The AI for Business module focuses on the practical applications of artificial intelligence in transforming business operations and decision-making. It covers key AI technologies such as machine learning, natural language processing (NLP), automation, and predictive analytics. Students learn how AI enhances customer experience, optimizes supply chains, and drives data-driven strategies in industries like finance, healthcare, marketing, and retail. The module also explores ethical considerations, AI adoption challenges, and best practices for implementing AI solutions in a business environment.

Machine Learning for Business is a module that explores how machine learning techniques can be applied to solve real-world business problems. It covers key concepts such as predictive analytics, data-driven decision-making, customer segmentation, and demand forecasting. The module introduces various machine learning models, including regression, classification, clustering, and recommendation systems, with a focus on practical applications in marketing, finance, operations, and strategy. Emphasis is placed on interpreting model results, ethical considerations, and integrating machine learning insights into business processes to drive innovation and efficiency.

Blockchain Technology is a module that explores the fundamentals, applications, and impact of blockchain in various industries. It covers key concepts such as decentralized ledgers, cryptographic security, smart contracts, consensus mechanisms, and tokenization. The module examines how blockchain enhances transparency, security, and efficiency in sectors like finance, supply chain, healthcare, and governance. Practical use cases, challenges, and emerging trends are discussed, along with an introduction to cryptocurrencies and decentralized finance (DeFi). Emphasis is placed on understanding blockchain’s potential for innovation and its role in shaping the future of digital transactions.

Metaverse in Action is an immersive module that introduces students to the core concepts, technologies, and applications of the Metaverse. It covers Extended Reality (AR, VR, MR), AI, and digital environments, providing hands-on experience by creating their own Metaverse using open-source platforms. Students explore the building blocks of virtual worlds, design interactive experiences, and analyze real-world use cases. The module emphasizes critical thinking, innovation, and practical implementation, equipping learners with the skills to navigate, create, and contribute to the evolving Metaverse ecosystem.

• Students interested in AI and data science careers
• IT professionals looking to upskill
• Business analysts seeking data-driven decision-making skills

After successful completion of all the modules, you will receive a Diploma certificate.

You can easily access this course Online from anywhere, anytime. However, students have the opportunity to attend one week at the end of this course at SPU before their graduation.

Joint MSP-SPU Courses are truly based on the ‘Applied Learning’ approach, offering the course teachings via self-paced videos, live remote classes, hands-on projects, and labs. Furthermore, students get the access to mentorship sessions that help them to engage better and have real-world experience.

A Diploma in AI and Data Science opens doors to numerous career opportunities in the rapidly growing tech industry. Graduates can pursue roles such as Data Scientist, Machine Learning Engineer, AI Engineer, and Data Analyst, where they analyze data, develop AI models, and create intelligent solutions for businesses. Opportunities also exist in specialized fields like Computer Vision, Natural Language Processing (NLP), and Big Data Engineering, catering to industries such as healthcare, finance, and e-commerce. With AI-driven innovation transforming businesses worldwide, professionals with expertise in AI and data science are in high demand, offering lucrative salaries and strong career growth potential.

No, you need not take any English proficiency exam for enrolling in this diploma program.