Analyse Amazon customer reviews to identify prevalent sentiments and themes to improve product offerings and enhance customer satisfaction or ChatGPT customer feedback to derive actionable insights for business improvement.
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- Master of Science in Data Science
Master of Science in Data Science
Go the extra mile to become a data-driven leader. Learn from a world-class curriculum developed by leading faculty & Industry experts to earn a globally recognized Master of Science in Data Science from Liverpool John Moores University.-
TypeMasters
-
Start DateJune 30, 2025
-
Duration18 Months
About LJMU's Masters In Data Science Program
Course Snapshot
-
2
Variants for Each Project
-
60+
Real-World Case Studies
-
100+
Programming & GenAI Tools
- Dual-accredited Masters in Data Science from LJMU (UK) and IIIT Bangalore (India)
- Study a globally recognized degree at 1/10th the cost of on-campus programs
- Fortnightly mentorship sessions with industry experts for enhanced learning
- Personalized 1:1 coaching to maximize your potential
- Daily doubt resolution support to keep you on track

What is this course about?
Key Highlights
- Complimentary Python Programming Bootcamp
- Weekly Live Sessions with Industry Experts & Faculty
- Fortnightly Group Mentorship with Industry Mentors
- Global Networking Opportunities
- Optional On-campus Immersion
- Career Essential Soft Skills
- High Performance Coaching (1:1)
Target Audience
- Individuals with technical backgrounds.
- Software Engineers, System Analysts, Database Administrators seeking advanced analytics.
- Data Analysts, Data Scientists, ML Engineers who aspire to grow in their respective professions.
- Sales Professionals, IT Engineers, Product Managers, and other non-technical individuals aspiring to make a career in data science or grow in the same field.
Student Support
- A dedicated program coordinator
- 24/7 support to answer all your queries! intstudentsupport@upgrad.com
- Centralised WhatsApp channels for queries
Why Choose an online Masters in Data Science Course?
Here’s what you’ll learn:
Data Processing: You'll learn data handling and preprocessing techniques essential for transforming raw data into usable insights, which will enable insightful analysis for key business decisions.
Machine Learning: You'll build predictive models and algorithms that allow machines to learn from data, solve complex business challenges, and automate tasks.
Big Data: You'll learn to manage, analyze, and draw insights from massive data sets, preparing you for roles in big data analytics and data engineering.
Visualization: You’ll learn how to create clear and impactful data visualizations, turning complex information into easily understandable insights. These skills will enable you to support strategic decision-making with well-communicated, data-driven narratives.
What tools will you learn?
Develop practical expertise in essential programming languages and tools used in data science courses:
Advanced Excel: Explore advanced functions and tools for data analysis, modeling, and reporting.
SQL: Learn to manage and query large datasets efficiently, forming the foundation of database work.
Python: Gain hands-on experience with Python for data cleaning, analysis, and machine learning.
Tableau: Create insightful visualizations and dashboards to interpret complex datasets.
Power BI: Build interactive reports and integrate data for in-depth business insights.
Hadoop: Understand large-scale data storage and processing using distributed systems.
Optional modules provide opportunities to expand your knowledge in specialized areas.
Programming Languages and Tools Covered
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Explore Our Learning Platform
Learn on an AI-powered & personalised platform with best-in-class
content, live sessions & mentoring from leading industry experts.

Learn with a world-class masters in data science syllabus
Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions
Course 1: Advanced Math & Programming
5 Weeks
Topics Covered
- Conditional Probability and Probability Distributions
- Advanced Linear Algebra and Linear Transformations
- Multivariate Calculus
- GenAI for Coding and Problem-Solving
- Object-Oriented Programming
- Python Data Science Libraries
- Database Design and SQL Querying
- Introduction to NoSQL Databases
- Version Control

Course 2: Data Analysis & Exploration
5 Weeks
TopicsCovered
- Data Analysis with Python
- Exploratory Data Analysis
- Inferential Statistics and Hypothesis Testing

Course 3: Cloud Computing & Big Data
5 Weeks
Topics Covered
- Cloud Computing with AWS / GCP / Microsoft Azure
- Big Data Analysis with PySpark

Course 4: Foundations of ML
5 Weeks
Topics Covered
- Machine Learning Paradigms
- Linear and Logistic Regression
- K Nearest Neighbors
- Regularisation and Hyperparameter Tuning
- Decision Trees and Ensembles
- Clustering Models

