iimjobs

.com
Chat

iimjobs
jobseeker Logo
Now Apply on the Go!
Download iimjobs Jobseeker App and get a seamless experience for your job-hunting
Home Courses ISB AMPBA | Advanced Management Programme in Business Analytics

ISB AMPBA | Advanced Management Programme in Business Analytics

Accelerate Your Career in Analytics & Data Science with ISB's AMPBA

Course Snapshot

  • FeeINR 10,85,000/- + GST
  • Work Experience2 - 30 Years
  • Duration15 Months
  • Delivery MethodBlended- Online

Course Detail

Programme Overview

AMPBA is designed to upskill business professionals to make business decisions by leveraging AI and Analytics. The programme will do a deep dive into the methods and applications of business analytics using real case studies. The programme caters to the needs of busy executives to help maximise learning while minimising disruption to professional responsibilities.

Students will learn to build analytical models using Machine Learning and Deep Learning concepts. AMPBA enables the participants to graduate with fluency in data analytics, manage a team of data scientists, and be future leaders in providing solutions to business problems.

Programme Benefits

  • Learn from world-class faculty
  • Gain practitioner insights from industry experts
  • Apply lessons with relevant industry case studies
  • Get practical experience with a Capstone project
  • Learn from experienced peer group
  • Become a member of the vast ISB Alumni network
  • Experience the state-of-the-art campuses at ISB that provide an environment conducive to learning and gaining real-world skills

Course Schedule

  • Course Duration: 12 Months + 3 Months of Capstone Project.

Desired Candidate Profile

  • Academic Qualification: The applicant must have a Bachelor's or Master's Degree in Engineering, Technology, Statistics, Mathematics, Science, or equivalent qualification with exposure to mathematics and programming.
  • Work Experience: The applicant must possess a minimum of 2 years of full-time work experience as on the programme start date.

Course Modules

Bootcamp modules

  • Introduction to Python
  • Introduction to R-programming
  • Introduction to SQL
  • Introduction to Linear Algebra

Foundation term

  • Introduction to Probability
  • Descriptive Statistics using R
  • Data Collection & Pre-Processing
  • Data Visualization

TERM 1

  • Optimisation
  • Data Engineering
  • Machine Learning: Unsupervised Learning 1
  • Statistical Analysis 1
  • Big Data Management

TERM 2

  • Machine Learning: Supervised Learning 1
  • Machine Learning: Unsupervised Learning 2
  • Advanced Optimisation & Simulation
  • Statistical Analysis 2
  • Contemporary Topics 1

TERM 3

  • Deep Learning
  • Advanced Statistical Analysis
  • Digital & Social Media Analytics
  • Machine Learning: Supervised Learning 2
  • Contemporary Topics 2

TERM 4

  • Financial Analytics
  • Forecasting Analytics
  • Marketing & Customer Analytics
  • Natural Language Processing
  • Foundation Project

TERM 5

  • Applications of AI
  • LLMs & Generative AI
  • Pricing & Demand Analytics
  • Supply Chain & Retail Analytics

Career advancement workshops

  • Business Communication
  • Report Writing
  • Profile Building

Capstone project

For a better understanding of programme structure, curriculum and programme requirements, please download the brochure.