Artificial Intelligence and Data Science

Join our B.Tech in AI & Data Science program,
where you will be using AI algorithms and data science approaches for different and promising career paths.

Overview:

B.Tech programs in Artificial Intelligence and Data Science represent the forefront of innovation, seamlessly blending cutting-edge disciplines to provide students with a comprehensive understanding of AI algorithms and data science methodologies. Through meticulously crafted course structures that intertwine theoretical foundations with practical applications, our students emerge equipped to navigate the complexities of modern data-driven landscapes that shape industries today.

Following the completion of the program, a multitude of varied career paths await exploration. Our students venture into pioneering AI research endeavors or assume strategic roles in data consulting, among other opportunities. The inclusion of robust practical training and immersive internships further enhances industry expertise.

In essence, pursuing a degree in AI and data science is akin to embarking on a journey of innovation and advancement, where the fusion of human intellect and technological expertise reshapes industries on a global scale. It's a voyage where the boundaries of possibility are continually pushed, serving as a guiding light of inspiration for generations to come. The degree not only opens doors to lucrative career opportunities but also equips our students with the skills and knowledge to make significant contributions to society through transformative technological advancements.

Academics:

Topics Taught:
  • Mathematics and Statistics: Linear algebra, calculus, probability theory, statistical inference and data visualization.
  • Programming and Data Analysis: Python, R, SQL, data cleaning and preprocessing, data wrangling and manipulation, exploratory data analysis (EDA) and data visualization.
  • Machine Learning and Artificial Intelligence: supervised learning (e.g., regression, classification), unsupervised learning (e.g., clustering, dimensionality reduction), reinforcement learning, deep learning, natural language processing (NLP), and computer vision.
  • Big Data Technologies: Distributed Computing, Cloud Computing, Hadoop, Spark, and NoSQL Databases
  • Domain-Specific Applications: Industry-specific applications of data science such as healthcare analytics, financial analytics, social media analytics, and marketing analytics.
  • Soft Skills: Include communication skills, collaboration, project management, and ethical considerations related to data science.

Future Scope:

Statistical analysis regarding B.tech- Artificial Intelligence and Data Science course page

  • Recent projections suggest a significant growth rate of approximately 30% in data science jobs.
  • The estimated number of job listings for data science was around 2,720,000.
  • The US Bureau of Labor Statistics forecasts the creation of about 11 million new jobs by 2026.
  • Enormous data analytics enables organizations to harness their data, uncovering new growth and innovation opportunities.
  • The average salary in data science is currently approximately ₹708,012.
  • Entry-level data science professionals typically earn around ₹500,000 annually, even with less than one year of experience.

Career Opportunities:

  • Data Science Consulting: Offers consulting services to businesses, leveraging data for strategic decision-making and problem-solving, aligning with the problem-solving ethos of a B.Tech program.
  • Data Analytics Management: Focuses on overseeing data analytics projects within organizations, aligning with the managerial and organizational skills honed in a B.Tech program.
  • Predictive Analytics: Utilizes statistical models and machine learning algorithms to forecast future trends and outcomes, applying the analytical and computational skills developed in a B.Tech program.