Data Analytics (MS)

This program combines courses in statistics, data mining, and predictive modeling to equip students with the skills needed to interpret complex datasets. Students gain hands-on experience through real-world projects, preparing them to apply their analytical skills in various industries such as finance, healthcare, and marketing.Graduates of this program are trained to uncover insights, develop data-driven strategies, and contribute to organizational success. With a focus on both theoretical knowledge and practical application, the curriculum empowers students to succeed in dynamic environments. Whether you're looking to advance your career or transition to a new field, this program provides the tools and expertise needed to thrive in the evolving world of data analytics.

Graduates of the Data Analytics (MS) program can pursue diverse career opportunities such as data analyst, data scientist, business analyst, and data engineer. The program equips students with the skills needed to interpret complex data, driving strategic decision-making processes in various industries like finance, healthcare, and technology. With the growing demand for data-driven insights, graduates are well-positioned to make a significant impact, ensuring they remain competitive and relevant in today's job market.

According to the U.S. Bureau of Labor Statistics (BLS), the median annual wage for data scientists, a common role for graduates of data analytics master's programs like Southern New Hampshire University's, was $112,590 in May 2024.

Source - https://www.bls.gov/ooh/math/data-scientists.htm

The Data Analytics (MS) program at Southern New Hampshire University typically takes about 15 months to complete for full-time students. Part-time options are available, which may extend the duration based on the student's schedule and course load.

To enroll in the Southern New Hampshire University Data Analytics (MS) degree program, applicants typically need:

• A bachelor's degree from a regionally or nationally accredited institution
• Official transcripts from prior educational institutions
• A minimum GPA requirement
• Letters of recommendation

Additional requirements may include:

• A statement of purpose
• A resume or CV outlining relevant work experience
• GRE or GMAT scores
• Prerequisite coursework in areas such as statistics, computer programming, or mathematics