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M.Tech. in Artificial Intelligence and Machine Learning 

  • Private Institute
  • UGCApproved
  • Estd. 1979

M.Tech. in Artificial Intelligence and Machine Learning
 at 
Work Integrated Learning Programmes 
Overview

Prepare for a career in AI & ML with India’s most comprehensive & world class AL-ML Programme without taking a career break

Duration

2 years

Total fee

2.87 Lakh

Mode of learning

Online-Real Time

Schedule type

Weekend - All

Official Website

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Course Level

PG Degree

M.Tech. in Artificial Intelligence and Machine Learning
Table of content
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  • Overview
  • Highlights
  • Course Details
  • Curriculum
  • Faculty
  • + 3 more items

M.Tech. in Artificial Intelligence and Machine Learning
 at 
Work Integrated Learning Programmes 
Highlights

  • Earn a degree after completion of the course
  • Case studies, projects and assignments for real world exposure
  • Fee payment can be done in installments
  • Learn from industry best faculty
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Details Icon

M.Tech. in Artificial Intelligence and Machine Learning
 at 
Work Integrated Learning Programmes 
Course details

Who should do this course?

For IT and Software professionals working as Software Engineer, Software Developer, Programmer, Software Test Engineer, Support Engineer, Data Analyst, Business Analyst

What are the course deliverables?

Understand the underlying ethical issues in applying AI and machine learning

Understand the system and software engineering requirements for implementing machine learning systems on large datasets

Demonstrate conceptual understanding and hands on knowledge of traditional and contemporary AI and machine learning techniques, including deep learning, and reinforcement learning

Demonstrate conceptual understanding and hands on knowledge of AI application areas such as natural language processing, computer vision, robotics or cyber security

More about this course

The programme covers widest variety of skill & knowledge areas, that helps IT professionals and Software developers build skillset required to advance their career as ML Engineers & AI Scientists, etc

The programme has an unmatched range & depth, and covers the widest variety of skill & knowledge areas required to develop advanced AI solutions

The programme offers a set of core courses and elective courses, allowing students to gain expertise in Advanced Deep learning, Computational Learning theory, Speech Processing, Natural Language Processing, etc

The programme makes use of Tools and Technologies including Tensorflow for Deep Learning and various Python libraries for data processing, machine learning, OpenCV for computer vision, NLTK for NLP etc.

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M.Tech. in Artificial Intelligence and Machine Learning
 at 
Work Integrated Learning Programmes 
Curriculum

Semester 1

Mathematical Foundations for Machine Learning.

Machine Learning

Introduction to Statistical Methods

Artificial and Computational Intelligence

 

Semester 2

Deep Neural Networks

Deep Reinforcement Learning

Elective 1

Elective 2

 

Semester 3

Elective 3

Elective 4

Elective 5

Elective 6

 

Semester 4

Dissertation

Faculty Icon

M.Tech. in Artificial Intelligence and Machine Learning
 at 
Work Integrated Learning Programmes 
Faculty details

Dr. G. Venkiteswaran
Dr. Venkiteswaran obtained his Ph. D in Industrial Mathematics from the Technical University of Kaiserslautern (TUKL), Germany, in the year 2003. After doing a post-doc at the Graduate School in TUKL for close to 18 months, he joined BITS, Pilani as a visiting faculty in the Department of Mathematics, in 2004.
Prof. Ankur Pachauri
Prof. Ankur Pachauri, is appointed as an Assistant Professor in the Department of Computer Science and Information Science, in WILP, Off-Campus center, Pune, since August 2015 and has teaching experience of over 9 years. He had done his schooling from a missionary school, then higher secondary from Kendriya Vidyalaya in the year 2000.

M.Tech. in Artificial Intelligence and Machine Learning
 at 
Work Integrated Learning Programmes 
Placements

ParticularsStatistics (2022)
Median SalaryINR 14.80 Lakh
View placement details

M.Tech. in Artificial Intelligence and Machine Learning
 at 
Work Integrated Learning Programmes 
Entry Requirements

General
GraduationUp Arrow Icon
  • 60%
Post GraduationUp Arrow Icon
  • N/A
Work ExperienceUp Arrow Icon
  • Minimum: 12 months

M.Tech. in Artificial Intelligence and Machine Learning
 at 
Work Integrated Learning Programmes 
Admission Process

    Important Dates

    Apr , 2025
    Course Commencement Date

    Other courses offered by Work Integrated Learning Programmes

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    M.Tech. in Artificial Intelligence and Machine Learning
     at 
    Work Integrated Learning Programmes 
     
    Frequently Asked Questions

    Q:   Is BITS Pilani WILP Tier 1 or Tier 2?
    A: 

    BITS Pilani is widely considered a Tier 1 institute in India for higher education, including its Work Integrated Learning Programmes (WILP). While the WILP programs are designed for working professionals and may not have the same visibility as its full-time programs, BITS Pilani's overall reputation, academic excellence, and industry connections maintain its standing as a top-tier institution.

