MNMJEC | ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

Artificial Intelligence And Data Science

The Bachelor of Technology (B.Tech) in Artificial Intelligence and Data Science (AI & DS) is a four-year full-time undergraduate programme offered by Misrimal Navajee Munoth Jain Engineering College, Chennai. The programme is approved by the All-India Council for Technical Education (AICTE) and affiliated with Anna University, Chennai.

The AI & DS programme aims to equip students with the knowledge and skills required to address complex, real-world problems such as web search, speech recognition, and machine translation through the application of advanced mathematical and computational tools. It provides a comprehensive overview of the principles, practices, and methodologies of Artificial Intelligence, emphasizing problem-solving, knowledge representation, reasoning, and learning techniques.

This programme offers advanced learning opportunities in emerging technologies, focusing on Artificial Intelligence, Machine Learning, Deep Learning, and Data Science. Artificial Intelligence involves simulating human intelligence through machines capable of performing tasks that typically require human cognition, while Data Science integrates analytical and computational approaches to extract meaningful insights from vast datasets.With the exponential growth of data-driven industries, AI & DS has become one of the most dynamic and in-demand fields in technology. The curriculum is designed to develop students’ expertise in building intelligent systems, applications, and solutions that combine analytics, visualization, and machine learning. Students gain interdisciplinary exposure to data acquisition and analysis from diverse sources such as sensors, images, videos, satellite feeds, and medical imagery.
The programme ultimately aims to cultivate the ability to design intelligent, adaptive, and ethical solutions for real-world challenges in domains such as Natural Language Processing, Text Mining, Robotics, Data Analytics, Reasoning, and Problem Solving. It explores AI methodologies across diverse disciplines—including neural networks, signal processing, control systems, and data mining—offering a unified approach to solving complex machine learning problems.

Description
P O
Programme Specific Outcomes
MOU
Staff Details

(B.Tech) in Artificial Intelligence and Data Science(4 Year Full time course)

To produce high quality, creative and ethical engineers and technologists contributing effectively for the ever advancing Artificial Intelligence and Data Science field.

To educate the future software engineers with strong fundamentals by continuously improving the teaching learning methodologies using contemporary aids.
To create a knowledge hub of Artificial Intelligence and Data Science with everlasting urge to learn by developing, maintaining and continuously improving the resources/Data Science
To produce ethical engineers / researchers by instilling the values of humility, humaneness, honesty and courage to serve the society.

1. To equip graduates with a solid understanding of mathematics, statistics, computer science, and engineering principles necessary for analysing, designing, and solving complex problems in Artificial Intelligence and Data Science.

2. To enable graduates to gain expertise in areas such as Machine Learning, Deep Learning, Big Data Analytics, Natural Language Processing, and Cloud Computing through theoretical learning and practical exposure.

3. To encourage graduates to innovate and develop intelligent solutions for real-world problems by fostering creativity, analytical thinking, and research aptitude.

4. To motivate graduates to continuously upgrade their technical and professional skills to adapt to the rapidly evolving technological landscape and pursue higher studies or successful careers in industry, research, and entrepreneurship.

5. To nurture a sense of professional ethics, environmental consciousness, and social responsibility among graduates to ensure their contributions benefit society at large.

1. Ability to design and implement intelligent systems and data-driven solutions using modern computational tools, frameworks, and algorithms for solving complex engineering and societal problems.

2. Ability to analyse, interpret, and derive insights from structured and unstructured data using appropriate statistical, analytical, and visualization techniques.

3. Ability to develop innovative, ethical, and sustainable AI-driven solutions that address industrial, societal, and environmental challenges through continuous learning and responsible application of technology.

Programming for Problem Solving
Python Programming
Machine Learning Techniques
Deep Learning
Robotic Process Automation
Robotics
Introduction to Data Science
Data Visualization
Natural Language Processing
Geometric Modelling
Internet of Things
Augmented Reality & Virtual Reality etc…

Business Analyst
Data Analyst
Intelligence Analyst
Data Manager
Information Security Analyst
Data Scientist
Artificial Intelligence Engineer
Machine Learning Architect

Engineering knowledge

Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems

Problem analysis

Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using 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 the public health and safety, and the 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 modelling to complex engineering activities with an understanding of the limitations.

The engineer and society

Apply reasoning 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 the 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.

The Department of Information Technology has signed the following MOUs.(Memorandum of Understanding).

Hyntech Business Solutions Pvt Limited.
Phoenix Systems.
Avancer Software Solutions Pvt. Ltd.
Pyroferus Technologies.

Enable graduates to design and harness the power of AI in broad application fields from vision to advanced autonomous systems.
Address skills required by data scientists to drive improvements in organizational performance
Examine large amounts of data to uncover hidden patterns, correlations, insights, and help organizations harness their data to identify new opportunities.
Obtain expertise to turn actionable insights and cutting-edge technology into innovative products towards solving real-world problems.
Inculcate independent research ability that addresses fundamental problems.