Overview
Why Data Science at East Carolina University?East Carolina University (ECU) stands out for its commitment to integrating theoretical knowledge with practical skills in the field of Data Science. The university is recognised for its robust academic environment and innovative teaching methods. With access to state-of-the-art facilities and a dedicated faculty, students are well-prepared to tackle the challenges of big data and analytics in various sectors. The university's partnerships with industry leaders enhance the learning experience, providing students with opportunities to engage in real-world projects and networking.
Tuition Fee BreakdownThe tuition fees for the Data Science programme at ECU are structured as follows:
- Domestic Students: USD 20,807 per year
- International Students: USD 20,807 per year
- Local Students: USD 7,658 per year
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe M.Sc. in Data Science comprises a minimum of 30 semester hours, divided into core and elective components:
- Core Courses (12 s.h.):
- Data Science Methods I
- Data Science Methods II
- Big Data Analytics and Management
- Machine Learning
- Options (18 s.h.): Students can choose one of the following paths:
- Thesis Option: 6 s.h. of Thesis (DASC 7000) and 12 s.h. of electives.
- Project Option: 3 s.h. of Research Project (DASC 6995) and 15 s.h. of electives.
- Coursework Option: 18 s.h. of electives only, culminating in an e-Portfolio assessment.
The programme includes a mandatory research project or thesis, ensuring that students gain practical experience in their field of study. This hands-on approach prepares graduates for successful careers by enabling them to apply their knowledge in real-world settings.
Careers with Data ScienceGraduates of the M.Sc. in Data Science from ECU are well-equipped for various roles in the industry. Alumni have successfully secured positions in sectors such as healthcare, finance, and technology, working with leading companies to implement data-driven solutions. Potential job roles include Data Analyst, Data Scientist, and Machine Learning Engineer, where they leverage their skills to drive innovation and efficiency in their respective fields.
Programme Structure
Courses include:
- Data Science
- Statistical Learning
- Big Data Analytics
- Data Mining and Knowledge Discovery
- Cloud Computing for Data Science
- Machine Learning
- Natural Language Processing
- Deep Learning
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
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Language
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Credits
Delivered
Campus Location
- Greenville, United States
Disciplines
Data Science & Big Data View 461 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
Tuition Fees
-
International Applies to you
Applies to youNon-residents21779 USD / year≈ 21779 USD / year - Out-of-State21779 USD / year≈ 21779 USD / year
-
Domestic
Applies to youIn-State7973 USD / year≈ 7973 USD / year
Living costs
Greenville
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
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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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