Course 5: Deep Learning & NLP
5 Weeks
Topics Covered
- Deep Learning Fundamentals
- Convolutional and Recurrent Neural Networks
- Lexical / Syntactic / Semantic Processing

Specialisation: Data Analysis
16 Weeks
Topics Covered
- Support Vector Machines
- Naive Bayes
- Feature Engineering and Model Selection
- Dimensionality Reduction
- Time Series Analysis
- Association Rule Mining
- Recommendation Systems
- Explainable AI
- Advanced Excel and Power BI with Copilot
- Advanced Tableau
- Data Storytelling Principles
- Machine Learning with PySpark
- Fundamentals of GenAI and Prompt Engineering
- Google Looker Studio
- Advanced Prompt Engineering
- Large Language Model (LLM) Frameworks such as LangChain
- GenAI ChatBot System Design and Development
- Data Security and Governance
- AI Ethics and LLM Security
- Requirements Gathering and Guesstimates
- Business Problem Solving and Project Management
- Data Science Applications in Finance and Ecommerce

Specialisation: Data Engineering
16 Weeks
Topics Covered
- Distributed Data Processing with Hadoop Framework
- Data Ingestion with Sqoop/Flume and HBase Data Querying with Hive
- Cloud Native SQL Databases such as Amazon Aurora, Google Spanner, and Azure SQL
- Cloud Native NoSQL Databases such as Amazon DynamoDB, Google BigTable, and Azure Cosmos DB
- Linux and Java Programming
- Data warehousing and Cloud Data Warehousing
- Cloud Data Warehouses such as Amazon Redshift, Google BigQuery, and Azure Synapse Analytics
- Understanding ETL and ELT Pipelines
- Advanced Data Modeling Concepts and Techniques
- End-to-End Data Pipelining Fundamentals
- Pipeline Automation with AWS Lambda, GCP Functions, and Azure Automation
- Data Monitoring with Amazon CloudWatch, Google Cloud Monitoring, and Azure Monitor
- Feature Stores and Vector Databases
- Real-Time Processing with Flink and Kafka
- Real-Time Analytics with Spark Streaming
- Real-Time Analytics with Amazon Kinesis, Google Cloud Pub/Sub and DataFlow, Azure Stream Analytics and Event Hub
- Multicloud and Hybrid Cloud Operating Principles
- Scala
- Data Build Tool (DBT)
- Azure Data Factory
- Modern NoSQL Databases
- Infrastructure as Code (IaC) with Terraform
- Data Architecting Principles
- Data Security and Governance
- Decentralized Governance and Data Mesh

Research Methodologies
Topics Covered
- Introduction to Research and Research Process
- Research Design
- Literature Reviewing
- Research Project Management
- Report Writing and Presentation Skills
- Scientific Ethics

Master's Dissertation
Topics Covered
- Investigate a diagnosis of eye diseases using imaging ophthalmic data
- Structure medical images with information geometry
- Using Social media feed to place tweets regarding natural disasters on a map
- Preventing credit card fraud through pattern recognition
- Developing a recommender system for a Media giant
- Risk modelling for Financial activities and Investment Banking

Programming Fundamentals
Build strong essentials with our complimentary fundamentals bootcamp (can be skipped by passing a short test)
Basic Maths for DS & ML
4 Weeks
Topics (9)
- Sets
- Combinatorics
- Basics of Probability
- Conditional Probability
- Descriptive Statistics
- Functions
- Vector Algebra
- Derivatives
- Integrals

Basic Programming for DS/ML
8 Weeks
Topics (14)
- Coding Environments
- Variables
- Time Series Forecasting - I
- Data Types
- Syntax
- Conditionals
- Loops
- Functions
- Lists
- Sets
- Tuples
- Dictionaries
- Introduction to MySQL
- Basic SQL Querying

Learn by Doing
Choose between two options for assignments and create a capstone project in your preferred domain.
-
30+ Industry projects to choose from
Advanced GenAI for Analytics
Analyse Amazon customer reviews to identify prevalent sentiments and themes to improve product offerings and enhance customer satisfaction or ChatGPT customer feedback to derive actionable insights for business improvement.
Skills learned
- OpenAI
- Advanced Prompt Engineering

