Overview

The Applied Data Intelligence and Machine Learning programme at Mercer University provides students with the advanced technical expertise required to navigate the evolving landscape of data science. This master's degree integrates computational theory with practical applications to prepare graduates for high-level roles in various global industries.

Delivered through the College of Professional Advancement, the curriculum is specifically structured for flexibility, featuring eight-week terms that support a healthy work-life balance. Students engage with sophisticated topics such as deep learning and natural language processing, ensuring they remain at the forefront of modern technological innovation.

Why Applied Data Intelligence and Machine Learning at Mercer University?

Mercer University offers a distinctive learning environment that emphasises hands-on experience through virtual computing environments and physical computer labs. The programme is led by expert faculty from the Department of Informatics and Mathematics, providing students with direct access to seasoned academic researchers.

A significant advantage of this programme is the opportunity to act as a consultant for the university and external clients. These applied projects allow students to build professional networks within Georgia and beyond while applying theoretical knowledge to real-world organisational challenges.

The institution's commitment to student success is further evidenced by the inclusion of a capstone project, which serves as a bridge between academic study and professional practice. This final element ensures that every graduate possesses a portfolio of work that demonstrates their technical proficiency to potential employers.

Tuition Fee Breakdown

International fee: USD 731 per credit
National fee: USD 731 per credit
Local fee: USD 731 per credit

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum consists of 36 credit hours, beginning with core competencies in data processing and algorithmic theory. Modules may include:

Data Structures and Algorithms
Machine Learning
Data Modelling
Computational Statistics
Natural Language Processing
Deep Learning
Cloud Computing
Data Intelligence
Artificial Intelligence

Careers with Applied Data Intelligence and Machine Learning

Graduates are prepared for diverse career paths across sectors such as cybersecurity, health sciences, supply chain logistics, and telecommunications. The programme equips students with the specific skills needed to meet the rigorous requirements of modern machine learning and data analysis roles.

Common professional destinations for alumni include positions in data modelling, artificial intelligence development, and statistical analysis. The university also provides ongoing support through the Centre for Career and Professional Development to assist students in transitioning into these high-demand industries.

Programme Structure

Courses include:

Data Mining and Knowledge Discovery
Advanced Machine Learning
Deep Learning and Neural Networks
Data Visualization and Analytics
Big Data Technologies and Architectures

Key information

Duration

Full-time
- 18 months
Part-time
- 24 months

Start dates & application deadlines

Starting 2026-08-19 00:00:00

Apply anytime.
Starting 2027-01-06 00:00:00

Apply anytime.

Language

English

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Credits

30 SCH

Delivered

Online

Campus Location

Macon, United States

Disciplines

Data Science & Big Data Machine Learning View 195 other Masters in Data Science & Big Data in United States

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Academic requirements

GPA

English requirements

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Other requirements

General requirements

Hold a Bachelor's degree from an accredited institution in Computer Science, Mathematics, Engineering, or a related field
Have a minimum GPA of 3.0
Submit official transcripts from all colleges and universities attended
Provide a personal statement and letters of recommendation
Have proficiency in at least one programming language (such as Python, Java, or C++)
Have a strong foundation in mathematics, including calculus and linear algebra

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

14620 USD / year

≈ 14620 USD / year
Out-of-State

14620 USD / year

≈ 14620 USD / year
Domestic

Applies to you

In-State

14620 USD / year

≈ 14620 USD / year

Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.

Scholarships Information

Below you will find Master's scholarship opportunities for Applied Data Intelligence and Machine Learning.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

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