Artificial Intelligence & Data Science Program

About the program

The field of Data Science is constantly growing across the globe and provides opportunities for
high-paying jobs in an industry that is always evolving to meet the needs of the modern world.
The curriculum, designed in collaboration with industry, blends in-class academic learning with
hands-on laboratory. The student acquires knowledge and skills in programming, databases,
data analytics, data visualization, data mining, big data, and project management.

Course details

Study Plan
Course Outline
Learning Outcomes

Students will learn relevant theoretical and practical knowledge to support their career. Courses
will be delivered with components of face-to-face classroom instruction laboratories.
Additionally, emphasis will be given to developing skills in data science and analytics.
Effective technical communication will be emphasized throughout the program. The student
acquires knowledge and skills in data analytics, data visualization, data mining, big data, and
project management.
A total of 120-140 credit hours will be required to graduate. They will have core and elective
courses in Data science. Students can expect to spend an average of 25-28 contact hours per
week in class and labs, with additional time spent studying, completing assignments, and doing
research.

Download Course Outline

Upon successful completion of this program, students should be able to:
1. Apply knowledge of data science and analytics concepts in computational problems.
2. Analyze a complex computing problem and apply principles of computing and other
relevant disciplines to identify solutions.
3. Design, implement, and evaluate a computing-based solution to meet a given set of
computing requirements in the context of Data Science.
4. Communicate effectively in a variety of professional contexts.
5. Recognize professional responsibilities and make informed judgments in computing
practice based on legal and ethical principles.
6. Function effectively as a member or leader of a team engaged in activities appropriate to
Data science.