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#Admission2024

MTech Intelligent System 2024: Top Colleges, Entrance Exam, Syllabus

2 Years
Degree
Post Graduation
Full Time

The Master of Technology (MTech) application in Intelligent Systems is designed to provide college students with advanced knowledge and abilties inside the field of Artificial Intelligence (AI) and Machine Learning (ML). It makes a speciality of growing intelligent structures that could understand, motive, examine and act autonomously to resolve complicated problems in a whole lot of domain names.

The curriculum covers a wide range of topics along with AI algorithms, deep mastering, herbal language processing, computer imaginative and prescient, robotics, reinforcement gaining knowledge of, and statistics evaluation Students find out about the theoretical foundations and sensible applications of shrewd structures, in addition to ethical considerations and social implications of AI generation.

MTech Intelligent System Admission Process

Eligibility Criteria:

  • Bachelor's Degree: Possess a B.Tech or B.Sc. degree in Computer Science, Information Technology, Electronics & Communication Engineering, or related fields with a minimum percentage as stipulated by the institution (typically 50-60%).
  • Mathematics Background: A strong foundation in mathematics, including calculus, linear algebra, and probability theory, is essential.
  • Entrance Exams: Many institutions require scores from national-level exams like GATE (Graduate Aptitude Test in Engineering) or institute-specific tests assessing your aptitude for advanced engineering studies.

Admission Process Overview:

Step Description
Meet Eligibility Criteria Ensure you meet the academic requirements and necessary skills.
Entrance Exams (if applicable) Register and take the required entrance exams, preparing well in advance.
Apply to Universities/Institutes Submit online or offline applications to your preferred institutions within the stipulated deadlines.
Shortlisting (based on scores/profile) Some institutions shortlist candidates based on entrance exam scores, academic performance, and relevant experience.
Interview/Group Discussion (may be required) Shortlisted candidates might undergo interviews or group discussions to assess their soft skills, communication abilities, and motivation.
Final Selection and Admission Based on all evaluation stages, institutions finalize the selection and offer admission to candidates.

Also, Check Master of Technology [M.Tech] (Structural Engineering)

MTech Intelligent System Course Eligibility

  1. Educational Background: Candidates must have completed a bachelor's degree in engineering or a related field from a recognized university or institution. Preferred disciplines may include Computer Science, Electrical Engineering, Information Technology, Mathematics, or a closely related field.

  2. Minimum Percentage: Many institutions have a minimum aggregate percentage requirement in the bachelor's degree, often ranging from 50% to 60%. However, specific percentage requirements may vary between institutions.

  3. Entrance Exams: Some institutions conduct entrance exams for admission to MTech programs, including Intelligent Systems. Candidates may need to qualify in these exams to be eligible for admission. Common entrance exams include GATE (Graduate Aptitude Test in Engineering) or institution-specific entrance exams.

  4. Work Experience (Optional): While not always mandatory, some programs may prefer candidates with relevant work experience in areas such as artificial intelligence, machine learning, data science, or software development. Work experience can strengthen an application but is not always required.

  5. English Proficiency: For international applicants whose native language is not English, most institutions require proof of English proficiency through standardized tests such as the TOEFL (Test of English as a Foreign Language) or IELTS (International English Language Testing System).

  6. Letters of Recommendation: Applicants may need to submit letters of recommendation from professors, employers, or professionals who can attest to their academic abilities, research experience, and potential for success in graduate studies.

  7. Statement of Purpose: Many programs require applicants to submit a statement of purpose outlining their academic and research interests, career goals, and reasons for pursuing an MTech in Intelligent Systems.