Exploratory Data Analysis
Analyse NYC taxi operations for efficient taxi positioning or US beer production data for better brewery operation management.
Analyse NYC taxi operations for efficient taxi positioning or US beer production data for better brewery operation management.
Skills learned
- MySQL
- MySQL Queries
- Data Manipulation
- Data Analysis

Advanced Data Analytics
Blinkit customer transactions and purchases data to improve product recommendations and enhance shopping experience.
Blinkit customer transactions and purchases data to improve product recommendations and enhance shopping experience.
Skills learned
- Linear Regression
- ML Modelling
- Model Evaluation

Essentials of Business Analytics
Analyse HDFC Bank’s annual reports and create a BCG matrix to provide strategic business recommendations.
Analyse HDFC Bank’s annual reports and create a BCG matrix to provide strategic business recommendations.
Skills learned
- Business Problem Solving
- Data Storytelling

Linear Regression
Predict parcel delivery time for Porter using historical delivery data for better planning and management.
Predict parcel delivery time for Porter using historical delivery data for better planning and management.
Skills learned
- Model Selection
- Feature Engineering
- ML Modelling
- Model Evaluation

Querying with SQL
Analyse Spotify music data for targeted recommendations.
Analyse Spotify music data for targeted recommendations.
Skills learned
- SQL Querying
- MySQL

Advanced Data Analytics
Analyse Namma Yatri travels data to understand customer behaviour and route utilisation for optimisation.
Analyse Namma Yatri travels data to understand customer behaviour and route utilisation for optimisation.
Skills learned
- Power BI
- Tableau
- Data Analysis
- Data Visualisation

Data Pipelining and Warehousing
Develop an ETL pipeline to aggregate and standardise banking data to enhance financial decision making using Wikipedia and currency exchange rates data.
Develop an ETL pipeline to aggregate and standardise banking data to enhance financial decision making using Wikipedia and currency exchange rates data.
Skills learned
- Data Pipelining
- Data Warehousing
- ETL

Essentials of Business Analytics
Analyse Snapdeal app feedback data to create a business requirement document for improving app functionality.
Analyse Snapdeal app feedback data to create a business requirement document for improving app functionality.
Skills learned
- Data Storytelling
- Business Problem Solving

Big Data Analysis
Analyse Mercari products data for better targeted recommendations or customer interaction data to enhance customer engagement.
Analyse Mercari products data for better targeted recommendations or customer interaction data to enhance customer engagement.
Skills learned
- Big Data Analysis
- PySpark

Industry Projects - Case Studies
Dive into 60+ real-world case studies guided by seasoned industry experts to bridge theory and practice. Here’s a glimpse of some of the projects you’ll work on:
Credit EDA Assignment: Businesses run on credit and risk analysis is critical for success in the finance domain. Navigate complex credit datasets, resolve missing values, analyze critical metrics like credit scores and repayment trends, and craft impactful visualizations to uncover actionable insights.
RSVP Movies Case Study: Leverage SQL to optimize data queries, perform in-depth aggregation, and decode audience preferences, revealing patterns in movie trends and performance.
Bike Sharing Assignment: Advise bike-sharing companies on how to optimize their operations and scale up their business. Decode patterns in bike-sharing data, and preprocess datasets, build a linear regression model, and pinpoint the predictors driving rental trends.
Lead Scoring Case Study: One of the most common use cases in the business world. Identifying customers who have a higher probability of purchasing. Harness logistic regression to analyze lead datasets, fine-tune model accuracy and identify influential factors behind successful lead conversions.
Syntactic Processing Assignment: World will be beautiful without restrictions of knowing each other’s languages. Explore NLP techniques to preprocess text, conduct syntactic analysis, extract features, and interpret complex linguistic structures for downstream tasks.
and many more that give you hands-on experience.
Earn valuable credentials & recognition
Dual Certification for Global Excellence

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Master's Degree in Data Science
Earn alumni status from the Liverpool John Moores University.
Earn alumni status from the Liverpool John Moores University.
We will be there right through your learning journey this course about?
- Videos from top faculty and world-class industry experts
- Built-in practice and coding console
- Industry-oriented projects for real DS & ML exposure
- Live interventions from faculty and industry experts
- Real time doubt clearing sessions

