Program Description

The Master of Science in Data Science and Artificial Intelligence (DS&AI) program prepares students for high-demand industry positions in DS&AI and for doctoral programs that require a solid knowledge base in computer science, statistics, machine learning, and artificial intelligence. The program combines a broad and in-depth core curriculum in theory and applications. Students will receive rigorous and hands-on training through high-quality research activities to gain software system-building experiences in interdisciplinary settings. Through this program students with and without a Computer Science background will advance their careers by acquiring computational, statistical and system-building skills in this increasingly data-driven society.

Admission Requirements

• Hold a baccalaureate degree from a regionally accredited 4-year institution or shall have completed equivalent academic preparation as determined by the appropriate campus authority in a quantitative/computing field, including but not limited to computer science, mathematics, physics, statistics, engineering or relevant fields. Successful applicants are expected to demonstrate knowledge by having satisfactorily completed courses or worked in the information technology industry in the following areas: data structures, programming, analysis of algorithms, database systems, software engineering,  calculus, probability, and/or statistics. However, an applicant who is deficient in these areas may be admitted conditionally on passing a set of undergraduate courses during the first calendar year of study.
• Have a 3.0 GPA or higher in their earned undergraduate degree or have earned a post-baccalaureate degree.
• Submit a general GRE score that has been taken within the last 3 years.

IELTS Requirements

Listening	Reading	Writing	Speaking	Overall
6.5	6.5	6.5	6.5	6.5

Remarks:

• Total 30 Credits program(Yearly tuition fee is given)
• I20(Visa Letter) can be obtained only after submitting a bank statement with a balance of USD $40,160.
• Score reporting required.