Overview
The Data Science and Engineering programme at The City University of New York is a cutting-edge course that merges computer science and statistical methodologies to analyse both structured and unstructured data. This multidisciplinary field is crucial for making informed predictions and decisions, which are increasingly important in today’s data-driven world. Students will delve into advanced data science techniques, gaining expertise in areas such as computation, analysis, modelling, and visualisation.
Why Data Science and Engineering at The City University of New York?The programme is housed within the esteemed Grove School of Engineering, which is renowned for its robust academic offerings and research initiatives. Students benefit from a strong affiliation with various engineering disciplines and access to state-of-the-art facilities. The university's strategic partnerships with industry leaders enhance learning opportunities, ensuring that students are well-prepared for the demands of the tech sector.
Tuition Fee BreakdownThe tuition fee for the Data Science and Engineering programme is USD 855 per credit for both international and national students. Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum is designed to provide a thorough grounding in data science, including:
- Artificial Intelligence
- Machine Learning
- Software Design Programming
- Data Architecture
Students will also engage in a capstone project or thesis, demonstrating their mastery of the methodologies learned throughout the programme. This hands-on experience is invaluable for applying theoretical knowledge to real-world challenges.
Careers with Data Science and EngineeringGraduates of the Data Science and Engineering programme are well-equipped to pursue varied career paths in the technology sector. Alumni have found success in roles such as data analysts, machine learning engineers, and software developers, working for leading companies in diverse industries. The programme's comprehensive approach ensures that graduates possess both the technical skills and domain knowledge necessary to thrive in their chosen fields.
Programme Structure
Courses include:
- Applied Statistics
- Applied Machine Learning and Data Mining
- Data Engineering: Infrastructure and Applications
- Big Data and Scalable Computation
- Visual Analytics
- Advanced Materials Engineering
Key information
Duration
- Full-time
- 18 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
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Credits
Delivered
Campus Location
- New York City, United States
Disciplines
Statistics Data Science & Big Data Machine Learning View 461 other Masters in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
English requirements
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- Trusted by 300k learners
- 98 accuracy using real exam data
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Other requirements
General requirements
- A Bachelor's degree in Mathematics, Science or Engineering from an accredited institution of higher education
- A minimum 3.0 / "B" grade average
- General requirements include:Two semesters of Calculus (preferably 3, including Vector Calculus)
- Probability and Statistics (preferably 2 semesters)
- Linear Algebra
- Programming course (preferred knowledge of Python)
- Two (2) letters of recommendation, preferably from a faculty member familiar with the applicant's work
- GRE scores are optional
Tuition Fees
-
International Applies to you
Applies to youNon-residents17100 USD / year≈ 17100 USD / year - Out-of-State17100 USD / year≈ 17100 USD / year
-
Domestic
Applies to youIn-State9400 USD / year≈ 9400 USD / year
Additional Details
Resident:
- Full-time - $5,545/semester
- Part-time - $470/credit
Living costs
New York City
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science and Engineering.
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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