Artificial Intelligence Engineering Colleges in Delhi NCR

About Department

About AI & DS

DTC, Greater Noida offers a four-year undergraduate B. Tech. course in Artificial Intelligence and Data Science which aims to develop a strong foundation in students to get expertise in critical skills such as Artificial Intelligence, Machine learning, Data Science, Advanced Analytics and Mathematical modelling.

The main goal of Artificial Intelligence (AI) and Data Science is to equip students with statistical, mathematical reasoning, machine learning, knowledge discovery, and visualization skills.

During the past ten 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 Artificial Intelligence and Data Science Programme provides students the skills to perform intelligent decisions based on data analysis which is an important component in various real-world applications.

This course aims at providing not only the core technologies such as artificial intelligence, data mining and data modelling but also gives intensive inputs in areas of machine learning and big data analytics. Students will also gain cross-disciplinary skills across fields such as statistics, computer science, machine learning, and logic, data scientists.

This course is essential for the present digital world that incorporates the training and profound expertise on most recent innovative methodologies. The objective of this course is to equip students in creating workable solutions for issues faced by society through Service-Learning Modules.

Artificial Intelligence, Deep Learning, Digital Image Processing, Computer Vision and Video Processing, the program will be training its students in a range of exclusive courses like:

Biometrics
Dependable AI
Resource-constrained AI
Big Data
Data Engineering and Data Visualization
Stream Analytics
Social Network Analysis
Human-Machine Interaction
Augmented and Virtual Reality
Speech and Natural Language Understanding
Computational Neuroscience

This is the best branch for students looking for a career with exceptional prospective fields and challenging roles in a futuristic industry. The financial security, the freedom to relocate, and lifelong prospects of learning makes this programme an ideal career for computer science enthusiasts.

Job Prospects

Data Scientist
Data Engineer
Business Analyst
Data Analyst
Business Intelligence Engineer
Research Scientist
Big Data Engineer/Architect
Database Developer

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Programme Outcomes

Programme Outcomes (POs)

Computer Science Engineering graduates will be able to:

Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
Problem analysis: Identity, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using the first principles of mathematics, natural sciences, and engineering sciences.
Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for public health and safety, and cultural, societal, and environmental considerations.
Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
The engineer and society: Apply reason informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
Environment and sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.