School of Business
MBA – HRM & Analytics
Overview
The Master of Business Administration (MBA) programme is designed to develop future-ready business leaders with strong analytical, managerial, and technological capabilities. The curriculum blends foundational management principles with emerging areas. Students gain exposure to real-world business challenges through industry internships, community projects, case studies, research assignments, and a capstone dissertation.
The programme emphasises holistic development by integrating managerial economics, marketing, finance, operations, people management, entrepreneurship, technology, and strategic decision-making. In addition, modern industry-oriented courses—such as Natural Language Processing, Business Function Analytics, and Corporate Governance & ESG—prepare students to excel in dynamic and technology-driven business environments.
Key Highlights
- Covers core functional areas—Finance, Marketing, Operations, HR, Strategy—while integrating advanced topics like Machine Learning, Deep Learning, Data Security, and Business Analytics.
- Courses such as Introduction to Python Programming, Business Function Analytics equip students for data-driven decision-making roles.
- Strong emphasis on leadership development through courses like Principles of People Management, Employee Engagement, Talent Acquisition, Compensation & Benefits, and Organisational Development.
- Includes Community Projects, Design Thinking workshops, Industry Internship, and Project Dissertation for hands-on problem-solving.
- Dedicated modules on Corporate Governance, ESG, and Business Ethics strengthen responsible leadership.
- Skill-building across strategic management, communication, analytical thinking, and organisation development helps students excel in diverse job roles across industries.
Programme Structure
Year 1
Semester 1
| SL No. | COURSE CODE | COURSE TITLE | CREDITS |
|---|---|---|---|
| 1 | SB5101 | Managerial Economics | 3 |
| 2 | SB5102 | Mathematics and Statistics for Managerial Decisions | 3 |
| 3 | SB5103 | Financial Reporting and Analysis | 3 |
| 4 | SB5104 | Principles of Marketing | 3 |
| 5 | SB5105 | Organisational Behaviour | 3 |
| 6 | SB5106 | Information and Technology Management for Business | 3 |
| 7 | SB5107 | Introduction to Python Programming | 3 |
| 8 | SB5401 | Business Regulations | 3 |
| Total Credits to be earned by students in the First semester | 24 | ||
Semester 2
| SL No. | COURSE CODE | COURSE TITLE | CREDITS |
|---|---|---|---|
| 1 | SB5151 | Corporate Finance | 3 |
| 2 | SB5152 | Principles of People Management | 3 |
| 3 | SB5153 | Entrepreneurial Mindset | 3 |
| 4 | SB5154 | Business Research Methods | 3 |
| 5 | SB5155 | Design Thinking | 3 |
| 6 | SB5451 | Cost Management | 3 |
| 7 | SB5452 | Production and Operations Management | 3 |
| 8 | SB5156 | Community Project | 2 |
| Total Credits to be earned by students in the Second Semester | 23 | ||
Year 2
Semester 3
| SL No. | COURSE CODE | COURSE TITLE | CREDITS |
|---|---|---|---|
| 1 | SB6101 | Strategic Management | 2 |
| 2 | SB6201 | Machine Learning | 4 |
| 3 | SB6203 | Natural Language Processing with Classification and Vector Spaces | 4 |
| 4 | SB6204 | Data Security and Governance | 4 |
| 5 | SB6407 | Compensation and Benefits | 4 |
| 6 | SB6408 | Employee Engagement | 4 |
| 7 | SB6409 | Performance Management | 4 |
| 8 | SB6102 | Industry Internship | 4 |
| Total Credits to be earned by students in this semester | 30 | ||
Semester 4
| SL No. | COURSE CODE | COURSE TITLE | CREDITS |
|---|---|---|---|
| 1 | SB6151 | Corporate Governance, ESG and Business Ethics | 3 |
| 2 | SB6252 | Deep Learning | 4 |
| 3 | SB6254 | Business Function Analytics | 4 |
| 4 | SB6455 | Talent Acquisition | 4 |
| 5 | SB6456 | Organisational Planning and Development | 4 |
| 6 | SB6152 | Project Dissertation | 6 |
| Total Credits to be earned by students this semester | 25 | ||
Industry-Integrated Curriculum
A two-year industry-driven MBA designed to equip students with advanced managerial expertise, digital competency, and hands-on corporate exposure. Through internships, real-time projects, analytics-based assignments, and expert-led sessions, students graduate as work-ready professionals with salient features.
- Industry-Integrated Curriculum with applied learning modules
- Technology & Analytics Focus: Python, ML, NLP, Deep Learning
- People Management Expertise: Engagement, TA, Performance, OD
- Ethics & Sustainability: ESG, Corporate Governance
- Experiential Learning: Community Project, Internship, Dissertation
- Career Support: Corporate mentorship, placement preparation
Synopsis
- Core Management – Economics, Finance, Marketing, Organisational Behaviour
- Analytics & Digital Tech – Python, Machine learning, Natural language Processing with Classification and Vector Spaces, Data Governance
- Human Capital Leadership – Talent Acquisition, Compensation & Engagement, Organisational Development
- Strategy & Innovation – Strategic Management, Entrepreneurship, Design Thinking
- Practice-Based Learning – Internship, Industry Project, Dissertation
Professional Options
- Business Analyst
- HR Business Partner
- Talent Acquisition Specialist
- Data & Analytics Consultant
- Financial Analyst
- Operations Manager
- ESG/Compliance Executive
- Product/Project Manager
Admission Requirements
- Bachelor’s degree from a recognised institution.
- A strong inclination towards finance, markets, analytics, or economics.
- RVU Admission Test / National-level entrance scores accepted.
- Personal interview with RVU School of Business.
How To Apply
Visit the RV University website and select the School of Business.
Fill the online application form for MBA – Global Financial Markets.
Upload all required academic documents.
Pay the application fee.
Attend the selection process.
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