Also, Check Master of Technology [M.Tech] (Electronics and Communication Engineering)

MTech Intelligent System Entrance Exams

National-Level Exams:

GATE (Graduate Aptitude Test in Engineering):

  • Eligibility: B.E./B.Tech in Computer Science, Information Technology, or Electronics and Communication Engineering, or equivalent. Minimum 50-60% marks in qualifying degree (varies by institute).
  • Exam Pattern: Computer-based (CBT) objective type, covering Mathematics, General Aptitude, and subject-specific sections (Artificial Intelligence, Machine Learning, Computer Vision, Robotics, Natural Language Processing, etc.). Each section has 55 marks, totaling 100 marks. Additional 10-mark bonus section on Engineering Mathematics.
  • Duration: 3 hours.
  • Frequency: Once annually in February.
  • Validity: Scorecard valid for three years.
  • Universities and institutions accepting GATE scores: IITs, NITs, IISc Bangalore, IIITs, and many government and private universities.
  • Preparation Tips:
    • Thoroughly review GATE syllabus and previous years' papers.
    • Practice mock tests and sample questions.
    • Utilize subject-specific study materials, including online resources and coaching classes.
    • Focus on time management and accuracy.
    • Sharpen technical and analytical skills.

VSAT (VITEEE Specialized Test):

  • Eligibility: B.E./B.Tech in any relevant engineering discipline or M.Sc. in Computer Science/IT with minimum 50% marks.
  • Exam Pattern: Online (CBT) objective type, covering Quantitative Aptitude, Verbal Ability, Analytical Ability, and subject-specific sections (Data Structures, Algorithms, Discrete Mathematics, Computer Fundamentals, Operating Systems, Data Communication, etc.). Each section has 25 marks, totaling 100 marks.
  • Duration: 2 hours.
  • Frequency: Once annually in May.
  • Validity: Scorecard valid for one year.
  • Universities and institutions accepting VSAT scores: VIT Vellore and Chennai campuses.
  • Preparation Tips:
    • Refer to VSAT syllabus and official sample papers.
    • Analyze exam pattern and section-wise weightage.
    • Solve mock tests and previous year's questions under timed conditions.
    • Strengthen foundational concepts in related engineering and science subjects.

University-Specific Exams:

LPUNEST (Lovely Professional University National Entrance and Scholarship Test):

  • Eligibility: B.E./B.Tech in relevant engineering disciplines or M.Sc. in Computer Science/IT with minimum 50% marks.
  • Exam Pattern: Offline (pen-and-paper) or online (CBT) objective type, covering Quantitative Aptitude, English Language, Logical Reasoning, and subject-specific sections (Data Structures, Algorithms, Computer Fundamentals, etc.). Variable weightage for each section.
  • Duration: 2 hours.
  • Frequency: Twice annually.
  • Validity: Scorecard valid for one year.
  • Universities and institutions accepting LPUNEST scores: Lovely Professional University (LPU).
  • Preparation Tips:
    • Familiarize yourself with LPUNEST syllabus and exam pattern.
    • Practice with mock tests and study materials based on LPU's entrance exam format.
    • Focus on time management and accuracy.

GATA (Galgotias University Admission Test):

  • Eligibility: B.E./B.Tech in relevant engineering disciplines or M.Sc. in Computer Science/IT with minimum 50% marks.
  • Exam Pattern: Computer-based (CBT) objective type, covering Verbal Ability, Logical Reasoning, Quantitative Aptitude, and subject-specific sections (Probability, Statistics, Discrete Mathematics, Data Structures, Algorithms, etc.). Variable weightage for each section.
  • Duration: 2 hours.
  • Frequency: Twice annually.
  • Validity: Scorecard valid for one year.
  • Universities and institutions accepting GATA scores: Galgotias University.
  • Preparation Tips:
    • Access GATA syllabus and model question papers.
    • Practice mock tests and analyze performance across sections.
    • Seek guidance from mentors or coaching institutes if needed.

