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Program Overview

The M.Tech. in AI and Data Science is an advanced postgraduate program that focuses on the intersection of artificial intelligence, machine learning, and data science. It offers students an in-depth understanding of data analytics, algorithm design, and AI-based solutions, preparing them for leadership roles in the tech industry. The curriculum combines theoretical learning with hands-on experience, covering topics like big data, deep learning, natural language processing, and data mining. Students also engage in research projects to explore cutting-edge developments in AI.

Duration
2 Years

Applications Open for 2025

Programme Name

M.Tech. CSE – Artificial Intelligence & Data Science

Career Opportunities

M.Tech in AI and Data Science offers a wealth of career opportunities in the rapidly growing fields of artificial intelligence and data science. Graduates can work as data scientists, machine learning engineers, or AI specialists, developing intelligent systems and analyzing large datasets to derive insights. Roles in big data analytics, natural language processing (NLP), and computer vision are also prominent. Graduates can also explore positions in research and development, business intelligence, and predictive modeling across industries like healthcare, finance, retail, and technology. Opportunities in AI-driven product development, algorithm design, and automation are abundant, with increasing demand for professionals skilled in AI and data analytics in both the private and public sectors.

Scholarship

*Terms and Conditions Apply

  • Scholarships are granted based on the order of application and are applied as fee adjustments.
  • To retain the scholarship throughout the duration of the program, students must maintain a minimum academic performance of 8 CGPA in all semesters, ensure at least 80% attendance, and avoid any disciplinary issues during their course of study."

Eligibility

Candidates should possess a B.Tech./B.E. degree in Computer Science and Engineering, Information Technology, or a related discipline from a recognized institution. A minimum aggregate score of 60% or equivalent CGPA in the qualifying examination is typically required.

Selection

Candidates should have a strong foundation in computer science subjects such as data structures, algorithms, computer networks, operating systems, database management, programming languages, and software engineering. A solid understanding of mathematics, including discrete mathematics, linear algebra, calculus, and probability theory, is also essential.

Program Highlights

  • Advanced Curriculum: The program delves into specialized areas such as artificial intelligence, machine learning, cybersecurity, data science, and software engineering, providing a robust foundation for tackling complex technological challenges.
  • Research Opportunities: Students have the chance to collaborate with experienced faculty on research projects, contributing to real-world applications and pushing the boundaries of computer science knowledge.
  • State-of-the-Art Facilities: Access to cutting-edge technology and software enables students to explore emerging trends and innovate within the field.
  • Industry Collaborations: Strong partnerships with leading technology companies and research institutions offer students exposure to current industry practices, internships, and guest lectures from industry experts.

Key Recruiters

Frequently Asked Questions – M.Tech. CSE – Artificial Intelligence & Data Science

The M.Tech in AI & ML is a two-year program divided into four semesters, combining theoretical coursework, practical labs, and project-based learning. The first year builds a foundation in core topics like machine learning algorithms, while the second year covers specialized areas such as Deep Learning, NLP, and AI Ethics. The program culminates in a capstone project or thesis.

The curriculum includes advanced topics like Advanced Machine Learning, Deep Learning, Reinforcement Learning, AI Ethics, and Computer Vision. Students also explore Robotics and Big Data Analytics, gaining expertise to develop intelligent systems and understand the ethical implications of AI.

Yes, the program emphasizes research, allowing students to engage in AI-related projects and contribute to new algorithms and advancements. Students can publish their research and collaborate with faculty, industry experts, and labs, gaining experience in solving real-world AI and ML challenges.

Graduates can work as AI Engineers, Data Scientists, or Machine Learning Specialists in industries such as healthcare, finance, and tech. They can also pursue academic careers or research roles, contributing to the development of advanced AI technologies.

Yes, the program includes industry partnerships offering internships, mentorships, and collaborative research with leading AI companies. These connections provide students with practical experience, networking opportunities, and job placements in the AI and tech industries.

Yes, the M.Tech in AI & ML caters to both fresh graduates and working professionals. It offers full-time and part-time modes, allowing professionals from various backgrounds to enhance their expertise while balancing work commitments.

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