- Telegram channel for learner communication
- Query assistance when you’re stuck anywhere
- Learning experience and completion support
- Discussion forum to resolve doubts and learn from peers

- Online discussion forum to get doubts clarified
- Network and collaborate with 12,000+ alumni




Why MS in Data Science from LJMU & IIITB?
Liverpool John Moores University (LJMU) and the International Institute of Information Technology Bangalore (IIITB) are two renowned institutions that offer unparalleled advantages to students, combining global recognition, academic excellence, and a strong focus on employability.
Here’s why these institutions stand out:
Global Recognition and Academic Excellence
Liverpool John Moores University (LJMU)
- Prestigious Rankings: Recognized by QS World University Rankings, THE (Times Higher Education), and US News for its academic rigor, innovative teaching, and global outlook.
- UK-Based Education System: Offers a globally respected curriculum that balances academic theory with practical skills, ensuring graduates are industry-ready.
- Research Excellence: LJMU emphasizes research-driven learning, equipping students with critical thinking and problem-solving skills to excel globally.
International Institute of Information Technology Bangalore (IIITB)
- Top-Tier Institution: Ranked 74th in the Engineering category of the NIRF (2024), IIITB is a premier institute, known for excellence in computer science and data science education.
- Cutting-Edge Programs: Offers innovative, research-focused programs that stay ahead of technological advancements.
- National Recognition: A leader in AI, machine learning, and analytics education, setting benchmarks for innovation and academic quality.
Affordable and Accessible Education
LJMU
- Value for Money: With tuition fees nearly 1/10th of what most on-campus master in data science programs charge, this program offers an unparalleled return on investment.
- Global Opportunities: Provides students with exposure to a multicultural learning environment and international career pathways.
IIITB
- Affordable Excellence: Delivers high-quality education at a fraction of the cost of global alternatives.
- Flexible Learning: Tailored programs for working professionals allow for seamless balance between work and study.
Research and Innovation
LJMU
- Focuses on research-driven learning to cultivate innovation and critical thinking.
- Encourages students to tackle real-world problems, fostering a mindset of creativity and adaptability.
IIITB
- Renowned for leadership in AI, emerging technologies, and advanced research.
- Regularly updates curricula to integrate the latest advancements in technology, ensuring students are future-ready.
Master Degree in Data Science Instructors
Whom will you learn from?
-
5 Instructors
-
6 Industry Experts

%20Liverpool%20Business%20School%20-%20LBS/dhiya-al-jumeily.jpeg?width=96&height=96&name=dhiya-al-jumeily.jpeg)
Prof. Dhiya Al-Jumeily

Professor - Artificial Intelligence
-
A senior member of the IEEE and a chartered IT Professional, he is a fellow of the UK Higher Education Academy
A senior member of the IEEE and a chartered IT Professional, he is a fellow of the UK Higher Education Academy
Read More



Chandrashekar Ramanathan

Dean Academics
-
Prof. Chandrashekar has a Ph.D. from Mississippi State University and experience of over 10 years in several multinational organizations.
Prof. Chandrashekar has a Ph.D. from Mississippi State University and experience of over 10 years in several multinational organizations.
Read More



Tricha Anjali

Ex-associate Dean
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Prof. Anjali has a Ph.D. from Georgia Institute of Technology as well as an integrated M.Tech. (EE) from IIT Bombay.
Prof. Anjali has a Ph.D. from Georgia Institute of Technology as well as an integrated M.Tech. (EE) from IIT Bombay.
Read More



Dr. Debabrata Das

Director, IIITB
-
Dr. Debabrata Das is the Director of IIITB. He has received his Ph.D. from IIT-KGP. His main areas of research are IoT and Wireless Access Network.
Dr. Debabrata Das is the Director of IIITB. He has received his Ph.D. from IIT-KGP. His main areas of research are IoT and Wireless Access Network.
Read More



Prof. G. Srinivasaraghavan

Professor
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Prof. Srinivasaraghavan has a Ph.D. in Computer Science from IIT Kanpur, and 18 years of experience with Infosys and several other MNC's.
Prof. Srinivasaraghavan has a Ph.D. in Computer Science from IIT Kanpur, and 18 years of experience with Infosys and several other MNC's.
Read More



