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Post Graduate Certificate in Product Management

Duke CE

12 Months

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Post Graduate Certificate in Product Management

Duke CE

12 Months

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Post Graduate Certificate in Product Management

Duke CE

12 Months

ug-header-img

Post Graduate Certificate in Product Management

Duke CE

12 Months

ug-header-img

Post Graduate Certificate in Product Management

Duke CE

12 Months

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Master of Science in Data Science

Kick-start your Data Science journey with Globally Recognised Master's from Liverpool John Moores University .

In association with
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  DOWNLOAD SYLLABUS

INTRO VIDEO

Recognised Masters Degree by WES & Institute of Analytics (IOA)

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15 hrs / week

15 hrs / week

April 30, 2024

Start Date

20 Months

Duration

Blended

Format

Overview

Key Highlights

assignments

5 Unique Specializations

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25+ Industry Case Studies & Capstone Project

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14+ Tools & Languages

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6 Months - Masters Project / Thesis

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Complimentary Python Bootcamp

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Career Essential Soft Skills

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World Class Faculty from IIITB and LJMU

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85% Recorded + 15% Live Sessions

mentorship

Weekly Live Sessions with Industry Experts & Faculty

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Dual Alumni Status - IIITB and LJMU

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Career Coaching & Mentoring Sessions

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Global Networking Opportunities

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1 week LJMU on campus visit**

5 Unique Specializations to choose from

  1. Data Analytics
  2. Business Analytics
  3. Deep Learning
  4. Natural Language Processing
  5. Data Engineering

Syllabus

Experience 500+ hours of best-in-class, engaging content by leading university faculty and industry experts in the form of videos, cases, projects, quizzes, animations.

  DOWNLOAD SYLLABUS
Top Subjects You Will Learn
1. Statistics, Predictive Analytics, Exploratory Data Analysis
2. Machine Learning, Deep Learning
3. Data Visualization, Big Data Analytics, Data Engineering
4. Python, Tableau, MySQL, Advanced Excel etc.
view more
Job Opportunity
1. Data Analyst, Sr. Data Analyst, Data Scientist, Sr. Data Scientist
2. Product Analyst, Business Analyst, Finance Analyst, Operations Analyst, Marketing Analyst, Risk Analyst, HR Analyst, Data Driven Managers
3. Data Engineer, Machine Learning Engineer
view more
Who Is This Program For?
1. Software & IT Professionals
2. Engineers from all backgrounds
3. Data Professionals
4. Domain Experts, Business Professionals, Marketing & Sales Professionals, Business /Finance / OPs / HR Professionals, Freshers, Consultants looking to grow in their career
view more
Minimum Eligibility
Bachelor’s Degree with minimum 50% or equivalent passing marks. No coding experience required. view more

Programming Languages and Tools Covered

Earn a Master's Degree from LJMU
With a heritage that stretches back to 1823, Liverpool John Moores University, UK is now one of the largest and most well-established universities in the UK. It has been ranked in the Top 100 World Young Universities & Top 50 in the UK by Student Satisfaction.
With a heritage that stretches back to 1823, Liverpool John Moores University, UK is now one of the largest and most well-established universities in the UK. It has been ranked in the Top 100 World Young Universities & Top 50 in the UK by Student Satisfaction.
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  • Get access to the complete digital library of LJMU to research & write your dissertation
  • Complete all courses to achieve this prestigious M.Sc. Degree from LJMU, UK to jump-start your career in Data Science
  • Earn a Master's degree which is recognized by WES, at 1/10th the cost of an offline program

Instructors

Learn from leading Data Science faculty and industry leaders

Syllabus

Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions

  DOWNLOAD BROCHURE
  • 500+

    Hours of Learning Content.

