Mtech Machine Learning Engineering in Distance Education

Masters Of Technology Machine Learning Engineering In Distance Education | Correspondence | Part Time | Online

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UGC Approved

AICTE Recognized

AIU Member

WES Member

Duration:

2 Years (4 Semesters)

Universities:

1 University

Fees:

26,500/-

Per semester

Eligibility:

Candidates should have a B.Tech (Bachelor of Technology) or B.E. (Bachelor of Engineering) degree in Machine Learning Engineering or a related field.

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Program Overview

The M.Tech in Machine Learning program offers a deep dive into the world of data and algorithms. Students learn core topics such as supervised and unsupervised learning, deep learning, and data mining. The program includes hands-on lab work, real-world projects, and industry internships to give practical experience. Courses cover advanced areas like natural language processing, computer vision, and big data analytics. Ethical and legal aspects of AI are also explored. This program builds strong programming and analytical skills, preparing you for exciting careers in technology and data science.

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Educational Qualification: A bachelor’s degree in Mechanical Engineering or a related field, typically with a minimum 50%
Entrance Exam: Some institutions require you to pass a relevant entrance exam. Common exams include:
GATE (Graduate Aptitude Test in Engineering): Widely accepted by many institutions in India.
Institution-specific Entrance Tests: Some universities or institutes may have their own entrance exams.

Per semester 26,500/- (fee might vary university to university)

Minimum 2 years and Maximum 4 years program

Core Concepts:
Gain a deep understanding of supervised and unsupervised learning techniques.
Deep Learning:
Explore neural networks and their applications in various domains like image and speech recognition.
Practical Labs:
Engage in hands-on lab sessions to work with machine learning tools and frameworks such as TensorFlow and PyTorch.
Real-World Projects:
Apply theoretical knowledge to solve complex problems through real-world projects.
Industry Internships:
Gain valuable industry exposure and practical experience through internships.
Advanced Topics:
Study specialized areas such as natural language processing, computer vision, and big data analytics.
Ethical and Legal Aspects:
Learn about the ethical considerations and legal frameworks related to machine learning and AI.
Data Mining and Analysis:
Acquire skills in extracting meaningful insights from large datasets.

Comprehensive Curriculum:
Covers foundational and advanced topics in machine learning.
Deep Learning Focus:
Includes specialized courses on neural networks and their applications.
Hands-On Experience:
Practical labs with tools and frameworks like TensorFlow and PyTorch.
Real-World Applications:
Projects that apply machine learning concepts to solve real-world problems.
Industry Integration:
Internships providing exposure to industry practices and technologies.
Advanced Specializations:
Studies in areas such as natural language processing, computer vision, and big data.
Ethics and Legal Issues:
Includes coursework on the ethical and legal aspects of AI technologies.
Data Analysis Skills:
Training in data mining and deriving insights from large datasets.

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M.Tech Machine Learning Engineering

Rating: 4.2/5

26,500/-

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Key Role Of M.Tech. Machine Learning Engineering

Foundations of Machine Learning: Provides essential knowledge on supervised and unsupervised learning methods, laying the groundwork for more advanced study.
Deep Learning: Focuses on neural network architectures and their applications, such as image and speech recognition, essential for mastering complex machine learning models.
Practical Labs: Offers hands-on experience with machine learning tools and frameworks like TensorFlow and PyTorch, bridging theory with real-world application.
Real-World Projects: Enables students to apply their learning to solve practical problems, enhancing problem-solving skills and understanding of machine learning techniques.

Industry Internships: Provides practical exposure to industry practices, technologies, and real-world challenges in machine learning.
Natural Language Processing (NLP): Teaches methods for processing and analyzing human language, critical for developing applications like chatbots and language translators.
Computer Vision: Covers techniques for interpreting visual data, such as object detection and image classification, which are crucial for many AI applications.
Big Data Analytics: Focuses on handling and analyzing large datasets, an important skill for extracting insights and making data-driven decisions.

Talk to our academic counselors and know in detail how the program is designed to add in your career transformation.

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Introduction To M.Tech in Machine Learning Engineering

Course Snapshot

Earn your Online M.Tech while you work: No need to put your career on hold to pursue a degree.
Flexible schedule: Online study materials to fit in your busy schedule.
Get credit for your experience: The program may award credit for relevant work experience, potentially shortening your program time.
Build your network: Connect with a diverse group of working professionals and expand your professional network.
Focus on what matters: The program may tailor coursework to the skills you need to advance in your engineering career.

15+

Streams

100%

Regular Degree

10+

Industry Projects

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Admission Procedure

Online Form

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Enrollment

Get a call back from a counselor, submit and verify your documents, and proceed to enroll for the program of your choice

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Our Alumini

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CIIS has the most dedicated staffs, they were very patient enough to answer my never ending queries. They are very experienced in handling and guiding their students !! It was the most pleasant experience and journey with them. Looking forward to collaborate for another enriching student’s experience with CIIS. Thank you all.

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FAQs

Let’s Clear Your Doubts

CIIS is pioneer leading organization to provide Distance Education across world and traditional regular courses in India. We are imparting education to thousands of students and working professionals in India through various UGC, AICTE, Ministry of HRD Govt. of India approved national and internationally acclaimed Universities.

Time Flexibility
Affordable Fees and Flexible Payment Options
Individual Attention
Convenient Educational Methodology
Individual Counseling
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Excellent Globally Recognized Curriculum

The program typically spans two years, divided into four semesters.

Applicants generally need a Bachelor’s degree in Engineering, Technology, or a related field with a minimum percentage or CGPA as specified by the institution.

The program includes core subjects such as machine learning fundamentals, deep learning, natural language processing, computer vision, and data mining.

Yes, the program features hands-on lab sessions, real-world projects, and industry internships for practical experience.

Students will work with programming languages such as Python and machine learning tools and frameworks like TensorFlow and PyTorch.

Yes, students can engage in research projects and develop a thesis on a machine learning topic of their choice.

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