MBA in Business Analytics and AI

MBA in Business Analytics and AI

Program Overview

The core of the MBA Business Analytics and AI program at Avantika University is to develop analytical skills essential for dissecting complex management problems and drawing inferences that cater to every level of a business organization. The course ensures that students gain hands-on experience in data analytics, enabling them to discover underlying business patterns. Students will learn to manage large datasets with ease, develop proficiency in coding, and master essential AI methodologies and technologies. They will be equipped to derive data-driven insights using statistical analysis, data aggregation, predictive analytics, data warehousing, data visualization, and data mining for the collection, categorization, analysis, and presentation of business data. The program aims to enhance managerial practices by instilling strong numerical aptitude, advanced statistical knowledge, and decision science expertise. These skills will prepare students for diverse career roles, including Chief Data Officer, Business Analytics Specialist, Manager of Business Analytics, Operations Analyst, Financial Analyst, Supply Chain Analyst, and Research Analyst.

Key Details

  • Range of
    Courses

  • Choice of
    Electives

  • Two-year
    (4 semesters)

  • Project-Based
    Learning

  • Full-time
    program

  • Integrated cross-
    disciplinary approach

Last Date To Apply :
30 June 2025

Course Duration

2 Years

Harish Bapat

Program Coordinator

Harish B. Bapat is resourceful and innovative professional with 27+ years of academic career producing teaching experience.He is a Postgraduate in Management and Law from the prestigious Devi Ahilya University, Indore (M.P.). He did his Ph.D. in Management from IMS, DAVV, and FDP from IIM (Indore). His expertise is in Teaching, Administration & Corporate Communication. His experience includes Strategic Planning, Marketing & Branding, T&P, HR, and holding senior strategic positions in the organization. He is recognize for teaching excellence based on technical research and design fundamentals. Efficient in the case and skills-based teaching methodology in the classroom and e-learning. Prof. Bapat authored many case studies and published patents and research papers in Scopus and other reputed Journals. He is a recipient of Awards and Honours and a prolific author of Management books.His Case study on Tata's Nano, was among the top four case studies selected from all over India. He has conducted frequent workshops and faculty development programs at various Management & Professional Education Institutes. He is also a legal consultant in company and NI matters and NISM certified investment advisor.

Eligibility

  • Graduate from any recognized university/institution
  • 50% aggregate in all subjects
  • A minimum of 3 years of full-time working experience after graduation in an executive, managerial, professional or entrepreneurial position in a registered firm, company, industry, educational institution, government, or autonomous organization
  • Experience shall be determined as on the 1st of April of the year of admission.

Program Curriculum

Sr. No Course Code Course Name Credits
1 Financial Reporting and Analysis 4
2 (MOOC) 4
3 Cost and Management Accounting 4
4 Business Statistics and Research Methodology 4
5 Minor Project 4
6 Leadership & Change Management 4

Total

24

Sr. No Course Code Course Name Credits
1 Human Resource Management (MOOC) 4
2 Operations Research 4
3 Corporate Governance and Legal aspects of Business 4
4 Live Project 4
5 Crisis Management & Decision-Making 4

Total

20

Sr. No Course Code Course Name Credits
1 Elective 1 4
2 Elective 2 4
3 Elective 4 (MOOC) 4
4 Summer Internship 6

Total

18

Sr. No Course Code Course Name Credits
1 Elective 6 4
2 Capstone/ Internship 12
3 Elective 6 4

Total

20

Career Prospects

Transferable Skills

Technical Skills

Specializations

Project Management Business Analytics and AI Finance
Project Risk Management Introduction to Business Analytics Security Analysis & Portfolio Management
Project Quality Management Introduction to Python Marketing of Financial Product & Services
Project Planning Data Management and SQL Banking & Insurance Management
Project Identification and Selection R Programing Corporate Restructuring
Project Execution and Control Data Analytics Derivatives & Risk Management
Project Performance Measurement Big Data With HADOOP Merchant Banking & Financial Services
Project Management Information System Application of Analytics in Business Business Intelligence & Financial Analytics
PERT and CPM AI & ML for Business Behavioral Finance and Wealth Management
Marketing Human Resource Operations Management
Customer Relationship Management Human Resource Information System Operations Strategy
Marketing of Financial Product & Services Counselling & Negotiation Process Management
Consumer Behavior Performance Management Quality Management
Product and Brand Management Training & Development Logistics and Inventory Management
Integrated Marketing Communication HRD Audit Lean and Six Sigma
Lean and Six Sigma Organisational Development Enterprise Resource Planning (ERP)
Business Intelligence & Marketing Analytics Business Intelligence & HR Analytics Technology in Operations
Distribution Channel Management International HRM Strategic Supply Chain Management

Faculty

Our faculty combine their academic excellence and real-world experience to create a joyful and collaborative learning environment, guiding the students towards their goals.

Our esteemed cadre of faculty members embodies a wealth of knowledge and dedication to academic excellence. Our diverse team of educators fosters intellectual curiosity and growth, guiding students toward their fullest potential with passion and expertise across a spectrum of disciplines.

Harish Bapat

Professor and Dean

Teaching, Administration

Masuma Mehta

Associate Professor

Strategic Finance

Ankur Kumar Rastogi

Associate Professor

Marketing

Gaurav Bagra

Associate Professor

Finance

Prachi Gupta

Assistant Professor

Management

Shilpi Upadhyay

Assistant Professor

School of Management

Kshamaheeta Trivedi

Academic Associate

Management

Program Fee

Payment Option Amount Payment Schedule
Installment Plan 75,000
75,000		 First Installment (Due at Admission)
Second Installment (Due mid-semester)
Total (Installments) 1,50,000 -
One-Time Payment 1,35,000 Payable at the time of admission

75,000 breakup
Tuition Fees- 50,000   |   Development Fees- 9,000   |   University Fees- 16,000