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B.Tech in CSE with Specialization in Artificial Intelligence and Data Science | Admission | Eligibility | Career Options After BHMCT | Top Recruiting Companies | Salary
B.Tech in CSE with Specialization in Artificial Intelligence and Data Science Eligibility, Career Options After B.Tech in CSE, Employment Area, Top Recruiting Companies, B.Tech B.Tech in CSE with Specialization in Artificial Intelligence and Data Science
Employment Areas: Software Developer, Deep learning Engineer, Computer Vision Engineer, Data Analyst, Software Engineer, Quantitative Analyst, Data Scientist, and Systems Engineers
B. Tech. CSE with a specialization in AI & Data Science degree program has seen exponential growth in the last few years. It is fueled by an explosion in the use of the Internet, extensive penetration of smartphones, increasing use of online services, social media, e-banking, and increasing incidents on Human workload. AI & Data Science is a well-established exciting specialization of Computer Science & Engineering concerned with methods to make computers or machines intelligent. So that they are able to learn from experience to derive implicit knowledge from the one given and to understand natural languages to determine the content of images to work collaboratively.
B.Tech in CSE AI and Data Science Eligibility
Minimum 60% marks in XII Std With PCM
Minimum eligibility for this course requires, passing the higher secondary school certificate (10+2)examination with science subjects such as maths, physics, and English as compulsory courses
B.Tech in CSE AI and Data Science Common Entrance Exam
All India Manipal University Online Entrance Test
Joint Entrance Examination SRMJEEE
JEE Mains
B.Tech in CSE AI and Data Science Require Skills set
Good Programming Skills.
Problem-solving skills.
Knowledge of basic Web Development.
Critical Thinking & Analytical Skills.
Basics of security, vulnerabilities, and cryptography.
Basics of Machine Learning.
Strong Data Structures and Algorithm skills.
B.Tech (Artificial Intelligence and Data Science) Syllabus
Semester-1
Semester-2
Computer Organization and Architecture
Calculus, Vector Spaces, and Laplace Transform
Ethics in Information Technology
Concepts of Entrepreneurship
Mathematical Foundations of Computing
Digital System Design
Programming for Problem Solving
Internet of Things
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Microprocessor and Microcontroller
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Python Programming
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MOOC-I
Semester-3
Semester-4
Data Structures and Algorithms
Computer Networks
Entrepreneurship and Product Development
Discrete Structure
Object-Oriented Programming
Design and Analysis of Algorithms
Partial Differential Equations, Probability, and Statistics