Data Science and Analytics, MS (On Campus; Online) Course Map

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This is the recommended sequence of courses for this program. Student who wish to accelerate their program may take up to 2 courses per term after their first term. Please see the Data Science and Analytics, MS (On Campus; Online) Accelerated Course Map for recommended sequencing of an accelerated pathway. Students must fulfill all degree requirements for the program found here: Data Science and Analytics, MS (On Campus; Online)

Term 1: CT 5610

Required first course.

CT 5610 - Database Design Credits: 4

Term 2: Core Requirement

Select 1 course from the following. CT 6530 Python Programming should be completed in Term 2 or Term 3.

AI 5120 - Introduction to Artificial Intelligence Credits: 4
CT 5320 - Data Mining for Data Science and Analytics Credits: 4
CT 6440 - Information Visualization Credits: 4
CT 6530 - Python Programming Credits: 4
CT 6915 - Machine Learning for Data Science and Analytics Credits: 4

Term 3: Core Requirement

Select 1 course from the following. CT 6530 Python Programming should be completed in Term 2 or Term 3.

AI 5120 - Introduction to Artificial Intelligence Credits: 4
CT 5320 - Data Mining for Data Science and Analytics Credits: 4
CT 6440 - Information Visualization Credits: 4
CT 6530 - Python Programming Credits: 4
CT 6915 - Machine Learning for Data Science and Analytics Credits: 4

Term 4: Core Requirement

Select 1 course from the following.

AI 5120 - Introduction to Artificial Intelligence Credits: 4
CT 5320 - Data Mining for Data Science and Analytics Credits: 4
CT 6440 - Information Visualization Credits: 4
CT 6915 - Machine Learning for Data Science and Analytics Credits: 4

Term 5: Core Requirement

Select 1 course from the following.

AI 5120 - Introduction to Artificial Intelligence Credits: 4
CT 5320 - Data Mining for Data Science and Analytics Credits: 4
CT 6440 - Information Visualization Credits: 4
CT 6915 - Machine Learning for Data Science and Analytics Credits: 4

Term 6: Elective

Select 1 course from the following.

AI 5120 - Introduction to Artificial Intelligence Credits: 4
CT 5320 - Data Mining for Data Science and Analytics Credits: 4
CT 6440 - Information Visualization Credits: 4
CT 6915 - Machine Learning for Data Science and Analytics Credits: 4

Term 7: Elective

Select an elective from the available options. Internship is only available after a student has completed 20 credits from within the program (Term 6 through Term 9 in the standard pathway).

Term 8: Elective

Select an elective from the available options. Internship is only available after a student has completed 20 credits from within the program (Term 6 through Term 9 in the standard pathway).

Term 9: Elective

Select an elective from the available options. Internship is only available after a student has completed 20 credits from within the program (Term 6 through Term 9 in the standard pathway).