  • 25+

    Case Studies and Projects

  • 50+

    Live Sessions

  • 14+

    Tools & Languages

  • 1

    Industry Capstone Project

  • 6 Months

    Masters Project

  • Data Analysis in Excel
  • Analytics Problem Solving

  • Introduction to Python
  • Programming in Python
  • Python for Data Science
  • Data Visualization in Python
  • Exploratory Data Analysis
  • Credit EDA Case Study
  • Inferential Statistics
  • Hypothesis Testing
  • Data Analysis using SQL
  • Advaced SQL & Best Practices
  • SQL Assignment: RSVP Movies

  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Classification using Decision Trees
  • Unsupervised learning: Clustering
  • Basics of NLP and Text Mining
  • Business Problem Solving
  • Case Study: Lead Scoring

  • Data Modelling
  • Advanced SQL Programming
  • Introduction to Cloud and AWS
  • Analytics at Large Scale in Spark - I
  • Analytics at Large Scale in Spark - II
  • Big Data Case Study
  • Basic Viz. using Tableau
  • Advanced Excel
  • Data Analysis and Visualisation in PowerBI
  • Analytical Thinking and Structured Problem Solving using Frameworks
  • Data Storytelling
  • AirBnB Case Study
  • Data Structures and Algorithms
  • Searching and Sorting
  • Algorithm Analysis + Recursion
  • Python & SQL Lab

  • Bagging & Random Forests
  • Model Selection - I
  • Model Selection - II
  • Time Series Forecasting - I
  • Time Series Forecasting - II
  • Model Selection
  • Case Study
  • Basic Viz. using Tableau
  • Advanced Excel
  • Data Analysis and Visualisation in PowerBI
  • Analytical Thinking and Structured Problem Solving using Frameworks
  • Data Storytelling
  • Airbnb Case Study
  • "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
  • Integrating speech using Whisper API and application deployment using Flask
  • "Fundamentals of Design, Photography, Product Development using Stable Diffusion in Python & Create PixxelCraft AI to enable fast-track digitisation for offline e-commerce businesses by generating high-quality images AI for a large product portfolio"
  • "Applications of LLMs in Data Science Projects & Automating News Recommendation using GPT3 and Copilot powered Machine Learning applications of LLMs"
  • Interview Gynie AI: Chatbot Development Project

  • Bagging & Random Forest
  • Boosting
  • Model Selection
  • Principal Component Analysis
  • Advanced Regression + Time Series Forecasting (Optional)
  • Advanced ML case Stuy
  • Introduction to Neural Networks and ANN
  • Backpropogation & Hyperparameter Tuning in Neural Networks
  • Introduction to Convolutional Neural Networks
  • CNN Architectures and Industry Applications + Recurrent Neural Networks (Optional)
  • Applications of DL in CV: Object Detection Image Segmentation (Optional)
  • Gesture Recognition Case Study
  • "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
  • Integrating speech using Whisper API and application deployment using Flask
  • "Fundamentals of Design, Photography, Product Development using Stable Diffusion in Python & Create PixxelCraft AI to enable fast-track digitisation for offline e-commerce businesses by generating high-quality images AI for a large product portfolio"
  • "Applications of LLMs in Data Science Projects & Automating News Recommendation using GPT3 and Copilot powered Machine Learning applications of LLMs"
  • Interview Gynie AI: Chatbot Development Project

  • Bagging & Random Forests
  • Boosting
  • Model Selection
  • PCA
  • Advanced Regression + Time Series Forecasting (Optional)
  • Advanced ML
  • Case Study
  • Neural Nets for NLP
  • Syntactic Processing
  • Introduction to Semantic Processing & Distributional Semantics
  • Semantic Processing - Topic Modelling
  • Advanced DL in NLP: Attention Mechanism Automatic
  • Ticket Classification
  • 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
  • Integrating speech using Whisper API and application deployment using Flask
  • Fundamentals of Design, Photography, Product Development using Stable Diffusion in Python & Create PixxelCraft AI to enable fast-track digitisation for offline e-commerce businesses by generating high-quality images AI for a large product portfolio
  • Applications of LLMs in Data Science Projects & Automating News Recommendation using GPT3 and Copilot powered Machine Learning applications of LLMs
  • Interview Gynie AI: Chatbot Development Project

  • Data Management and Relational Database Modelling
  • Introduction to Cloud and AWS Setup
  • Introduction to Hadoop and MapReduce Programming
  • NoSQL Databases and Apache HBase
  • Data Ingestion with Apache Sqoop and Apache Flume
  • Map reduce Programming Assignment
  • Hive and Quering + Optional Assignment
  • Introduction to Apache Spark+ Optional Assignment
  • Amazon Redshift
  • ETL Project
  • Optimizing Spark for Large scale processing
  • Real-Time Data Streaming with Apache Kafka
  • Real-Time Data Processing using Spark Streaming + Assignment (Optional) + Apache Flink (Optional)
  • Building Automated Data Pipelines with Airflow
  • Analytics using PySpark+ Optional Assignment
  • Retail Project

