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:
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 1.5 years. 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:
The data being collected everywhere in our lives has been hailed as the oil of the new century. The need to understand such data has generated a demand for skilled data analysts.The DSA track is designed for individuals with quantitative talent, scientific background, and an entrepreneurial mindset wanting to join the data revolution that is changing all aspects of modern life.
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