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Course Objectives

  • Develop a solid foundation in Information Systems and its practical applications
  • Acquire Data Mining and Discovery proficiency to extract valuable insights from large datasets.
  • Master Data Analysis and Visualization for effective interpretation and communication of complex data
  • Gain a comprehensive understanding of Machine Learning and its diverse applications.
  • Explore Data Warehousing and Analytics in the Cloud for efficient data management and analysis.
  • Apply knowledge and skills through a hands-on Capstone Project solving real-world challenges.

EXPLORE OUR COURSES

Explore Our Study Abroad Programs

Explore Study Abroad Syllabus to discover diverse educational experiences in Machine Learning concepts and broaden cultural horizons.

Learning Outcomes

  • Enhance information management systems for optimal performance and advancement.
  • Extract insights from large datasets through Data Mining and Discovery.
  • Analyze data and communicate insights through visualizations.
  • Apply machine learning techniques to solve real-world business problems.
  • Gain hands-on experience with Cloud-based Data Analytics.
  • Process Natural Language and build Neural Network models.

About Study Abroad Course Syllabus

The Great Learning study abroad courses are meticulously designed syllabi offering learners an unparalleled opportunity to immerse in a rigorous academic environment while gaining global exposure. These hybrid programs are designed to provide a comprehensive educational experience that teaches foundational knowledge to advanced industry-relevant skills. Learners can explore the core principles of data science, artificial intelligence, and business administration, with each program curated to imbibe expertise and practical application in its respective fields.

 

The study abroad syllabi encompass a range of courses, from fundamental statistics, business finance, and marketing to advanced machine learning, predictive modelling, and strategic management. Each program emphasizes hands-on learning through capstone projects, ensuring that learners understand theoretical concepts and apply them in real-world scenarios. Learners will be equipped to navigate and excel in the fast-evolving global marketplace through AIML, Data Analytics and MBA at Walsh College, MBA at Oklahoma University, or Information Science at the University of Arizona study abroad syllabus.

 

Study Abroad Syllabus Overview

MS Data Analytics at Walsh College

The MS Data Analytics program at Walsh College is an intensive curriculum that encompasses the core principles of data science, starting with foundational knowledge in statistics and programming, and advancing to specialized skills in machine learning, predictive modelling, and data visualization. Key components include:

  • Fundamental courses in Statistics, Business Finance, Marketing, and SQL Programming.
  • Advanced topics in Predictive Modeling, Machine Learning, and Time Series Forecasting.
  • Specialized modules on Optimization Techniques and ChatGPT Applications.
  • Practical experience through a Data Analytics Capstone project.

 

MS Artificial Intelligence and Machine Learning at Walsh College

Walsh College's MS in Artificial Intelligence and Machine Learning curriculum is designed to provide a deep dive into AI and ML, beginning with Python programming and extending to cutting-edge fields like computer vision and natural language processing. Highlights include:

  • Core programming skills with a focus on Python for AI and ML.
  • In-depth study of Supervised, Unsupervised Learning, and Neural Networks.
  • Exploration of Generative AI, Prompt Engineering, and Computer Vision.
  • A comprehensive Capstone or Practicum project for real-world application.

 

MBA at Oklahoma University

The MBA program at Oklahoma City University offers a transformative education that moulds business theory with practical technology. The curriculum is meticulously structured to progress from essential business principles to intricate, hands-on applications, ensuring the holistic development of future business leaders. Key elements include:

  • Core courses in Leadership, Strategy, and Data Analysis.
  • Advanced subjects encompassing Financial Decision Making and Data Analytics.
  • Specialized training in Programming, Data Visualization, and SQL.
  • Experiential learning through individualized leadership assessments and strategic marketing projects.

 

MBA at Walsh College

Walsh College presents a dynamic MBA curriculum that fosters business expertise through a blend of theoretical knowledge and practical application. The program is curated to instil a profound understanding of business operations and strategic decision-making. Essential aspects of the curriculum include:

  • Fundamental courses in Effective Communication, Marketing, and Financial Accounting.
  • Advanced topics in Strategic Management, Operations, and Managerial Economics.
  • Specialized focus on Data Analysis, Business Analytics, and Machine Learning.
  • Integrative experience with an extensive Capstone project and a focus on Organizational Resilience.

 

MS in Information Science at the University of Arizona

The MS in Information Science with a Machine Learning focus at the University of Arizona is an in-depth program designed to equip learners with cutting-edge skills in AI and data science. The curriculum is expertly designed to guide learners from the basics of data management to the complexities of machine learning applications. Distinctive features of the program include:

  • Foundational courses in Information Science, Data Mining, and Ethics in AI.
  • Advanced study in Neural Networks, Natural Language Processing, and Cloud Analytics.
  • Specialized instruction in Data Visualization and Ethical Data Handling.
  • Capstone projects aligned with research priorities, offering real-world AI application experience.

