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A Journey through NIIT University’s Advanced BTech CSE Curriculum

The area of Computer Science and Engineering at NIIT University has established state-of-the-art undergraduate education and prepares its students as global computer science professionals and researchers. The BTech CSE programme at NIIT University boasts of a curriculum embedded with Full Stack, MERN & MEAN stack, Bigdata, NoSQL, Artificial Intelligence, Natural Language Processing, Machine Learning, Neural Networks and Deep Learning, Internet of Things, Inferential Statistics and Predictive modeling and more to equip students with advanced and futuristic technology skills.


The newly designed curriculum has greater emphasis on design and project work which enrich students’ analytical power and independent thinking capabilities.

In BTech Computer Science, students get opportunities to be involved in exciting, industry relevant projects jointly with world class engineers in collaborative education mode which provides an environment to convert their innovation into reality.

Further, the professional elective courses enable students to develop expertise in specialized areas like Artificial Intelligence, Data Science, Bigdata Engineering, Cyber Security, Cloud Computing and Geomatics in addition to core Computer Science and Engineering courses.

Through, strong industry linkages including a six-month industry practice, students get unique exposure to learn and execute live Industry assignments with best industry practices at onsite Industry Environment (across India) in the final academic year during semester eight, towards fulfilment of degree requirements.

Immersive live R&D project and undergraduate research opportunities encourage students to publish technical papers regularly in reputed journals and conferences under the guidance of dedicated research-oriented faculty members with well blended academic and industrial experience.

Sensibly designed ‘Capstone’ project engagements enable students to be industry ready and highly employable with strong expertise in Git and GitHub, MERN stack (MongoDB, ExpressJS, ReactJS, NodeJS) and MEAN stack (MongoDB, ExpressJS, Angular(.js), NodeJS), DevOps, CD/CI, Containerization with Docker and Kubernetes, APIs and Microservices.

The curriculum gives ample opportunity to students to work in close association with faculty mentors.

B.Tech. CSE offers six specializations:

Artificial Intelligence specialization consist of courses like: Computer Vision, Machine Learning, Neural Networks and Deep Learning, Natural Language Processing, IOT & Embedded Systems

B. Tech CSE Data Science specialization consist of courses like: Big Data Concepts, Inferential Statistics, Predictive Modeling, Natural Language Processing, Dimensional and NoSQL Databases

Cloud Computing specialization consist of courses like: Cloud Services and Technologies, Parallel & Distributed Computing, Cloud Computing Concepts, Advance Computer Networks, Fog & Edge Networks

Cyber Security specialization consist of courses like:
Introduction to Information Security, Systems and Network Security, Cyber Security, Cyber Forensics, Malware Analysis

Big Data Engineering specialization consist of courses like: Big Data Concepts, Information Retrieval, Dimensional and NoSQL Databases, Web Intelligence and Algorithms, Data Mining

Geomatics specialization consist of courses like:
Remote Sensing Fundamentals & Analysis, Geographic Information Systems, Advanced Remote Sensing, Drone Photogrammetry, Geospatial Programming & Web Map Development

[A] Artificial Intelligence (AI) specialization:

AI-specialization focuses on courses related to designing and developing computer systems capable of performing tasks that usually require human intelligence. In the current digital era, AI become the part of our daily digests with self-driving cars, Alexa/Siri like digital assistants’ excitement, real time face recognition at airports, human genome projects, Amazon or Netflix algorithms, AI composers/artists, handwriting recognition. AI-ML deep neural network, NLP with Chatbots, Virtual Reality, Augmented Reality and finally ChatGPT are together revolutionize the Globe. Therefore, exploring a dynamic, emerging, complex, and changing field like AI is a fascinating endeavour.

Our curriculum design provides valuable insights into the field and inspires further research and exploration of its applications and implications.

Career Opportunities:

Career opportunities in the AI field are vast and varied, ranging from entry-level positions to highly technical roles. Positions may involve developing and implementing algorithms, creating AI-powered applications, or working in the field of research and development. Common job titles include AI-ML Developer, ML Engineer, AI engineer, AI scientist, AI architect and data scientist. Additionally, AI professionals may be employed in roles such as project manager, business analyst, or product manager.

Furthermore, AI based opportunities in academics cover a wide range of roles, from teaching and research to writing and consulting.

Higher Education Opportunities:

Several reputable institutions, colleges, and universities offer higher education opportunities for AI-students at all academic levels, from bachelor to PhD and postdoctoral. Many universities from abroad offer AI-focused courses, research programs, and seminars. Several universities in India, including newer institutions like NIIT University and Institutes of National Importance, are now offering PG and Doctoral degrees with a focus on artificial intelligence. The demand and opportunities for talented AI engineers and professionals are immense, who want to work on the cutting edge of AI research and development.

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