Overview
Johns Hopkins University Engineering for Professionals online, part-time Data Science graduate programme addresses the huge demand for data scientists qualified to serve as knowledgeable resources in our ever-evolving, data-driven world.
Key facts
- Designed specifically with working professionals in mind, you will engage in a number of modern online courses created to expand your knowledge for advanced career opportunities in data science, including Machine Learning, Data Visualization, Game Theory, and Large-Scale Data Systems. Learn from senior-level engineers and data scientists who will incorporate realistic scenarios in your studies that you have or will encounter as a professional.
Programme Structure
Courses include
- Algorithms for Data Science
- Statistical Methods and Data Analysis
- Data Engineering Principles and Practice
- Data Patterns and Representations
Key information
Start dates & application deadlines
- StartingApply anytime.
- StartingApply anytime.
Applications are accepted year-round, so you can apply any time.
Language
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- 4.9/5 student rating
Credits
Delivered
Campus Location
- Baltimore, United States
Disciplines
Data Science & Big Data View 194 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
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
- Three semesters or five quarters of calculus, which includes multivariate calculus (EN.625.250 – Multivariable Calculus and Complex Analysis or equivalent will be accepted);
- One semester/term of advanced math (Linear Algebra is strongly preferred but Discrete Mathematics or Differential Equations will be accepted);
- One semester/term of Python such as EN.605.206 Intro to Programming Using Python or equivalent (including non-credit coursework such as Coursera or edX, etc), AND EN.605.256 Modern Software Concepts in Python or equivalent.
Tuition Fees
-
International Applies to you
Applies to youNon-residents54550 USD / year≈ 54550 USD / year - Out-of-State54550 USD / year≈ 54550 USD / year
-
Domestic
Applies to youIn-State54550 USD / year≈ 54550 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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