 

Learning Outcomes 

MS Data Analytics at Walsh College

Upon learning from the MS Data Analytics study abroad program syllabus, learners will have acquired a robust foundation in data science principles, with competencies in:

  • Statistical analysis and SQL programming for business insights.
  • Advanced predictive modelling, machine learning, and time series forecasting.
  • Proficiency in optimization techniques and practical applications of ChatGPT.
  • Execution of a comprehensive Data Analytics Capstone project, demonstrating real-world problem-solving and data-driven decision-making skills.

 

MS Artificial Intelligence and Machine Learning at Walsh College

Graduates of the MS in AI and ML will emerge with:

  • Mastery in Python programming for AI and ML applications.
  • Deep understanding of supervised and unsupervised learning, and neural networks.
  • Knowledge of generative AI, prompt engineering, and computer vision.
  • Practical experience from a Capstone or Practicum project, showcasing the ability to apply AI and ML concepts in practical scenarios.

 

MBA at Oklahoma University

MBA graduates will be distinguished by their:

  • Strategic leadership and data analysis capabilities.
  • Advanced knowledge in financial decision-making and data-driven business analytics.
  • Skills in programming, data visualization, and SQL for business applications.
  • Real-world experience from leadership assessments and strategic marketing projects, reflecting a comprehensive business sector.

 

MBA at Walsh College

Learners completing the MBA program will have developed the following:

  • Core competencies in communication, marketing, and financial accounting.
  • Advanced strategic management, operations, and economic analysis skills.
  • Specialized expertise in data analysis, business analytics, and machine learning.
  • Capstone project experience, emphasizing organizational resilience and strategic planning.

 

MS in Information Science at the University of Arizona 

The MS in Information Science with a Machine Learning focus will equip learners with:

  • Fundamental skills in information science, data mining, and AI ethics.
  • Advanced knowledge in neural networks, natural language processing, and cloud analytics.
  • Specialized abilities in data visualization and ethical data handling.
  • Capstone project experience, aligning with research priorities for hands-on AI application.

Frequently asked questions

What is the structure of this Study Abroad program?


The Study Abroad program is structured as a hybrid format spanning 21 months. The program's first year is conducted online, providing flexibility and accessibility, while the second year takes place at the esteemed University of Arizona, offering an immersive on-campus experience. This structured approach combines the advantages of online learning with the valuable in-person educational environment, providing learners with a comprehensive and well-rounded study abroad experience.

What are the prerequisites to studying Machine Learning abroad?

To study Machine Learning and Information Science, prospective learners are required to have a strong foundation in mathematics and programming, including knowledge of calculus and linear algebra, and proficiency in programming languages such as Python or R. Familiarity with statistics, data analysis, and algorithms ensures that learners have the necessary background knowledge to effectively engage with the advanced concepts and techniques taught in Machine Learning and Information Science courses during their study abroad program.

What subjects are taught in this Study Abroad syllabus?

The Study Abroad syllabus encompasses various subjects essential to information science and machine learning. 
 

The syllabus includes topics:
 

  • Foundations of Information: Introduction to key concepts in information science.

  • Data Mining and Discovery: Techniques for extracting insights from large datasets.

  • Data Analysis and Visualization: Analyzing data and presenting insights through visualizations.

  • Introduction to Machine Learning: Basics of machine learning algorithms and applications.

  • Data Warehousing and Analytics in the Cloud: Cloud-based data storage and analysis.

  • Text Retrieval and Web Search: Techniques for searching and retrieving information from text and the web.

  • Neural Networks: Understanding and implementing neural network models.

  • Applied Natural Language Processing: Processing and analyzing natural language data.

  • Artificial Intelligence and Machine Learning: Exploring advanced AI and ML concepts and applications.

  • Capstone Project: Integrating knowledge and skills through a real-world project.

 

These subjects are meticulously designed to equip learners with comprehensive knowledge and practical skills, fostering a deep understanding of key concepts and providing hands-on experience in cutting-edge technologies.

What are the resources available for academic support?


The program provides a range of state-of-the-art facilities, serving as vibrant hubs for technology, arts, sciences, and various disciplines, enabling access to the University of Arizona's library resources. By enrolling in the MS in Information Science: Machine Learning program, learners become part of the esteemed global alumni network of the University of Arizona, gaining access to extensive career resources and alumni support to propel their professional growth and advancement.

What is the duration of the Study Abroad program?


Information Science: Machine Learning is a 21-month hybrid program