Overview
Previous academic studies or industrial experience in such areas as math, statistics, computer programming, engineering, or science are helpful prerequisites for this masters program. This Data Science program at the National University is appropriate for both experienced professionals as well as recent college graduates.
Program Learning Outcomes
- Integrate components of data analytics to produce knowledge-based solutions for real-world challenges using public and private data sources.
- Evaluate data management methods and technologies used to improve integrated use of data.
- Construct data files using advanced statistical and data programming techniques to solve practical problems in data analytics.
- Design an analytic strategy to frame a potential issue and solution relevant to the community and stakeholders.
- Develop team skills to ethically research, develop, and evaluate analytic solutions to improve organizational performance.
- Design data marts.
- Analyze complex database queries for real-world analytical applications.
- Design medium to large data warehouses.
- Evaluate machine learning methods and strategies for advanced data mining.
Programme Structure
Courses include:
- Fundamentals of Analytics
- Analytic Models & Data Systems
- Data Management for Analytics
- Data Mining Techniques
- Advanced Analytic Applications
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
Language
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Credits
Delivered
Disciplines
Information Technology (IT) Data Science & Big Data Machine Learning View 500 other Masters in Data Science & Big Data in United StatesAcademic requirements
English requirements
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Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at National University and/or in United States, please visit Student Insurance Portal.
Other requirements
General requirements
- Applicants must hold a bachelor’s degree or higher from a regionally accredited college or university where an overall grade point average of 2.5 or better was achieved, or where a grade point average of 2.75 or higher was achieved in the last 90 quarter units.
- Students with a grade point average of 2.0 to 2.49 may be admitted to the University if they have a satisfactory score on one of the following tests: GMAT, GRE, Miller Analogies Test, or an approved, standardized program-specific exam. These tests are NOT required for those with a GPA over 2.5.
- Students with an undergraduate grade point average of 2.0 to 2.49 may be accepted to National University on a probationary status (instead of taking the above tests).
- Preliminary documentation of prior education must be presented at required interview with an admissions advisor. Unofficial transcripts are acceptable.
- Proof of Financial Support: $33,500
Tuition Fee
-
International
19890 USD/yearTuition FeeBased on the tuition of 442 USD per credit during 12 months. -
National
19890 USD/yearTuition FeeBased on the tuition of 442 USD per credit during 12 months.
Living costs for San Diego
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
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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