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 2025-07-01 00:00:00
- Apply before 2025-06-01 00:00:00
Starting 2025-09-03 00:00:00
- Apply before 2025-08-01 00:00:00 , National
- Apply before 2025-06-01 00:00:00 , International

More details

Start date fall : October 29,(online), deadline: 1 oct
Start date summer online: july 2 , deadline: june 1

Language

English

IELTS

6.5

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Credits

32 SCH

Delivered

On Campus, Online

Campus Location

Boston, United States

Disciplines

Data Analytics View 305 other Masters in Data Analytics in United States

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Academic requirements

GRE^®

Required

GMAT

Required

English requirements

IELTS

6.5

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TOEFL^® IBT

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Duolingo English Test

120

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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

Student insurance

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Additional medical costs (i.e. dental)
Repatriation, if something happens to you or your family
Liability
Home contents and baggage
Accidents
Legal aid

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Tuition Fee

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International

66670 USD/year

Tuition Fee

Based on the tuition of 66670 USD per year during 8 months.
National

66670 USD/year

Tuition Fee

Based on the tuition of 66670 USD per year during 8 months.
In-State

66670 USD/year

Tuition Fee

Based on the tuition of 66670 USD per year during 8 months.

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 for Boston

1560 - 3239 USD /month

Living costs

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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