EMI options starting as low as INR 11,893 (Click to know more)
WELCOME SESSION March 30, 2023 CLASSES START April 6, 2023 Application Deadline: March 19, 2023
DURATION 40 Weeks Online
PROGRAMME FEE INR 2,04,999 + GST (Pay in 5 Instalments) View Payment Plan to know more Documents Required to Apply
ELIGIBILITY Minimum Graduate or Diploma Holder (10+2+3) in any discipline
WELCOME SESSION March 30, 2023 CLASSES START April 6, 2023 Application Deadline: March 19, 2023
DURATION 40 Weeks Online
PROGRAMME FEE INR 2,04,999 + GST (Pay in 5 Instalments) View Payment Plan to know more Documents Required to Apply
To ensure that holiday plans on the occasion of Christmas and New Year are not interrupted, no new modules will be released during this time and participants will receive a 2-week extension for submitting assignments. Participants will continue to have access to course material on the platform during this time.

Why Learn Data Science, ML and AI?

  • 40.2%

    The global AI market is predicted to expand at a CAGR of 40.2% from 2021 to 2028.

    (Grandview Research)
  • 98%

    Almost 98% of analytics jobs advertised in India are full-time, signifying the strengthening of the Indian analytics hiring market

    (Analytics India Magazine, 2020)
  • ₹25 to ₹65 lakh

    Data science professionals with 3-10 years of experience get annual salaries in the range of ₹25 lakh to ₹65 lakh. More experienced people can command annual salaries upwards of ₹1 crore.

    (Talent Trends Report 2021 by Michael Page India, 2021)

Programme Overview

Technologies driven by data science (DS), machine learning (ML) and artificial intelligence (AI) have transformed industries and everyday life. The possibilities for DS, ML & AI applications are virtually unlimited and sought after in practically every industry segment.

That's why global organisations are actively recruiting professionals with specialized skills and proficiencies needed to develop future DS, ML & AI technological innovations.

As part of the programme, you will also get access to Emeritus Career Services, which empowers you to manage your career proactively.

Who is this Programme for?

  • Tech professionals looking to transition to a Managerial role and effectively lead end-to-end DS, ML & AI projects and solve complex business problems

    Titles: Product Manager, Project Manager, Operations Manager, Marketing Manager, Technical Lead, Analyst, AI Expert, ML Engineer, ML Scientist, AI Application Engineer, AI Research Scientist, AI Data Analyst
  • Business Heads and C- Suits who want to leverage the knowledge of the latest technology DS, ML & AI to make better strategic business decisions
  • Consultants who are looking to build their expertise in DS, ML & AI for better client management
  • Entrepreneurs and Small Business Owners who are looking to restructure their business strategy by incorporating DS, ML & AI into their products/applications

Programme Highlights

55 Hours
of Recorded Videos

15+
Assignments* and Discussions

4 weeks
of Capstone Project

10+
Office Hours with
Industry Experts

Note: - The final number of quizzes, assignments and discussions will be confirmed closer to the programme start.
- *Assignments are graded either by industry practitioners who are available to support participants in their learning journey and/or by the Emeritus grading team

Programme Highlights

55 Hours of Recorded Videos

15+ Assignments* and Discussions

4 weeks
of Capstone Project

10+
Office Hours with
Industry Experts

Note: - The final number of quizzes, assignments and discussions will be confirmed closer to the programme start.
- *Assignments are graded either by industry practitioners who are available to support participants in their learning journey and/or by the Emeritus grading team

IIM Kozhikode Executive Alumni Status

On successful completion of the programme, participants will be eligible for the prestigious IIM Kozhikode Executive Alumni Status. These participants will subsequently receive the alumni registration details from IIM Kozhikode.

Note: The Executive Alumni benefits are subject to the discretion of IIM Kozhikode.

Learning Outcomes

  • Learn how to implement data science, machine learning and artificial intelligence techniques and devise cutting-edge solutions to real-life problems within your organisation
  • Develop a comprehensive understanding of DS, ML & AI concepts and identify the best models to fit various business situations
  • Interact and collaborate with industry experts to understand the technical and business applications of DS, ML & AI
  • Gain hands-on learning in identifying, defining, designing, implementing and monitoring DS, ML & AI projects

Emeritus Career Services

  • Career Management Modules on:
    • Building an Impressive Resume & Cover Letter
    • Building an Impressive LinkedIn Profile
    • Navigating Job Search
    • Interview Preparation
  • Job placement assistance from partner companies are published, applied to, and tracked to success via an online platform

Please note:

  • This service is available only for Indian residents enrolled into select Emeritus programmes.
  • IIM Kozhikode or Emeritus do NOT promise or guarantee a job or progression in your current job. Career Services is only offered as a service that empowers you to manage your career proactively. The Career Services mentioned here are offered by Emeritus. IIM Kozhikode is NOT involved in any way and makes no commitments regarding the Career Services mentioned here.