    Its strong brand and industry-recognized degrees make WILP programs valuable for career advancement, especially for professionals in technical and managerial roles.

    Q:   How can I get into BITS Pilani - WILP for UG/PG courses? Am I eligible for admission?
    A: 
    BITS Pilani - WILP has below criteria for taking admissions to it's various courses:
    CoursesEligibility
    PG DiplomaEmployed professionals who hold M.Sc. (Electronics) are also eligible to apply
    M.E./M.TechEmployed professionals holding M.Sc, MCA or equivalent in relevant disciplines with at least 60% aggregate marks and minimum one year of work experience in relevant domains.
    MBA/PGDMEmployed professionals holding M.Sc or its equivalent with at least 60% aggregate marks, and minimum one year relevant work experience are also eligible.
    B.E. / B.TechWorking professionals holding Diploma in Engineering/ B.Sc. in relevant disciplines, with at least 60% aggregate marks and minimum of two years of work experience in relevant domains. The programme is designed for: Highly driven and ambitious engineers who wish to gain deep insight into Core Engineering, Manufacturing and Executive Management functions Experienced professionals aspiring to gain an overall competency in the popular technology domains, which sets them apart from narrow specialiszations
    M.Sc.Working professionals holding M.Sc./ MCA/ MBA or equivalent are eligible to apply.
    AskShikshaGPT on App
    Q:   What entrance exam scores are accepted by BITS Pilani WILP for admission M.Tech.?
    A: 

    BITS Pilani WILP does not require traditional entrance exam scores like GATE for admission to its M.Tech. programs. Instead, the admission process is based on the following criteria:

    1. Educational Qualification: A B.E./B.Tech. degree with at least 60% marks in the relevant field of study.
    2. Work Experience: Candidates should have a minimum of one year of relevant work experience in engineering, IT, or related sectors.
    3. Current Employment: Applicants must be employed at the time of application.

    There is no need for specific entrance exams like GATE, GRE, or others for the WILP M.Tech. programs. Instead, your academic background and professional experience are the key selection criteria.

    AskShikshaGPT on App
    Q:   Is it easy to get admission in BITS Pilani WILP?
    A: 

    The WILP program offers a range of courses, including M.Tech., B.Tech., MBA, M.Sc., Diploma, and Certificate Programmes. The program is designed for working professionals who want to elevate their skills without taking a career break.

    Some of the eligibility requirements for WILP programs include:

    • A minimum of 60% aggregate marks.
    • A minimum of one year of work experience in a relevant domain.
    • Adequate preparation in mathematics for those with a Technical Diploma or B.Sc.

    Admission to the Work Integrated Learning Programmes (WILP) at BITS Pilani is based on a number of factors, including academic achievements, work experience, and the profile of the candidate's employer and mentor. The application process is as follows:

    • The Admissions Cell reviews the application form and supporting documents for completeness and accuracy.
    • If the application meets the eligibility criteria, the candidate will receive an admission offer notification.
    • After paying the admission and semester fees, the candidate will receive further communication confirming the class schedule and access to online learning resources.
    Q:   Why B.Tech. is considered as the top course at BITS Pilani WILP?
    A: 

    B.Tech is ranked as the best course in the BITS Pilani WILP due to the relativity of the course, flexibility offer and reputation of the institution. Key highlights:

    - Duration: 4-6 years

    - Specializations: 14 (e.g.,; Computer science, mechanical, electrical)

    - Eligibility: Minimum of 10+2 examination, 6 months duration of work experience and minimum 60% in the last examined year.

    - Admission criteria: BITS WILP Admission Test

    - Fees: INR 65000- INR 85000/- per semester

    - Placement record: 90%+

    - Average salary: INR 8-12 lakhs per annum

    - Alumni network: 50,000+ professionals

    WILP’s B.Tech is valuable to working professional to upscale and build better careers for themselves at BITS Pilani.

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    M.Tech. in Artificial Intelligence and Machine Learning
     at 
    Work Integrated Learning Programmes 

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    M.Tech. in Artificial Intelligence and Machine Learning
     at 
    Work Integrated Learning Programmes 
    Contact Information

    Address

    BITS Pilani - WILP, Vidya Vihar
    Pilani ( Rajasthan)

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