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

Data Scientist

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

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.

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.

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

Program Structure

Engilish Communication Skills	Algebra and Differential Calculus
Environmental Studies	Workshop
Applied Chemistry	Engineering Mechanics
Demystifying AIML	NSS/NCC/YRC/CLUBS*

Applied Physics	Engineering Graphics & CADD
Python programming	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)

Value Added Course (Any One)
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
Advanced Computer Networks	IOT Architecture & Protocols

Open Elective I
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
Business Intelligence
Value Added Course (Any One)
Web Technology	E-Commerce
Data Mining

Open Elective II
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
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 table 8.4 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) Minimum 4 Occupancy
Transportation Fees as applicable based on Route and Pick Up Point.
Uniform Cost Rs. 6000/-

PEO,PO,PSO,CO

Download CO'S

Program Educational Objective (PEO's)

PEO1	Graduate will have a strong foundation in mathematics, sciences and computer engineering to analyze and solve engineering problems to meet the needs of industry and society.
PEO2	Graduate will have an attitude for life-long learning in research and development by pursuing higher studies.

Programme Outcome

PO1	Engineering Knowledge: An ability to apply knowledge of computing and mathematics appropriate to the discipline.
PO2	Problem Analysis: An ability to analyze a problem, interprets data, and defines the computing system requirements which would be appropriate to the solution.
PO3	Design/ development of solutions: An ability to design, implement, and evaluate a computer-based system, process, component, or program to meet desiredneeds.
PO4	Conduct investigations of complex problems: An ability to apply creativity in the design of systems which would help to investigate the complex problem and provide software solution.
PO5	Modern tool usage: An ability to use the computing techniques, skills, and modern system tools necessary for practice as a CSE professional.
PO6	The engineer and society: An ability to analyses the local and global impact of computing on individuals, organizations, and society.
PO7	Environment and sustainability: An ability to develop and use the software systems within realistic constraints environmental, health and safety, manufacturability, and sustainability considerations.
PO8	Ethics: An ability in an understanding of professional, ethical, legal, security and social issues and responsibilities.
PO9	Individual and team work: An ability to function effectively on teams and individually to accomplish a common goal.
PO10	Communication: An ability to communicate effectively with a range of audiences by written and oral.
PO11	Project management and finance: Ability to plan, organize and follow best practices and standards so that the project is completed as successfully by meeting performance, quality at CMM level, budget and time.
PO12	Lifelong learning: An ability to engage in Lifelong learning and continuing professional development.

Programme Specific Outcome

PSO1	Professional Skills: An ability to analyze, design, develop and test software projects as per user requirements.
PSO2	Problem-Solving Skills: The ability to apply standard practices and strategies to deliver a quality product for business success.
PSO3	Successful Career and Entrepreneurship: The ability to use modern computer languages/tools, and platforms in creating innovative career paths to be an entrepreneur, and a zest for higher studies.

National Admissions

International Admissions