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Computer Science & Engineering
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Best Computer Science & Engineering College In Faridabad

Department of Computer Science & Engineering has skilled and dedicated faculty that encourages students to participate in a variety of co-curricular activities, in addition to their studies. Majority of students in School of CS&IT have typically performed well in university examinations. Every year, a substantial number of students from our department are hired by national and worldwide corporations. The department also takes the lead in organising numerous inter/intra collegiate tournaments to help students enhance their skills. Students are also given the best possibilities to join professional groups like as ACM, IEEE, CSI, and others. Department is active in college NPTEL Local Chapter (rated with ‘A’ grade) through which students can join online courses offered by IIT’s.

Higher education, research, and consulting are all areas where the School of CS&IT excels. Kensley University and the City of GlosGlow have signed Memorandums of Understanding (MoUs) to provide students with industry-ready skills. EduSkills has a Memorandum of Understanding with a number of firms, including Paloalto, Celonis, Microchip, Juniper, Blue Prism, Red Hat, AWS, and Juniper, to help students become industry ready. The goal of these Memorandums of Understanding is to bridge the gap between academia and industry.

A High Performance Apple Lab and well-equipped computer facilities are available in the department. In addition, the department has cutting-edge infrastructure, including high-speed Internet, powerful software and hardware labs, a smart room with LCD projectors, and a Department Library. For students pursuing a Technical Bachelor's degree in Computer Science, the department offers four specialisations. Artificial Intelligence/Machine Learning, Data Science, Cyber Security, and Cloud Computing & Virtualization.

 

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Vision

To be a School committed to education, research and Innovation and develop globally competent professionals in the area of Computer Science, Information Technology and Computer Applications who are responsible citizens and have respect for life and sensitivity towards environment

Mission

  • To develop professionals and leaders in Computer Science, IT and allied areas who have right attitude and aptitude to serve the society;
  • To develop and maintain state-of-the-art infrastructure and research facilities to enable create, apply and disseminate knowledge;
  • To foster linkages with all stakeholders for continuous improvement in academics in Computer Science, IT and Computer Applications;
  • To develop human potential to its fullest extent so that intellectually capable and imaginatively gifted leaders can emerge who have deep respect for human life and values; and
  • To undertake disciplinary and inter-disciplinary collaborative research and innovation which offer opportunities for long term interaction with academia and industry and develop technologies relevant to the society.
visionmission

Student Testimonial

Dr. Bindiya Ahuja

PhD (CSE), ME(CSE), BE(CSE)
HOD In-Charge, Computer Science

HOD's Desk

The Department of Computer Science and Engineering (CSE) is committed to ensuring that its students have successful careers. Our department has generated hundreds of experts and has a national and international reputation. They have consistently excelled their peers in a highly competitive industry.

The Department’s excellent infrastructure and teaching faculty offer exceptional education, while the department’s Training and Placement Cell promises a bright future for its students. We greatly encourage research, teaching, and service to the profession, the local community, and industry to be innovative.

Over the years we’ve developed a distinct style and method that bridges the gap between theory and practice while remaining grounded in the fundamentals. We want our pupils’ education to set the foundation for a lifetime of study. Students are given a strong foundation in computer science and problem-solving strategies, as well as the ability to adapt to change. We believe that this to teaching-learning style, along with practical experience gained through Industrial Training at reputable firms, prepares our students to meet the problems that the software industry presents.

I wish all of the students and faculty members well in their academic endeavours.
Best Regards

Faculty

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Dr Nitin Mishra

Professor and Dean

Educational Qualification

B.Tech CSE,MTech CSE,Phd CSE

Area of Interest

Machine learning artificial intelligence recommended systems, AI based diagnosis of diseases

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Dr. Tapsi Nagpal

Associate Professor

Educational Qualification

PhD

Area of Interest

Fault diagnostics

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Dr. Manisha Vashisht

Associate Professor

Educational Qualification

Ph.D(AI/ML), MTech(IT), MTech(CS), Btech(CCS)

Area of Interest

Digital image Processing, Object detection

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Priyanka Rawat

Assistant Professor

Educational Qualification

Pursuing Ph.D., M.Tech(IT), B.Tech(CSE)

Area of Interest

Artificial Intelligence, Image Processing , Neural Network

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Komal Malsa

Assistant Professor

Educational Qualification

Pursuing Ph.D., M.Tech(CSE), BE(CSE)

Area of Interest

Image Processing, Machine Learning

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Anjali Sharma

Assistant Professor

Educational Qualification

Pursuing PhD,Mtech,Btech

Area of Interest

Data science

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Ms.Shivani Bansal

Assistant Professor

Educational Qualification

M.Tech(CSE),B.Tech(CSE)

Area of Interest

Image Processing,Network Security Management,Cryptography and Data Compression, Cloud Computing

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Shivani Gupta

Assistant Professor

Educational Qualification

M.Tech(CS)+B.Tech(CS)

Area of Interest

Machine learning, Artificial intelligence

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Chietra Jalota

Assistant Professor

Educational Qualification

Pursuing P.hd. (CS), M.phil(CS), MCA

Area of Interest

Data Mining, Machine Learning

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Km Anjli

Assistant Professor

Educational Qualification

Ph.D Pursuing, M.Tech(IT), B.Tech(CSE)

Area of Interest

Machine Learning, Artificial Intelligence

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Dr. Sharik Ahmad

Assistant Professor

Educational Qualification

PhD, MCA, UGC NET

Area of Interest

Machine Learning, Artificial Intelligence, Bioinformatics

Program Details

Duration 4 Yrs
Intake 180
Specialization AI & ML, Block
Chain, Cyber Security, Data Science,
IoT, Virtual & Augmented Reality
Eligibility Criteria Candidates should have passed with a minimum of 50% marks or equivalent in 10+2 Exam from a recognised board Physics,Mathematics and either Chemistry or Computer science subjects (PCM) combined.
Duration 2 Yrs
Intake 18
Eligibility Criteria Candidates should have passed with a minimum of 50% marks or equivalent in B.E/B.Tech in CSE/IT/ECE or MCA/M.Sc Computer Science or related field from a recognised board.
Eligibility Criteria Candidates should have passed with a minimum of 55% marks
and equivalent in M.E/M.TECH with 50% marks in Lingaya’s
Entrance Test (LET) or GATE score will be prefered.
fee

Career Opportunities

Software Developer

Software Developer

Web Developer

Web Developer

Content Developer

Content Developer

Web Designer

Web Designer

Marketing And Sales

Marketing And Sales

Tech Support and Repair

Tech Support and Repair

Professors of programming language

Professors of programming language

PCB Designer

PCB Designer

Desktop Support Engineer

Desktop Support Engineer

Game Developer

Game Developer

IT Employee

IT Employee

Network Systems Manager

Network Systems Manager

QA Tester

QA Tester

Systems Engineer

Systems Engineer

Visual Arts Coordinator

Visual Arts Coordinator

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