- 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 |
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.