Amity University | MBA For Working Professionals Specialization: Tech & Data-Driven Business
Fee
INR 4,14,000 per semester
Experience
2 - 10 Years
Duration
2 Years
Delivery Method
Classroom
Why This MBA?
For mid-career professionals, tenure alone doesn't guarantee growth. Technical excellence often hits a plateau without translating into leadership opportunities. This program bridges functional expertise and strategic influence.
The Four Career Breakthroughs We Enable
- From Technical to Strategic: We help you make the leap from functional expertise into confident leadership roles.
- Unlock Your Earning Potential: Gain the leverage to negotiate compensation that truly reflects your experience and value.
- Make Your Experience Visible: Get formal, market-recognized credentials that showcase the knowledge you've built over your career.
- Stay Ahead of the Curve: Build relevant, future-ready skills that keep you at the forefront of a fast-moving business landscape.
Expected Outcomes in 24 Months
- Role transitions & promotions
- Enhanced earning potential
- Build leadership credibility
- Enhanced job satisfaction & confidence
Desired Candidate Profile
- Experience: Minimum 2 years full-time work experience after graduation
- Academic: Graduate degree from an accredited university with minimum 50% marks
Course Modules
The Curriculum
Year 1: The Core Foundation
Semester 1
- Data Analytics
- Accounting For Managers
- Marketing in a Digital World
- Organizational Behaviour & Leadership
- Economic Theory and
- Perspectives
- Entrepreneurship Ecosystem
Semester 2
- Strategic Thinking & Business Models
- Operations & Global Supply Chain
- Financial Decision-Making
- Research Methodology & Report Preparation
- General Business Environment
- Summer Dissertation
Year 2: Mastery & Application
Semester 3: Specialization -Tech & Data-Driven Business
Data Visualization: Tools and Techniques
- Cyber security & Risk Management
- Business Intelligence and Data Analytics
- Block chain for Business
- Business Process and Enterprise Management
- Artificial Intelligence & Machine Learning Applications
Semester 4
Data Science with R
- Data Mining for Intelligence Management
- Predictive Analytics for Decision Making
- Database Technology and SQL for Managers
- Contemporary Information Systems and Knowledge Management
- Social media and Social Network Analytics
- Corporate Social Responsibility and Business Ethics
- Universal Human Values
- Dissertation Project
You may be contacted by the course provider
