Overview
Why Applied Data Intelligence and Machine Learning at Mercer University?Mercer University is renowned for its commitment to academic excellence and innovation. The Applied Data Intelligence and Machine Learning programme is designed to equip students with the advanced skills necessary for a successful career in data science. The university boasts strong industry connections and a robust alumni network, providing students with opportunities to engage with professionals in the field. Additionally, Mercer’s state-of-the-art facilities ensure that students have access to the latest technologies and resources, enhancing their learning experience.
Tuition Fee BreakdownThe tuition fee for the Applied Data Intelligence and Machine Learning programme is set at USD 703 per credit for both domestic and international students. This fee structure ensures that students receive a high-quality education at a competitive rate. For a detailed breakdown of fees in your local currency, please visit the Fees and Funding section.
SyllabusThe curriculum for the M.S. in Applied Data Intelligence and Machine Learning encompasses a comprehensive range of topics essential for mastering data science. Key components include:
- Programming and Data Structures
- Algorithms and Algorithmic Theory
- Machine Learning Techniques
- Data Modelling and Computational Statistics
- Natural Language Processing (NLP)
- Deep Learning Applications
- Capstone Project
Students will engage in hands-on learning experiences, allowing them to apply theoretical knowledge in practical settings.
Industry DemandThe demand for professionals skilled in data science and machine learning is rapidly increasing. Graduates from the Applied Data Intelligence and Machine Learning programme are well-prepared to enter a job market that anticipates a 36% growth in data science roles over the next decade, significantly outpacing the national average across other sectors.
Careers with Applied Data Intelligence and Machine LearningGraduates of the M.S. in Applied Data Intelligence and Machine Learning can expect to pursue a variety of exciting career paths. Potential job roles include:
- Data Scientist
- Machine Learning Specialist
- Data Analyst
- Artificial Intelligence Developer
- Data Architect
- Quantitative Analyst
Alumni have successfully secured positions in diverse industries such as healthcare, cybersecurity, finance, and telecommunications, reflecting the versatility and relevance of the skills acquired during the programme. The extensive training provided prepares graduates to meet the evolving challenges in data-driven environments.
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
- StartingApply anytime.
- StartingApply anytime.
Language
Credits
Delivered
Campus Location
- Macon, United States
Disciplines
Data Science & Big Data Machine Learning View 192 other Masters in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
English requirements
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
-
International Applies to you
Applies to youNon-residents14620 USD / year≈ 14620 USD / year - Out-of-State14620 USD / year≈ 14620 USD / year
-
Domestic
Applies to youIn-State14620 USD / year≈ 14620 USD / year
Funding
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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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