Overview
Eastern University’s M.Sc. in Data Science (Online) offers a comprehensive curriculum aimed at preparing students for successful careers in the rapidly evolving field of data science. Recognised as the top online programme by Best Value Schools and ranked among Fortune's Top 20, this degree equips learners with the necessary tools to thrive in data-driven environments.
Why Data Science at Eastern University?Eastern University stands out for its exceptional ranking and quality of education in the field of data science. The programme is not only recognised as the #1 online master's in data science but also features partnerships that enhance learning experiences. Students benefit from state-of-the-art facilities and access to expert faculty, ensuring a robust educational journey.
Tuition Fee BreakdownThe tuition fee for the M.Sc. in Data Science is set at USD 300 per credit. As the programme requires a total of 30 credits, the overall cost amounts to USD 9,900 for the entire course. This fee structure allows students to pay on a per-credit basis each semester. Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus- Introduction to Data Science
- Data Analysis and Visualisation
- Machine Learning Fundamentals
- Statistical Methods for Data Science
- Big Data Technologies
- Data Ethics and Privacy
- Capstone Project
Graduates of the M.Sc. in Data Science can pursue various career paths, including roles such as data scientist, data analyst, database administrator, and machine learning engineer. Many alumni have found positions in prestigious companies and industries, leveraging their skills in business intelligence, marketing analysis, and technology sectors. The demand for data professionals continues to grow, making this degree a valuable asset in today’s job market.
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
Start date: Every 7 weeks
Language
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Credits
Delivered
Campus Location
- Philadelphia, United States
Disciplines
Data Science & Big Data View 192 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
- 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 Fees
-
International Applies to you
Applies to youNon-residents9000 USD / full≈ 9000 USD / full - Out-of-State9000 USD / full≈ 9000 USD / full
-
Domestic
Applies to youIn-State9000 USD / full≈ 9000 USD / full
Funding
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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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