To be eligible for admission, applicants must have a bachelor’s degree from an accredited institution. While a background in statistics or mathematics is not required, some familiarity with these subjects is beneficial. Other application requirements may include transcripts, letters of recommendation, and a personal statement.

The program curriculum covers a wide range of topics relevant to data science and analytics, including statistical programming, data visualization, machine learning, data mining, and big data analytics. Students will also have the opportunity to complete a capstone project that applies their knowledge to real-world data analysis challenges.

The program can be completed in as little as one year of full-time study, but the duration may vary depending on the student’s pace and course load. TESU offers flexibility in terms of scheduling, allowing students to progress at their own speed.

Graduates of the program can pursue various career paths in the field of data science and analytics. They may find employment as data scientists, data analysts, business intelligence analysts, machine learning engineers, or research analysts in industries such as finance, healthcare, technology, and consulting. The demand for professionals with data science skills continues to grow, providing numerous job opportunities in diverse sectors.