  • Further your career at 1/10 of the cost to the same on-campus program

  • Introduction to Research and Research Process
  • Research Design
  • Literature Reviewing
  • Research Project Management
  • Report Writing and Presentation Skills
  • Scientific Ethics

  • "Investigate dietary patterns and metabolite fingerprints of takeaway (fast) food consumers using PCA and clustering methods 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"

Specialization

You can choose one of the 5 specialization, based on your interest.

Topics Covered

Data Analytics

22 Weeks
Data Modelling Advanced SQL Programming Introduction to Cloud and AWS Analytics at Large Scale in Spark - I Analytics at Large Scale in Spark - II Big Data Case Study Basic Viz. using Tableau Advanced Excel Data Analysis and Visualisation in PowerBI Analytical Thinking and Structured Problem Solving using Frameworks Data Storytelling Airbnb Case Study Data Structures and Algorithms Searching & Sorting Algorithm Analysis and Recursion Advanced Database Programming using Pandas SQL & Python Lab

Business Analytics

22 Weeks
Bagging & Random Forests Model Selection - I Model Selection - II Time Series Forecasting - I Time Series Forecasting - II Model Selection Case Study Basic Viz. using Tableau Advanced Excel Data Analysis and Visualisation in PowerBI Analytical Thinking and Structured Problem Solving using Frameworks Data Storytelling Airbnb Case Study 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 Integrating speech using Whisper API and application deployment using Flask Fundamentals of Design, Photography, Product Development using Stable Diffusion in Python & Create PixxelCraft AI to enable fast-track digitisation for offline e-commerce businesses by generating high-quality images AI for a large product portfolio Applications of LLMs in Data Science Projects & Automating News Recommendation using GPT3 and Copilot powered Machine Learning applications of LLMs Interview Gynie AI: Chatbot Development Project

Deep Learning

22 Weeks
Bagging & Random Forest Boosting Model Selection PCA Advanced Regression + Time Series Forecasting (Optional) Advanced ML Case Study Introduction to Neural Networks and ANN Introduction to Neural Networks and ANN Backpropogation & Hyperparameter Tuning in Neural Networks Introduction to Convolutional Neural Networks CNN Architectures and Industry Applications + Recurrent Neural Networks (Optional) Applications of DL in CV: Object Detection Image Segmentation (Optional) Gesture Recognition Case Study 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 Integrating speech using Whisper API and application deployment using Flask Fundamentals of Design, Photography, Product Development using Stable Diffusion in Python & Create PixxelCraft AI to enable fast-track digitisation for offline e-commerce businesses by generating high-quality images AI for a large product portfolio Applications of LLMs in Data Science Projects & Automating News Recommendation using GPT3 and Copilot powered Machine Learning applications of LLMs Interview Gynie AI: Chatbot Development Project

Natural Language Processing

22 Weeks
Bagging & Random Forests Boosting Model Selection PCA Advanced Regression + Time Series Forecasting (Optional) Advanced ML Case Study Neural Nets for NLP Syntactic Processing Introduction to Semantic Processing & Distributional Semantics Semantic Processing - Topic Modelling Advanced DL in NLP: Attention Mechanism Automatic Ticket Classification 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 Integrating speech using Whisper API and application deployment using Flask Fundamentals of Design, Photography, Product Development using Stable Diffusion in Python & Create PixxelCraft AI to enable fast-track digitisation for offline e-commerce businesses by generating high-quality images AI for a large product portfolio Applications of LLMs in Data Science Projects & Automating News Recommendation using GPT3 and Copilot powered Machine Learning applications of LLMs Interview Gynie AI: Chatbot Development Project