Abhishek Vijayvargia

Senior Data Scientist
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Having worked with Microsoft as a Senior Data Scientist, he is an alumnus of IIT Kharagpur with 10+ years of experience in a Data Science domain
Having worked with Microsoft as a Senior Data Scientist, he is an alumnus of IIT Kharagpur with 10+ years of experience in a Data Science domain
Read More



S. Anand

CEO
-
An alumnus of IIT Madras, IIM Bangalore, and LBS London, Anand is among the top 10 data scientists in India with 20 years of experience.
An alumnus of IIT Madras, IIM Bangalore, and LBS London, Anand is among the top 10 data scientists in India with 20 years of experience.
Read More



Manish Shukla
Head of Generative AI
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Leading cutting-edge GenAI platform development at NatWest Group. Expertise in OpenAI products and MLOps for optimisation of operational efficiency and seamless project delivery with high user satisfaction.
Leading cutting-edge GenAI platform development at NatWest Group. Expertise in OpenAI products and MLOps for optimisation of operational efficiency and seamless project delivery with high user satisfaction.
Read More



Deependra Singh
VP & Head of Data Science
-
Over 15 years of experience in leading analytics practices, data science, deep learning, and AI product development. Successfully led teams at Junglee Games, American Express Digital Business, and National Insurance Company, pioneering key projects like the analytics engine for the GOI PMJAY policy. Respected speaker at top educational institutes like IMT Hyderabad, BIT Mesra, and NMIMS.
Over 15 years of experience in leading analytics practices, data science, deep learning, and AI product development. Successfully led teams at Junglee Games, American Express Digital Business, and National Insurance Company, pioneering key projects like the analytics engine for the GOI PMJAY policy. Respected speaker at top educational institutes like IMT Hyderabad, BIT Mesra, and NMIMS.
Read More



Sajan Kedia

Ex-Data Science Lead
-
Sajan graduated from IIT, BHU and has tons of experience in Data Science, Big Data, Spark, Machine Learning and Natural Language Processing.
Sajan graduated from IIT, BHU and has tons of experience in Data Science, Big Data, Spark, Machine Learning and Natural Language Processing.
Read More



Mirza Rahim Baig

Lead Analyst
-
Advanced analytics professional with 8+ years of experience as a consultant in the e-commerce and healthcare domains.
Advanced analytics professional with 8+ years of experience as a consultant in the e-commerce and healthcare domains.
Read More

Data Sceince Program Class Profile
Master of Science in Data Science
Our courses in data science caters to professionals from diverse backgrounds, creating a vibrant classroom with enriching discussions.
By Industry
By Work Experience
By Highest Qualification
By Degree Type
By Age
By Gender
upGrad Alumni Work At
%20Liverpool%20Business%20School%20-%20LBS/Amazon__1590674899464.jpeg?width=241&height=80&name=Amazon__1590674899464.jpeg)





Data Science Course Learner Services
Practical Learning & Networking
Here's how upGrad will support you.
-
Networking & Learning Experience
-
Industry Expert Guidance
-
Student Support

Program Fees: USD 6,500
*(Optional) 1-week LJMU campus visit at an additional USD 2000 or equivalent local currency.
How To Apply
A quick and easy online data science course registration process

Bachelor’s degree with 50% mandatory.

Submit Your Application
Fill out an application giving your basic profile details
Fill out an application giving your basic profile details
Read More
Reserve your Seat
Receive an offer letter and pay the caution amount to reserve a seat
Receive an offer letter and pay the caution amount to reserve a seat
Read More

Get Shortlisted
Rest balance to be closed within 7 days or batch start date whichever is sooner
Rest balance to be closed within 7 days or batch start date whichever is sooner
Read More
Refer someone you know and receive cash reimbursements of up to
!*

Data Science Program Success Stories
What Our Learners Say


Importance of upskilling to stay competitive in my industry
Importance of upskilling to stay competitive in my industry
The most noteworthy feature of upGrad is its incredible staff. The program coordinators go above and beyond to support working professionals. They understand the unique challenges we face while balancing work and education. They were always available to help whenever I needed guidance and felt overwhelmed. Their dedication was absolutely crucial to my success, and I am deeply grateful for their tireless commitment to making this a positive and achievable learning experience.
The most noteworthy feature of upGrad is its incredible staff. The program coordinators go above and beyond to support working professionals. They understand the unique challenges we face while balancing work and education. They were always available to help whenever I needed guidance and felt overwhelmed. Their dedication was absolutely crucial to my success, and I am deeply grateful for their tireless commitment to making this a positive and achievable learning experience.
Read More
Kunalsinh Chauhan
Project Manager at Sensia Global- Schlumberger & Rockwell Automation JV
14 Years of Experience


