M.Sc. in Data Science
- Offered byupGrad
- Private Institute
- Estd. 2015
M.Sc. in Data Science at upGrad Overview
Duration | 18 months |
Start from | Start Now |
Total fee | ₹5.50 Lakh |
Mode of learning | Online |
Schedule type | Self paced |
Official Website | Go to Website |
Course Level | PG Degree |
M.Sc. in Data Science at upGrad Highlights
- Earn a degree from A+ NAAC-accredited university
- 100+ Case Studies & Study Guides for better learning and preparation
- Networking Opportunities across various industries
- Professional resume to effectively highlight professional skills for job applications
M.Sc. in Data Science at upGrad Course details
- For Engineers, Marketing & Sales Professionals, Freshers, Data Professionals, Domain Experts, Software & IT Professionals
Overview of data science concepts, tools, and techniques
Python and R programming for data analysis and manipulation
Statistical methods and their applications in data science
Introduction to Hadoop, Spark, and other big data frameworks
Relational and NoSQL databases, data warehousing
This course in data science arms the students with the in-depth knowledge of machine learning and big data analytics, which play a revolutionary role in the modern world
Thia course is an engaging yet rigorous 18-month online program designed specifically for working professionals to develop practical knowledge and skills, establish a professional network, and accelerate entry into data science careers. The certification is awarded by LJMU
M.Sc. in Data Science at upGrad Curriculum
PRE-PROGRAM PREPARATORY CONTENT
DATA ANALYSIS IN EXCEL
ANALYTICS PROBLEM SOLVING
DATA TOOLKIT
INTRODUCTION TO PYTHON
PROGRAMMING IN PYTHON
PYTHON FOR DATA SCIENCE
MACHINE LEARNING I
LINEAR REGRESSION
LINEAR REGRESSION ASSIGNMENT
LOGISTIC REGRESSION
SPECIALISATION: DEEP LEARNING
MACHINE LEARNING II
BAGGING & RANDOM FOREST
BOOSTING
MODEL SELECTION & GENERAL ML TECHNIQUES
ADVANCED MACHINE LEARNING AND DEEP LEARNING
INTRODUCTION TO NEURAL NETWORKS AND ANN
CONVOLUTIONAL NEURAL NETWORKS
CONVOLUTIONAL NEURAL NETWORKS -INDUSTRY APPLICATIONS
GENERATIVE AI
FUNDAMENTALS OF TRANSFORMERS ARCHITECTURE, GENERATIVE AI, CHATGPT & PROMPT ENGINEERING USING NON REASONING, CHAIN OF THOUGHT & ADVANCED TECHNIQUES
PRODUCT DEVELOPMENT USING OPENAI APIS, FINE TUNING USING STAR TECHNIQUE IN PYTHON
CAPSTONE PROJECT
AN OVERVIEW OF THE DOMAIN AND ASSOCIATED CONCEPTS
PROBLEM STATEMENT
EVALUATION RUBRIC
SPECIALISATION: NATURAL LANGUAGE PROCESSING
MACHINE LEARNING II
BOOSTING
MODEL SELECTION & GENERAL ML TECHNIQUES
PRINCIPAL COMPONENT ANALYSIS
ADVANCED MACHINE LEARNING AND NATURAL LANGUAGE PROCESSING
NEURAL NETS FOR NLP
SYNTACTIC PROCESSING
SYNCTACTIC PROCESSING
CAPSTONE PROJECT
SPECIALISATION: BUSINESS ANALYTICS
BAGGING & RANDOM FOREST
MODEL SELECTION & GENERAL ML TECHNIQUES
TIME SERIES FORECASTING