Data Engineering

22 Weeks
Data Management and Relational Database Modelling Modelling Introduction to Cloud and AWS Setup Introduction to Hadoop and MapReduce Programming NoSQL Databases and Apache HBase Data Ingestion with Apache Sqoop and Apache Flume MapReduce Programming Assignment Hive and Quering + Optional Assignment Introduction to Apache Spark+ Optional Assignment Amazon Redshift ETL Project Optimizing Spark for Large scale processing Real-Time Data Streaming with Apache Kafka Real-Time Data Processing using Spark Streaming + Assignment (Optional) + Apache Flink (Optional) Building Automated Data Pipelines with Airflow Analytics using PySpark+ Optional Assignment Retail Project

Industry Projects and and Case Studies

Learn through real-life industry projects sponsored by top companies across industries
 
  • Engage in collaborative projects with student-mentor interaction

  • Benefit by learning in-person with expert mentors

  • Personalized subjective feedback on your submissions to facilitate improvement

The upGrad Advantage

Unparalleled academic assistance ensuring a seamless research experience.

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  • High Performance Coaching (1:1) with a dedicated career coach to build your career path
  • Career Webinars, where the industry leaders would guide you on job opportunities, career path in the field of Data Science
  • Resume and Linkedin Profile Building to enhance your career
  • Interview Preparation, with the help of industry experts and prep material
  • Access to Global Job Opportunities through our Career Center Portal
  • Career Essential Soft Skills sessions to do well in interview, meetings, presentations
  • Job Readiness Assessments to ensure our learners get job ready

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Student Support (Non-Academic queries)
  • Dedicated upGrad Buddy as your single POC for all queries
  • In addition, Student Support Team is available 7 days a week, 24*7
  • Email us on studentsupport@upgrad.com
  • OR use the "Talk to Us" option on the Learn platform
Doubt Resolution (Academic)
  • Live Discussion forum for peer to peer doubt resolution monitored by technical experts
  • 1-1 Doubt solving sessions with Teaching Experts
  • Informal peer groups on Whatsapp or Telegram for doubt solving

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Industry Networking
  • Global batchmates & alumni: Our learners are from 85+ countries
  • Networking webinars to interact with batchmates and alumni
  • Online discussion forums for peer to peer interaction
  • Learn & network with our industry experts, career coaches
  • Informal peer groups: Our Learners form groups on Whatsapp for interaction & networking purpose

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  • Interactive Live Sessions with leading industry experts covering curriculum + advanced topics
  • Lab walkthroughs of industry-driven projects and case studies
  • Live Sessions on Complimentary Python Boot Camp

Admission Process

There are 3 simple steps in the Admission Process which are detailed below:

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Program Fees: USD 6,500

**(Optional) 1 week LJMU campus visit at an additional USD 2000 or equivalent local currency

*Get certified by Wharton, the #1 Business School in the world for an additional $2000.

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Refer someone you know and receive cash reimbursements of up to $500!*
*More details under the referral policy under Support Section

How You Benefit From This Program

Features/Benefits

  • Earn a Master's degree without quitting your job
  • Complete Online Degree without disturbing your personal or professional life
  • Get alumni status from Liverpool John Moores University & IIIT-B
  • Get a Master's degree at just 1/10 the cost of an on campus program
  • Experience world class online education anytime, anywhere through our mobile app or desktop

Empowering learners of tomorrow

Over 2,300 students have completed this course and started working at their dream job, whats stopping you?

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Student Reviews

Frequently Asked Questions

The Master's degree is an engaging yet rigorous 20-month blended 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.

 

Expect to carry out several industry-relevant projects simulated as per the actual workplace, making you a skilled data science professional at par with leading industry standards.
 

The program is NOT going to be easy. It will be requiring at least 15 hours of time commitment per week, applying new concepts and executing industry relevant projects.

 

The program is designed for working professionals looking for a transition or growth into the data domain. Considering the requirements of different data roles in the industry, the curriculum is divided into 3 specializations. These three specializations will have a common curriculum running for approximately 5-6 months that everyone will go through after which they have to do two specialization courses and a capstone project in the remaining 6-7 months. The topics that are going to be covered as a part of the common curriculum and each of the three specializations are as follows:

 

Common Curriculum: Basics of SQL, Python, Statistics and EDA, Basic Machine Learning Models

 

Deep Learning Specialization: Advanced Machine Learning, Neural Networks

 

Data Engineering: Data Modelling and Data Warehousing, Building Data Pipelines, Data Streaming, and Processing

 

Data Analytics / Business Intelligence: Advanced SQL and NoSQL Databases, Storytelling with Advanced Visualization

 

This would be followed by 6 months Masters articulation from LJMU which would consist of Research Methodology and Masters Thesis under the supervision of subject matter expert.