To focus on personal and professional development, including opportunities for networking, leadership development, and career advancement
To focus on personal and professional development, including opportunities for networking, leadership development, and career advancement
I've been able to leverage my newfound expertise to contribute to key projects, lead teams, and drive positive outcomes in my role. During the journey of this MBA, I was promoted to my current new position. Further, I've had the opportunity to connect with like-minded professionals and industry experts. The knowledge, skills, and experiences gained through the program have not only accelerated my professional growth but have also enriched my life in profound ways
I've been able to leverage my newfound expertise to contribute to key projects, lead teams, and drive positive outcomes in my role. During the journey of this MBA, I was promoted to my current new position. Further, I've had the opportunity to connect with like-minded professionals and industry experts. The knowledge, skills, and experiences gained through the program have not only accelerated my professional growth but have also enriched my life in profound ways
Read More
Hussain Abbas Ali
Senior Strategy Manager at Concept Combined Group
11 Years of Experience


Aspiration of learning business from its deep root
Aspiration of learning business from its deep root
It was a amazing experience. The course structure, SME guidance and explanation of theory related to real world business use case has bolstered confidence and understanding to become a great strategic leader. With online education I can continue with my job and apply the learning continuous during the course of time. They should atleast try some free courses at upGrad or take some small duration certification course with upGrad, then see the difference it makes in professional life. Their collaboration with reputed universities, course structure and live sessions SME. Moreover their online platform is very much friendly and content are high quality. These are feedbacks I got it during my research before I joined upGrad. Best part of upGrad is their upGrad buddy. They are really like your support system to make your learning amazing. Higher management has started seeing my knowledge and business acumen. I have been involved in many strategic decision making process and got appreciation for my strategic analysis and valuable business inputs. Concept of blue Ocean strategy suggested by me to venture into new areas for business development has been greatly appreciated by leadership team. They guided me every step of my journey. If any additional mentorship, SME coaching, were needed, they provided me without any second thought.
It was a amazing experience. The course structure, SME guidance and explanation of theory related to real world business use case has bolstered confidence and understanding to become a great strategic leader. With online education I can continue with my job and apply the learning continuous during the course of time. They should atleast try some free courses at upGrad or take some small duration certification course with upGrad, then see the difference it makes in professional life. Their collaboration with reputed universities, course structure and live sessions SME. Moreover their online platform is very much friendly and content are high quality. These are feedbacks I got it during my research before I joined upGrad. Best part of upGrad is their upGrad buddy. They are really like your support system to make your learning amazing. Higher management has started seeing my knowledge and business acumen. I have been involved in many strategic decision making process and got appreciation for my strategic analysis and valuable business inputs. Concept of blue Ocean strategy suggested by me to venture into new areas for business development has been greatly appreciated by leadership team. They guided me every step of my journey. If any additional mentorship, SME coaching, were needed, they provided me without any second thought.
Read More
Himansu Das
Solution Architect at Amdocs Inc
5 Years of Experience