Past participants of Emeritus work at

Compony Logos

Note: *All product and company names are trademarks or registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.

Primers Covered

Note: These primers are optionally covered in this programme. While you are encouraged to gain knowledge about them, you will not be evaluated for these in the final exam.
*All product and company names are trademarks or registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.

Programme Modules

  1. Data Analytic Thinking
  2. Data Analysis with Excel
  3. Data Analysis with Python
  4. Types of Data Analytics
  5. Data Modelling: Predictive Modelling
  6. Data Modelling: Fitting a Model
  7. Data Clustering: Introduction
  8. Data Clustering: Hierarchical Clustering
  9. Association and Co-occurrences: Items that go together
  10. Association and Co-occurrences: Measuring Surprises
  11. Project Brief and Course Summary
  1. Machine Learning Concepts
  2. Probability and Statistics in Machine Learning
  3. Data Preparation
  4. Model and Model Building
  5. Python for Machine Learning - I
  6. Python for Machine Learning - II
  7. Supervised Learning Techniques
  8. Regression
  9. Advanced Classification Techniques
  10. Ensemble Methods for Classification
  11. Advanced Regression Methods
  12. Unsupervised Learning – Clustering
  1. Artificial Intelligence (AI): An Overview
  2. Automation and AI-based Automation
  3. Neural Networks
  4. Deep Learning: Concepts and Applications
  5. Reinforcement Learning
  6. NLP and Text Analytics
  7. Conversational Systems
  8. Recommender Systems
  9. Evolutionary Computing Methods for Classification and Clustering
  10. Generative Adversarial Networks
  11. AI: Opportunities and Implementation Strategy
  12. Project Brief and Course Summary

Note: Modules/ topics are indicative only, and the suggested time and sequence may be dropped/ modified/ adapted to fit the total programme hours.

Programme Directors

Prof. Anjan Kumar Swain, PhD

Professor,

Information Systems

Read More

Professor Swain has a PhD from the University of Sheffield, United Kingdom. His research interests include managerial implications of state-of-the-art methods of digital transformation, blockchain technology, artificial intelligence and other upcoming technologies. ... Read More His publications are in the fields of mathematical modelling, Space Robotics, AI-based methods for decision-making, and multi-criteria decision-making, amongst others. Read Less

Prof. M.P. Sebastian, PhD

Professor,

Information Systems

Read More

Professor Sebastian received both his masters degree and PhD from the Indian Institute of Science, Bangalore. His research interests include artificial intelligence, machine learning, cybersecurity, healthcare ICT etc. ... Read More He has guided many PhD candidates and has published research papers in journals such as Information System Frontiers, Information and Computer Security, Health Policy and Technology, Computers and Electrical Engineering, Knowledge and Information Systems, among others. Read Less

Programme Certificate

Upon successfully completing the programme with a minimum 70% score, you will be awarded a certificate in Data Science, Machine Learning and Artificial Intelligence from IIM Kozhikode.

Sample Certificate

Note: All certificate images are for illustrative purposes only and may be subject to change at the discretion of IIM Kozhikode.

Student Loan Available

Below EMI plans are available for the Programme Fee: INR 2,04,999 + GST

Maximum Loan Amount Tenure (months) EMI
INR 2,41,899 24 INR 11,893

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: 12/18/24/30/36/42/48
    Eduvanz: 12/24/36/48

Early applications encouraged. Limited seats are available.

View Payment Plan
Special Corporate Enrolment Pricing
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Application Deadline Last Date: March 19, 2023

The Learning Experience 

What is it like to learn with the learning collaborator, Emeritus? 

More than 300,000 professionals globally, across 200 countries, have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 percent of the respondents of a recent survey across all our programs said that their learning outcomes were met or exceeded. All the contents of the course would be made available to students at the commencement of the course. However, to ensure the program delivers the desired learning outcomes, the students may appoint Emeritus to manage the delivery of the program in a cohort-based manner during the course period the cost of which is already included in the overall Course fee of the course.

A dedicated program support team is available 7 days a week to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience.

In collaboration with Emeritus

Erulearning Solutions Private Limited (a company incorporated in India) is a subsidiary of Eruditus Learning Solutions Pte Ltd (a company incorporated in Singapore), and operates under the brand name of 'Eruditus' and 'Emeritus'.

DOWNLOAD BROCHURE Last Date to Apply: March 19, 2023