Students learn methods of data mining, ways to transform large datasets into usable knowledge, and how to represent information visually. The master’s in Applied Data Science provides students with core competencies in the latest methods of data management, analysis, and infrastructure and high-throughput data storage.Our curriculum includes instruction in client–server application development, and ethical and the professional management of informatics projects.
- Computational Methods in Analysis
- Intelligent Systems
- Image Processing and Computer Vision
- Algorithm Design, Analysis, and Implementation
- Fundamentals of Statistics and Econometrics
- Applied Econometrics and Forecasting
Start dates & application deadlines
- Apply before
- Apply before
DisciplinesData Science & Big Data View 194 other Masters in Data Science & Big Data in United States
Admission Requirements:Minimum preferred requirements for admission include a baccalaureate degree from an accredited college or university with a grade point average of B (3.0) or higher and a combined score of 300 or more (verbal and quantitative) on the Graduate Record Examination (GRE) or a total score of 500 on the Graduate Management Admission Test (GMAT).In addition to official GRE, GMAT or LSAT scores, SPEA requires information about your background:
- All transcripts for work that was done outside of the Indiana University system
- Personal statement
- 3 letters of recommendation
International60000 USD/yearTuition FeeBased on the original amount of 60000 USD per year and a duration of .
National60000 USD/yearTuition FeeBased on the original amount of 60000 USD per year and a duration of .
In-State35000 USD/yearTuition FeeBased on the original amount of 35000 USD per year and a duration of .
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.