PG Program

MBA – Business Intelligence & Analytics (Integrated with IoA, UK) | Jain University

Approved by

UGC Approved University
UGC
NAAC A Grade University
NAAC
NIRF
AICTE Approved University
AICTE
DEB
Apply for MBA – Business Intelligence & Analytics (Integrated with IoA, UK) | Jain University

Overview

This specialization accredited by the Institute of Analytics (IoA), UK, in Business Intelligence and Analytics prepares the students to thrive in a data-oriented business world. IoA is a globally recognized professional body for analytics and data science professionals. The program meets the highest academic standards and allows an exemption from membership requirements to have access to the IoA resources and information services. The program is designed to enable individuals to help organizations understand their customers, forecast future demands, and use big data to make effective decisions. In addition to managerial skills, the program teaches industry-standard analytics software and the mathematical skills required to gain insights from various data sources. Input from industry experts ensures the course content meets today’s business needs. The specialization help students jumpstart their careers in various roles and responsibilities such as business intelligence manager, business intelligence developer, business intelligence analyst, data scientist, data analyst, etc.

Elective Highlights

  • Enables students to achieve the IoA Associate Membership upon successful completion
  • This specialization enables students to develop advanced technical and analytical skills to leverage business intelligence and machine learning in business
  • The students are introduced to different strategic implications of applying business intelligence and analytical techniques to support the decision-making process in an organization
  • Students learn and practically implement programming languages and technology applications to develop analysis and solutions to address the needs of an organization and its stakeholders
  • The curriculum trains the students exhaustively in BI and analytics domains such as database systems, machine learning, python, R, web data extraction and analytics, business intelligence reporting, dashboarding, etc.
  • Industry-aligned curriculum that delivers technical excellence and supplements professional skills
  • Analyze problems and propose solutions in real-world situations as part of the master thesis

Course Duration

2 years

Course eligibility

10+2+3 year

First year Fee

1,00,000/-

Eligibility

Pass in an Undergraduate (Bachelor) Programme of a minimum duration of Three (3) years in any stream from a UGC recognized University, with a minimum aggregate of 50 % or an equivalent letter/numerical grade. A relaxation of 5% shall be given to SC/ST candidates.

Candidates who are in the final semester of the Bachelor Programme are also eligible to apply.

Course Structure

First Semester
  • Principles of Economics & Markets
  • Managerial Effectiveness & Ethics
  • Accounting & Finance
  • Organizational Behavior & Human Resources Management
  • Quantitative Techniques & Analytics
Second Semester
  • Entrepreneurship
  • Marketing Management & Research
  • Analytics Language for Managers
  • DBMS for Managers
  • Mathematical Foundation for Machine Learning
Third Semester
  • Business Environment & Strategy
  • Operations Management
  • Introduction to Business Intelligence
  • Data Warehousing
  • Data Mining for Intelligence
  • Open Elective Course
Fourth Semester
  • Analytics in Management
  • Web Data Extraction and Analytics
  • Anomaly Detection Techniques
  • BI Reporting for Managers
  • Cross-functional Elective Course
  • Master Thesis / Project

* Course matrix subject to change based on emerging industry trends and academic requirements

Value Added Programs on LinkedIn Learning

  • Learning Excel 2019 by David Rivers
  • Communication Foundations by Tatiana Kolovou and Brenda Bailey-Hughes
  • Leadership: Practical Skills by Chris Croft
  • Financial Modeling and Forecasting Financial Statements by Kay Stice and Jim Stice 
  • Financial Analysis of Projects by Daniel Stanton
  • AI in Fintech Essential Training by Michael McDonald

Fees Structure

Semester-wise Fee PlanYear-wise Fee PlanTotal Course Fee Plan
One-time Registration Fee: Rs.2000/-
Examination Fees (Per Year): Rs. 3000/-
I Sem      Rs.50,000

 

II Sem      Rs.50,000

 

III Sem      Rs.50,000

 

IV Sem      Rs.50,000

I Year      Rs.100,000

 

II Year      Rs.100,000

Total      1,90,000/-

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