Data Science and Artificial Intelligence, M.S.D.S.

Degree Offered: Louisville, Los Angeles Education Center, and Available Online

The Master of Science in Data Science and Artificial Intelligence is a STEM program.  The mission of the MSDS-AI program is to prepare students as Christian servant leaders for life-long learning, continued scholarship by linking discovery research to knowledge and practical application in the workplace, to foster active participation in a diverse global society, and prepare students for further study at the doctoral level.

Data Science is an emerging field adopting Artificial Intelligence and Machine Learning into many business applications.

Students in this program will learn how to implement Artificial Intelligence and Machine Learning in organizations to solve practical problems.  They will identify which problems and opportunities are right for AI through Data Science, and how to maximize the likelihood of success.  Specific methodologies are introduced to help the practitioner limit risk and provide tangible value to their organizations through creating production-level AI and DS systems to ensure quality decision-making processes.

Program Format

The MSDSAI program is available in two formats:

• Offered at the Louisville Education Center and Los Angeles Education Center as a hybrid program
• Offered Online

Hybrid LEC courses will be taught in 16 weeks (combining two graduate terms) as the following. The online courses will be offered using the existing eight-week term dates.

Graduate Hybrid Terms for Business
Graduate Terms 1 and 2	Early July to Mid October
Graduate Terms 2 and 3	Late August to Mid December
Graduate Terms 3 and 4	Late October to Mid March
Graduate Terms 4 and 5	Mid January to Mid May
Graduate Terms 5 and 6	Late March to Early July
Graduate Terms 6 and 1	Mid May to Late August

The MSDSAI complete online program courses also will be offered using the existing eight-week term dates. Online courses will be scheduled as follows:

Grad Term 1	late June - Mid August
Grad Term 2	Mid August -Mid October
Grad Term 3	Mid October-Mid December
Grad Term 4	early January-early March
Grad Term 5	early March-late April
Grad Term 6	Early May - Late June

Standards and Evaluation Achievement

Each course in the MSDSAI program has its own method for evaluating student performance. The particular methods of assessment will be explained to students and included in the written syllabus for the course at the beginning of each course. A student must maintain a cumulative grade point average of 3.0 throughout the program. All course grades assigned in the program are entered on the student’s official transcript and counted toward the cumulative grade point average. A student who earns a grade lower than C will be subject to academic dismissal. A student who earns more than two grades of C or lower will be subject to academic dismissal. A student may repeat a course in which a grade of C was earned; however, a course may be repeated only once. In cases where a course was repeated, both grades remain on the transcript, but only the last grade will count toward the grade point average. Student academic transcripts are reviewed at the end of each session. A student who fails to maintain a cumulative grade point average of 3.0 will be placed on academic probation and will have one academic term to remove the probationary status or be dismissed from the program. A student will have six years from the date of entry into the program in which to complete all of the requirements for graduation.

International students are required to be enrolled full-time and register for the appropriate course when applying for Curricular Practical Training (CPT) authorization.