Duration
Average Fees
INR 90,000 - 1.5 LPA
Updated on Jan 4, 2023 by Kripal Thapa
Updated on Jan 4, 2023 by Kripal Thapa
M.Sc Artificial Intelligence subjects list and electives consist of in-depth science and computer syllabus, emphasizing graduates' knowledge. In addition to that, an M.Sc Artificial Intelligence course imparts specific knowledge in the subject areas to the students, such as science, computer programming, research, electives, mini-projects, and so on.
M.Sc Artificial Intelligence is a four-semester-wise syllabus. The subject includes Data Structure and Algorithm, Computer Networking, Internet Technologies, Machine Learning, and much more. The M.Sc Artificial Intelligence course is semester-wise, and the course curriculum comprises four parts: foundation, core, electives, and projects. The syllabus for M.Sc Artificial Intelligence semester wise are:
Semester I |
Semester II |
Computer Architecture and Organization |
Operating System |
Problem Solving and Programming in C |
Computer Networking |
Data Structure and Algorithm |
Database Management System |
Machine Learning |
Object-Oriented Programming |
Mathematics for Machine Learning |
Elective I |
Programming Lab |
Mini Project I |
Semester III |
Semester IV |
Soft Computing |
Research/ Internship |
Internet Technologies |
List of Electives (Semester 2) |
Mini Project II |
Data Analytics |
Elective II |
Digital Image Processing |
Elective III |
Artificial Intelligence |
Elective IV |
List of Electives (Semester 3) |
All the M.Sc Artificial Intelligence subjects taught in the M.Sc Artificial Intelligence course help the students understand the knowledge and pursue a better Ph.D. degree for the job scope in the future. The M.Sc Artificial Intelligence subjects like computer graphics, data networking, machine learning, etc are taught in the course curriculum.
Core subjects:
Electives:
The M.Sc Artificial Intelligence syllabus and course curriculum is structured into two categories, namely core and elective subjects. The course for the curriculum has been divided into four semesters and electives. The course structure has research and internships in the last semester. Some of the M.Sc Artificial Intelligence course details are:
The M.Sc Artificial Intelligence postgraduate degree course curriculum includes various teaching methods and techniques that help students understand multiple topics taught in their classes. Some of the different teaching methodologies and techniques adopted in the course curriculum of the course are as follows:
Project Topics for M.Sc Computer Science is a fantastic resource for students and researchers (Ph.D./MBA) looking to complete ground-breaking research. Students pursuing the M.Sc Artificial Intelligence project topics are website development, software development, data analyst, app materials and structures, operations and control, design and manufacturing, etc. The students can take the M.Sc Artificial Intelligence project topics based on their subjects and syllabus. Some of the M.Sc Artificial Intelligence are:
Best books for M.Sc Artificial Intelligence help students get a clear idea about various subjects and topics covered in the course curriculum. The M.Sc Artificial Intelligence books help to expand their knowledge and vision about multiple topics covered in their classes. Some of the very best M.Sc Artificial Intelligence books are:
Books |
Authors |
Algorithms to Live By: The Computer Science of Human Decisions |
Brian Christian and Tom Griffiths |
The Soul of a New Machine |
Tracy Kidder |
Hackers: Heroes of the Computer Revolution |
Steven Levy |
Code: The Hidden Language of Computer Hardware and Software |
Charles Petzold |
The Chip: How Two Americans Invented the Microchip and Launched a Revolution |
T.R. Reid |
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