AKTU Emerging Technologies for Business (BMBIT02) Syllabus PDF – MBA 3rd Semester

Course Objectives

• To understand the evolution of emerging technologies and their relevance to business strategy in the era of Industry 4.0.
• To examine the architecture and application of data science, big data, and cloud technologies in business contexts.
• To analyze the integration of AI, IoT, and computer vision in domains such as manufacturing, retail, and healthcare.
• To explore the disruptive impact of blockchain, 3D printing, and advanced computing technologies.
• To assess immersive technologies like AR, VR, MR, and their roles in customer experience and business transformation.
• To evaluate ethical, cybersecurity, and sustainability challenges in deploying emerging technologies.

Unit - I: 8 Hours

Foundations of Digital & Emerging Technologies: Evolution of technology and the Fourth Industrial Revolution (Industry 4.0); Introduction to digital transformation in business; Overview of enabling technologies and business drivers; Human-machine interaction; future trends in business technology adoption; Introduction to programmable networks, devices, and automation

Unit - II: 8 Hours

Data Science, Big Data & Cloud Computing: Understanding data, information, data value chain, and types; The data pipeline: collection, cleaning, storage, analysis, curation, and visualization; Big Data: key concepts and business use cases; Role of data science in business analytics and decision-making; Cloud Computing: fundamentals, service models (IaaS, PaaS, SaaS), deployment models;

Cloud platforms for data storage, management, and scalable analytics

Unit - III: 6 Hours

Artificial Intelligence, IoT & Computer Vision: Artificial Intelligence (AI): machine learning, deep learning, business applications; IoT: architecture, devices, enabling networks, and business implementations; Use of IoT in supply chain, healthcare, smart cities, manufacturing; Computer Vision: fundamentals, business applications in quality control, retail, and automation; Integration of AI & IoT for intelligent products and smart services

Unit - IV: 12 Hours

Blockchain, 3D Printing & Other Disruptive Technologies: Blockchain fundamentals: distributed ledgers, smart contracts, business applications (finance, supply chain, traceability);

Real-world challenges and regulatory considerations for blockchain adoption; 3D Printing (Additive Manufacturing): technology, business use cases, supply chain impact, mass customization; Survey of additional emerging technologies (e.g., neuromorphic computing, quantum computing, edge computing) AR, VR, MR & Virtual Try-On in Business: Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR): differences, technologies, and development; Immersive experiences in business: marketing, training, product design, simulation; Virtual Try-On: concepts, enabling technologies (AR/AI), applications in retail, fashion, beauty, home décor; Data-driven personalization and customer engagement via immersive technologies; Challenges and opportunities of implementing immersive solutions

Unit - V: 6 Hours

Ethics, Security, Sustainability & Leadership in Emerging Tech: Data privacy, security, and compliance (GDPR, other regulations); Cybersecurity issues in cloud, AI, IoT, and blockchain adoption; Ethics and bias in AI, big data, and immersive technologies; Sustainable technology adoption and digital responsibility; Leadership and future workplace skills: managing innovation, change management, digital strategy

Course Outcomes

Suggested Readings

• Brynjolfsson, E., & McAfee, A. The Second Machine Age, W. W. Norton & Company.
• Marr, B. Big Data in Practice, Wiley.
• Tapscott, D., & Tapscott, A. Blockchain Revolution, Penguin.
• Greengard, S. The Internet of Things, MIT Press.
• Lewrick, M., Link, P., & Leifer, L. The Design Thinking Toolbox, Wiley