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Master of Science in Artificial Intelligence and Machine Learning

Program Code

MSCAIML

Level

Post Graduate

Duration

2 Year

Department name

Department of Computer Science
Apply Now Course Material
Semester Sr no CourseCode Course CourseCredit
Sem-1 1 MSCAI 111 Mathematical Foundation 4
Sem-1 2 MSCAI 112 Problem Solving With Python 6
Sem-1 3 MSCAI 113 Artificial Intelligence 4
Sem-1 4 MSCAI 114 Object Oriented Concepts & Programming using C++ 6
Sem-1 5 MSCAI 115 Linear Algebra and Numerical Methods 6
Sem-1 6 MSCAI 116 Project - I 6
Sem-2 1 MSCAI 121 Numerical Optimization 4
Sem-2 2 MSCAI 123 Machine Learning 6
Sem-2 3 MSCAI 124 Computer Vision 6
Sem-2 4 MSCAI 125 Statistical Foundation 4
Sem-2 5 MSCAI 126 Project - II 6
Sem-3 1 MSCAI 211 Deep Learning Fundamentals 6
Sem-3 2 MSCAI 212 Elective-I 4
Sem-3 3 MSCAI 213 Elective-II 6
Sem-3 4 MSCAI 214 Project-III 14
Sem-3 5 MSCAI 212(1) Reinforcement Learning 4
Sem-3 6 MSCAI 212(2) Recommendation Systems 4
Sem-3 7 MSCAI 212(3) MOOCs 4
Sem-3 8 MSCAI 213(1) Natural Language Processing 6
Sem-3 9 MSCAI 213(2) Internet of Things 6
Sem-3 10 MSCAI 213(3) SQL for Machine Learning 6
Sem-4 1 MSCAI 221 Major Project 28
Intake
CourseType Shift
Sanctioned Intake
Fees
General EWS SEBC SC ST Male Female
HPP/Self Finance Morning 16 3 8 2 4 27000 27000
Eligibility Criteria
  • PO1: Develop a technical skill set for employability, entrepreneurship and a basic research aptitude
  • PO2: Develop technical skills through laboratory sessions, application development projects, research projects and develop self-directed experiential learning
  • PO3: Impart training that develop critical thinking, proficiency in the analysis of complex problems and the synthesis of solutions to those problems
  • PO4: Provide breadth and depth of knowledge in the discipline of Artificial Intelligence and Machine Learning
  • PSO1: Be able to create and manage Web Server
  • PSO2: Be able to create scalable web applications
  • PSO3: Be able to define research problem precisely
  • PSO4: Be able to design and develop dynamic mobile applications with focus on FOSS
  • PSO5: Be able to design dynamic websites / web applications using server side scripting with focus on FOSS
  • PSO6: Be able to design effective Human Computer Interfaces
  • PSO7: Be able to design static websites / web applications using client side scripting technologies
  • PSO8: Be able to develop and deploy mobile applications
  • PSO9: Be able to implement research methodology
  • PSO10: Be able to make web applications and websites secure using web security techniques
Academy Year Title Download

Gujarat University

Online Admission
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