Overview
To build a comprehensive foundation in data-driven leadership, the concentration focuses on critical areas driven by specialized coursework:
- Advanced Analytics & Visualization: Translate complex datasets into clear, strategic insights using tools from big data analytics and visualization and social media & web analytics for business.
- AI & Predictive Modeling: Harness the power of algorithms to forecast trends and drive innovation through artificial intelligence and machine learning, regression & time series models, and applied statistics for optimization.
- Data Infrastructure & Architecture: Build robust data ecosystems and manage scalable systems in data engineering, database design and management, and virtualization and storage.
- Technical Foundations for Leadership: Master the coding and quantitative frameworks necessary for modern business intelligence with python programming and statistical analysis for the decision-making process.
Learning Outcomes
DEVELOP ETHICAL AND
Develop ethical and culturally sensitive strategic business communication skills to manage professional relationships in business environments
CHOOSE ADVANCED DATA
Choose advanced data analysis techniques with ethical consideration to make strategic and informed business decisions
CONSTRUCT STRATEGIC BUSINESS
Construct strategic business plans to enhance understanding of market trends, competitor analysis, and risk
DEVISE INNOVATIVE SOLUTIONS
Devise innovative solutions that exemplify entrepreneurial thinking and foster a culture of innovation for business success
APPRAISE STRATEGIC MANAGEMENT
Appraise strategic management applications and practices to transform organizations that can adapt to market demand
DESIGN PREDICTIVE MODELS
Design predictive models and optimization frameworks using advanced machine learning, applied statistics, and time-series analysis to solve complex business challenges and forecast market behaviors.
ARCHITECT SCALABLE DATA
Architect scalable data infrastructures and visualization pipelines to ethically transform unstructured big data into actionable strategic intelligence for enterprise-level stakeholders.
Curriculum Structure
Eligibility
Bachelor’s degree in any discipline from a recognized university of Nepal or from universities around the globe with a minimum CGPA of 2.0, or 45% or an equivalent grade scale in undergraduate level.
Graduation Requirement
Student must complete sixty (60) prescribed credit hours with a cumulative GPA of 3.0 or higher, including 48 credits MBA core course and 12 credits concentration course.
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