Deakin University - Master of Data Science (Global) Program

Offered byGreat Learning

Master of Data Science (Global) Program
at
Great Learning
Overview

Duration	12 months
Total fee	₹5.50 Lakh
Mode of learning	Online
Official Website	Go to Website
Course Level	PG Degree

Master of Data Science (Global) Program
at
Great Learning
Highlights

Earn degree from Deakin University
Fee payment can be done in instalment
Live virtual classes by deakin faculty
Gain Deakin Alumni Credentials
Hands-on projects

Master of Data Science (Global) Program
at
Great Learning
Course details

More about this course

The Data Science Masters begins with the McCombs School of Business at UT Austin and Great Lakes, initially engaging with the Postgraduate Program in Data Science and Business Analytics (PGP-DSBA) or the Postgraduate Program in Artificial Intelligence and Machine Learning (PGP-AIML)

This sequential learning pathway is meticulously designed to provide a comprehensive, world-class education in data science, leveraging the strengths of renowned institutions to equip learners with an unparalleled depth of knowledge and practical expertise in the Data Science and AIML fields

Master of Data Science (Global) Program
at
Great Learning
Curriculum

Data Science And Business Analytics Pathway

Data Science Foundations

Statistical Methods for Data Science

Business Finance

Marketing and CRM

SQL Programming

Python for Data Science

Data Science Techniques

Inferential Statistics

Predictive Modeling

Machine Learning-1

Machine Learning-2

Time Series Forecasting

Self-paced Module: Optimization Techniques

Domain exposure

Self-paced Module: Demystifying ChatGPT and Applications

Marketing and Retail Analytics

Web & Social Media Analytics

Finance & Risk Analytics

Supply Chain & Logistics Analytics

Visualization and insights

Data Visualization using Tableau

ENGINEERING AI SOLUTIONS

Learning Outcomes Of This Unit

MATHEMATICS FOR ARTIFICIAL INTELLIGENCE

Learning Outcomes Of This Unit

MACHINE LEARNING

Learning Outcomes Of This Unit

MODERN DATA SCIENCE

Learning Outcomes Of This Unit

REAL-WORLD ANALYTICS

Learning Outcomes Of This Unit

DATA WRANGLING

Learning Outcomes Of This Unit

Artificial Intelligence and Machine Learning Pathway

Python Bootcamp for Non-Programmers

Foundations

Python for AI & ML

Applied Statistics

Machine Learning

Supervised Learning

Unsupervised Learning

Ensemble Techniques

Featurization, Model Selection & 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 and Applications

Self-paced Module: ChatGPT: The Development Stack

Additional Modules

EDA

Time Series Forecasting

Pre Work for Deep Learning

Model Deployment

Visualization using Tensor board

GANs (Generative Adversarial Networks)

Reinforcement Learning

Self-paced Module: Recommendation Systems

ENGINEERING AI SOLUTIONS

Learning Outcomes Of This Unit

MATHEMATICS FOR ARTIFICIAL INTELLIGENCE

Learning Outcomes Of This Unit

MACHINE LEARNING

Learning Outcomes Of This Unit

MODERN DATA SCIENCE

Learning Outcomes Of This Unit

REAL-WORLD ANALYTICS

Learning Outcomes Of This Unit

DATA WRANGLING

Learning Outcomes Of This Unit

Master of Data Science (Global) Program
at
Great Learning
Faculty details

Dr. Kumar Muthuraman

Faculty Director, Centre for Research and Analytics UT Austin Texas

Master of Data Science (Global) Program
at
Great Learning
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Master of Data Science (Global) Program
at
Great Learning
Entry Requirements

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N/A
Applicants must hold a bachelor's degree (minimum 3-year program) in a related field or a bachelor's degree in any discipline from a recognized university.

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