Program Overview

With the growth of the digital age, businesses and organizations have access to unprecedented amounts of data. To turn this data into a competitive advantage, enterprises must develop effective methods to analyze and interpret vast amounts of information.

Because of this, data science and analytics continue to play an increasingly integral role in determining an organization’s overall strategic direction-and demand for individuals with the skills to optimize data use is growing globally. Graduates can expect to play a greater role in decision making and strategy development for their current or future organizations, adding significant value. Studies show businesses that understand how to interpret data outperform competitors by 15% to 25%, according to a 2022 report by McKinsey & Company.

New England College’s Master of Science (MS) in Data Science and Analytics provides students with frameworks for critically looking at data, interpreting and visualizing data, and applying that knowledge in real-world applications to shape how 21st century business challenges are addressed.

Why Earn Your Master’s in Data Science and Analytics Degree?

Earning a master’s in data science and analytics degree helps you gain the skills to make the most of the data landscape as it evolves. You can learn to understand how to gather the right data at the right time, determine what it means, and explain it to others. This process can turn raw information into valuable insights and solid strategies that lead to business growth and stability.

MS in Data Analytics Learning Outcomes

Full-time students attend classes on campus. In this program, you will be able to:

• Learn how to effectively leverage data for strategic decision making
• Learn methods to evaluate data—from acquisition, cleansing, warehousing, and final analyses
• Understand ways to leverage internet presence to harvest big data
• Understand methodologies and tools for collecting data and designing databases
• Develop proficiency in interpreting collected data using a variety of statistical tools
• Execute real-time analytical methods on living datasets to quickly respond to customer wants and needs