Program Requirements

Learning outcomes

Upon successful completion of the program, graduates are equipped to:

• Proficiently use general-purpose programming languages, machine learning software packages, and statistics analytics tools
• Apply skills in computer science, machine learning, statistics, and mathematics to extract actionable knowledge from data with artificial intelligence techniques and data science tools to solve real-world problems
• Communicate effectively the solution that meets employer and user needs
• Articulate the practitioner and users’ responsibility while utilizing data/information and applying the techniques of artificial intelligence and data science in an ethical manner

Program plan

Major Core Requirements (12 hours)
INFD 601 Introduction to Data Science and Analytics
INFD 602 Foundations of Programming
INFD 611 Foundations of Statistics
INFD 622 Applied Data Mining and Machine Learning 

Major Requirements (24 hours)
INFD 605 Advanced Data Structures and Algorithms
INFD 621 Computational Statistics for Data Science
INFD 631 Cloud Computing and Applications
INFD 635 Big Data and Unsupervised Machine Learning
INFD 645 Natural Language Processing in Data Science
INFD 651 Computer Vision for Data Intelligence
INFD 661 Deep Learning for Data Science
INFD 799 Capstone in Data Science

Total Requirements: 36 hours

Learn more about our M.S. in Data Science program

• Course Descriptions
• Admissions
• Tuition and Aid
• Meet the Faculty

Ready to take the next step?

Schedule your personalized admissions counseling appointment, or contact the Office of Graduate Admissions at 678.547.6417 or copa.admissions@mercer.edu for more information.