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MS in Data AnalyticsMS in Project ManagementMS in Information TechnologyMasters Degree in Data Analytics and VisualizationMasters Degree in Artificial IntelligenceMBS in Entrepreneurship and MarketingMSc in Data AnalyticsMS in Data AnalyticsMS in Computer ScienceMaster of Science in Business AnalyticsMaster of Business Administration MS in Data ScienceMS in Information TechnologyMaster of Business AdministrationMS in Applied Data ScienceMaster of Business Administration | STEMMS in Data AnalyticsM.Sc. Data Science (60 ECTS)Master of Business AdministrationMS in Information Technology and Administrative Management MS in Computer Science Master of Business Administration Master of Business Administration-90 ECTSMSc International Business ManagementMS Data Science Master of Business Administration MSc Business Intelligence and Data ScienceMS Data Analytics MS in Management Information SystemsMSc International Business and ManagementMS Engineering ManagementMS in Machine Learning EngineeringMS in Engineering ManagementMSc Data EngineeringMSc Artificial Intelligence EngineeringMPS in InformaticsMPS in Applied Machine IntelligenceMS in Project ManagementMPS in AnalyticsMS in Project ManagementMS in Organizational LeadershipMPS in Analytics - NEU CanadaMBA with specializationMPS in Informatics - NEU Canada Master in Business AdministrationMS in Digital Marketing and MediaMSc Sustainable Tourism and Event ManagementMSc in Circular Economy and Sustainable InnovationMSc in Impact Finance and Fintech ManagementMS Computer ScienceMS in Applied StatisticsMaster in Computer Information SystemsMBA in Technology, Innovation and EntrepreneurshipMSc Data Science with Work PlacementMSc Global Business Management with Work Placement MBA with Work PlacementMS in Robotics and Autonomous SystemsMS in Civil EngineeringMS in Internet of ThingsMSc International Logistics and Supply Chain ManagementMBA- Business InformaticsMSc International ManagementMBA in Strategic Data Driven ManagementMSc Digital MarketingMBA Business and MarketingMaster of Business AdministrationMSc in Sustainable Global Supply Chain ManagementMSc Digital Business Analytics MSc in International HospitalityMSc Luxury and Innovation ManagementMaster of Business Administration-International Business ManagementMS in Computer EngineeringMS in Industrial and Systems EngineeringMSc International Business ManagementMaster in ManagementMSc MarketingMSc Business ManagementMSc Global Supply Chain ManagementMS in Information Systems and Technology with Business Intelligence and Analytics ConcentrationMSc Corporate FinanceMSc Data Analytics for BusinessMaster of Business AdministrationMaster of Business AdministrationMaster of Business AdministrationMSc in International FinanceMSc in International Management and Global LeadershipMaster of Business AdministrationBachelor of BusinessMaster of Business Administration 60 ECTSMaster of Business Administration 90 ECTSMaster of Business Administration 90 ECTSBachelor of Business AnalyticsBachelor of Information TechnologyMaster of Business AdministrationMBA Business AnalyticsMSc in Marketing Analytics and Data IntelligenceMS Biotechnology Management and EntrepreneurshipMSc in Luxury and Fashion ManagementMaster of Business Administration (90 ECTS)Bachelor of Business Administration (180 ECTS)B.Sc. Computer Science (180 ECTS) MSc in International Corporate Finance MSc in Sustainable Luxury and Creative IndustriesMSc Digital MarketingMSc Global Supply Chain Management (PGMP)MSc Marketing (PGMP)MSc Corporate Finance (PGMP)MSc Data Analytics for Business (PGMP)MS Business AnalyticsMaster of Business AdministrationMS Quantitative FinanceMS Fintech Management
For College Students

12600+

Students Empowered

Online

Format

-- months

Duration Recommended 10-12 hrs/week

300+

Hiring Partners

    Program Overview

    Key Highlights

    Only online M.Sc in DS for working professionals
    Only online M.Sc in DS for working professionals
    60+ Case Studies and Projects
    60+ Case Studies and Projects
    5 Unique Specialisations
    5 Unique Specialisations
    IIIT Bangalore & LJMU Alumni Status
    IIIT Bangalore & LJMU Alumni Status
    Global access to job opportunities
    Global access to job opportunities

    upGrad has been instrumental in helping us in finding candidates with key skill sets in Data Science and Analytics
    - Val S, Director at Animaker

    animaker

    Over 500 Careers Transformed

    Programming Languages and Tools

    LJMU

    IIIT Bangalore

    Master's Degree from LJMU
    Complete all the courses successfully to obtain this prestigious recognition from LJMU.
    Master's Degree from LJMU
    Click to zoom
    • Internationally recognized degree
    • Get access to complete digital library of LJMU
    • Earn a Master's degree same as on-campus degree at 1/10th the cost

