Courses

Master Degree in Data Science

Kick start your Data Science journey with Globally Recognized Master's Degree from International University of Applied Sciences, Germany. Receive dual Accreditation Executive PG Programme from IIIT Bangalore and Master Degree from IU, Germany on completion of course

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Intro Video
  • 40,000+
    Learners
  • 1st year online
    2nd year on-campus in Germany.
  • 24 Months
    Recommended 13 hrs/week
  • Dec 30, 2021
    Start Date
  • Save 20 Lakhs
    in degree cost
  • PSW Visa
    Eligible to apply for 18 months PSW Visa
  • Overview
  • Certificate
  • Instructors
  • Syllabus
  • Specialisations
  • Projects
  • Benefits
  • Admission Process
  • Fees
  • Refer & Earn

About the Programme

Blended programme which combines 1st year online at IIIT Bangalore with 1 year on-campus at IU Germany, hence getting you best of both the worlds.

Customizable curriculum

6 Specializations at IIIT Bangalore and 10 electives at IU Germany

Student Support

Student support available 09 AM to 09 PM IST via email or use the Call Back option on the platform to get a response within 2 working hours.

End-to-end counseling and visa support

upGrad team will help you with application to IU Germany, securing confirmed offer letter & support with German visa application.

Programme Overview

Key Highlights

  • Complimentary Python Programming Bootcamp
  • Career Essential Soft Skills Programme
  • Eligible for 18 months Post Study Work visa application after graduation
  • 500+ Hours of Learning
  • No IELTS required to study in Germany for upGrad learners
  • 25+ Case Studies and Projects
  • IIIT Bangalore & IU, Germany Alumni Status
  • Fortnightly Group Mentorship with Industry Mentors
  • One-on-One with Industry Mentors
  • Timely Doubt Resolution
  • Student Support available all days 9 AM - 9 PM IST for queries
  • Global access to job opportunities
  • No Cost EMI Option
  • NASSCOM certificate
  • 94% of IU Graduate receive confirmed job offers within 6 months of graduation
  • Study in Europe's most resilient economy

10 electives to chose from at IU Germany
Software Engineering for Data Intensive Sciences, Management, Sales, Pricing and Brand Management, Consumer Behavior and Research, Corporate Finance, Innovate and Change, Cognitive Computing, Applied Autonomous Driving, Self Learning Systems & Industrial Automation and Internet of Things.

  • Top Skills You Will Learn
    Statistics, Predictive Analytics using Python, Machine Learning, Data Visualization, Big Data Analytics, etc.
  • Job Opportunities
    Data Analyst, Data Scientist, Product Analyst, Machine Learning Engineer, Business Analyst
  • Who Is This Programme For?
    Any specialization can be chosen regardless of background. The programme caters to: Engineers, Marketing & Sales Professionals, Freshers, Data Professionals, Domain Experts, Software & IT Professionals
  • Minimum Eligibility
    Bachelor’s Degree with minimum 50% or equivalent passing marks and minimum one-year work experience in relevant fields after graduation.
Syllabus

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

Programming Languages and Tools Covered

Executive PG Programme from IIIT Bangalore

Complete all the courses successfully to obtain this prestigious recognition from IIIT Bangalore.

  • Connect with a global network of accomplished IIITB Alumni
  • Widely recognised Executive PG Programme in Data Science
  • Network with Data Science professionals across all industries
Executive PG Programme from IIIT Bangalore
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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
  • Pre-Programme Preparatory Content (Year 1)
    • 4 Weeks
  • Data Toolkit (Year 1)
    • 14 Weeks
    • 2 Assignments
  • Machine Learning (Year 1)
    • 9 Weeks
    • 3 Assignments
  • Specialisation- Data Science Generalist (Year 1)
    • 22 Weeks
    • 5 Assignments
  • Specialisation- Deep Learning (Year 1)
    • 25 Weeks
    • 4 Assignments
  • Specialisation- Natural Learning Processing (Year 1)
    • 25 Weeks
    • 4 Assignments
  • Specialisation- Business Intelligence/Data Analytics (Year 1)
    • 25 Weeks
    • 9 Assignments
  • Specialisation- Business Analytics (Year 1)
    • 25 Weeks
    • 9 Assignments
  • Specialisation- Data Engineering (Year 1)
    • 27 Weeks
    • 11 Assignments
    Vishwa Mohan
    Karthikeyan Sankaran
    Sourabh Mukherjee
  • Additional IU Modules (Year 1)
    • Semester 3 (Year 2)
      • 6 Months
    • Semester 4 (Year 2)
      • 6 Months
    • 500+
      Hours of Content
    • 25+
      Case Studies and Projects
    • 20+
      Live Sessions
    • 25
      1:8 Coaching Sessions with Industry Experts
    • 14+
      Tools and Software

    Specialisations

    You can choose one of the 6 specialisation, based on your interest.

    • Data Science Generalist
    • Deep Learning
    • Natural Language Processing
    • Business Intelligence/Data Analytics
    • Business Analytics
    • Data Engineering
    • Topics Covered

      Data Science Generalist
      • 22 Weeks
      • 5 Assignments
      Tree Models + Boosting (Optional)
      Model Selection & General ML Techniques
      ML Lab I: Classification
      Principal Component Analysis
      Advanced Regression - I
      Advanced Regression - II and ML Lab II: Regression
      Text Analytics & Processing + Text-Based Predictive Modelling
      Basic Visualisation using Tableau
      Data Storytelling
      Data Modelling
      Advanced SQL - Week II
      Algorithm Analysis + Recursion
      Searching and Sorting (Divide and Conquer included)
      Data Structures - Sets, Dictionaries, Stacks, Queues
      Python - OOPS
      Python Weeklong Lab
      Capstone Project
      Tools Covered

