Data science and analytics (DSA) is a fast-growing discipline leading to excellent job opportunities in a variety of fields, including business, industry, health, government, and education. Students who enroll in the Data Science and Analytics master's program will be guided to create their best degree curriculum based on their own career aspirations.
The curriculum includes courses covering big data, statistics, machine learning, database management, data visualization, programming, and business intelligence. All students will have applied and experiential learning opportunities, be involved in research, and be required to complete an internship.
The degree program is interdisciplinary in nature. Students will have the benefit of studying from experts in the respective fields in a coordinated curriculum. The DSA curriculum will be combined with business and communication courses allowing graduates to become leaders in their profession.
There are two masters degree programs available.
These programs have all the same requirements the main differences are:
The DSA-MS program is recognized by Federal guidelines to allow for STEM qualified graduates with F-1 visa status to apply for an additional two year period of Optional Practical Training (OPT) in the United States, upon completion of the standard 12 month permit.
The Multidisciplinary DSA track is NOT recognized by Federal guidelines as a STEM qualified Optional Practical Training (OPT) program, which allows graduates with F-1 visa status to apply for an additional two year period of OPT in the United States, but the DSA- MS program is.
Students in this program can choose from a larger set of electives than in DSA-MS.
Classes are in person and are scheduled in the evening allowing the flexibility to work fulltime while completing the degree.
The master's degree programs require a total of 10 courses. If classes are taken full time (9 credits a semester) this program will take 15 months. Three semesters plus one summer.
A list of all required and elective courses can be found here:
A list of all our courses and their descriptions can be found here:
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