    Top Skills You Will Learn

    Statistics, Predictive Analytics using Python, Machine Learnview more

    What You Can Become

    Data Analyst, Data Scientist, Business Analyst, Data Engineeview more

    Who is this program for

    Any of the 5 tracks can be chosen by you regardless of the bview more

    Minimum Eligibility

    Bachelor’s degree, no coding experience required

    Our Hiring Partners

    Opening the doors to the best in the industry

    Empowering learners of tomorrow

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

    Instructors

    Learn from leading Data Science faculty and industry leaders

    Dr. Gabriela Czanner
    Dr. Gabriela Czanner

    Dr. Gabriela Czanner

    Faculty - Engineering and Technology
    A Senior Lecturer in Statistics and Data Science at Department of Applied Mathematics at LJMU. Her research focus is advanced statistics for decision support
    Prof. Paulo Lisboa
    Prof. Paulo Lisboa

    Prof. Paulo Lisboa

    Head of Dept - Applied Mathematics
    Studied mathematical physics at LU and was the chairman of Industrial Mathematics at LJMU in 1996 and Head of Graduate School in 2002
    Dr. Atif Waraich
    Dr. Atif Waraich

    Dr. Atif Waraich

    Faculty - Computer Science
    A Senior faculty of Engineering and Technology at LJMU who has multiple publications in the healthcare domain
    Prof. Dhiya Al-Jumeily
    Prof. Dhiya Al-Jumeily

    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
    Chandrashekar Ramanathan
    Chandrashekar Ramanathan

    Chandrashekar Ramanathan

    Dean - Academics
    Prof. Chandrashekar has a Ph.D. from Mississippi State University and over 10 years of experience in several multinational organisations
    Tricha Anjali
    Tricha Anjali

    Tricha Anjali

    Associate Dean
    Prof. Anjali has a Ph.D. from Georgia Tech as well as an integrated M.Tech. (EE) from IIT Bombay. She is currently the dean of IIIT-B
    Prof. S. Sadagopan
    Prof. S. Sadagopan

    Prof. S. Sadagopan

    Director
    Prof. Sadagopan is the Director of IIIT Bangalore. He has an M.S. and a Ph.D. from Purdue University as well as a B.E. (Hons.) degree from Madras University
    Anshuman Gupta
    Anshuman Gupta

    Anshuman Gupta

    Director, Data Science
    He has a Ph.D. (Dual) from Penn State University as well as a B.Tech. Degree from IIT Bombay.
    Ujjyaini Mitra
    Ujjyaini Mitra

    Ujjyaini Mitra

    Head of Data Science
    An alumnus of McKinsey and Co., Flipkart, and Bharti Airtel with over 11 years of experience
    Ankit Jain
    Ankit Jain

    Ankit Jain

    Sr. Research Scientist
    An alumnus of IIT Bombay, UCB, and Harvard Business School with over 9 years of experience.
    Mirza Rahim Baig
    Mirza Rahim Baig

    Mirza Rahim Baig

    Lead Business Analytics
    Advanced analytics professional with 8+ years of experience as a consultant in the e-commerce and healthcare domains

    Learning

    Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments, and live sessions
    Download Brochure
    400+
    Hours of Content Learning
    25
    1:8 Coaching Sessions
    20+
    Live Sessions Overall

    Pre-Program Preparatory Content

    4 Weeks
    0 Assignments
    • Data Analysis in Excel
      8hr 55min
    • Analytics Problem Solving
      12hr
    • Introduction to Python
      6hr
    • Python for Data Science
      10hr

    Data Toolkit

    11 Weeks
    2 Assignments
    • Data Analysis using SQL
      8hr
    • Introduction to Python
      6hr
    • Programming in Python
      20hr
    • Python for Data Science
      10hr
    • Visualization in Python
      6hr
    • IMDb Movie Assignment
      8hr
    • Exploratory Data Analysis
      10hr 30min
    • Inferential Statistics
      9hr
    • Hypothesis Testing
      10hr
    • Credit EDA Case Study
      9hr

    Machine Learning

    9 Weeks
    3 Assignments
    • Introduction to Machine Learning and Linear Regression
      14hr
    • Assignment: Linear Regression
      6hr
    • Logistic Regression
      9hr
    • Business Problem Solving
      15hr
    • Unsupervised learning: Clustering
      8hr 30min
    • Assignment: Unsupervised + Supervised
      8hr
    • Case Study: Lead Scoring
      10hr

