Programme Overview:
What are Intelligent Systems?
Master of Technology in Intelligent Systems programme is specifically designed for those who wish to explore, design and build systems that utilise Artificial Intelligence, Mathematical reasoning, extensive data sieving and other Smart Systems techniques. Application areas are expanding and diverse, which include smart robots, autonomous vehicles, intelligent sensing systems, Internet of Things, Smart City applications and Industry 4.0 applications, encompassing applications within medical, military, business and teaching in challenging areas.
What will I study in this course?
This M. Tech. programme emphasizes on the emerging area of Intelligent Systems which encompasses fields such as Computer Science, Communication and Electronics Engineering. The Intelligent Systems field focuses on smart, interactive web applications and systems, which are becoming an integral part of our daily lives, like personal assistants, shopping agents, facial recognition in a crowd and more. This programme emphasises on the concepts, techniques and methods and their application to the development of Intelligent Systems which are usable at home, in workplace, and in all man-machine interaction. In this programme, expertise is developed to design, build and engineer these systems through the courses which include – intelligent sensing systems, artificial intelligence, web technologies, data analytics, robotics, autonomous vehicles, guided missiles, Internet of Things, Smart City applications, Industry 4.0 applications and knowledge engineering.
Excellent Job opportunities exists across various sectors like business, manufacturing, engineering, and healthcare for those having skills in contemporary tools and techniques including, Analytics, Prediction, Forecasting, Classification, Clustering and Optimisation.
Intelligent systems software developers: A Software Developer plays a key role in the design, installation, testing and maintenance of software systems, aimed at helping businesses efficiently and provide better services.
Job positions include Heuristic programmer, User Interface designer, System developer and Robotic engineer, Machine Learning Specialist, Intelligent Systems Specialist, Robotic Systems Developers, Autonomous Vehicle Systems Developers, Vision and Sensing Systems Developers, Intelligent Process Automation Developers, Big Data Developers and Games Developers.
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Programme Duration
2 years (4 semesters)
Programme Type
Full – Time
Eligibility Criteria
The candidate should have passed in Bachelor’s Degree (B.E. or B.Tech.) / AMIE or equivalent in the relevant field and obtained at least 50% marks (45% in case of candidate belonging to reserved category) in the qualifying examination. In addition, the candidate must have also taken at least one of the following entrance exams: GATE / PGCET / CMRU Entrance Test.
Programme Structure
Note: Courses are revised and/or updated every academic year to synchronize with industry requirement.
Assessment and Evaluation
The University follows Choice Based Credit System (CBCS), which provides choice for students to select from the prescribed set of courses and earn credits. Students are awarded grades based on their performance for each courses in a semester and Semester Grade Point Average (SGPA), which is a measure of academic performance of a student in a semester. Cumulative Grade Point Average (CGPA) is used as a measure of overall cumulative performance of a student over all semesters. However, the CGPA is invariably calculated from second semester onwards to facilitate students to know their academic progress.
Every Programme has a prescribed Curriculum or the Scheme of Teaching and Evaluation. It prescribes all the courses/laboratory/other requirements for the degree and sets out the nominal sequence semester wise. Curriculum also includes SWAYAM and Massive Open Online Courses (MOOCs), offered by premier institutions. A student desirous of additional exposure to a course, without the rigors of obtaining a good grade, ‘audits’ a course that helps him to have an edge over others in placements.
The evaluation system to assess the student is comprehensive and continuous during the entire period of Semester, by the faculty who is teaching the course. Continuous Internal Evaluation (CIE) and Semester End Examination (SEE) constitute the major evaluations prescribed for each course, with only those students maintaining a minimum standard in CIE are permitted to appear in SEE of the course. CIE and SEE to carry 50% weightage each, to enable the course to be evaluated for a total of 100 marks, irrespective of its credits.
Before the start of the Academic session of each semester, a faculty may choose for his course Internal Assessment Test and a minimum of two of the following assessment methods with suitable weightage for each: Assignments (Individual and/or Group), Seminars, Quizzes, Group Discussions, Case Studies, Practical Orientation on Design Thinking, Creativity & Innovation, Participatory & Industry Integrated Learning, Practical Activities/Problem Solving Exercises, Class Presentations, Analysis of Industry/Technical/Business Reports, Reports on Guest Lectures/Webinars/Industrial Visits, Industrial/Social/Rural Projects, Participation in Seminars/Academic Events/Symposia or any other academic activity.
The Semester End Examination for all the courses for which students registered during the semester shall be conducted at the end of each semester. Some of the courses, where the student performance is evaluated through CIE, may not have SEE.
The makeup examination facility shall be available to those students who have appeared and failed in the SEE in one or more courses in a semester.
CALENDAR
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