Overview
The Applied Data Analytics curriculum at Boston University provides a thorough immersion in concepts and techniques for organizing, cleaning, analyzing, and representing/visualizing large amounts of data. Students will be exposed to various database systems, data-mining tools, data visualization tools and packages, Python packages, R packages, and cloud services such as Amazon AWS, Google Cloud, and Mass Open Cloud. The knowledge of analytics tools combined with an understanding of data-mining and machine-learning approaches will enable students to critically analyze real-world problems and understand the possibilities and limitations of analytics applications.
Learning Outcomes
- Knowledge of the foundations of applied probability and statistics and their relevance in day-to-day data analysis.
- Comprehension of computing concepts and applications requirements involving massive computing needs and data storage.
- The ability to apply various data visualization techniques using real-world data sets and analyze graphs and charts.
- Understanding of web analytics and metrics, procuring and processing unstructured text/data, and the ability to investigate hidden patterns.
- Knowledge-discovery skills using data-mining techniques and tools over large amounts of data.
- The ability to implement machine-learning algorithms and their pertinence in real-world applications.
- Comprehensive knowledge of data analytics techniques, skills, and critical thinking, and an understanding of the possibilities and limitations of their applications.
Get more details
Visit official programme websiteProgramme Structure
Courses include:
- Foundations of Analytics
- Data Analysis and Visualization
- Analysis of Algorithms
- Data Science with Python
- Web Analytics and Mining
- Data Mining
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before , National
- Apply before , International
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- Starting
- Apply before , National
- Apply before , International
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- Starting
- Apply before , National
- Apply before , International
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Language
Credits
Delivered
Disciplines
Business Intelligence & Analytics Data Science & Big Data View 221 other Masters in Data Science & Big Data in United StatesAcademic requirements
English requirements
Other requirements
General requirements
National
- A completed Application for Graduate Admission
- Three letters of recommendation
- A personal statement
- A current résumé
- Transcript(s) from each college and graduate school attended
- A nonrefundable application fee of $85
International
- International Student Data Form
- Authorized financial statement from a bank (original, shown in U.S. dollars)
- Copy of current I-20 and I-94, both sides (if applicable)
- Letter of financial support from a sponsor (firm, government, parents, etc.)
- Notarized English translations of all documents not in English
Tuition Fee
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International
56854 USD/yearTuition FeeBased on the original amount of 56854 USD per year and a duration of 12 months. -
National
56854 USD/yearTuition FeeBased on the original amount of 56854 USD per year and a duration of 12 months.
Funding
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.
Due for update
Updated over a year ago
Check the official programme website for potential updates.