★ Approved by the CCE Committee, IISc Bengaluru ★ Est. 1975
CCE Home CCE-PROFICIENCE COURSES Prescriptive Analytics
CCE-PROFICIENCE COURSES · JAN – MAY 2026

Online Course on

Prescriptive Analytics

3:0 CREDITS ·JAN – MAY 2026

A structured online programme from IISc introduces the concepts and techniques of prescriptive analytics for data-driven decision making. It focuses on methods that combine data analysis, optimization, and machine learning to recommend optimal actions in real-world business and engineering problems. The course also highlights practical applications and case studies to support effective planning and strategic decisions.

Online IISc Grading Certificate Sat · 7-10 PM Dr. M. Mathirajan, IISc
3:0
CREDITS
₹18,054
TOTAL FEE
Jan – May 2026
DURATION
Online
MODE
COURSE DETAILS
Prescriptive Analytics
(Jan – May 2026)
Start Date17 Jan 2026
DurationJan – May 2026
ModeOnline
TimingsSat 7-10 PM
Credits3:0
Applications are now closed Download Brochure

Course at a Glance

Online
💻
SYNCHRONOUS CLASSES
17 January 2026
📅
CLASS START DATE
Sat
🕐
7-10 PM
3:0
🎓
CREDITS
CERTIFICATE
📜
IISc Grading Certificate
₹18,054
💰
TOTAL (INCL. GST)

Know the Course Instructor

Dr. M. Mathirajan

Dr. M. Mathirajan

CHIEF RESEARCH SCIENTIST

His research focuses on mathematical and heuristic optimization in industrial engineering, operations management, logistics and supply-chain management, scheduling, and container terminal management.nnHe obtained his PhD and MS in Engineering from IISc and an MSc in Mathematics from Madurai Kamaraj University. Prof. Mathirajan has contributed to several research publications and projects related to operations research and optimization methods for industrial and transportation systems.

Dept. of Management Studies (MS), IISc Bengaluru

Objectives of the Course

Provide business practitioners and interested learners with a selected set of Management Science and optimization techniques.

Discuss the fundamental concepts, methods, and models needed to understand prescriptive analytics.

Enable implementation of these techniques in the era of Big Data.

Course Syllabus

01

Introduction to Business Analytics

02

Linear/Integer/Non-Linear Optimization

03

Optimization of Network Models

04

Dynamic Programming

05

Introdcution to Heuristic Programming

06

Goal Programming

07

Selected Multi-Attribute Decision Making Methods

08

Monte Carlo Simulation

09

Prescriptive Analytics tools for solving business optimization problems

10

Case studies from Business, Industry, and Government using LINDO, LINGO, CPLEX, and PuLP optimization packages

Who Can Apply & Who Can Benefit?

Who Can Apply?

  • BE / BTech, ME / MTech students and graduates
  • Master’s degree holders in Business Administration, Management, Operations Research, Computer Science, Computer Applications, Mathematics, Statistics, Commerce, or Economics.
  • 3rd year and final year students from the above disciplines are also eligible to apply

Who Can Benefit?

  • Students and researchers interested in analytics and optimization
  • Business and management professionals working with data-driven decision making
  • Engineers and analysts involved in operations, logistics, and supply chain management
  • Faculty members and researchers in management, analytics, and operations research

Course Fee

Fee Breakup
Jan – May 2026
Course Fee ₹15,000
Application Fee ₹300
GST @ 18% ₹2,754
Total (incl. GST) ₹18,054

Class Schedule

DATE
17 Jan 2026
CLASS START DATE
DAYS
Sat
DAYS OF CLASS
TIME
7-10 PM
CLASS TIMINGS
MODE
Online
MODE OF INSTRUCTION
DUR
Jan – May 2026
COURSE DURATION

Reference Books

1
Operations Research: Applications and Algorithms
Wayne L Winston
2
An Introduction to management Science: Quantitative Approaches to Decision Making
Anderson, Sweeney and Williams
3
Business Analytics: The Science of Data-Driven Decision Making
U Dinesh Kumar
4
Operations Research – Principles and Practice
Ravindra A., Philips D.T., and Solberg J.J

Semester Runs

Jan-May 2026
– 01 Jun 2026
18 Enrolled
15 Certified
Completed

Ready to Enroll?

Apply online at iisc.online · New batches every semester

Applications are now closed Download Brochure