Overview
Key facts
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.
Programme 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
- 8 months
Start dates & application deadlines
- Starting
- Apply before
-
- Starting
- Apply before , National
- Apply before , International
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- Start date fall : October 29,(online), deadline: 1 oct
- Start date summer online: july 2 , deadline: june 1
Language
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Credits
Delivered
Campus Location
- Boston, United States
Disciplines
Data Analytics View 396 other Masters in Data Analytics in United StatesWhat students do after studying
Academic requirements
English requirements
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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
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 Fees
-
International Applies to you
Applies to youNon-residents66670 USD / year≈ 66670 USD / year - Out-of-State66670 USD / year≈ 66670 USD / year
-
Domestic
Applies to youIn-State66670 USD / year≈ 66670 USD / year
Additional Details
Part time:
- Courses Numbered 100–599: $550 per credit for 1–12 credits
- Courses Numbered 600–999: $975 per credit for 1–11.5 credits
Living costs
Boston
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
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- Free visa & career support through our Path2Success program
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Applied Data Analytics.
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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