Campbellsville College

Programme overview

This Master of Science trains students to collect, analyse and interpret complex datasets and to design AI systems that create business value. The curriculum pairs foundational and advanced work in machine learning, deep learning, natural language processing and big data technologies, with hands-on projects and an emphasis on ethical, transparent AI. The programme is offered online and at multiple campus locations, providing flexible study paths.

What you'll study

Core topics named in the programme include machine learning, deep learning, natural language processing, big data technologies and ethical AI. Teaching is delivered through project work, labs and data challenges so students gain practical experience building intelligent algorithms and AI systems.

Entry requirements

• Completed online application
• Official undergraduate transcripts (and graduate transcripts if applicable)
• Minimum undergraduate GPA of 2.5 (2.6 for last 60 hours)
• Updated resume or CV
• Documented work experience in IT, engineering, or computer science OR a bachelor’s or master’s degree in IT, engineering, or computer science

Career prospects

Graduates are prepared for applied roles where data and AI drive decisions and products. Job titles identified by the programme include Data Scientist, AI Engineer, Machine Learning Specialist, Data Analyst, Business Intelligence Developer, Natural Language Processing Engineer, Data Engineer, Research Scientist (AI/Data), Predictive Analytics Consultant and Big Data Architect.

Scholarships & funding angle

Students should explore institutional scholarships, employer tuition support and standard graduate funding routes; the programme page and admissions office are the primary contacts for up-to-date information on financial aid and eligibility.