Overview
The Data Science programme at the University of North Carolina Wilmington offers a sophisticated curriculum designed to bridge the gap between technical proficiency and business intelligence. This Master of Science degree focuses on the practical application of traditional data analysis alongside modern computational trends.
Students engage in a collaborative academic environment that draws expertise from multiple departments and the wider business community. The curriculum is specifically structured to develop skills in essential programming languages, including Python, SAS, and R, ensuring graduates are versatile in their technical capabilities.
A central feature of the experience is the emphasis on applied learning through rigorous coursework and research.
Why Data Science at University of North Carolina Wilmington?
The University of North Carolina Wilmington is recognised as a top doctoral and research institution, providing a powerful academic setting for graduate study. The programme is distinguished by its strong ties to the business community, facilitating unique opportunities for professional growth.
One of the most distinctive features is the eight-month team-based Practicum, where students work directly with external organisations on genuine data analysis problems. This professional experience is co-managed by faculty and industry sponsors, ensuring students gain significant business acumen before graduation.
The institution maintains partnerships with a variety of prestigious organisations, including IBM, SAS-LightCast, and GE Hitachi. These collaborations provide students with access to diverse projects across sectors such as logistics, finance, and marine science, enhancing the practical value of the degree.
Tuition Fee Breakdown
- International fee: USD 1258 per credit
- National fee: USD 1258 per credit
- Local fee: USD 311 per credit
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum is delivered across three semesters and a summer session. Modules may include:
- Computational Data Science
- Statistics for Data
- Linear Methods for Data Science
- Machine Learning
- Generalized Linear Models
- Spatial-Temporal Analysis
- Practicum in Data Science
- Categorical Data Analysis
- Special Topics
Careers with Data Science
Graduates are prepared for diverse roles within the evolving field of data analytics and machine learning. The programme's focus on technical mastery and business communication makes students highly competitive for positions in global technology firms, non-profit organisations, and research centres.
The extensive Practicum experience allows students to build professional networks with partner companies such as Live Oak Bank, nCino, and MegaCorp Logistics. International students also benefit from the programme's eligibility for three years of Optional Practical Training (OPT) in the United States.
Programme Structure
Courses include:
- Computational Data Science
- Fundamentals of Statistics
- Linear Methods
- Machine Learning
- Categorical Data Analysis
- Spatial-Temporal Analysis
- Practicum/Internship
Key information
Duration
- Full-time
- 18 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
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Credits
Delivered
Campus Location
- Wilmington, United States
Disciplines
Data Science & Big Data View 469 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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- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- One official transcript is required from each U.S. post-secondary institution attended. Refer to the Getting Started page for international transcript instructions.
- 3 recommendations to be submitted through the online application. Recommendations by individuals in relevant professional fields required.
- Baccalaureate degree. Experience working with data is a plus.
- Successful applicants should have completed introduction to statistics, linear algebra and a programming class. Applicants do not have to have completed these courses to be accepted but do need to complete them before classes start. Many students complete them in the summer before they enroll or online.
Tuition Fees
-
International Applies to you
Applies to youNon-residents30192 USD / year≈ 30192 USD / year - Out-of-State30192 USD / year≈ 30192 USD / year
-
Domestic
Applies to youIn-State7464 USD / year≈ 7464 USD / year
Living costs
Wilmington
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
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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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