IIM Lucknow Emeritus
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OVERVIEW

In today's business landscape, technological developments have led to digitising everything around us, producing unlimited data. Across sectors and businesses, data science has established itself as a pre-requisite for developing effective data-driven decisions and insightful business strategies. The Executive Programme in Data Science from IIM Lucknow, provides a cutting-edge curriculum with an emphasis on the tools and techniques used for handling, managing, analysing and interpreting data. This intensive nine-month programme is delivered via engaging live online sessions and a three-day on-campus immersion at the IIM Lucknow campus. Joining this programme will help you build a robust foundation in practical business decision-making using statistics and in-demand data science tools and techniques using Excel and R.

KEY BENEFITS

  • The managerial understanding of the tools & techniques used in Data Science and Machine Learning
  • The skills to make data-driven, real-time, day-to-day organisational decisions
  • An understanding of the concepts of statistics required to make strategic and effective business decisions
  • Skills to implement machine learning algorithms
  • Skills and knowledge required to manage data science and analytics teams at your organisation
  • An in-depth understanding of data structure and data analysis

CERTIFICATE

Executive Programme in Data Science - Certificate Click to view certificate

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    • STARTS ON

      30 March 2021

    • DURATION

      9 Months
      (Live Online & On-campus Immersion)

    • PROGRAMME FEE

      INR INR 1,75,500 + GST (Early Bird Fee till Feb 17, 2021)
      INR 1,95,000 + GST (Standard Fee from Feb 18, 2021)

    Apply Now

    Who is this Programme For

    Data has rightfully emerged as the new global currency and becoming industry-ready in data science will make you a sought-after professional across sectors. Advance your data science career with an industry-recognised certificate and be eligible for the Executive Alumni Status from one of India’s leading B-Schools.


    This programme is ideal for:


    • Managers and team leads interested in improving their analytical skills and effectively managing data science and analytics projects
    • Early-stage professionals keen to learn and enhance their existing capabilities in data science and its applications
    • Business and data analysts who want to transition to data science/ analytical roles or projects and become more efficient in data-driven decision-making
    • Consultants looking to enhance their data science and analytics capabilities to develop breakthrough solutions for their clients
    • Senior management professionals interested in building their data science and analytics proficiency and create a data-driven culture at their organisation
    • Entrepreneurs and business owners who want to leverage data science capabilities as a competitive advantage and scale their business growth
    • ELIGIBILITY: Graduates with minimum 5 years of work experience. Mathematical aptitude is preferred

    Programme Modules & Faculty

    syllabus

    DATA SCIENCE BASICS

    • Basics
    • Data Science Life Cycle
    • Motivation and Applications
    • Cloud Technologies

    DESCRIPTIVE ANALYTICS

    • Data Visualisation
    • Probability
    • Distributions

    DATA COLLECTION AND PREPARATION

    • Web Data
    • Data Cleaning
    • Handling Missing Data
    • Normalisation

    PREDICTIVE ANALYTICS

    • Hypothesis Testing
    • Regression Techniques

    MACHINE LEARNING

    • Machine Learning
    • Clustering
    • Factor Analysis
    • Decision Tree
    • NLP

    PRESCRIPTIVE ANALYTICS AND FORECASTING

    • Optimisation
    • Simulation
    • Forecasting
    • Nowcasting

    BIG DATA

    • Data Scraping
    • Data Storage
    • Data Processing

    COGNITIVE ANALYTICS

    • Artificial Intelligence
    • Deep Learning
    • RNN
    • CNN
    • Recommender Systems

    PROGRAMME DIRECTORS

    Prof. Sonia Singh
    Prof. Sonia Singh

    Professor,

    Decision Sciences

    Prof. Sonia Singh teaches optimisation, statistics and managerial mathematics. She has also been a Visiting Associate Professor at NTU, Singapore. She has a PhD (Operations Research) from IIT Delhi and an M.Sc (Applied Mathematics) from IIT Roorkee. Her research interests include transportation & assignment problems, network flow problems, and multi-criteria decision-making problems, among others.

    Prof. Gaurav Garg
    Prof. Gaurav Garg

    Associate Professor,

    Decision Sciences

    Prof. Gaurav Garg teaches quantitative analysis for management, business statistics, and advanced data analysis. He has a PhD, M.Phil, and M.Sc in Statistics. His research areas include linear models, measurement error models and restricted regression.

    Programme Fee

    Dates Length Location Tuition Fees
    March 30, 2021 9 Months Live Online & On-campus Immersion
    Live Online Sessions: 3 Hours, Twice a Week, Saturday & Sunday - 3:30 PM to 6:30 PM    		 INR 1,75,500 + GST (Early Bird Fee till Feb 17, 2021)
    INR 1,95,000 + GST (Standard Fee from Feb 18, 2021)
    Deadline Application Fee
    Round 1 Feb 17, 2021 INR 3,000 + GST
    Round 2 Mar 19, 2021 INR 3,000 + GST
    Remarks Instalment Amount
    Instalment 1 Within 7 days of selection INR 40,000 + GST
    Instalment 2 Apr 6, 2021 INR 70,000 + GST
    Instalment 3 Jul 26, 2021 INR 65,500 + GST (Early Bird Fee)*
    INR 85,000 + GST (Standard Fee)

    Student Loan Details

    Loan Amount Available Tenure (months) EMI
    INR 2,30,100 36 INR 8,507

    Note:

    • The above EMI’s are indicative. The EMI’s offered by each of the loan providers might vary from the above figures, depending upon tenure and loan amount to be disbursed.
    • Other EMI tenures available (Months):
      Propelld: 6/12/18/24/30/36/42/48
      Eduvanz: 12/24/36/48

    Please visit Students Loans and Financing for details on how to avail a student loan.

    SYSTEM REQUIREMENTS

    SYSTEM REQUIREMENTS TO ATTEND A LIVE ONLINE CLASSES
    This programme includes live online classes. To attend a live online class you will need to have a PC/Laptop/Mac with

    • Speakers and microphone: built-in or a USB plug-in or wireless Bluetooth
    • Webcam: built-in or USB plug-in
    • Processor: with Dual Core 2Ghz or higher (i3/i5/i7 or AMD equivalent)
    • RAM: 4 GB or higher
    • OS: Either MacOS 10.7 or higher OR Windows 8 or higher
    • An internet connection: Minimum bandwidth of 3.0 Mbps (up/down)
    • Browser: IE 11+, Edge 12+, Firefox 27+, Chrome 30+
    • Zoom software client installed on your PC/Laptop/Mac

    We use the Zoom software application to conduct live online classes. Zoom works on a variety of PCs/Laptops/Mac systems and also on phones and tablets. You can join your live online class from a phone or tablet if it supports the Zoom client. We recommend that you attend classes from a PC/Laptop/Mac.