The content will be a mix of interactive lectures from industry leaders as well as world-renowned faculty. Additionally, the program comprises live lectures or hangout sessions dedicated to solving your academic queries and reinforcing learning. Offline upGrad BaseCamps will also facilitate peer-to-peer interactions.
 

Post successful completion of the program, a certificate in Executive PG Program in Data Science would be granted from IIIT Bangalore and a Master's degree from LJMU.

 

The program has ~23 weeks of common curriculum and ~29 weeks of specialization and capstone project. Once you’re through the 23 weeks of curriculum common to all three tracks, you will be prompted to choose your specialization.

 

When you’re nearing the end of your common curriculum, upGrad will provide you with a recommendation best suited for you based on your background. The following mapping should give you an idea about the specialization best suited for you although the final upGrad recommendation would come from a much more exhaustive rule engine.

Deep Learning: Engineers, Software and IT Professionals

Business Intelligence/ Data Analytics: Engineers, Marketing and Sales Professionals, Freshers

No. You can choose whatever specialization you like once you are through the common curriculum. However, we would urge you to take up the recommendation provided by us as this based on a sophisticated rule engine and is meant to give you the best outcome for your background which will, in turn, make it easier for you to switch to a data role.

Please find the link to the LJMU Collaborative Provision Register, where students can verify validation of the award on the LJMU web pages.

Please find the link to the Program Specifications of the MSDS program on the LJMU website.

At least 15 hours per week of time commitment is expected to be able to graduate from the program.

Each of the three specialisations will have a common ~22-week curriculum in which the time commitment will be exactly the same.

If you like finding meaningful insights from data and if you get excited by the prospect of informing business decisions through analysis and have an analytical bend of mind, then this program is meant for you. As long as you are able to clear the selection test (or are exempt) and are excited about the transition to Data Science, this program is meant for you.

 

Absolutely! Data Science is becoming a necessity for all industries and is no more a choice. Hence, there is a critical demand for quality data professionals and because the supply is constrained, this is one of the most lucrative career options across industries.​
 

There are 3 simple steps in the Admission Process which is detailed below:

 

Step 1: Take the Online Eligibility Test

Complete your application to take the 17 minute online eligibility test with few questions to kick-start the admission process. The test is designed to assess your quantitative & logical aptitude ensuring you're ready for the program.

 

Step 2: Get Shortlisted & Receive your Offer Letter

Our Admissions Committee will review your test score & profile. Upon qualifying, an Offer Letter will be sent to you confirming your admission to the Executive PGP in Data Science and Master in Data Science from L.J.M.U

 

Step 3: Block your Seat & Begin the Prep Course

Reserve your seat by paying the block amount to enroll in the program. Begin with your Prep course and start your Data Science journey!

upGrad, IIITB, LJMU, world-renowned faculty, and many industry leaders have committed a lot of time in conceptualising and creating this program to make sure that the learners can receive the best possible learning experience in data analytics. Hence, we want to make sure that the participants of this program also show a very high level of commitment and passion for Data Science.

The applicants will have to take a selection test designed to check their aptitude and quantitative abilities. The applicants can skip the test if they meet one of the following criteria:

  • GRE score is greater than 300
  • GMAT score is greater than 650
  • CAT score is greater than 90 percentile
  • GATE score is greater than 500

Bachelor’s Degree with minimum 50% or equivalent passing marks. 

No coding experience required.

Disclaimer:

1. upGrad does not grant credit; credits are granted, accepted or transferred at the sole discretion of an educational institution. upGrad does not make any representations regarding the recognition or equivalence of the credits or credentials awarded, unless otherwise expressly stated. If you intend to pursue a post graduate or doctorate degree upon completion of this course or apply for employment which requires specific credits, we advise you to enquire further regarding the suitability of this degree for your academic and/or professional requirements before enrolling.

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