Highest Package 20 LPA         NAAC Student Survey (Click Here)         GHRDC Ranking Survey 2023 certificate (Click Here)         Instruction for Registration on DigiLocker Accounts (Click Here)         Rank 4th by Times B school,BBA Edition, for Top Emerging BBA Institutes, Rank 6th by Times B school,BBA Edition, for Top Emerging BBA Institutes, Rank 10th of Top BBA colleges in India by GHRDC BBA colleges survey 2021, Rank 9th in the Northern Region by GHRDC BCA colleges survey 2021. (Click Here)

Department of Engineering

Department of Engineering

Department of Engineering

B.Tech. is a 4-year full-time undergraduate program affiliated to Guru Gobind Singh Indraprastha University (GGSIPU), Delhi and is approved by All India Council of Technical Education (AICTE).

Following is the Seats available in B.Tech. Program:

1 Computer Science & Engineering 4 Years 180
2 Computer Science & Technology (CST) 4 Years 60
3 Artificial Intelligence and Machine Learning (AI & ML) 4 Years 60
4 Artificial Intelligence and Data Science (AI & DS) 4 Years 60

Bachelor of Technology is a four years programme, spread over eight-semesters. The programme comprises of various core and elective subjects interspersed with summer trainings and internships. All the semesters are a blend of intense classroom learning and hands learning in outstanding laboratories.

The first year of the programme is the foundation courses in core engineering subjects with blend of Humanities and Applied Sciences. Third Semester onwards, students undergo advanced studies and enhance their skills in their core branches.

Course Objective
  • Acquire Strong Technical Skills those leads to make employable and self independent.
  • Be a good engineer with ethical values.
  • Conducive growth in academia and technology for higher education from abroad and premier institutions of India
  • Strong Communication Skills
  • Acquire the skills for Entrepreneurship
  • To apply technical skills to solve the problem of society.
  • To build the career as web developer and data scientists, researcher.
Course Highlights
  • Highly qualified and experienced faculty from llTs, NITs and other reputed institutes.
  • State of art infrastructure and wi-fi campus.
  • 5.5 Acres lush Green and well-developed campus
  • Well structured lectures with practical approach.
  • Regular interaction with corporate world for practical exposure.
  • Guest lecturers from leading Industry experts on prevailing Industrial practices.
  • Industrial Visits, Seminars, Workshops and technical activities.
  • Summer Internships/ Projects.
  • Personality Development Programme Sessions & Soft Skills.
  • Digital library with excess to online journals and books

B.Tech. in Computer Science and Engineering

This programme produces graduates with a broad understanding of the Computer Science and Engineering discipline giving them a competitive edge through robust curriculum and hands-on learning in niche technologies to develop competence that caters to the requirements of the industry. It primarily deals with the development as well as designing of computer software and hardware processes with a strong focus on courses related to algorithms, computation, programming languages, program design, computer hardware, computer software, databases, operating systems, computer networking, etc. that are needed to build and solve problems using computers.

B.Tech. in Artificial Intelligence & Machine Learning

B.Tech. AI & ML, the most emerging branch of the Computer Technology, concepts is changing the computation ability to achieve best predictive results in almost all the fields of business and research. This covers predictive analytics techniques, reinforcement leaning, neural network applications and deep learning etc which may bring tremendous value to an organization, enabling companies to take action with confidence. E- Governance is not possible without the AI & ML.

Most of the correct predictions and estimations are possible only because of the AI & ML in which the data is more important than the procedure. Course will equip students with basic mathematical and statistical techniques commonly used in pattern recognition in computer science and provides information about Bayes classification, nearest neighbor rule, neural networks and support vector machines. This course plays a pivot role in understanding problems characteristics for training the machines to produce the optimum solutions.

This programme produces graduates with a broad understanding of the Computer Science and Engineering discipline giving them a competitive edge through robust curriculum and hands-on learning in Artificial Intelligence and Machine Learning to develop competence that caters to the requirements of the industry. It is designed to enable students to build intelligent machines, software, or applications with a cutting-edge combination of machine learning, analytics, and visualization technologies. This programme discusses AI methods based in different fields, including natural language processing, text mining, robotics, neural networks, and data mining in order to present a unified treatment of machine learning problems and solutions.

B.Tech. in Artificial Intelligence & Data Science

Data Science is a new, exponentially growing field which consists of a set of tools and techniques used to extract useful information from data. As per the international report of 2021, data science is still on top #3 from jobs perspective and one of the most demanding technologies worldwide. During the past five years, data science has emerged as one of the most high-growth, dynamic, and lucrative career opportunities in healthcare, business, ecommerce, social networking companies, climatology, biotechnology, genetics, and other important areas.

The main objective of this programme is to learn algorithms and concepts to use on enormous data in creative ways to generate business value. Data Scientist helps the companies to make smarter business decisions. The students shall be industry ready after practicing these Data Science based algorithms, techniques and tools and their applications to various industries. The students will explore the practical components and analysing the data and extracting meaningful information out of huge amounts of data.

This is the best branch for students looking for a career with exceptional prospective fields and challenging roles in a futuristic industry.

Course Highlights
  • Data Scientist
  • Data Engineer
  • Machine Learning Engineer
  • Artificial Intelligence Engineer
  • Machine Learning Architect
  • Artificial Intelligence scientist in research and development industries like; IBM, Adobe, Microsoft.
  • Business Analyst
  • Data Analyst
  • Business Intelligence Engineer
  • Research Scientist
  • Big Data Engineer/Architect
  • Software Engineer/ Developer
  • Front End , WEB and System developers
  • System Analyst
  • JOBs in PSUs and Defense
  • Database Developer
  • Data mining and ETL expert
  • Mobile App Developer (Android, IOS)
  • Cloud Architect, consultant etc