    Specialization - Deep Learning

    19 Weeks
    4 Assignments
    • Tree Models
      14hr
    • Model Selection & General ML Techniques
      7hr 30min
    • Bagging and Boosting
      12hr
    • Advanced Regression
      12hr
    • Advanced Regression Assignment
      12hr 30min
    • Principal Component Analysis
      8hr
    • Time Series Analysis
      10hr
    • Telecom Churn Case Study
      14hr
    • Introduction to Neural Networks
      30hr
    • Neural Networks Assignment
      12hr
    • Convolutional Neural Networks - Introduction and Industry Applications
      20hr
    • Recurrent Neural Networks
      15hr
    • Gesture Recognition
      20hr
    • Capstone Project
      40hr

    Specialization - Natural Language Processing

    19 Weeks
    4 Assignments
    • Tree Models
      14hr
    • Model Selection & General ML Techniques
      7hr 30min
    • Bagging and Boosting
      12hr
    • Advanced Regression
      12hr
    • Advanced Regression Assignment
      12hr 30min
    • Principal Component Analysis
      8hr
    • Time Series Analysis
      10hr
    • Telecom Churn Case Study
      14hr
    • Lexical Processing
      10hr
    • Syntactic Processing
      30hr
    • Syntactic Processing Assignment
      10hr
    • Semantic Processing
      10hr
    • Chatbot Case Study
      20hr
    • Capstone Project
      40hr

    Specialization - Business Intelligence

    19 Weeks
    4 Assignments
    • Introduction to Databases
      8hr
    • Advanced SQL and Best Practices
      9hr
    • Schema Design and Retrieval Assignment
      8hr
    • NoSQL Databases and Best Practices
      20hr
    • Introduction to Cloud and Hive
      12hr
    • SQL Case Study: Analysing Big Data in Retail
      14hr
    • Advanced Excel
      10hr
    • Visualization using Tableau
      16hr
    • Interactive Marketing Campaign Analysis
      10hr
    • Visualization using PowerBI
      9hr
    • Introduction to R and RShiny
      14hr
    • Effective Communication Strategies, Formats, and Templates
      8hr
    • Presentations to Technical and Non-Technical Stakeholders
      8hr
    • Business Case Study
      16hr
    • Capstone Project
      40hr

    Specialization - Business Analytics

    19 Weeks
    4 Assignments
    • Tree Models
      14hr
    • Time Series Analysis
      20hr
    • Retail-Giant Sales Forecasting Assignment
      9hr
    • Model Selection & General ML Techniques
      7hr 30min
    • Telecom Churn Case Study
      14hr
    • Advanced SQL and Best Practices
      9hr
    • Advanced Excel
      10hr
    • Structured Problem Solving using Frameworks
      9hr
    • Hypothesis Formulation
      9hr
    • Assignment
      8hr
    • Revenue and Operational Cost Modelling
      8hr 30min
    • Introduction to Economics and Financial Concepts
      12hr
    • Effective Communication Strategies, Formats, and Templates
      8hr
    • Presentations to Technical and Non-Technical Stakeholders
      16hr
    • Business Case Study
      16hr
    • Capstone project
      40hr

    Specialization - Data Engineering

    19 Weeks
    4 Assignments
    • Introduction to Hadoop and MapReduce Programming
      12hr
    • Data Management and Relational Database Modelling
      8hr
    • NoSQL Databases and Apache HBase
      12hr
    • Data Warehousing (Optional)
      8hr
    • Data Ingestion with Apache Sqoop and Apache Flume
      12hr
    • Assignment (Optional)
      15hr
    • Building and Querying Data Warehouse with Apache Hive
      20hr
    • Case Study: Ingestion & Warehousing
      20hr
    • Data Processing with PySpark
      20hr
    • Real-Time Data Streaming with Apache Kafka
      12hr
    • Real-Time Data Processing using Spark Streaming
      12hr
    • Assignment (Optional)
      15hr
    • Building Automated Data Pipelines with Oozie/Airflow
      12hr
    • Analytics using PySpark
      20hr
    • Case Study: Kafka, Spark Streaming and PySpark
      20hr
    • Capstone Project
      40hr

    Research Methodologies

    8 Weeks
    0 Assignments
    • What is research?
    • Types of research
    • Research process
    • Data collection
    • Report writing and presentation
    • Scientific ethics

