CURRICULUM

  • The programme, co-prepared by IIM Amritsar and IIT Ropar includes a mix of courses from the areas of Algorithms and Data Structures, Statistics, Data Analytics, Information Systems, and Management.
  • The two-year program will be delivered across four semesters. It will be co-taught by faculties from both the host institutes and the students will be hosted at each institute for a period of one year (first year in IIT Ropar and second year in IIM Amritsar).
  • The coursework consists of core and elective courses along with the Summer Live project, and Final Capstone Project.
  • The Summer Live Project (SLP) will be an option for students to pursue a project either with an academic faculty (of reputed institutes in India or abroad) or with a firm during the break between the second and third semesters. The summer live project has to be attained by the students themselves.
  • The Final Capstone Project will be pursued in the fourth semester along with the coursework. The project will be guided by one faculty from IIM Amritsar and one faculty from IIT Ropar. The successful completion of the project is mandatory to complete the program. The Semester-wise break-up of the mandatory (core) subjects offered are given as follows:

First Year

  Semester 1

  Semester 2

  Programming and Data Structures   Applied Multivariate Analysis
  People Management (Introduction)   Computer & Information Systems
  Matrix Computations  Foundations of Data Science
  Managerial Communication Skills  Data Mining for Business Applications
  Marketing Management (Introduction)  Oprations and Supply Chain Management (Introduction)
  Database Management Systems  Financial Statements and Management (Introduction)
  Fundamentals of Statistics  Fundamentals of Operations Research

Second Year

  Semester 3

  Semester 4

  Time Series Analysis and Econometrics    Final Capstone Project
  Big Data Analytics and Visualization   Legal Aspects of Business
  Predictive Analytics  Electives
  Applied Artificial Intelligence and Machine Learning
  Strategic Management (Introduction)
  Business Research Methods
  Advanced Operations Research
  Electives