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University of Maryland, Master of Science  Data Analytics
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University of Maryland, Master of Science  Data Analytics

Overview
Synopsis

Maryland University Master of Science in Data analysis is tailored to produce prospects who are proficient and can make strategic data-driven recommendations to influence business outcomes by making viable solutions. The curriculum is designed with input from employers, industry experts and scholars, making it wholesome and preeminent.

Category

MS Data Science Schools

Features

• Capstone Course: Data Analytics Practicum
• Core Courses: Decision Management Systems, Data Management and Visualization, Data Mining, Predictive Modeling and Big Data Analytics
• Apply statistical and machine learning techniques for data analysis and interpret and communicate the results
• Transform large data sets into actionable information in an easy-to-understand format
• Apply big data analytics technology to a specific area such as healthcare; marketing; insurance; cyber security;
• Evaluate the appropriate methods and tools for data analysis

Degree Name

Master of Science in Data Analytics

University

University of Maryland, Master of Science  Data Analytics

Duration

Less than 2 years

Cost

$8,000 - $10,000 (42 credits)

What is best?

• Core Courses: Decision Management Systems, Data Management and Visualization, Data Mining, Predictive Modeling and Big Data Analytics
• Apply statistical and machine learning techniques for data analysis and interpret and communicate the results
• Transform large data sets into actionable information in an easy-to-understand format
• Apply big data analytics technology to a specific area such as healthcare; marketing; insurance; cyber security;
• Evaluate the appropriate methods and tools for data analysis

What are the benefits?

• Data analytics projects
• Internships to give real experience
• Program comparison tool available to evaluate specialization
• Learn to transform large data sets into actionable information
• Study theory combined with real-world applications

PAT Rating™ ( Beta)
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Training
8.1
8.1
Academics
8.3
7.5
Faculty
8.1
8.5
Placement
8.3
8.3
Industry Interaction
8.3
Bottom Line

Master of Science in Data Analytics from University of Maryland is an eminent program that aims to provide powerful data analysts with strong career potential. Prospects are taught to device techniques on how to manage and manipulate data, as well as create data visualizations. The program is inclusive but is not limited to application of data mining and predictive modeling.

8.2
Editor Rating
8.1
Aggregated User Rating
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The Master of Science in data analytics at University of Maryland University College combines study in technical and business disciplines to make you a powerful data analyst with strong career potential. You'll learn how to manage and manipulate data, create data visualizations, and make strategic data-driven recommendations to influence business outcomes. Students will be able to build their skills in a career-focused graduate data analytics program that includes the foundations and application of data mining, predictive modeling, and visual analytics using large data sets, and more. The curriculum for the master's degree in data analytics is crafted, reviewed, and updated by a team of advisors and industry experts to ensure that what students learn aligns with the trends and technologies in the workplace today. Through the coursework, students will learn how to evaluate a business problem or opportunity to determine the extent to which data analytics can provide a viable solution and translate the business problem to a data analytics project; manage data analytics projects to ensure delivery of a successful data analytics initiative throughout its life cycle and create a data mining application specific to an individual domain or area (for example, finance; cybersecurity; biological, medical, or scientific applications; or retail).Also, they will be able to apply statistical and machine learning techniques for data analysis and interpret and communicate the results, learn to transform large data sets into actionable information in an easy-to-understand format to support organizational decision making through the use of advanced analytical tools and apply big data analytics technology to a specific area such as healthcare, marketing, insurance, cybersecurity, or biological, medical, and scientific applications.At the end of the program, students will be able to evaluate the appropriate methods and tools for data analysis (including selecting a modeling approach, building a model using appropriate tools, validating the model, and deploying the model for prediction and analysis) in specific organizational contexts.

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