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Overview

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Curriculum

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Fees

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Labs

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Achievement

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Career

About Artificial Intelligence and Machine Learning

Sandip University helps students receive industry-relevant, world-class education in AI and machine learning. Sandip University's B.Tech in Artificial Intelligence and Machine Learning covers the core concepts of machine learning and the fundamentals of artificial intelligence. It enables students to provide solutions to scientific, technical, and complex real-world problems. The program aims to teach students the basic concepts of Artificial Intelligence, Knowledge Representation, Intelligent Agents, Natural Language Processing, Machine Learning, Cognitive Modeling, and the application of Artificial Intelligence in Blockchain and other technologies. Also, students can develop programming skills, mathematical reasoning skills, and communication skills.

Career Opportunities in Artificial Intelligence and Machine Learning

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Data Scientist

They focus on collecting, analysing and interpreting data for conclusions and observations, and developing successful solutions to market problems.

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Machine Learning Engineer

Machine Learning Engineers offer applications, linguistic analysis, statistics, mathematics, and more. Engineers create and manage self-running applications that power machine learning projects.

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Research Scientist

Researchers are engaged in detailed studies of machine learning and computer intelligence systems. Applicants must have a PhD or Master's degree in Mathematics or Computer Science.

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Business Intelligence Developer

In addition to AI, the market skills of business intelligence developers should also be considered.Identify different market patterns by analysing large datasets

StructureProgram Structure

Engilish Communication Skills Algebra and Differential Calculus
Environmental Studies Workshop
Applied Chemistry Engineering Mechanics
Demystifying AIML NSS/NCC/YRC/CLUBS*
Python programming
Applied Physics Engineering Graphics & CADD
Technical communication
Integral Calculus Introduction to Computing and C Programming Language
NSS/NCC/YRC/CLUBS*
Discrete Mathematics and Logic Digital Design and Computer Organization
Object Oriented Programming Data Structures
Supervised Learning Object Oriented Programming Lab
Data Structure Lab Supervised Learning Lab
Industry Internship
Modern Mathematics Object Oriented Programming in Java
Database management system Unsupervised learning and neural network
Professional Ethics Object Oriented Programming in Java Lab
Database management system Lab Unsupervised learning and neural network lab
English Communication and Soft Skill Foreign Language (French I / German I)
Formal Languages and Automata Theory Operating System
Advanced neural network Computer Networks
Natural language processing Advanced neural network lab
Natural language processing Lab Industry Internship II
Employability skill
Value Added Course (Any One)
Advanced Computer Networks IOT Architecture & Protocols
Design and Analysis of Algorithm Software Engineering and project management
Search Algorithms Computer Vision & Image Processing
Open Elective I Search Algorithms Lab
Computer Vision & Image Processing Lab Seminars
Professional skill
Open Elective I
Business Intelligence
Value Added Course (Any One)
Web Technology E-Commerce
Data Mining
Object Oriented Analysis and Design Robotics using AI
Programs of Quantum Computing Open Elective II
Object Oriented Analysis and Design lab AI using robotics lab
Programs of Quantum Computing Project Stage – I
Industry Internship III
Open Elective II
Web Development and services Planning Analytics
Value Added Course (Any One)
Introduction to Industry 4.0/ 5.0 Micro services Architecture and implementation
Introduction to Intellectual Property to Engineers and Technologists.
Program Elective I Program Elective II
Program Elective III Dissertation Stage - II
Program Elective I
Advance Software Engineering Software Project Management
Grid and Cluster Computing Machine Learning
Program Elective II
Neural Networks Soft Computing
Mobile Computing Ubiquitous Computing
Program Elective III
Information Storage and Retrieval Distributes System
Advanced Databases Embedded and Real Time Operating System

Fee Structure & Eligibility

Programme Sem Year Mode Eligibility Academic Fees
Per Year (INR)		 Special Fees
(Incl. Library Fee & Examination Fees)
Per Year (INR)		 Fees Per Year

SCHOOL OF COMPUTER SCIENCES & ENGINEERING (UG)
B. Tech CSE with specialisation in Artificial Intelligence and Machine Learning 8 4 Sem Passed 10+2 examination with Physics/ Mathematics / Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship as per table1.3(a) Agriculture stream (for Agriculture Engineering) Obtained at least 45% marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together
OR
Passed min. 3 years Diploma examination with at least 45% marks (40% marks in case of candidates belonging to reserved category) subject to vacancies in the First Year, in case the vacancies at lateral entry are exhausted. (The Universities will offer suitable bridge courses such as Mathematics, Physics, Engineering drawing, etc., for the students coming from diverse backgrounds to prepare Level playing field and desired learning outcomes of the programme). 		Rs 1,90,000/- Rs 10,000 /- Rs 2,00,000/-

SCHOOL OF COMPUTER SCIENCES & ENGINEERING (UG-LATERAL ENTRY)
B.Tech. Artificial Intelligence & Machine Learning 6 3 Sem Passed Minimum Three years/Two years (Lateral Entry) Diploma examination with at least 45% marks (40% marks in case of candidates belonging to reserved category) in Any branch of Engineering and Technology.
OR
Passed B.Sc. Degree from a recognised University as defined by UGC, with at least 45% marks (40% marks in case of candidates belonging to reserved category) and passed 10+2 examination with Mathematics as a subject.
OR
Passed D.Voc. Stream in the same or allied sector. (The Universities will offer suitable bridge courses such as Mathematics,Physics,Engineering drawing etc, for the students coming from diverse backgrounds to achieve desired learning outcomes of the programme) Refer table 1.10 of Appendix-1 		Rs 1,90,000/- Rs 10,000 /- Rs 2,00,000/-

Note:
  • Admission Form and Prospectus Rs. 1000/- (One Time).
  • Caution Money Rs. 1000/-
  • Hostel Fees Rs. 1,10,000/- per annum + 5000 (Deposit Rs 5, 000 at the time of Admission Only on Refundable basis)
  • Transportation Fees as applicable based on Route and Pick Up Point.
  • Uniform Cost Rs. 6000/-