Programs
B.Tech. Artificial Intelligence and Data Science (Certification by IBM)
B.Tech. Artificial Intelligence and Data Science (Certification by IBM)
B.Tech in Artificial Intelligence and Data Science at S-VYASA Deemed to be University, Global City Campus, is an innovative programme that prepares students to become architects of the data-driven future by equipping them with the skills to transform raw data into meaningful intelligence.
Developed in collaboration with global technology leaders like IBM, this programme blends strong theoretical foundations with real-world applications to prepare graduates for the next generation of intelligent technologies.
Students receive globally recognised digital badges from IBM upon completing specialised AI and Data Science courses. These badges are verified industry credentials that can be shared on LinkedIn and digital portfolios. Recognised by employers worldwide, they demonstrate practical technology skills beyond academic grades and provide students with valuable micro-credentials alongside their B.Tech degree.
A vibrant academic ecosystem at S-VYASA Global City Campus provides students with access to advanced computing infrastructure, collaborative learning environments, and opportunities to apply classroom concepts through practical experiences.
Eligibility
- Candidates must have completed 10+2 or equivalent with PCMC or PCMB, securing a minimum aggregate of 50% marks.
Program Highlights
Industry-Certified Learning with Digital Badges:
Instead of waiting four years for recognition, students earn digital badges throughout the programme, encouraging continuous learning and skill progression. These badges serve as motivational milestones during the course while enhancing students’ employability opportunities.
Industry-Aligned Curriculum:
The curriculum is aligned with real industry requirements in Artificial Intelligence, Machine Learning, Data Analytics, Cloud-based AI platforms, Data Engineering, and related areas. Industry involvement ensures that students learn practical skills currently used in technology companies, rather than focusing only on theoretical concepts.
Stackable Credentials During the Degree:
Students graduate not only with a B.Tech degree, but also with multiple IBM Digital Badges and a strong project portfolio. These stackable credentials add value to their academic qualification and improve their career readiness.
Hands-on Industry Projects:
Students work on industry-inspired projects that simulate real-world problem-solving environments. These projects may include predictive analytics, AI model development, data visualisation, and business intelligence systems.
Global Technology Exposure:
Through collaboration with IBM, students gain exposure to global technology practices, emerging AI frameworks, and enterprise data platforms. This helps them become globally competitive technology professionals.
Career Outcome
Data Scientist:
Analyse large datasets, identify hidden patterns, build predictive models, and transform complex data into actionable insights for business, healthcare, finance, and technology sectors.
AI Engineer:
Design and develop intelligent systems using Artificial Intelligence, Machine Learning, and Deep Learning techniques to solve real-world industry challenges.
Machine Learning Engineer:
Build, train, test, and optimise machine learning models that help organisations automate processes, improve decision-making, and create intelligent digital solutions.
Data Analyst:
Interpret structured and unstructured data, create reports, and generate meaningful insights that support strategic planning and business growth.
Business Intelligence Analyst:
Use data visualisation, dashboards, analytics tools, and reporting systems to help organisations understand performance trends and make data-driven decisions.
Data Engineer:
Design, manage, and maintain data pipelines, databases, and cloud-based data systems that enable smooth data processing and analytics operations.
Cloud AI Associate:
Work with cloud-based AI platforms and data services to develop, deploy, and manage scalable intelligent applications for modern enterprises.
AI Research Associate:
Support research and innovation in Artificial Intelligence, Data Science, Machine Learning, and emerging technologies for academic, industrial, and technology-driven projects.
By choosing B.Tech in Artificial Intelligence and Data Science with IBM at S-VYASA Deemed to be University, students gain the opportunity to build strong career-ready skills in AI, Data Science, Machine Learning, analytics, data visualisation, and predictive modelling. The programme helps students learn how to work with large datasets, identify hidden patterns, develop intelligent solutions, and transform complex data into meaningful insights.
Through the School of Engineering and Technology, students engage with a curriculum that encourages analytical thinking, interdisciplinary collaboration, and the application of emerging technologies to solve real-world challenges.
The academic framework of S-VYASA University supports continuous learning through research, innovation, and industry engagement, enabling graduates to build successful careers in rapidly evolving technology domains.