Also, Check Master of Technology [M.Tech] (Thermal Engineering)

MTech Intelligent System Syllabus 2024

Course Name Content Description (100 words)
Artificial Intelligence Introduction to AI concepts, problem-solving methods, search algorithms, knowledge representation, reasoning, planning, learning.
Machine Learning Supervised learning (regression, classification), unsupervised learning (clustering, dimensionality reduction), reinforcement learning, model selection, evaluation.
Deep Learning Neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), deep reinforcement learning, applications in computer vision, natural language processing, robotics.
Data Mining Data warehousing, data preprocessing, data mining techniques (association rule mining, classification, clustering), big data analytics.
Computer Vision Image processing, feature extraction, object detection, image segmentation, pattern recognition, applications in autonomous vehicles, medical imaging.
Natural Language Processing Text analysis, text representation, language modeling, machine translation, sentiment analysis, chatbots.
Robotics Robot kinematics, dynamics, control systems, robot perception, planning, navigation, human-robot interaction.
Optimization Techniques Linear programming, nonlinear programming, dynamic programming, evolutionary algorithms, applications in resource allocation, scheduling, decision making.

Top Private Master of Technology [M.Tech.] (Intelligent System) Colleges in India with Fee Structure

Tabulated below is the collection of the Top Private Master of Technology [M.Tech.] (Intelligent System) Colleges in India with Fee Structure, including their key features.

Name of the institute Fees
IIIT Allahabad INR 251,536
MIT Art, Design and Technology University INR 1,500,000
Amrita Vishwa Vidyapeetham , Coimbatore INR 1,060,000
Also, Check Master of Technology [M.Tech] (Power System Engineering)

Top Master of Technology [M.Tech.] (Intelligent System) Colleges in India with Fee Structure

Tabulated below is the collection of the Top Master of Technology [M.Tech.] (Intelligent System) Colleges in India with Fee Structure, including their key features.

Name of the institute Course Name Fees Specialization
IIIT Allahabad Master of Business Administration [MBA] INR 251,536 General
Amrita Vishwa Vidyapeetham , Coimbatore Master of Business Administration [MBA] INR 1,060,000 Human Resource Management
Finance
Business Analytics
General
Marketing
Operations
Information Systems
MIT Art, Design and Technology University Global Master of Business Administration [GMBA] INR 1,500,000 --
Also, Check Master of Technology [M.Tech] (Electrical Engineering)

MTech Intelligent System Course Placements

Also, Check Master of Technology [M.Tech] (Information Technology)

MTech in the Intelligent System Important Books

Name of the book Author
Taming the Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics Bill Franks, John Wiley & Sons
Digital Speech Processing: Synthesis, and Recognition Sadaoki Furui, CRC Press
Speech and Language Processing Daniel Jurafsky and James H. Martin, Prentice Hall
Artificial Intelligence Elaine Rich, Kevin Knight and Shivashankar B Nair, Tata McGraw Hill
Deep Learning Ian Goodfellow, Yoshua Bengio and Aaron Courville, MIT Press
Algorithmic Game Theory N. Nisan, T. Rougharden, E. Tardos and V. V. Vazirani, Cambridge University Press
Cognitive Computing and Big Data Analytics Hurwitz, Kaufman, and Bowles, Wiley
Genetic Algorithms in Search Optimization and Machine Learning D. E. Goldberg, Addison Wesley
Introduction to Artificial Intelligence and Expert Systems Dan W. Patterson, Pearson Education
Machine Learning: An Algorithmic Perspective Stephen Marsland, Chapman and Hall/CRC

MTech Intelligent System Course Jobs and Salary

Job Profile Job Description Average Annual Salary
Heuristic Programmer A Heuristic Programmer inspects computer software to identify usability problems in the User Interface (UI) design. It specifically involves evaluators examining the interface and judging its compliance with recognized usability principles. INR 6,32,000
Robotics Engineer Robotics Engineers are responsible for designing, testing, and building robots that are productive and safe to operate as well as economical to purchase and maintain. INR 7,45,000
System Developer System Developers play a key role in the design, installation, testing and maintenance of software systems. INR 5,00,000
Software Developer A Software Developer plays a key role in the design, installation, testing and maintenance of software systems, aimed at helping businesses be more efficient and provide better services. INR 3,90,000
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