Computer Science And Engineering

Courses
Under Graduate
Computer Science And Engineering

Bachelor of Computer Applications (BCA)

Eligibility: 10+2 with minimum 45% marks.

Course: 3 years Course

B.Tech in Computer science and Engineering (CSE)

Eligibility: Overall aggregate of 50% marks in 10+2 with PCM & English. The eligible candidate should also have a valid Overall aggregate JEE (main) score. Candidates who do not have valid JEE (main) score, will have to take Ansal University Entrance Exam (AUEE).

B.Tech in Computer science and Engineering – Internet of things and Blockchain B.Tech in Computer science and Engineering – Artificial intelligence and machine learning.

Eligibility: Overall aggregate of 50% marks in 10+2 with PCM & English. The eligible candidate should also have a valid Overall aggregate JEE (main) score. Candidates who do not have valid JEE (main) score, will have to take Ansal University Entrance Exam (AUEE).

B.Tech in Computer science and Engineering – Cyber Security- Knowledge partner Lucideus Technology Pvt.

Eligibility: A minimum aggregate of 60% marks in 10+2 Examination with Physics, Chemistry , Mathematics and Computer Science that is recognized by any State Board / Central Board

B.Tech in Computer science and Engineering with Specialization in DevOps & Automation - In association with Xebia

Xebia, has been recognized as a leader in DevOps by Gartner and Forrester and this course is created by Xebia to equip students with set of practices, methodologies and tools that emphasizes the collaboration and communication of both software developers and other information-technology (IT) professionals while automating the process of software delivery and infrastructure changes

BSc Computer Science with specialization in Artificial Intelligence

Computer science is concerned with understanding, designing, implementing and using computing systems, ranging in scale and complexity from the tiny components of a single processor to the globe-spanning Internet.
In computer science, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. Computer science defines AI research as the study of “intelligent agents”: any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals.
With growth of AI, there is a huge demand of professionals with such skills in industry. This programme is specially designed with the help of industry experts to equip students with skills required by industry.

Career opportunities

Computer Programmer
Systems Analyst
Software Developer
Hardware Engineer
DevOps Architect
Automation Engineer

Consultant
System Engineer
System Designer
Networking Engineer
Software Tester
Security Engineer

Database Administrator
Web Developer
E-commerce Specialist
Integration Specialist
Release Manager

Infrastructure

Computer science and engineering department is well equipped with all the facilities and labs such as Algorithms Lab, Web Programming Lab, Object Oriented Programming Lab, Electronic Circuits, IOT lab and Logic Design Lab. It provides students hands on experience and industry exposure.