MBA (Business Intelligence and Data Analytics)

Program Code 101287

Campus Noida

Institute Amity International Business School

University Amity University Uttar Pradesh

Eligibility For NS (Non Sponsored) ...

Duration 2 Years

Selection Process Personal Interview

  • Program Fee (Rs. in Lacs)
  • 1st Year Non Sponsored Semester 3.36
  • 1st Year Sponsored Semester Fee 5.04
Admission Not open

Course Structure

1st Year

Semester 1

  • Accounting for Managers [Core Courses]
  • Applications of Disruptive Technologies in Business [Core Courses]
  • Introduction to R Programming [Core Courses]
  • Managerial Economics [Core Courses]
  • Marketing Management [Core Courses]
  • Organizational Behavior [Core Courses]
  • Statistics for Management [Core Courses]
  • Professional & Business Communication [Business Communication]
  • Foreign Business Language
  • Open Elective Courses
  • Outdoor Activity Based Courses

Semester 2

  • Cyber security & Risk Management [Specialisation Elective Courses]
  • Human Resource Management [Specialisation Elective Courses]
  • Python :Basics and application [Specialisation Elective Courses]
  • Applied Accelerated Artificial Intelligence [MOOC (Amity On - line / NPTEL / SWAYAM / Future Learn)]
  • Artificial Intelligence: Knowledge Representation And Reasoning [MOOC (Amity On - line / NPTEL / SWAYAM / Future Learn)]
  • Business Research Methods [Core Courses]
  • Business Analytics and Modelling [Core Courses]
  • Financial Management [Core Courses]
  • Operations Management [Core Courses]
  • Predictive Analytics using R [Core Courses]
  • Country Report [SAP Courses (Optional)]
  • Managing Cultures [SAP Courses (Optional)]
  • Trends, Management & Environment of Commercial Research [SAP Courses (Optional)]
  • Cognitive Analytics & Social Skills for Professional Development [Behavioural Science]
  • Foreign Business Language
  • Open Elective Courses
  • Outdoor Activity Based Courses

2nd Year

Semester 3

  • Summer Internship [Supervised Independent Learning/ Non-Teaching Credit Courses]
  • Business Intelligence and Data Analytics [Specialisation Elective Courses]
  • Data Mining and Data Warehousing [Specialisation Elective Courses]
  • Digital Innovation, Transformation and Creativity [Specialisation Elective Courses]
  • Digital Marketing [Specialisation Elective Courses]
  • Enterprise Cloud Computing [Specialisation Elective Courses]
  • Fundamentals of Data Science [Specialisation Elective Courses]
  • Internet of things Fundamentals [Specialisation Elective Courses]
  • Supply Chain Management [Specialisation Elective Courses]
  • Text Mining in R [Specialisation Elective Courses]
  • Data Visualization: Tools and Techniques [Core Courses]
  • Country Report [SAP Courses (Optional)]
  • International Management Practices [SAP Courses (Optional)]
  • Research Methods and Professional Writing in Global Environment [SAP Courses (Optional)]
  • Professional Ethics and Social Responsibility for Sustainability [Professional Ethics]
  • Foreign Business Language
  • Open Elective Courses
  • Outdoor Activity Based Courses

Semester 4

  • Dissertation [Supervised Independent Learning/ Non-Teaching Credit Courses]
  • Artificial Intelligence & Machine Learning Applications [Specialisation Elective Courses]
  • Block chain for Business [Specialisation Elective Courses]
  • Business Process and Enterprise Management [Specialisation Elective Courses]
  • Cyber security & Risk Management [Specialisation Elective Courses]
  • Deep & Reinforcement Learning [Specialisation Elective Courses]
  • Supply Chain Analytics [Specialisation Elective Courses]
  • Social Media and Social Network Analytics [Core Courses]
  • Country Report [SAP Courses (Optional)]
  • Managing Cultures [SAP Courses (Optional)]
  • Trends, Management & Environment of Commercial Research [SAP Courses (Optional)]
  • Foreign Business Language
  • Open Elective Courses
  • Outdoor Activity Based Courses