Master of Liberal Arts in Extension Studies (Data Science) Postgraduate Program By Harvard University |Top Universities

Master of Liberal Arts in Extension Studies (Data Science)

Tuitionfee

35,000 USDTuition Fee/year

Main Subject Area

Library and Information ManagementMain Subject Area

Program overview

Main Subject

Library and Information Management

Degree

MLA

Study Level

Masters

Study Mode

Blended

The data landscape is rapidly changing and transforming nearly every discipline. In the data science degree program, you will develop the skills necessary to analyze, discover, and innovate in a data-rich world. And you’ll gain hands-on experience conducting interdisciplinary data science research. Through the master’s degree program in data science you: Develop an in-depth understanding of data science methods in predictive modeling, data mining, machine learning, artificial intelligence, data visualization, and big data; Build the skills to explore, analyze, manage, and visualize large data sets using the latest technologies; Apply data science and analytical methods to address data-rich problems from a variety of fields, think critically about data, and drive decision making; AND Develop the skills for quantitative thought leadership, including the ethical and legal dimensions of data analytics, as well as effective communication and collaboration.

Program overview

Main Subject

Library and Information Management

Degree

MLA

Study Level

Masters

Study Mode

Blended

The data landscape is rapidly changing and transforming nearly every discipline. In the data science degree program, you will develop the skills necessary to analyze, discover, and innovate in a data-rich world. And you’ll gain hands-on experience conducting interdisciplinary data science research. Through the master’s degree program in data science you: Develop an in-depth understanding of data science methods in predictive modeling, data mining, machine learning, artificial intelligence, data visualization, and big data; Build the skills to explore, analyze, manage, and visualize large data sets using the latest technologies; Apply data science and analytical methods to address data-rich problems from a variety of fields, think critically about data, and drive decision making; AND Develop the skills for quantitative thought leadership, including the ethical and legal dimensions of data analytics, as well as effective communication and collaboration.

Admission Requirements

100+
7+
3+
To pursue a graduate degree at Harvard Extension, you must meet the following criteria: You hold a four-year U.S. bachelor's degree or foreign equivalent OR You do not already have a graduate degree in a similar field.

Jan
Aug

Tuition fees

Domestic Students

35,000 USD
-

International Students

35,000 USD
-

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

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