MTech in Micro Electronics and Control Systems Admission in School Of Engineering And Technology - Set 2024-25, Steps to Apply, Ranking In India And World, Average Fee

01-Jan-1970 12:00 AM

School Of Engineering And Technology - Set M.Tech in Machine Learning and Artificial Intelligence Admission 2024-25

School Of Engineering And Technology - Set is Private Institute. School Of Engineering And Technology - Set was established in 2000. School Of Engineering And Technology - Set Approved by AICTE. To positively contribute to the educational, economic, and sustainable development of the local communities and the region by providing high-quality, internationally recognized academic programs, which focus on developing professional skills and promoting employability. The Mission of School Of Engineering And Technology - Set is to be a global, socially conscious Center of Excellence in the conservation, creation, Advancement, and dissemination of knowledge, equipped to take up challenges of the enormous change taking place all around and committed to empowering its faculty and students to contribute meaningfully to economic, technological and social development. School Of Engineering And Technology - Set is Located in Jaipur-Rajasthan , Jaipur-Rajasthan. School Of Engineering And Technology - Set is equipped with many facilities such as a library, auditorium, emergency room, seminar hall, and residential facilities. The Duration of M.Tech Machine Learning and Artificial Intelligence is 2 Years Course Program.

School Of Engineering And Technology - Set Jaipur-Rajasthan Highlights

Institute Name	School Of Engineering And Technology - Set,Jaipur-Rajasthan
ESTABLISHED	2000
Approved By	AICTE
Type	Private
Address	Jaipur-Rajasthan, RajasthanIndia 302017
E-Mail
Official Website

Placements Process of M.Tech in Machine Learning and Artificial Intelligence at School Of Engineering And Technology - Set

School Of Engineering And Technology - Set placement cell organizes a series of in-house training courses/ workshops/seminars/guest lecturers for imparting extra knowledge and providing exposure, practical knowledge a skills to the student community and faculties. School Of Engineering And Technology - Set has a Training and Placement Cell that provides training and placement to help its students. School Of Engineering And Technology - Set placement cell organises activities and career & growth opportunities for the students. School Of Engineering And Technology - Set placement cell also facilitates campus placement drives for the placement of the students.

Top Recruiters of M.Tech in Machine Learning and Artificial Intelligence at School Of Engineering And Technology - Set

Bharti Axa
TOYOTA
Axis Bank
TATA

Application Process of M.Tech in Machine Learning and Artificial Intelligence at School Of Engineering And Technology - Set

Candidates seeking admission to School Of Engineering And Technology - Set should meet the eligibility criteria of the courses.
The eligible students are required to apply through the official website of School Of Engineering And Technology - Set.
The students should fill out the application form with the required information.
School Of Engineering And Technology - Set admission criteria of the courses and apply for the counseling process. For the application process and School Of Engineering And Technology - Set admission details check the information provided below:

Documents Required of M.Tech in Machine Learning and Artificial Intelligence at School Of Engineering And Technology - Set

Class 10 mark sheets
Class 12 mark sheets
Graduation mark sheets
Character certificate
Aadhar card
Passport sized photographs
Photocopy of the application form

Course Highlights of M.Tech in Machine Learning and Artificial Intelligence at School Of Engineering And Technology - Set

Course name	M.Tech in Machine Learning and Artificial Intelligence And Machine Learning
Duration	2 Years
Course Level	PG
Mode of Study	Regular
Admission Process	Merit-Based / Entrance Exam
Eligibility Criteria	Applicants should have a bachelor's degree in Engineering or Technology from a recognized university with a minimum aggregate score of 50%.

Eligibility Criteria of M.Tech in Machine Learning and Artificial Intelligence at School Of Engineering And Technology - Set

To pursue an M.Tech. (Master of Technology) degree at School Of Engineering And Technology - SetVisakhapatnam, aspiring candidates must meet certain eligibility criteria. Applicants should have a bachelor's degree in Engineering or Technology from a recognized university with a minimum aggregate score of 50%. Additionally, they should have a valid GATE score or should have qualified in the PGECET conducted by the Government of Jaipur-Rajasthan. Candidates who have completed their degrees through distance education or part-time mode are not eligible for admission. Meeting these requirements ensures that students possess the necessary academic foundation to excel in the M.Tech. program at School Of Engineering And Technology - Set.

Admission Process of M.Tech in Machine Learning and Artificial Intelligence at School Of Engineering And Technology - Set

Application Form: Obtain and fill out the application form from the institution’s website or admission office. This can often be done online.

