Programme-Offered

B.Tech Artificial Intelligence and Data Science

Artificial Intelligence and Data Science Programme prepare students with the skills to perform intelligent data analysis which is a key component in numerous real-world applications. During the past ten years, data science has emerged as one of the most high-growth, dynamic, and lucrative careers in technology. This course aims at providing not only the core technologies such as artificial intelligence, data mining and data modelling but also gives intensive inputs in the areas of machine learning and big data analytics. By the end of this course, the students will gain cross-disciplinary skills across fields such as statistics, computer science, machine learning, and logic, data scientists and will have career opportunities in healthcare, business, eCommerce, social networking companies, climatology, biotechnology, genetics, and other important areas. The major focus of this programme is to equip students with statistical, mathematical reasoning, machine learning, knowledge discovery, and visualization skills.

B.Tech. CSE (Cyber Security)

B.Tech CSE (Cyber Security) blends core computer science with modern security engineering to safeguard networks, systems, applications, and data. Students build strong foundations in algorithms, operating systems, databases, and computer networks, then deepen expertise in cryptography, secure software development, web and mobile security, cloud and container security, IoT/OT security, threat modeling, malware analysis, penetration testing, incident response, digital forensics, and governance–risk–compliance. The curriculum emphasizes adversarial thinking, secure-by-design principles, risk assessment, and privacy engineering through rigorous, hands-on problem solving. Graduates are prepared to design resilient architectures, prevent and detect attacks, investigate incidents, and uphold organizational security and privacy across diverse technology environments.

M.Tech. Artificial Intelligence and Data Science

M.Tech Artificial Intelligence and Data Science integrates advanced machine learning, deep neural networks, probabilistic modeling, and large-scale data engineering to solve complex, real-world problems across domains such as healthcare, finance, manufacturing, and smart cities. The program builds rigorous foundations in linear algebra, optimization, statistics, and algorithms, then advances to topics like representation learning, generative models, multimodal AI, graph learning, reinforcement learning, causal inference, privacy-preserving analytics, and responsible/ethical AI. Students practice end-to-end model development—from data acquisition and preprocessing to model design, evaluation, deployment, and monitoring, while emphasizing reproducible research and explainability. Graduates are prepared to architect intelligent systems, derive actionable insights from high-dimensional data, and drive innovation as AI scientists, data scientists, machine learning engineers, and research professionals.

Important courses

  • Blockchain Technologies and Applications
  • Deep Learning
  • Cloud Computing for Data Analytics
  • Reinforcement Learning
  • Penetration Testing and Vulnerability Analysis
  • Feature Engineering
  • Natural Language Processing
  • Full Stack Development
  • Machine Learning Techniques
  • Zero Trust Architecture
  • Generative AI
  • Federated Learning
  • Quantum Machine Learning
  • Data Visualization
  • Cognitive Computing
  • Optimization Methodologies
  • Principles of Cyber Security
  • Agile Software Development
  • Information Retrieval and Text Analysis
  • Digital Forensics
  • Data Acquisition and Processing
  • Big Data Platforms
  • Digital Forensics
  • Data Acquisition and Processing
  • Big Data Platforms
  • Cyber Forensics
  • MLOps
  • Computer Vision

Career Prospects

  • Data Scientist
  • Data Engineer
  • Data Scientist Manager
  • Machine Learning Engineer
  • AI Researcher

Infrastructure

Artificial Intelligence being the most sought-after skill in the industry, Karunya is partnering with Nvidia, the technology leader in AI computing. As a part of this initiative, Karunya has procured Nvidia DGX Station, with four Nvidia Tesla V100 Tensor Core GPUs each with 32 GB memory and Intel Xeon processor with 20 cores, the workstation delivers 500 teraFLOPS of AI power. The DGX Station can accelerate machine learning training up to 215X faster and carry out deeper exploration in the fields of Data Science, Machine Learning and Deep Learning. Also the department has signed an MoU with IBM India Pvt Ltd. The IBM Big Data Software Centre of Excellence is an initiative with a vision to enable the students and faculty in higher education to gain the relevant skills in Big Data Analytics, experiential learning and to make them adept with latest Big Data technology and tools. Currently the researchers are involved in research projects on Bio-medical text mining, Analytics in surveillance videos, Data Analytics on Social Media data, Drug Analysis, Predictive Analytics for cancer, fraudulent data Analytics, and traffic data analytics.