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:
| S.NO | NAME OF THE BRANCH | DURATION | SEATS |
|---|---|---|---|
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:
| S.NO | NAME OF THE BRANCH | DURATION | SEATS |
|---|---|---|---|
| 1 | Computer Science & Engineering | 4 Years | 180 |
| 2 | Artificial Intelligence and Machine Learning (AI & ML) | 4 Years | 60 |
| 3 | 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.
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. 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.
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.
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