Documentation: Prepare and submit necessary documents, which typically include:

Academic transcripts
GATE/GRE scorecard (if applicable)
Certificate of undergraduate degree
Passport-sized photographs
Statement of Purpose (SOP)
Letters of Recommendation (LOR)
Any other documents required by the institution
Personal Interview (if applicable)
Interview: Some institutions may conduct a personal interview or group discussion as part of the selection process. This is to assess the candidate’s motivation, problem-solving skills, and fit for the program.

Selection Process

Merit List: Based on the entrance exam scores, academic performance, and interview (if applicable), institutions will prepare a merit list.

Shortlisting: Candidates are shortlisted based on their overall performance in the entrance exam and academic records.

Fee Payment and Documentation

Fee Payment: Pay the admission and semester fees as per the institution’s guidelines.

Final Documentation: Submit any additional documents required for final admission, such as a medical certificate or proof of previous education.

Syllabus of M.Tech in Machine Learning and Artificial Intelligence at School Of Engineering And Technology - Set

Semester 1:

Introduction to Machine Learning
Supervised and unsupervised learning
Regression, classification, clustering
Evaluation metrics
Mathematics for Machine Learning
Linear algebra: matrices, eigenvalues, SVD
Probability and statistics
Optimization techniques
Data Structures and Algorithms
Basic and advanced data structures
Algorithm design and analysis
Complexity analysis
Programming for Data Science
Python/R for data analysis
Data manipulation and visualization
Libraries and tools (e.g., Pandas, NumPy, Matplotlib)
Introduction to Artificial Intelligence
AI concepts and applications
Search algorithms
Knowledge representation and reasoning

Semester 2:

Deep Learning
Neural networks and architectures (CNNs, RNNs)
Training and tuning deep models
Applications in vision, NLP, and more
Natural Language Processing
Text processing and representation
Language models and embeddings
Sequence-to-sequence models
Machine Learning Algorithms
Advanced machine learning algorithms (SVMs, decision trees)
Ensemble methods and boosting
Hyperparameter tuning
AI Ethics and Governance
Ethical considerations in AI
Bias and fairness
Regulatory and governance issues
Research Methodology
Research design and methodologies
Literature review
Writing and presenting research papers
Elective Courses

Semester 3:

Reinforcement Learning
Markov decision processes
Q-learning, policy gradients
Applications in robotics and game theory
Computer Vision
Image processing and feature extraction
Object detection and recognition
Image generation techniques
Big Data Analytics
Hadoop and Spark
Data warehousing and ETL processes
Distributed computing
Robotic Process Automation
RPA concepts and tools
Automation strategies
Real-world applications and case studies
Advanced Topics in AI
Generative models (GANs, VAEs)
Transfer learning
AI for specific domains (healthcare, finance, etc.)
Project Work and Dissertation

Semester 4:

Industry Project / Research Project
Application of machine learning and AI techniques to real-world problems
Collaboration with industry or academic researchers
Preparation and submission of project report
Dissertation / Thesis
Conduct independent research in a specialized area of machine learning or AI
Write and defend a dissertation based on original research

Facilities of M.Tech in Machine Learning and Artificial Intelligence at School Of Engineering And Technology - Set

Cafeteria	School Of Engineering And Technology - Set has a cafeteria to meet the food requirements of students.
Gym	School Of Engineering And Technology - Set has an outdoor gym. Students can avail the gym facilities for a quick workout session to keep up with their physical well-being.
Sports	School Of Engineering And Technology - Set has a Sports facility for all students. The campus is a sports lovers paradise with provisions for both indoor and outdoor sports. Other facilities like a dance room, yoga studio, music room, wellness center, and laundry are available.
Library	School Of Engineering And Technology - Set has a well-equipped library that caters to the information needs of students. School Of Engineering And Technology - Set library is well stocked with books, journals, articles, conference proceedings, etc that cover areas ranging from multi-disciplinary engineering disciplines, humanities, social sciences, mathematics, statistics, popular fiction, etc.
Laboratories	School Of Engineering And Technology - Set offers departmental-based laboratory facilities for students.
Auditorium	School Of Engineering And Technology - Set has an auditorium which is the venue for all School Of Engineering And Technology - Set events.
Hostel Facility	The campus consists of Several well-built hostel blocks, both for girls and boys with a capacity of many students. Each hostel consists of a separate mess, administrative office, and warden quarter. In addition to well-furnished rooms, the hostel is complete with facilities like a free high-speed Wi-Fi connection, a gymnasium, a medical center, and other amenities for shopping, sports, recreation, and entertainment. A shopping complex, consisting of about some shops, is constructed in the vicinity of the hostel blocks and caters to the daily needs of the students like groceries, stationery, laundry, and grooming.

Career Option of M.Tech in Machine Learning and Artificial Intelligence at School Of Engineering And Technology - Set

AI Data analyst
ML Engineer
AI Expert
ML Scientist
AI Data Annotation Expert
AI Research Scientist