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Artificial Intelligence is the future of modern-age technology. Organizations need talent mastered in Al to fulfill their technological needs.

Data science professionals constantly strive to advance traditional data analysis, mining, and programming practices. Large organizations willing to integrate intelligence seek data scientists with mastery of the incomplete data science life cycle and the ability to optimize each phase of the process for maximum returns.

A career in data science and artificial intelligence is a ticket to a successful and rewarding career in this digital era. The Bachelor of Science in Data Science and Artificial Intelligence program offered by TransStadia University School of Computer Science, Artificial Intelligence & Emerging Technologies is the right choice!

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B.Sc. in Artificial Intelligence & Sports Analytics — 3 years

This program aims to nurture young talent for a rewarding career in Data Science and Artificial Intelligence Technology.

This program is focused on:
  • Nurturing students with purposeful competencies in Data Science & Artificial Intelligence.
  • To provide a strong foundation in Data Science & Artificial Intelligence.
  • Developing strong analytical and problem-solving abilities empowering students to grow personally and professionally.
  • To embed projects in the learning curriculum for a practical learning experience
  • Exploring new and exciting career avenues

The course pedagogy emphasizes on providing an overall development of computational and analytical skills further enhanced with interdisciplinary course learnings.

Eligibility Criteria:

10+2 (with Mathematics as a compulsory subject) with 50%


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B.Sc. in Data Science & Sports Studies — 3 years

This program aims to nurture young talent for a rewarding career in Data Science and Artificial Intelligence Technology.

This program is focused on:
  • Nurturing students with purposeful competencies in Data Science & Artificial Intelligence.
  • To provide a strong foundation in Data Science & Artificial Intelligence.
  • Developing strong analytical and problem-solving abilities empowering students to grow personally and professionally.
  • To embed projects in the learning curriculum for a practical learning experience
  • Exploring new and exciting career avenues

The course pedagogy emphasizes on providing an overall development of computational and analytical skills further enhanced with interdisciplinary course learnings.

Eligibility Criteria:

10+2 (with Mathematics as a compulsory subject) with 50%


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Career Prospects -

  • Data Scientist
  • Data Analyst
  • Data Science Software Engineer
  • Machine Learning Engineer
  • Quantitative Analyst
  • Data Visualization Specialist
  • Data System Developer

What Makes you unique?

  • Caters to the industry demand for interdisciplinary and Emerging Technology, especially the collaborative mix of Data Science & Al.
  • Curriculum is designed compliant with the industry practices, standards, and demand.
  • Integration of Major and minor technological areas in the curriculum.
  • Industry 4.0 Standard with NCSSS.
  • Learn and Earn model Projects from Industry.
  • Flip Learning Compliant Labs
  • Wide scope in Research, Innovation, and Incubation openings.
  • Opens avenues for higher studies.
  • Flip Learning methodology for lab classes
  • Technical Programmes for Global Informatics
  • Project-Based Learning for technical Subjects

Take the next step toward a world-class education