Learning Hours15 hrs / week
Start DateComing Soon
Duration20 Months
FormatBlended
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    Overview

    Key Highlights

    3 Unique Specializations
    3 Unique Specializations
    25+ Industry Case Studies & Capstone Project
    25+ Industry Case Studies & Capstone Project
    14+ Tools & Languages
    14+ Tools & Languages
    6 Months - Masters Project / Thesis
    6 Months - Masters Project / Thesis
    Complimentary Python Bootcamp
    Complimentary Python Bootcamp
    Career Essential Soft Skills
    Career Essential Soft Skills
    World Class Faculty from IIITB and LJMU
    World Class Faculty from IIITB and LJMU
    85% Recorded + 15% Live Sessions
    85% Recorded + 15% Live Sessions
    Weekly Live Sessions with Industry Experts & Faculty
    Weekly Live Sessions with Industry Experts & Faculty
    Dual Alumni Status - IIITB and LJMU
    Dual Alumni Status - IIITB and LJMU
    Career Coaching & Mentoring Sessions
    Career Coaching & Mentoring Sessions
    Global Networking Opportunities
    Global Networking Opportunities
    1 week LJMU on campus visit**
    1 week LJMU on campus visit**

    3 Unique Specializations to choose from
    - Deep Learning
    - Business Intelligence/ Data Analytics
    - 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 Analysview more
    Job Opportunity
    1. Data Analyst, Sr. Data Analyst, Data Scientist, Sr. Data view more
    Who Is This Program For?
    1. Software & IT Professionals
    2. Engineers from all back
    view more
    Minimum Eligibility
    Bachelor’s Degree with minimum 50% or equivalent passing marview more

    Programming Languages and Tools Covered

    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.
    Master's Degree from LJMU
    Click to zoom
    • Complete all courses to achieve this prestigious M.Sc. Degree from LJMU, UK to jump-start your career in Data Science
    • Get access to the complete digital library of LJMU to research & write your dissertation
    • 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
    Master Project / Thesis

    Pre-Program Preparatory Content

    • Data Analysis in Excel
    • Analytics Problem Solving

    Data Toolkit

    12 Weeks
    • 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

    Machine Learning

    10 Weeks
    • 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

    Specialization- Deep Learning

    22 Weeks
    • Bagging & Random Forest
    • Boosting
    • Model Selection & General ML Techniques
    • Principal Component Analysis
    • Advanced Regression
    • Advanced ML case Stuy
    • Time Series Analysis
    • Introduction to Neural Networks and ANN
    • Neural Network Assignment
    • Convolutional Neural Networks
    • Convolutional Neural Networks -Industry Applications
    • Object Detection & Image Segmentation (Optional)
    • Recurrent Neural Networks
    • Gesture Recognition
    • Capstone Project

    Specialisation - Business Intelligence/Data Analytics

    22 Weeks
    • Visualisation using Tableau
    • Advanced Excel
    • Visualisation using PowerBI
    • Structured Problem Solving using Frameworks
    • Data Storytelling
    • AirBnB Case Study
    • Data Modelling
    • Advanced SQL and Best Practices
    • Introduction to Big Data and Cloud
    • Analytics using Spark
    • Big Data Case Study
    • Data Structures - Sets, Dictionaries, Stacks, Queues
    • Searching and Sorting
    • Algorithm Analysis + Recursion
    • Advanced Database Programming using Pandas
    • Python & SQL Lab
    • Capstone Project

    Specialisation - Data Engineering

    22 Weeks
    • Data Management and Relational Database Modelling
    • Introduction to Big Data(Optional)
    • Introduction to Cloud and AWS Setup
    • Introduction to Hadoop and MapReduce Programming
    • Assignment (Optional)
    • NoSQL Databases and Apache HBase and NoSQL Databases and MongoDB(Optional)
    • Data Warehousing (Optional)
    • Data Ingestion with Apache Sqoop and Apache Flume
    • Map reduce Programming Assignment
    • Hive & Querying
    • Assignment (Optional)
    • Amazon Redshift
    • Introduction to Apache Spark
    • Project: ETL Data Pipline
    • AWS Cloud Infrastructure (Optional)
    • Optimising Spark for Large Scale Data Processing
    • Apache Flink(Optional)
    • Real-Time Data Streaming with Apache Kafka
    • Real-Time Data Processing using Spark Streaming
    • Assignment (Optional)
    • Building Automated Data Pipelines with Airflow
    • Analytics using PySpark
    • Project: Real Time data processing
    • Capstone Project

    Research Methodologies

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

    Master's Dissertation

    16 Weeks
    • 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

    Specializations

    You can choose one of the 3 specialization, based on your interest.

    Topics Covered

    Deep Learning

    22 Weeks
    4 Assignments
    Bagging & Random ForestBoostingModel Selection & General ML TechniquesPrincipal Component AnalysisAdvanced RegressionAdvanced ML case StuyTime Series AnalysisIntroduction to Neural Networks and ANNNeural Network AssignmentConvolutional Neural NetworksConvolutional Neural Networks -Industry ApplicationsObject Detection & Image Segmentation (Optional)Recurrent Neural NetworksGesture RecognitionCapstone 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

    Strong hand-holding with dedicated support to help you master Data Science
    benefits

    Career Services

    Career Services
    • 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
    benefits

    Learning Support

    Learning Support
    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
    benefits

    Networking Opportunities

    Networking Opportunities
    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
    benefits

    Interactive Live Sessions

    Interactive Live Sessions
    • 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

    Our Learners Work At

    Admission Process

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

    Program Fees

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

    *Earn a Certificate from 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

    Empowering learners of tomorrow

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

    Student Reviews

    Frequently Asked Questions

    Course Curriculum

    What is the Master's in Data Science with upGrad?

    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.

    What should I expect from the Master's Degree in Data Science?

    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.

    What should I NOT expect from the Master's Degree in Data Science?

    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.

    Which topics are going to be covered as part of the program?

    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.

    What type of learning experience should I expect?

    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.

    Is any certification granted at the end of the program?

    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.

    When will I have to choose my specialization track?

    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.

    How do I know which specialization is best for me?

    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

    Data Engineering: Software and IT Professionals

    Do I have to choose the specialization recommended by upGrad?

    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.

    Time Commitment

    What is the time commitment expected for the program?

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

    Will the three specialisations require different time commitments?

    Each of the three specialisations will have a common ~22-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

    Selection Criteria

    How do I know if the program is right for me?

    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.

    My current role does not include exposure to data. Does it make sense for me to opt for this program?

    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.​

    What is the application process for the program and what are the timelines?

    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!

    What is the selection process for this program?

    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

    Is there any minimum educational qualification required to take this program?

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

    No coding experience required.

    Refund Policy/Financials

    Is there any deferral or refund policy for this program?

    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.

    **All telephone calls will be recorded for training and quality purposes.

    **If we are unavailable to attend to your call, it is deemed that we have your consent to contact you in response.