8 months
Duration
61050 USD/year
61050 USD/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Master of Science in Applied Data Analytics program at Boston University provides students with solid knowledge of the foundations of data analytics and emphasizes the presentation and discussion of the latest industry tools and approaches within an academically rigorous framework.

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

Credits

32 SCH

Delivered

On Campus, Online

Academic requirements

GRE admission requirements GRE®
Required
GMAT admission requirements GMAT
Required

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

To alway see correct tuition fees
  • International

    61050 USD/year
    Tuition Fee
    Based on the tuition of 61050 USD per year during 8 months.
  • National

    61050 USD/year
    Tuition Fee
    Based on the tuition of 61050 USD per year during 8 months.

Part time:

  • Courses Numbered 100–599: $520 per credit
  • Courses Numbered 600–999: $955 per credit

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.

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.

Our partners

Applied Data Analytics
-
Boston University

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