Overview
Key Facts and Outcomes
- Self-Paced Learning: Many people interested in Data Science (Online) will learn from online companies and bootcamps because of the flexibility, but do not earn degrees. Our self-paced format within each 7-week period allows students to complete their coursework at a pace that works for you, as you make progress toward a master’s degree.
- Expert Faculty Assistance: Eastern provides you with all of the resources needed to complete your education at your pace. But unlike most online resources, Eastern’s expert faculty will be available to assist with your individual questions and help you along the way.
- Data Science for All: Eastern University's program is a fit for all types of learners. Learn to code from scratch, with any level of experience. If you’ve never coded before, or if you’re an expert, Eastern's self-paced design is perfect for whatever background you have.
- Learn Industry-Standard Tools: Master Python, R, SQL, Tableau, and Qlik, the top coding languages necessary for your ideal data science career.
Programme Structure
Courses include:
- Data Science for Business
- Principles of Python Programming
- Data Manipulation
- Information Visualization
- Applied Machine Learning
Key information
Duration
- Part-time
- 10 months
Start dates & application deadlines
- Delivery: Self-paced within 7-week online courses
- Enrolling New Students: Every 7 Weeks
Language
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Credits
Delivered
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
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Other requirements
General requirements
- fficial transcript(s) from the degree-conferring undergraduate (and graduate if applicable) institution you attended, preferably but not necessarily accredited by an accreditor endorsed by the Council for Higher Education Accreditation (CHEA).
- Current resume
- Minimum GPA of 3.0 preferred with particular importance placed on the last two years of the undergraduate record. Applicants with a GPA below 3.0 will be considered on a case by case basis. Those below 3.0 must submit a GPA letter that explains why the GPA was lower, evidence of likely GPA improvement. A graduate GPA over 3.0 can also satisfy the minimum GPA requirement.
Tuition Fee
-
International
9000 USD/fullTuition FeeBased on the tuition of 300 USD per credit during 10 months. -
National
9000 USD/fullTuition FeeBased on the tuition of 300 USD per credit during 10 months. -
In-State
9000 USD/fullTuition FeeBased on the tuition of 300 USD per credit during 10 months.
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 (Online).
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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