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Doctor Of Business Administration in Artificial Intelligence and Machine Learning
Application closes 9th May 2024
- Program Overview
- Curriculum
- Certificate
- Tools
- Fees
Program Highlights
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Flexible Learning Format - 100% Online
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1:1 Thesis Supervision
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Quick Application with No GRE/GMAT or TOEFL Requirement
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Capstone Projects at the End of Year 1 and Year 2
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8+ Hands-on Projects and 16+ Case Studies
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Designed for Working Professionals
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Learn from Top Faculty and Leading Industry Practitioners
Curriculum
This Artificial Intelligence and Machine Learning syllabus, developed by esteemed experts from Walsh College and Great Lakes, offers a comprehensive insight into AI and Machine Learning. The Machine Learning and Artificial Intelligence Masters in the USA is strategically structured, starting with the basics and advancing to compound, applied methodologies, ensuring learners acquire profound understanding and practical skills in this evolving field.
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Unit 1
Year 1
Foundations
- Introduction to Data Science and AI (Self-paced Module)
- Python for Artificial Intelligence and Machine Learning
- Applied Statistics
Machine Learning
• Supervised Learning
• Unsupervised Learning
• Ensemble Techniques
• Featurization, Model Selection and Tuning
• Introduction to SQL
Artificial Intelligence
• Introduction to Generative AI and Prompt Engineering
• Introduction to Neural Networks and Deep Learning
• Computer Vision
• Natural Language Processing
• Self-paced Module: Demystifying ChatGPT, GenAI and Its Applications
• Self-paced Module: ChatGPT - the Development Stack
Capstone Project
Learners will be work on their capstone projects
Unit 2
Year 2
• Introduction to Data Science
• Data Visualization and Predictive Modeling
• Mathematics of Artificial Intelligence and Machine Learning
• Data Storage Technologies
• Capstone Project
Unit 3
Year 3
Research and Methods Courses
• Research Methods: Introduction And Scope
• Qualitative And Exploratory Research Methods
• Quantitative Research Methods I: Data Management And Non-Experimental
• Quantitative Research Methods II: Experimental And Statistical
Residency Courses
• Doctoral Residency I
• Doctoral Residency II
• Doctoral Residency III
Dissertation Courses
• Dissertation I - Chapter 1
• Dissertation II – Chapter 2
• Dissertation III – Chapter 3
• Dissertation IV- Chapter 4
• Dissertation V – Chapter 5
Degree from Walsh College
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Get a DBA degree from Walsh College and a PG certificate from Great Lakes. Ranked among India's top 10 business schools, Great Lakes is highly regarded for its analytics programs.
* Image for illustration only. Certificate subject to change.
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#1 Ranking
For Best Online DBA Programs in Forbes
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Top-Tier
Global DBA Ranking by CEO Magazine
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Accredited
By The Higher Learning Commission (HLC)
Industry relevant syllabus
Language and tools covered
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Python
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NumPy
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Keras
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TensorFlow
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Seaborn
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Matplotlib
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Statsmodels
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Scikit-Learn
Program Fees
Benefits of learning with us
- Globally recognised flexible learning format (100% Online)
- Get Alumni Status from Walsh College and Great Lakes Executive Learning
- Quick Application with No GRE/GMAT or TOEFL Requirement
- Capstone Projects at the end of Year 1 and Year 2
- Learn from Top Faculty and Leading Industry Practitioners
Application process
Our admissions close once the requisite number of participants enroll for the upcoming batch . Apply early to secure your seats.
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1. Fill the application form
Apply by filling a simple online application form.
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2. Interview Process
Go through a screening call with the Admission Director’s office.
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3. Join program
An offer letter will be rolled out to the select few candidates. Secure your seat by paying the admission fee.
Eligibility
- Applicants must hold a 3 or 4-year bachelor’s degree or equivalent in any discipline with a minimum of 60% marks from a UGC-recognized university or institution. The medium of instruction must be in English.
- No GRE/GMAT or any English proficiency test scores are required.
Note: Candidates should score a minimum of 2.75 GPA in the 1st year to be eligible for 2nd year on campus at Walsh College.
Doctor Of Business Administration in Artificial Intelligence and Machine Learning
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