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  • QUICK FACTS

  • 34

    industry collaborations

  • 16+

    lakhs in scholarships

  • 50%

    Faculty members hold PhD

  • 100%

    placement for students

 

OVERVIEW

 

Computing is rapidly evolving and is integrated into every phase of business, science, engineering, medicine, and everyday life. The computer science and engineering department serves the needs of the private and public sectors for highly qualified computing professionals with a high-quality computer science education that enables them to make big strides in their careers. Students are prepared with not only a strong theoretical foundation but also with a robust practical knowledge in the computing field to make them industry-ready. 

 

 

ABOUT US

 

With a mission of achieving excellence in computer science & engineering education with human values, the Department of Computer Science & Engineering was established in the year 2011. B. Tech in Computer Science and Engineering was accredited by the National Board of Accreditation (Tier-1) in 2021.

The department is well equipped with state-of-the-art laboratories in all major domains of Computer Science and Information Technology with excellent hardware and software support.

The department provides a unique environment for the holistic growth of students, under the able guidance of experienced and committed faculty members having research specialization in Algorithms, Software Engineering, Databases, Computer Networks, Wireless Sensor Networks, Data Mining, Machine Learning, Natural Language Processing, Information and Cyber Security, Image Processing, Pattern Recognition, Internet of Things, Cloud Computing, etc. Students acquire creative, innovative, entrepreneurial and technological skills, which are required to make them profession and industry-ready.

The department attracts high-quality students from all over India and has an impressive placement record.

The department offers the following programs:

  • B.Tech. (Computer Science and Engineering)
  • M.Tech. (Information Security)

 

 

VISION

 

  • To achieve Excellence in Computer Science & Engineering Education for Global Competency with Human Values

 

MISSION

 

  • Provide innovative Academic & Research Environment to develop competitive Engineers in the field of Computer Science Engineering
  • Develop Problem-solving & Project Management Skills by Student Centric Activities & Industry Collaboration
  • Nurture the Students with Social & Ethical Values

 

OBJECTIVES

 

  • To enable students to apply principles of computer engineering, science and mathematics to solve real-world problems appropriate to the discipline.
  • To inculcate lifelong learning skills among students to allow them to successfully adapt to evolving technologies throughout their professional careers.
  • To provide extensive experience in complicated software development for real-world situations and to prepare students for jobs and advanced education.
  • To educate students on good cooperation, communication, and interpersonal skills so that they can work effectively with others in their future employment.
  • To prepare students to act ethically and responsibly together with an awareness of ethical, social, global, legal, security, and professional concerns. 

 

 

SALIENT FEATURES

 

State-of-the-art Computing Labs: High computing labs powered by NVIDIA graphics card with GPUs (RTX3080), Deep learning Labs, and applied artificial intelligence labs with high-end configurations are being installed in department labs.

Well-Designed Curriculum: The curriculum has been designed as per the latest industry demands and its keeps emerging as per the requirement.

Choice Based Credit System (CBCS): Students have the option to choose program electives based on their interests. Program electives aiming towards eight specialization tracks in the field of computers.

Academic Flexibility: Students have the option to choose open electives from other domains (other than computer science) to enhance their skills and more scope for taking up case studies, projects, assignments, and vocational training including entrepreneurship.

Experiential Learning: Adapting projects based learning and incentivized research practices.

Global Exposure to Students: MoU signed with leading industries and academia to facilitate students with state of art technologies and to make them industry-ready. The Directorate of International Collaborations (DoIC) also facilitates collaborations and partnerships with institutions globally for academic strategies, Student Exchange Programs, Semester Abroad programs (SAP), student mobility (short or long term), and higher education opportunities. These all students' related international activities further serve the determination of enhancing academic standards to meet international dimensions.

Professional Memberships: Association with Computing Machinery (ACM), Computer Society of India, IEEE, and IEEE Women in Engineering (WIE).

