M.S. in Systems Engineering
The M.S. in Systems Engineering at Drexel University provides students with a strong fo...
M.S. in Machine Learning Engineering
Philadelphia, Pennsylvania
INTAKE: Jan, Mar, Sep & Jun
Program Overview
The M.S. in Machine Learning Engineering at Drexel University offers a comprehensive curriculum that covers the fundamental principles of machine learning, deep learning, and data analytics. Students gain expertise in developing and deploying machine learning models for a wide range of applications, including natural language processing, computer vision, and predictive analytics. The program emphasizes hands-on experience, allowing students to work on real-world projects and develop practical skills in data analysis, model development, and evaluation.
Students have access to cutting-edge tools and technologies, as well as state-of-the-art computing facilities, enabling them to explore complex data sets and apply advanced algorithms. The program also encourages collaboration with faculty members and industry professionals, providing students with valuable networking opportunities and exposure to real-world challenges. The M.S. in Machine Learning Engineering at Drexel University is designated as a STEM program.
Curriculum:
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Introduction to Machine Learning: This foundational course covers the basics of machine learning algorithms, including supervised and unsupervised learning.
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Deep Learning and Neural Networks: Students delve into deep learning techniques and neural networks, essential for complex data analysis and pattern recognition.
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Data Preprocessing and Feature Engineering: This course focuses on data preprocessing techniques, data cleaning, and feature selection to prepare data for machine learning models.
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Big Data Analytics: Students learn about handling and analyzing large-scale data sets using distributed computing frameworks.
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Natural Language Processing: This course explores the processing and analysis of human language data, enabling machines to understand and generate human language.
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Computer Vision: Students study computer vision techniques, enabling machines to interpret and understand visual information from images and videos.
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Reinforcement Learning: This course covers reinforcement learning algorithms, applicable in scenarios where machines learn from feedback and interactions.
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Model Deployment and Productionization: Students learn how to deploy and integrate machine learning models into real-world applications.
Location
Philadelphia, Pennsylvania
Score
IELTS 6.5
Tuition Fee
USD 36894
Drexel University has specific entry requirements for international students applying to its postgraduate programs.
1. Academic Qualifications:
- Applicants should have completed a bachelor's degree or equivalent from a recognized institution with a minimum GPA equivalent to 3.0 on a 4.0 scale. This is typically equivalent to a postgraduate score of 65% and above.
2. English Language Proficiency:
- The minimum English language proficiency requirements for postgraduate applicants are as follows:
- IELTS (International English Language Testing System): Overall score of 6.5 with no individual band score less than 6.
- TOEFL iBT (Test of English as a Foreign Language, Internet-Based Test): Overall score of 90.
- PTE (Pearson Test of English) Academic: Overall score of 61.
- DET (Duolingo English Test): Score of 110.
- IELTS (International English Language Testing System): Overall score of 6.5 with no individual band score less than 6.
- GRE recommended not required.
Drexel University is dedicated to attracting a diverse and talented international student community by offering a range of scholarships and financial aid options. These scholarships aim to recognize academic excellence, leadership potential, and talent in various fields.
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Global Scholars Program: The Global Scholars Program is a prestigious scholarship offered to outstanding international students applying to undergraduate programs at Drexel. The scholarship covers a significant portion of tuition costs and is renewable for up to four years, provided the student maintains a high level of academic performance.
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Liberty Scholars Program: This scholarship is available to undergraduate international students who are transferring from a community college to Drexel. The scholarship provides financial support to eligible students to help them complete their bachelor's degree at Drexel.
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Graduate Scholarships: Drexel University offers a limited number of scholarships to exceptional international students pursuing graduate degrees. These scholarships may vary based on the specific program and department, and they typically cover a portion of the tuition costs.
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Alumni Legacy Scholarship: This scholarship is available to international students who have a family member who graduated from Drexel University. The scholarship aims to recognize the legacy of Drexel alumni and provide financial support to their descendants.
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International Cultural Exchange Scholarship: This scholarship is designed for international students participating in Drexel's study abroad programs. It provides financial assistance to students seeking global experiences and cultural exchange opportunities.
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Drexel Global Scholarships: Drexel University offers various merit-based scholarships to international students based on their academic achievements, extracurricular involvement, and leadership potential.
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Endowed Scholarships: Drexel University has several endowed scholarships established by generous donors to support international students. These scholarships may have specific eligibility criteria based on the donor's preferences.
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External Scholarships: Drexel encourages international students to explore external scholarship opportunities, such as government-sponsored scholarships, private foundations, and international organizations that offer financial aid for studying in the United States.
Application Process: International students applying to Drexel University are automatically considered for certain scholarships based on their academic achievements and application materials. For specific scholarships that require separate applications or additional materials, students are informed during the admission process.
Graduates of the M.S. in Machine Learning Engineering program from Drexel University have exciting career prospects in various industries, including:
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Data Science and Analytics: Graduates can work as data scientists and analysts, extracting insights from data and developing predictive models.
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Artificial Intelligence Engineering: Graduates may pursue careers in AI engineering, working on the development and deployment of AI-driven solutions.
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Machine Learning Research: Graduates can engage in machine learning research, contributing to the advancement of AI technologies.
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Natural Language Processing Specialist: Graduates can specialize in natural language processing, working on language-related AI projects.
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Computer Vision Specialist: Graduates may focus on computer vision applications, such as image recognition and object detection.
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AI Product Development: Graduates can work on developing AI-powered products and services for industries like healthcare, finance, and e-commerce.
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Predictive Analytics: Graduates may find opportunities in predictive analytics, helping businesses make data-driven decisions.
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Machine Learning Consulting: Graduates can work as machine learning consultants, assisting companies in adopting AI technologies.
Drexel University's M.S. in Machine Learning Engineering program offers a comprehensive curriculum that equips students with advanced knowledge and skills in the field of machine learning. The STEM designation adds value to the program, attracting international students and enhancing global career opportunities. With practical experience and exposure to cutting-edge technologies, graduates are well-prepared to excel in data science and AI roles, contributing to the advancement of machine learning and making a significant impact in various industries.