Learning new business knowledge
Learning new business knowledge
Pleasant but time challenging. Better time management. Its worth it. Pricing. Learning a wide spectrum of knowledge.
Pleasant but time challenging. Better time management. Its worth it. Pricing. Learning a wide spectrum of knowledge.
Read More
Brandon Tek
Engineer Manager STA
20 Years of Experience
Masters in Data Science FAQs
1. How long does it take to complete a master in Data Science?
Typically, a PG in Data Science takes around two years to complete. However, some dual accreditation programs, such as the one offered by LJMU and IIIT-B, can be completed in 17 months, providing a faster pathway to your career goals.
Typically, a PG in Data Science takes around two years to complete. However, some dual accreditation programs, such as the one offered by LJMU and IIIT-B, can be completed in 17 months, providing a faster pathway to your career goals.
2. What type of learning experience can I expect from courses for data science?
Expect an engaging blend of recorded concept videos and interactive lectures led by industry experts and world-class faculty. You'll benefit from live Q&A sessions, peer-to-peer learning through data science bootcamp online, and plenty of opportunities to reinforce concepts through practical problem-solving.
Expect an engaging blend of recorded concept videos and interactive lectures led by industry experts and world-class faculty. You'll benefit from live Q&A sessions, peer-to-peer learning through data science bootcamp online, and plenty of opportunities to reinforce concepts through practical problem-solving.
3. Will the two specializations in data science course online require different time commitments?
Each specialization in data science course online will have a common 25-week curriculum in which the time commitment will be exactly the same. When you move onto a specialization, it might be that some weeks are heavier in a particular track but lighter for the others. But, overall the total time commitment required will be 15 hours/week on average.
Each specialization in data science course online will have a common 25-week curriculum in which the time commitment will be exactly the same. When you move onto a specialization, it might be that some weeks are heavier in a particular track but lighter for the others. But, overall the total time commitment required will be 15 hours/week on average.
1. How difficult is a master's in data science?
An online data science masters can be challenging, as it requires a solid foundation in mathematics, statistics, and computer science. But upGrad data science course provide learning content from basics to advanced levels, hence supporting learners with diverse needs. With determination, the right resources, and a passion for solving problems, many students successfully navigate this interdisciplinary field.
An online data science masters can be challenging, as it requires a solid foundation in mathematics, statistics, and computer science. But upGrad data science course provide learning content from basics to advanced levels, hence supporting learners with diverse needs. With determination, the right resources, and a passion for solving problems, many students successfully navigate this interdisciplinary field.
2. Can an average student excel in Data science online course?
Definitely! Anyone with determination and a willingness to learn can succeed in Data science online course, even without a technical background. Developing strong analytical and mathematical skills is key. To help beginners, we offer a 30-hour Python boot camp tailored for non-technical students.
Definitely! Anyone with determination and a willingness to learn can succeed in Data science online course, even without a technical background. Developing strong analytical and mathematical skills is key. To help beginners, we offer a 30-hour Python boot camp tailored for non-technical students.
3. How do I know if the data science courses are right for me?
4. What is the upGrad data science course?
5. What are the specializations in online masters in data science?
Core areas of specialization in online masters in data science include:
Data Analytics
Data Engineering
These subjects form the backbone of most data science programs, whether pursued online or on campus.
Core areas of specialization in online masters in data science include:
Data Analytics
Data Engineering
These subjects form the backbone of most data science programs, whether pursued online or on campus.
1. Is there any deferral or refund policy for this program?
Refund Policy:
1. You can claim a refund for the amount paid towards the Program at any time, before the Program Start Date, by visiting www.upgrad.com and submitting your refund form via the "My Application" section under your profile. You can request your Admissions Counsellor to help you in applying and withdrawing for a refund by sending them an email with reasons listed. There shall be no refund applicable once the program has started. This is applicable even for those students who could not complete their payment, and could not be enrolled in the batch opted for. However, the student can avail pre-deferral as per the policy defined below for the same.
2. Student must pay the full fee within seven (7) days of payment of the deposit amount or Batch Start Date, whichever is earlier; otherwise, the admission letter will be rescinded.
3. Request for refund as per point no. 1 of the refund policy must be sent via email in the prescribed refund request form. The refund will be processed within 30 working days of submitting the duly signed refund form, after being duly approved by the Academic Committee.
Refund Policy:
1. You can claim a refund for the amount paid towards the Program at any time, before the Program Start Date, by visiting www.upgrad.com and submitting your refund form via the "My Application" section under your profile. You can request your Admissions Counsellor to help you in applying and withdrawing for a refund by sending them an email with reasons listed. There shall be no refund applicable once the program has started. This is applicable even for those students who could not complete their payment, and could not be enrolled in the batch opted for. However, the student can avail pre-deferral as per the policy defined below for the same.
2. Student must pay the full fee within seven (7) days of payment of the deposit amount or Batch Start Date, whichever is earlier; otherwise, the admission letter will be rescinded.
3. Request for refund as per point no. 1 of the refund policy must be sent via email in the prescribed refund request form. The refund will be processed within 30 working days of submitting the duly signed refund form, after being duly approved by the Academic Committee.
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