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B.Tech in Computer Science & Engineering

The School of Computing Science and Engineering introduces this program to provide high quality undergraduate education to the students with the objective of preparing them for prolific careers and providing graduate training in some focused area of Computer Science and Engineering. This School strives for excellence in producing graduates who will reinforce core computing areas while inventing and implementing new technology. The graduates will be able to apply sound judgment to the production, communal, ethical and professional issues of the rapidly developing computing industry.

The program will contribute towards the advancement of Computational Technologies and prepare graduates trained in the design, implementation, and analysis of computational systems and skilled in technical communication. Each of the courses in our curriculum is designed to help students achieve specific learning objectives. This program provides industry, business, or government with a highly skilled resource and also provides support programs for students in engineering, mathematics, and other fields requiring computing skills. After successful completion of Computer Science and Engineering program, students will be able to exhibit expertise in problem-solving techniques using the computer, achieve proficiency in programming languages, operating systems and breadth- Department of comprehension in this discipline.

B.Tech in Artificial Intelligence and Data Science

About the program

Data Analytics is concerned with the acquisition, storage, retrieval, processing and finally the conversion of data into knowledge where the quantum of data is very large. This knowledge could help us understand our world better, and in many contexts enable us to make better decisions. Now a day’s 'Data Analytics' are newly developed interdisciplinary programs that includes diverse application domains .There are many applications, such as social media, healthcare, e-commerce, weather forecast, traffic monitoring, etc., that are producing massive amounts of data, the so-called “BIG DATA”, with Volume, Velocity, Variety, Veracity and Value (the five “Vs” of Big Data challenges) at an unprecedented scale. This has led to a critical need for skilled professionals, popularly known as Data Scientists or Data analytics, which can mine, interpret and predict the data.

The curriculum exposes students with all aspects of data analytics including research design, data collection, preparation, analysis, integration, visualization, and interpretation.

This will be achieved by an approach involving rigorous and comprehensive academic course work covering theory, fundamentals and hands-on experience with real-world applications. The curriculum is strongly oriented towards industry and emphasizes industry internship, projects, and entrepreneurship. It is expected that the graduates of the proposed program will mostly join the fast growing Data Analytics industry as technical experts and few will even launch their own IT start-ups in this field.

    Post Graduate Programs

    M.Tech in Computer Science Engineering

    Programs Overview

    The M. Tech. program at the School of Computer Science & Engineering will challenge the intellect of the students and enhance their knowledge in various courses in Computer Science. The program will prepare students for a variety of industry jobs, jobs in R & D and even for a Ph.D. degree in Computer Science.

    This programme has been designed to impart advanced knowledge in various areas of Computer Science. The programme is designed in such a way that a student can complete it based on advanced coursework alone. The structure of this program aims to nurture students by balancing core courses, advanced elective courses and a substantial dissertation or project. The program has been revised in such a way that it is able to cope up with the advances taking place in the field. All students get an opportunity to strengthen their knowledge of the fundamentals and to specialise in areas such as Algorithms, Bioinformatics, Cryptology, Image Processing, Networking, and Pattern Recognition.

    The M. Tech. program is intended to provide both theoretical and practical awareness in the areas of advancements in Operating Systems, advances in DBMS, Computer Systems Performance Analysis, Computer Science, Advanced Algorithms, Advances in Computer Architecture, Computer Networks and a host of elective courses such as, Advances in Digital Image Processing, Computer Graphics & Visualization, Topics in Artificial Intelligence, Protocols Engineering, Advances in Compiler Design, Information Security etc.

    • Duration-2 Years

    M.Tech Computer Science & Engineering (Artificial Intelligence & Machine Learning)

    Program overview

    M.Tech. in Computer Science and Engineering with specialization in Artificial Intelligence and Machine Learning is a Master’s Program offered at School of Computing Science and Engineering providing students an opportunity to learn both foundational and experimental components of AI and Machine Learning. A student completing this program will be able to undertake industry careers involving innovation and problem solving using Artificial Intelligence (AI) and Machine Learning (ML) technologies and research careers in AI, ML, and, in general, Computer Science areas. Along with courses that provide specialization in AI, students will also have option to explore some applied domains such as computer vision, natural language processing, robotics, and software analysis. Students will gain thorough knowledge in Intelligent Systems, Machine Learning, Deep Learning, Reinforcement Learning, Natural Language Processing, Text Technologies for Data Science, Data Analytics and Mining, Big Data Management, Data Visualization, Bayesian Data Analysis, Probabilistic Modelling and Reasoning, Cloud Technologies, Internet of Things, Statistical Learning.

    Doctoral Programs

    Doctor of Philosophy (Ph.D.) in Computer Science Engineering

    Programs Overview


    Ph.D. Information Brochure

    Eligibility Notes: A Master's degree from a recognized Indian University or any other equivalent degree to the satisfaction of the Academic Council of the University, in the relevant field, with not less than 55% marks in aggregate or 6.0 CGPA on a 10 point scale or equivalent.

    Note: Candidates who have qualified in UGC NET/CSIR (JRF) Examination/SLET/GATE/Teacher Fellowship holder or have passed M.Phil. Programmes are exempted from Written Examinations. Click Here to know more

     

     

     

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