| Organization | DataScience@SMU |
|---|---|
| Major | Business |
| Enrollment | Fall / Spring |
| Website | Visit college website |
Want to pursue a top 3 job in the U.S.? Earn an M.S. online and become a data scientist in 20 months with SMU; no GRE required. This program offers two specializations: Business Analytics and Machine Learning. Graduates of the program can go on to become decision-makers in a variety of fields such as engineering, finance, and computer software.
DataScience@SMU is an innovative and comprehensive data science program offered by Singapore Management University (SMU). It is designed to equip students with the skills and knowledge to become successful data scientists in the 21st century. The program provides a comprehensive curriculum that covers the fundamentals of data science, including data analysis, machine learning, and artificial intelligence. It also offers a range of electives that allow students to specialize in specific areas of data science. The program is designed to be flexible and accessible to students from all backgrounds. It is offered in both full-time and part-time formats, allowing students to pursue their studies at their own pace. The program also offers a range of online and on-campus courses, allowing students to learn from the comfort of their own homes. DataScience@SMU is committed to providing students with the best possible education. The program is taught by experienced faculty members who are experts in their fields. The faculty members are dedicated to helping students develop the skills and knowledge they need to become successful data scientists. The program also provides students with access to a range of resources, including a dedicated data science lab, a library of data science books, and a range of online resources. These resources are designed to help students stay up-to-date with the latest developments in data science. DataScience@SMU is an excellent choice for anyone looking to pursue a career in data science. The program provides students with the skills and knowledge they need to become successful data scientists in the 21st century.
