scores
Tuition Fees
-
International Applies to you
Applies to youNon-residents37176 USD / year≈ 37176 USD / year - Out-of-State37176 USD / year≈ 37176 USD / year
-
Domestic
Applies to youIn-State21648 USD / year≈ 21648 USD / year
Living costs
New Brunswick
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
Interested in financing your studies? Find a student loan that works for you.
Get the funding you need to study in the U.S. or Canada - with a process that's fast, simple, and built for international students.
- Flexible loans from US$2,001 to US$100,000
- Fixed interest rates -- no inflation surprises
- No upfront fees or prepayment penalties
- Accepted at 500+ universities across the U.S. & Canada
- 100% online application -- instant conditional offer
- Free visa & career support through our Path2Success program
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