Below you will find answers to some of the frequently asked questions about this program. For additional information on admission requirements, curriculum, tuition and more, please visit the specific pages on the navigation menu above.
For additional questions and answers, please visit our Frequently Asked Questions page.
The program combines advanced technical training in artificial intelligence and data science with practical, real-world application. Students develop expertise in areas including artificial intelligence, machine learning, data analytics, data engineering, statistical modeling and cloud computing.
The program also emphasizes critical thinking and responsible AI practices, preparing graduates to develop intelligent systems, work with complex data and contribute to data-informed decision-making across industries.
Yes. The program is fully online, allowing students to complete their degree without coming to campus. The online format provides flexibility for working professionals and others looking to advance their skills and careers in AI and data science.
The program is designed to be completed in two academic years, or five semesters including summer sessions.
Yes. Students progress through the program as a cohort, providing opportunities to learn and collaborate with the same group of classmates throughout the program. The cohort is limited to 45 students.
The program is designed for individuals with backgrounds in computer science, computer engineering and other quantitative disciplines who want to develop advanced skills in artificial intelligence and data science.
Students develop knowledge and skills across a range of AI and data science areas, including:
- Artificial intelligence
- Machine learning
- Data analytics
- Data engineering
- Statistical modeling
- Cloud computing
- Programming
- Statistical inference
- Data visualization
- Big data design and management
- Natural language processing
- Predictive modeling
Yes. The program is designed to help students apply AI and data science concepts to complex, real-world challenges. Students learn to develop project plans, select appropriate modeling techniques, generate test designs, understand and analyze data, and apply data science methods, models and algorithms to practical problems.
The coursework includes lectures, class activities, online modules, simulations and a graduate project.
Yes. Responsible AI is an important component of the program. Students learn to develop and deploy AI solutions while considering responsible and ethical AI practices. The program also emphasizes professional responsibilities and informed decision-making based on legal and ethical principles.
Graduates will be prepared for technical and leadership opportunities across industries that increasingly rely on artificial intelligence, data analytics and data-informed decision-making.
Potential roles include:
- AI Engineer
- Data Scientist
- Machine Learning Engineer
- Data Analyst
- Data Engineer
- Business Intelligence Analyst
- Artificial Intelligence Specialist
- Quantitative Analyst
- Big Data Engineer
Students develop the technical and analytical skills needed to work throughout the data science lifecycle. This includes analyzing complex problems, designing and evaluating computing-based solutions, applying data science tools and techniques, communicating effectively in professional settings, and working effectively as a team member or leader.
Students receive one-on-one support from a team dedicated to their academic and professional success. Support includes academic guidance, enrollment assistance, financial aid resources and ongoing program support to help students stay on track throughout the program and progress toward graduation.
For additional questions and answers, please visit our Frequently Asked Questions page.
