Master of Technology

Artificial Intelligence & Data Science | M.Tech (AIDS)

Widening use of AI/ML and Data Science in the businesses leads to transform the world into the Smart World. It has demonstrated the considerable improvements in the several real-time business processes in terms of efficiency and productivity. These approaches are utilised extensively to uncover the business insights and hence to support the decision making.

Applications of AI-ML can be found in a variety of business sectors, including automatic driving, healthcare, e-commerce, climatology, social media and networking, transportation, and far more. Currently, there is a huge requirement of AI and Data Science professionals in the industry, not only at developer but also, as a researcher. This postgraduate programme is empowered by covering all comprehensive fundamental as well as advance knowledge of the AI/ML and Data science domain. Further, there are several options available for the subsequent career advancement and opportunities in research and development.

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Key Information


Experienced and proficient faculty members from the AI and Data Science domain are available; they ensure the involvement of the students in case study/ project based learning. They use upgraded and advanced teaching methodologies via Google classroom, Virtual labs, Smart board, and Microsoft office tool for content delivery.

Faculty members follow the efficient course engagement strategies to ensure the active learning from the students. Our education inspires students to apply in global corporate companies and lead their career path in a better way. They are made aware of their responsibilities towards the betterment of society and are prepared to take on interesting challenges along the way.


  • Year-long Internship

    Students will get the opportunity to do the industry internship in the second year of their postgraduate programme. Students gains valuable hands-on experience, enrich & implement academic knowledge. They can identify career fields and understand industry environment & employment structure. Also, there will be improvement in the teamwork, time management, analytical and Problem-solving skills.

  • Growing Demand

    The demand of professionals in the field of AI and Data science are increasing exponentially. Due to the transition from manual processes to automation of processes, organizations started realizing the benefits of AI-DS; almost every business sector is adopting the digital automation and hence huge requirements of AI, DS professionals.

  • Project Based Learning

    Students exposure to innovative project development under the able guidance of faculty members, leading to accolades at national contests like Smart Indian Hackathon, Robocon etc. help to inculcate critical thinking, creative thinking and entrepreneur skills.

  • Strong Industry Connect

    Industry-Department collaboration helps to build Industrial competent students by providing opportunities to work with leading companies, Government organizations, Public Sector Undertakings, Ministries and Foreign universities for consultancy projects, research projects and internships. Option for Semester long internship is available for getting better industry exposure.

  • Vibrant Student Life

    Multicultural and vibrant campus life with numerous technical and cultural events in building proactive students. Well established and profoundly active professional student bodies of the department (Codecell, CSI) help the student to have not only to develop technical skills but leadership and entrepreneurship skills.

  • Cutting Edge Laboratories Infrastructure

    Sophisticated cutting edge laboratories with the latest infrastructure for parallel computing, cloud computing, Penetration Testing and Internet of Things provide quality academic experience for students.

Career Paths

  • Doctorate (Ph.D.)
  • Lead Data Scientist
  • Advanced Analytics Consultant
  • Business Intelligence developers
  • AI engineers
  • Big Data architects
  • Data engineers
  • Data scientists
  • application developers
  • software architects
  • Computer Programmer
  • Network Engineer
  • IT Consultant
  • Software Designer
  • Systems Analyst
  • Scientific Researcher
  • Database Administrator
  • Researcher & Academician
  • Software Testing Engineer
  • IT Manager
  • SEO Expert
  • Games Developer
  • Mobile Application Developer
  • Web Application Developer
  • UI/UX Designer
  • Network Administrator
  • Business Analyst
  • System Administrator
  • Cyber Security Analyst
  • Computer Forensic Analyst


Semester I Semester II
Mathematical foundations for Data Science Introduction to Statistical Methods
Fundamentals of Data Science Big data Analytics
Advanced Databases Elective 1
Applied Data Structures & Algorithm Design Elective 2
  Elective 3
  Department Elective 1,2,3
  Data Warehousing
  Graphs – Algorithms & Mining
  Computer vision
  Machine learning
  Data Modeling, Visualization & Interpretation
  High performance computing for AI-ML
  Business Analytics
  Ethics for Data Science
Semester III Semester IV
Core Course  
Elective 4 Dissertation
Elective 5  
Elective 6  
Department Elective 4,5,6  
Natural Language Processing  
Design of Experiments for Data Science  
Probabilistic Graphical Models  
Optimization Techniques for Analytics  
Stream Data Processing & Analytics  
Artificial & Computational Intelligence  
Deep Learning  
Spatial Data analytics  
AI & ML techniques for Cyber Security  
Knowledge Graphs  

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