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College of Charleston

Jan 30, 2026

2026-2027 Graduate Catalog DRAFT

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2026-2027 Graduate Catalog DRAFT [ARCHIVED CATALOG]

Artificial Intelligence and Data Science, M.S.

Program Planner (opens a new window) | Print-Friendly Page (opens a new window)

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Program Requirements

Credit Hours: 30

Required Courses

CSIS 638 Implementation of Database Management Systems (3)
DATA 510 Data Cleaning, Organization, and Visualization (3)
DATA 531 Database Concepts (3)
DATA 534 Artificial Intelligence and Machine Learning (3)
MATH 550 Linear Models (3)
DATA 507 Scientific Computing in Data Science (3)
OR
MATH 540 Statistical Learning I (3)

Complete one of the following options:

Practicum Option

Complete 6 credit hours of DATA 698 Practicum in Artificial Intelligence and Data Science .

For the practicum option, the student is responsible for proposing a practicum project at an organization conducting artificial intelligence and data science work. His/her practicum must directly relate to data science and artificial intelligence concepts at the graduate level. Students already employed in a data science field must perform additional data science tasks outside of their existing responsibilities. Practicum experiences must be approved by both the program director and the practicum course instructor prior to enrolling in DATA 698 .

Complete 6 credit hours from the following list of courses:

ACCT 507 Accounting Data Analytics (3)
BIOL 513 Marine Conservation Genetics (3)
BIOL 513L Marine Conservation Genetics Laboratory (1)
BIOL 649 Comparative Genomics (4)
CSIS 602 Foundations of Software Engineering (3)
CSIS 604 Distributed Computer Systems Architecture (3)
CSIS 605 Applied Algorithms (3)
CSIS 618 Programming Languages (3)
CSIS 632 Data Communications and Networking (3)
CSIS 654 Software Requirements Analysis and Specifications (3)
CSIS 690 Special Topics in Computing (3)
DATA 507 Scientific Computing in Data Science (3)
DATA 590 Special Topics in Artificial Intelligence and Data Science (3)
DATA 591 Independent Study (3)
EVSS 502 Geospatial Science (4)
EVSS 549 Geographic Information Systems (4)
EVSS 569 Advanced GIS: Environmental and Hazards Models (4)
INFM 530 Business Analytics Fundamentals for Competitive Advantage (3)
INFM 532 Business Analytics Applications for Competitive Advantage (3)
MATH 540 Statistical Learning I (3)
MATH 541 Statistical Learning II (3)
MATH 545 Numerical Analysis I (3)
MATH 551 Linear Programming and Optimization (3)
MATH 552 Operations Research (3)
MATH 555 Bayesian Statistical Methods (3)
MATH 561 Time Series Analysis (3)
MBAD 516 Financial Modeling (3)
MBAD 521 Consumer Marketing Strategy (3)
MBAD 522 Marketing Research and Analysis for Decision Making (3)
PUBA 514 Urban Applications of Geographic Information Systems (4)

Thesis Option

Complete 6 credit hours of DATA 699 Thesis in Artificial Intelligence and Data Science .

The thesis option requires traditional research project characterized by a comprehensive paper on a research topic. A thesis faculty advisor must be identified by the student. The advisor chairs a Master’s Thesis Committee of at least three faculty members. The Committee must approve thesis proposals prior to a student enrolling in DATA 699 . The Committee also ultimately decides if the student has successfully defended his/her thesis which is required to graduate.

Complete 6 credit hours from the following list of courses:

ACCT 507 Accounting Data Analytics (3)
BIOL 513 Marine Conservation Genetics (3)
BIOL 513L Marine Conservation Genetics Laboratory (1)
BIOL 649 Comparative Genomics (4)
CSIS 602 Foundations of Software Engineering (3)
CSIS 604 Distributed Computer Systems Architecture (3)
CSIS 605 Applied Algorithms (3)
CSIS 618 Programming Languages (3)
CSIS 632 Data Communications and Networking (3)
CSIS 654 Software Requirements Analysis and Specifications (3)
CSIS 690 Special Topics in Computing (3)
EVSS 502 Geospatial Science (4)
DATA 507 Scientific Computing in Data Science (3)
DATA 590 Special Topics in Artificial Intelligence and Data Science (3)
DATA 591 Independent Study (3)
EVSS 549 Geographic Information Systems (4)
EVSS 569 Advanced GIS: Environmental and Hazards Models (4)
INFM 530 Business Analytics Fundamentals for Competitive Advantage (3)
INFM 532 Business Analytics Applications for Competitive Advantage (3)
MATH 540 Statistical Learning I (3)
MATH 541 Statistical Learning II (3)
MATH 545 Numerical Analysis I (3)
MATH 551 Linear Programming and Optimization (3)
MATH 552 Operations Research (3)
MATH 555 Bayesian Statistical Methods (3)
MATH 561 Time Series Analysis (3)
MBAD 516 Financial Modeling (3)
MBAD 521 Consumer Marketing Strategy (3)
MBAD 522 Marketing Research and Analysis for Decision Making (3)
PUBA 514 Urban Applications of Geographic Information Systems (4)

Transfer Credit Policy

No program specific guidelines. Please refer to the Graduate School’s transfer credit policy .

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