      Project

      Capstone Project
      Solve an end-to-end real-life industry problem from a wide variety of domain...
      Learn More
    • Topics Covered

      Deep Learning
      • 25 Weeks
      • 4 Assignment
      Prof. G. Srinivasaraghavan
      Ujjyaini Mitra
      Mirza Rahim Baig
      Ankit Jain
      S Anand
      Tree Models
      Model Selection & General ML Techniques
      Principal Component Analysis
      Advanced Regression
      Advanced Regression Assignment
      Bagging and Boosting
      Time Series Analysis
      Telecom Churn Case Study
      Introduction to Neural Networks
      Neural Networks Assignment
      Convolutional Neural Networks - Introduction and Industry Applications
      Recurrent Neural Networks
      Gesture Recognition
      Capstone Project
      Tools Covered

      Project

      Capstone Project
      Choose from a range of real-world industry woven projects on advanced topics...
      Learn More
    • Topics Covered

      Natural Language Processing
      • 25 Weeks
      • 4 Assignment
      Prof. G. Srinivasaraghavan
      Ujjyaini Mitra
      Mirza Rahim Baig
      Srinath Srinivasa
      Tree Models
      Model Selection & General ML Techniques
      Principal Component Analysis
      Advanced Regression
      Advanced Regression Assignment
      Bagging and Boosting
      Time Series Analysis
      Telecom Churn Case Study
      Text Processing
      Feature Extraction and Modelling
      Assignment- Natural Language Processing
      Intro to DL
      NLP Industrial Applications
      Chatbot Case Study
      Capstone Project
      Tools Covered

      Project

      Capstone Project
      Choose from a range of real-world industry woven projects on advanced topics...
      Learn More
    • Topics Covered

      Business Intelligence/Data Analytics
      • 25 Weeks
      • 7 Assignment
      Chandrashekar Ramanathan
      Mirza Rahim Baig
      S Anand
      Data Modelling
      SQL Best Practices
      SQL Assignment: IMDb Movies
      Advanced Excel
      NoSQL Databases and Best Practices
      Introduction to Big Data and Cloud
      Hive and Querying
      Hive Case Study
      Visualisation using Tableau
      Sports Analytics - IPL Visualisation Assignment
      Visualisation using PowerBI
      Visualisation using Plotly
      Data Storytelling
      Plotly Case Study
      Capstone Project
      Tools Covered

      Project

      Capstone Project
      Choose from a range of real-world industry woven projects on advanced topics...
      Learn More
    • Topics Covered

      Business Analytics
      • 25 Weeks
      • 9 Assignment
      Mirza Rahim Baig
      Srinivas Raghavan
      S Anand
      Ujjyaini Mitra
      Tree Models
      Time Series Forecasting
      Retail-Giant Sales Forecasting Assignment
      Model Selection & General ML Techniques
      SQL Best Practices
      Advanced Excel
      Telecom Churn Case Study
      Structured Problem Solving using Frameworks
      Structured Problem Solving Assignment
      Operations Research
      Data Storytelling
      Operations Research Case Study
      Capstone Project
      Tools Covered

      Project

      Capstone Project
      Choose from a range of real-world industry woven projects on advanced topics...
      Learn More
    • Topics Covered

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

      Project

      Capstone Project
      Choose from a range of real-world industry woven projects on advanced topics...
      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...
      Learn More
    • Creditworthiness of Customers
      Learn how Predictive Analytics can be used to decide the creditworthiness of...
      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 ...
      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 co...
      Learn More
    • IMDb Movie Analysis
      Analyze movie data from the past hundred years and find out various insights...
      Learn More
    • Lead Scoring
      Learn how the knowledge of basic machine learning algorithms can be used to ...
      Learn More
    • Fraud Detection
      Decline fraud transactions on a credit card in real-time to minimize the los...
      Learn More
    • Retail-Giant Sales Forecasting
      Help a retail-giant to have a clear idea of how their sales will look like i...
      Learn More
    • Interactive Marketing Campaign Analysis
      Research and analyse data from a marketing campaign to gain valuable insight...
      Learn More
    The upGrad Advantage
    Strong hand-holding with dedicated support to help you master Data Science
    • Learning Support
      Industry Mentors
      • Receive unparalleled guidance from industry mentors, teaching assistants and graders
      • Receive one-on-one feedback on submissions and personalised feedbacks on improvement
      Student Support
      • Available all days 9 AM - 9 PM IST.
      • For urgent queries, use the Call Back option on the platform.
    • Q&A Forum
      • Timely doubt resolution by Industry experts and peers
      • 100% Expert-verified responses to ensure quality learning
      Expert Feedback
      • Personalised expert feedback on assignments and projects
      • Regular live sessions by experts to clarify concept related doubts
    • Industry Networking
      • Live sessions by experts on various industry topics
      • One-on-one discussion and feedback sessions with industry mentors

    upGrad Alumni

    Admission Process

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

    Programme Fee - 1st Year
    INR 3,50,000 (incl. taxes)
    No Cost EMI options available
      Programme Fee - 2nd Year
      Indicative Tuition Fees at IU - EUR 8,788*
      Living cost per annum in Germany - EUR 10,332
        Note-
        • *Indicative Tuition Fees includes enrollment and graduation fees.

        Empowering learners of tomorrow

        Over 10,000 students go to Germany to learn every year. Connect with our counselors to know how you can be next!

        How You Benefit From This Program
        • Master degree from a reputed German University
        • Opportunity to apply for 18 months Post-Study-Work visa after graduation
        • Save 20 Lakhs for an equivalent degree from Germany
        • Free German language course
        • Study in Europe's economic power house

        Student Reviews

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        Frequently Asked Questions

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