Diploma in Banking and Finance Management

Loan Facility : Available at 0% interest rate

MBA (X) in Business Analytics

  • Program Features
  • Program Structure
  • Career Option
  • Eligibility

Highlights:

  • An understanding of business foundations, analytics techniques, and analytics domains
  • Exposure to Python, Tableau, and Excel analytical tools
  • An integrated capstone project designed to develop real-life strategies
  • Hand Holding and support from your mentor, academic fellows, and peer network
  • Immersion in the industry through sponsored projects and detailed feedback from industry experts
  • On the LMS platform, it provides opportunities for networking with peers
  • Mentors to resolve doubts and support learning
  • To provide students with personalized feedback on their assignments and projects
  • Each student has a dedicated success mentor who manages non-academic queries

 

Advantages of the Program:

  • An engagement, learning, and assessment program that is continuous.
  • A renowned faculty from NMIMS and industry practitioners will deliver online lectures.
  • Experts from the industry will present guest sessions
  • Enhancing knowledge through peer-to-peer interaction.
  • Term1

Subjects

Business Communication

Basics of Python

Information Systems for Managers

Managerial Economics

Marketing Management



  • Term 2

Subjects

Business Statistics

Behavioral Science & Human Resource Management

Financial Accounting for Managers

Python for Business Analytics

  • Term 3

Subjects

Business Problem Solving, Tableau & Story Telling

Exploratory Data Analytics, Big Data and SQL

Corporate Finance

Operations and Supply Management

  • Term 4

Subjects

Advanced Machine Learning

Machine Learning I

Model Selection and Machine Learning II

Strategic Business Management

  • Term 5

Subjects

Fraud and Risk Analytics

HR Analytics

Marketing, Web and Social Media Analytics

Supply Chain And Logistics Analytics

  • Term 6

Subjects

Capstone Project

  • Term 7 & 8

Project

 

Learn how to become a data-savvy manager. As a result of the program, you are prepared for roles such as

  • Analytics Solution Manager
    – Working closely with Customer Solutions and Product Management to develop data-driven analyses and custom reports to support customer needs
    – Providing analytical support directly to strategic customer accounts with Customer Solutions.
    – Create tableau dashboard visualizations and PowerPoint presentations for customer presentations – present analysis directly to customers
    – Provide data-driven and analytic-driven solutions to meet customer needs
  • Team Lead / Sr. Associate Digital Analytics
    – Develop dashboards and ad hoc reports to present trends and measure progress against established KPIs, goals, and lead generation activities – Create visualizations (Tableau/Excel) to display analytical findings
    – Develop visualizations (tableau/excel) to present analytical results
    – Learn and use new analytics tools and metrics with the Analytics team
  • Business Analyst (Manager/Consultant)
    – This role is responsible for managing a team of business analysts
    – A Business Analyst Manager has a good understanding of technical tools, data analysis foundation methods, data gathering and processing, having a big picture of insights, and being able to manage a team
    – In addition to communication skills, leadership capabilities, team management skills, and strategic thinking skills are essential for being a successful Business Analyst manager.
  • Business Analyst (Individual Contributor)
    – Responsible for generating actionable information from data using business interpretation and analytics.
    – A business analyst analyzes information to gain insight into a company's operations.
    – Knowledge of the technical components of managing and manipulating data is essential for a business analyst with an emphasis on data.

Any Bachelor's degree (10+2+3) from a recognized university with a minimum of 55% and three+ years of work experience is acceptable.
OR
A Bachelor's Degree (10+2+3) from a recognized university in any discipline with a minimum of 55%, and a Post-Graduation / Professional Degree with at least 2 years of work experience.

 

    • The entrance test consists of the following sections: Verbal Ability, Logical Reasoning/Data Interpretation, and Quantitative Skills.

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      I authorize Learning Worm representative to contact me via phone and/or email. This will override registry on DNC/NDNC.