Schools

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Under Graduate Programs

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

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.

B.Tech in Computer Science and Engineering (Cyber Security)

B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning)

Program Overview

This specialization is designed to enable students to build intelligent machines with a cutting-edge combination of machine learning, analytics and visualization technologies. Students will acquire ability to explain and apply key ideas in artificial intelligence and machine learning and how they are being used in IBM, Google, Amazon, Facebook, etc. They will gain knowledge of related fields such as natural language processing, text mining, robotics, reasoning and problem solving. Students will get experience in implementing scalable solutions with AI and machine leaning components, technologies and tools.

Duration: 4 years

B.Tech in Computer Science and Engineering (Internet of Things and Cyber Security Including BlockChain Technology)

About the Program

Blockchain is an emerging technology platform for developing decentralized applications and data storage, over and beyond its role as the technology underlying the cryptocurrencies. The basic tenet of this platform is that it allows one to create a distributed and replicated ledger of events, transactions, and data generated through various IT processes with strong cryptographic guarantees of tamper resistance, immutability, and verifiability. Public blockchain platforms allow us to guarantee these properties with overwhelming probabilities even when untrusted users are participants of distributed applications with ability to transact on the platform. Even though, blockchain technology has become popularly known because of its use in the implementation of Cryptocurrencies such as BitCoin, Ethereum, etc., the technology itself holds much more promise in various areas such as time stamping, logging of critical events in a system, recording of transactions, trustworthy e-governance etc. Many researchers are working on many such use cases such as decentralized public key infrastructure, self-sovereign identity management, registry maintenance, health record management, decentralized authentication, decentralized DNS, etc. Also, corporations such as IBM and Microsoft are developing their own applications in diverse fields such as the Internet of Things (IoT), etc., even enabling blockchain platforms on the cloud.

Considering the need to disseminate the emerging concepts for students, we decided to prepare the new specialization on blockchain technology platforms and applications.

B.Tech in Computer Science and Engineering (Gaming Technology)

Program Overview

This program aims to develop graduates that are not only well versed with computing approaches, tools, and technologies, but are also experienced with Design approaches and new Media technologies and uses. It will prepare students to work in the IT industry as well as digital media industry like gaming, animation, virtual/augmented reality, etc. The program will also allow students, who want to pursue higher studies, to take up higher studies in CS/IT or in Design.

Duration: 4 years

B.Tech. in Computer Science and Business Systems

The world has become smarter - The humans have started interacting in various modes in their normal life and the way they are interacting for their business and domestic needs is drastically changing. The amount of data generated because of these actions is tremendous. So the enterprises want to understand this data and provide them a better customer service and gain their confidence to improve their business. The effect is profound and can be seen across all the Industries i.e. Telco, Insurance, HealthCare, etc.

Business analytics (BA) refers to the skills, technologies, applications and practices for continuous iterative exploration and investigation of past business performance to gain insight and drive business planning. Analytics may be used as input for human decisions or may drive fully automated decisions. Analytics have been used in business since the time management exercises that were initiated in the late 19th century. IBM Business Analytics software helps your organization better understand, anticipate and shape business outcomes.

B.Tech in Computer Science & Engineering (Cloud Computing & virtualization)

The next wave of computing is in the Cloud! Increasingly businesses want to get out of the complexity of managing data centers and instead focus on their core competencies. This means that more and more businesses will adopt cloud computing as a means to handle their IT requirements which gives them the freedom from day-to-day management of IT infrastructure.

Cloud Computing is one of the fastest growing paradigms in the IT industry today. As per a leading research firm IDC, worldwide spending on Cloud services will reach $42 billion by 2012.

This B.Tech program with the specialization in Cloud Computing & Virtualization will help students understand Cloud Computing and Virtualization technologies. Cloud Computing is very much a work in progress at this time and so while the course comprehensively covers the basic technologies involved, the history of the cloud and its roots in Service Oriented Architecture and Utility Computing, it has ample scope to take in the fast changing models that are thrown out by cloud computing. Students of this program will also benefit from the several practical credits that provide hands-on capabilities on the various aspects of cloud.

    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)

    M.Tech in Data Science

    Programs Overview

    • Duration-2 Years

    M.Tech in Artificial Intelligence & Data Science

    Programs Overview

    • Duration-2 Years

    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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