Holistic Development of Students: Music, Literature, and Dramatics Clubs facilitate students to show their prowess in the cultural arena, under the able guidance of expert faculty. Technical Clubs like the Green Club, Robotics Club, IEEE Students’ chapter, IE(I) and ICEIT chapters, etc. allow the students to learn and update themselves with the latest technologies and showcase their abilities in various fields, outside their scope of the study.

Placements: Placements assistance (Mock Drives/Interviews), Internships Assistance, Placement classes by the expert team of Training and Placement.

 

 

AREA OF SPECIALIZATION

 

The department offers specializations in several important and emerging areas for the CSE minor. A student can graduate with specialization by taking specific program electives from the Vth semester onwards. At the school level following specialization is offered to the UG students.

  • Cyber Security
  • Cloud Computing
  • Data Analytics
  • Computer Vision
  • Data Science
  • Web Technologies
  • Computational Intelligence
  • Sensors Networks and IoT

Apart from above mention specialization, the student can take additional program electives in the following emerging area of the computing domain - High-Performance Computing, Machine Learning, Cloud Computing, VANET Security, Sentiment Analysis, Cryptography, Image Processing, Data Mining, Information Retrieval, Information Security, Internet of Things, Malware Detection, Computer Vision, Approximation Algorithms, Artificial Intelligence, Software Engineering, Databases, Big Data Analytics, Real-Time Application, Mobile computing, Distributed Computing, Soft Computing, Network & Security, Advanced Computer Arch., Automata Theory, Security in Ipv6 (Mipv6).

 

 

CAREER OPPORTUNITIES

 

  • Data Analyst / Scientist
  • Software developer / Manager
  • Network Security Manager
  • Cyber Security Analyst
  • Database designer & Manager
  • Computer scientist
  • Full-stack and Salesforce Developer
  • Computer Vision Researcher and Developer
  • Machine Learning Researchers and Engineer
  • AI Engineer.
  • Data Scientist.
  • Business Intelligence (BI) Developer.

 

 

COLLABORATION

 

To prepare students profession and industry ready, the department is having collaborations with the following renowned IT industries:

 

  • EC Council
  • CompTIA
  • Crypto University
  • VM Ware IT Academy
  • Microsoft Imagine Academy
  • Dell Technologies
  • CISCO Network Academy
  • Secure Meters
  • IBM Academy
  • Oracle Academy
  • RedHat Academy

 

 

 

MEMORANDUM OF UNDERSTANDING (MoU)

 

 

DEPARTMENT HIGHLIGHTS

 

PROGRAMS

 

 

The Department of Computer Science and Engineering, School of Computing & IT, FOE offers the following programs:

 

 

PLACEMENT DATA

  • CLICK HERE to see students of Computer Science & Engineering placed in companies.

HIGHER STUDY DATA

  • CLICK HERE to see students of Computer Science & Engineering 

 

INTERNSHIP DATA

  • CLICK HERE to see Internship details of Computer Science & Engineering students.

 

 

FACULTY

 

CLICK HERE to see Computer Science Engineering Faculty List

Department of CSE is delegated to delivering the experience-based, industry-ready, research-led environment for our students to become global leaders.

Prof (Dr) Sandeep Chaurasia

Head, Department of Computer Science and Engineering

EVENT DATA

 

 

 Click Here for Events in Department of Computer Science & Engineering

FACILITIES

RESEARCH

 

The areas of research include - High Performance Computing, Machine Learning, Cloud Computing, VANET Security, Sentiment Analysis, Cryptography, Image Processing, Data Mining, Information Retrieval, Information Security , Internet of Things, Malware Detection, Computer Vision, Approximation Algorithms, Artificial Intelligence, Software Engineering, Databases, Big Data Analytics, Real Time Application, Mobile computing, Distributed Computing, Soft Computing, Network & Security, Advanced Computer Arch., Automata Theory, Security in Ipv6 (Mipv6).