Applied Data Intelligence and Machine Learning

Solve real-world problems with artificial intelligence techniques and data science tools

Mercer’s Master of Science (M.S.) in Applied Data Intelligence and Machine Learning program curriculum covers programming, data structures and algorithms, machine learning, data modeling, computational statistics, computer science courses, and culminates in a capstone project.

Students will gain valuable knowledge and skills applicable to a range of academic fields and data science jobs, including cybersecurity, economics, energy, health sciences, human resources, social networks, supply chain and logistics, telecommunications, transportation, and more. Choose a concentration from the following areas:

• Artificial Intelligence (AI)
• Data Science
• Designed concentration with advisor approval

Your applied data intelligence and machine learning degree program experience

Curriculum in the M.S. in Applied Data Intelligence and Machine Learning is a fusion of computational science, algorithms and algorithmic theory, machine learning, and artificial intelligence master’s level coursework. Classes are 100% online providing you the flexibility to continue managing personal and professional priorities while earning your graduate degree. Courses are structured in eight-week terms—starting in January and August—and students can comfortably take one three-hour course per term while maintaining a work-life balance.

Choose either a data science or artificial intelligence master’s concentration or design your own concentration with your faculty advisor. Regardless of your applied data intelligence and machine learning degree track, the average program completion time is 18–24 months.

Hands-on applied data intelligence and computer science courses

Mercer’s applied data intelligence and machine learning degree will prepare you for machine learning job requirements through real-world data practice. As a graduate student, you will manipulate data sets that have been compiled from real-life sources.

Courses include hands-on practice in computer labs and virtual computing environments. You may also choose to advance your experience through an internship or participate in an applied project.

In addition, you will have the opportunity to enhance your skills in the Data Science Support Center as a consultant to Mercer and other clients. You will use the lessons from your Mercer data and computer science courses to address these projects, gaining valuable experience before you graduate.

View full program requirements.

Explore applied data intelligence and machine learning courses

Mercer’s applied data intelligence and machine learning degree requires 36 credit hours. The core courses cover the foundations you need to understand data processing, data structures, and data intelligence.

Once you complete your core competencies, you can choose from a variety of applied data intelligence and machine learning courses to advance your education in the data science or artificial intelligence (AI) concentration.

Your applied data intelligence and machine learning degree can open doors to data science jobs

Mercer’s M.S. in Applied Data Intelligence and Machine Learning equips graduates with the knowledge and skills to stand out in a wide variety of data science jobs. After completing your M.S. degree, you may pursue roles such as:

There is high demand for machine learning, data science, and artificial intelligence master’s degree graduates. Opportunities are on the rise, with an anticipated 36% increase in open data science jobs over the next decade—much higher than the national average of 5% across other industries (U.S. Bureau of Labor Statistics).

Learn more about our Applied Data Intelligence and Machine Learning program

• Program Requirements
• 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.