    Master's Dissertation

    16 Weeks
    0 Assignments
    • 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

    Specialisations

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

    Topics Covered

    Deep Learning

    19 Weeks
    4 Assignment
    Tree ModelsModel Selection & General ML TechniquesBagging and BoostingAdvanced RegressionAdvanced Regression AssignmentPrincipal Component AnalysisTime Series AnalysisTelecom Churn Case StudyIntroduction to Neural NetworksNeural Networks AssignmentConvolutional Neural Networks - Introduction and Industry ApplicationsRecurrent Neural NetworksGesture RecognitionCapstone project

    Tools

    Project

    Capstone Project

    Choose from a range of real-world industry woven projects on advanced topics like Recommendation Systems, Fraud Detection, Emotion Detection from faces, Social Media Listening, Speech Recognition among many others

    Learn More

    Industry Projects

    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
    • Personalised subjective feedback on your submissions to facilitate improvement

    Uber Supply-Demand Gap

    Use analytics to identify why Uber sometimes faces a supply-demand challenge and what can be done to overcome it.

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    Creditworthiness of Customers

    Learn how Predictive Analytics can be used to decide the creditworthiness of customers and whether they are issued a credit card or not

    Learn More

    Speech Recognition

    Learn how Google speech-to-text works and make your own model.

    Learn More

    Image Captioning

    Build a model which will caption a given image and describe it in sentences in a detailed way like objects present, the actions they are doing, etc.

    Learn More

    Social Media Listening

    What if you could predict the popularity of a brand like upGrad in India?

    Learn More

    Telecom Churn

    Telecom companies often face the problem of churning customers due to the competitive nature of the industry. Help a telecom company identify customers that are likely to churn and make data-driven strategies to retain them.

    Learn More

    Lead Scoring

    Learn how the knowledge of basic machine learning algorithms can be used to determine leads that are potentially convertible and save your Sales team time, money, and resources.

    Learn More

    IMDb Movie Analysis

    Analyze movie data from the past hundred years and find out various insights to determine what makes a movie do well.

    Learn More

    Retail-Giant Sales Forecasting

    Help a retail-giant to have a clear idea of how their sales will look like in the future.

    Learn More

    Interactive Marketing Campaign Analysis

    Research and analyse data from a marketing campaign to gain valuable insights and determine the ‘yays’ and ‘nays’ of the campaign.

    Learn More

    Fraud Detection

    Decline fraud transactions on a credit card in real-time to minimize the losses so that customers are not charged for items that they did not purchase.

    Learn More

    The upGrad Advantage

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

    Regular 1-on-1 interaction with Industry Experts

    Regular 1-on-1 interaction with Industry Experts
    • Discussions on career growth and industry expectations
    • Feedback on project work and assignments
    benefits

    Dedicated Student Success Mentors

    Dedicated Student Success Mentors
    • Help in learning plans ensuring consistent progress
    • Resolve non-academic queries for smooth learning experience
    benefits

    Doubt Resolution on Q&A Forums & WhatsApp Groups

    Doubt Resolution on Q&A Forums & WhatsApp Groups
    • Timely doubt resolution by qualified teachers
    • Regular live Q&A sessions with experts
    benefits

    Networking with Industry Experts & Peers

    Networking with Industry Experts & Peers
    • Live sessions by industry experts on relevant topics
    • Interaction with experts and peers in online and offline events translating into new job opportunities
    benefits

    Job Placement Assistance

    Job Placement Assistance
    • Personalised resume building exercise
    • Mock interviews with our hiring experts
    • Job Interviews with 300+ hiring partners
    Career Transition Handbook
    Learn more about successful career transitions from PG Diploma in Data Science by IIIT Bangalore
    Download Now

    Student Reviews

    Vibhor Srivastava

    Vibhor Srivastava

    Deputy Manager, ICICI Bank4.5 years experience
    The PGD-DA course from upGrad and IIIT-Bangalore has been a boon for me and it has helped enhance my skills in Excel, SQL, R, etc.
    linkedin
    Detailed Review
    Rutuja Mowade

    Rutuja Mowade

    Analyst, Nice4 years experience
    It doesn’t matter what your previous working background is, as everything is taught from the basics.
    quora
    Detailed Review
    Anshu Srivastava

    Anshu Srivastava

    Reaserach Assistant, Nice6 years experience
    Group case studies really give a sense of teamwork, as it happens in regular classroom studies. It teaches us coordination and right attitude as a team player in meeting all the deadlines.
    linkedin
    Detailed Review
    Gangadhar Mathyam

    Gangadhar Mathyam

    Data Analyst, Tech Mahindra2 years experience
    They will prepare you how to face Data Science job interviews. Along with this, upGrad will also provide mock interviews and mock mcqs tests to check your capability for the interviews.
    quora
    Detailed Review