Artificial Intelligence and Datascience: Where innovation meets technology, shaping the future of computing.
Artificial Intelligence and Datascience encompasses the study of both computer science principles and engineering practices. It focuses on the design, development, and application of computer systems and software, as well as the integration of computational techniques into various domains. This field explores topics such as algorithms, data structures, software development, computer architecture, networking, artificial intelligence, and more. With a strong emphasis on problem-solving and innovation, Computer Science & Engineering plays a pivotal role in shaping the modern digital landscape, driving advancements in technology, and addressing complex societal challenges.
Mathematics, Programming, Problem-solving, and Data Analysis
33000-60000
Indian Students
400
Duration(Hours)
$340
International Students
| METHODS | REGISTRATION FEE | PROGRAM FEE | TOTAL FEE |
|---|---|---|---|
| I. Lumpsum Payment Scheme
(Along with the filled up application) (For Indian Students) |
₹3,000 | ₹20,000 | ₹23,000 |
| I. Lumpsum Payment Scheme
(Along with the filled up application) (For International Students) |
$50 | $290 | $340 |
Note 1: GST of 18% is applicable as per Govt of India notification on total course fee.
Note 2: Students residing outside India need to pay additional fee towards courier charges.
E Prospectus and Application Form
Empowering through innovative solutions and technology integration.
Professional English - I
Matrices and Calculus
Engineering Physics
Engineering Chemistry
Problem Solving and Python Programming
தமிழர ் மரபு / Heritage of Tamils
Problem Solving and Python Programming Laboratory
Physics and Chemistry Laboratory
English Laboratory
Professional English - II
Statistics and Numerical Methods
Physics for Information Science
Basic Electrical and Electronics Engineering
Engineering Graphics
Programming in C
தமிழரும் ததொழில்நுட்பமும் / Tamils and Technology
Engineering Practices Laboratory
Programming in C Laboratory
Communication Laboratory / Foreign Language
Discrete Mathematics
Digital Principles and Computer Organization
Foundations of Data Science
Data Structures and Algorithms
Object Oriented Programming
Data Structures and Algorithms Laboratory
Object Oriented Programming Laboratory
Data Science Laboratory
Professional Development
Theory of Computation
Artificial Intelligence and Machine Learning
Database Management Systems and Security
Operating Systems and Security
Cryptography and Cyber Security
Environmental Sciences and Sustainability
Cryptography and Cyber Security Laboratory
Distributed Computing
Engineering Secure Software Systems
Embedded Systems and IoT
Computer Networks
Professional Elective I
Professional Elective II
Mandatory Course-I
Cyber Forensics
Network Security
Open Elective – I*
Professional Elective – III
Professional Elective – IV
Professional Elective – V
Professional Elective – VI
Mandatory Course-II
Human Values and Ethics
Elective - Management#
Open Elective – II**
Open Elective – III**
Open Elective – IV**
Summer Internship
Graduates in Artificial Intelligence and Datascience have a wide range of career opportunities, including software development, computer programming, web development, data analysis, cybersecurity, artificial intelligence, machine learning, network engineering, and more. They can work in various industries such as technology, finance, healthcare, education, government, and entertainment.
Success in Artificial Intelligence and Datascience requires a combination of technical skills, problem-solving abilities, and strong communication skills. Proficiency in programming languages such as Java, Python, C++, and JavaScript is crucial. Additionally, skills in algorithm design, data structures, database management, software development methodologies, and critical thinking are highly valued in the field.
The duration of a Artificial Intelligence and Datascience program can vary depending on the level of study and the institution. A bachelor's degree program usually takes four years to complete, while a master's degree program typically takes an additional one to two years. Doctoral programs may take three to five years or more to complete, depending on the research requirements and the student's progress.
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