Master of Science in Analytics (36 credit hours total)

Degree Overview

The Master of Science in Analytics is a rigorous two-year program designed to provide real-world experience. The hybrid learning model combines online coursework and in-person sessions. The industry-focused curriculum with practical applications offers two specialized tracks.

Business Analytics Track: for working professionals seeking to expand their careers with analytics skills, roles in business strategy, data governance, BI management, and technology consulting.

AI & Advanced Analytics Track: for students with strong technology background pursuing careers as machine learning engineers, data scientists, AI developers, and analytics researchers.

Degree Requirements

Core Courses

MSA 7000FUNDAMENTALS OF DATA ANALYTICS (3)

MSA 7001STATISTICAL METHODS FOR DATA SCIENCE (3)

MSA 7002PROGRAMMING FOR DATA ANALYTICS (PYTHON/R) (3)

MSA 7003ETHICAL, LEGAL, AND SOCIAL IMPLICATIONS OF ANALYTICS (3)

MSA 7004DATABASE SYSTEMS AND SQL (3)

MSA 7005INTRODUCTION TO MACHINE LEARNING (3)

Advanced Analytics and AI Track Courses

MSA 7101INTRODUCTION TO BIG DATA & DATA SCIENCES (3)

MSA 7103ADVANCED MACHINE LEARNING (3)

MSA 7105NATURAL LANGUAGE PROCESSING (NLP) (3)

MSA 7107ADVANCED TOPICS IN AI IMPLEMENTATION (3)

MSA 7111GENERATIVE AI AND REINFORCEMENT LEARNING (3)

CST 7220CYBERSECURITY FOR THE INTERNET OF THINGS, ARTIFICIAL INTELLIGENCE, CRYPTOCURRENCY (3)

Business Analytics Track Courses

CST 7060DATA SCIENCE FOR BUSINESS INTELLIGENCE (3)

MSA 7100DATA WAREHOUSING AND ETL PROCESSES (3)

MSA 7102DATA VISUALIZATION AND COMMUNICATION (3)

MSA 7104DATA GOVERNANCE, ETHICS, AND COMPLIANCE (3)

MSA 7108BUSINESS COMMUNICATION AND CONSULTING SKILLS (3)

MSA 7110ADVANCED STATISTICAL ANALYSIS FOR BUSINESS (3)