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M.Tech. in Data Science and Engineering 

  • Private Institute
  • UGCApproved
  • Estd. 1979

M.Tech. in Data Science and Engineering
 at 
Work Integrated Learning Programmes 
Overview

The course is designed to provide advanced knowledge and skills in data science, big data analytics, and engineering techniques

Duration

2 years

Start from

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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 Data Science and Engineering
 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
Read more
Details Icon

M.Tech. in Data Science and Engineering
 at 
Work Integrated Learning Programmes 
Course details

Who should do this course?

Software and IT professionals working as Software Engineer, Programmer, Software Test Engineer, Support Engineer, Data Analyst, Business Analyst, who wish to transition to roles such as Data Scientist or Data Engineer should consider applying to this programme

What are the course deliverables?

Mathematical and Statistical modelling using concepts such as linear algebra and probability to model and solve physical problems

Data structures and algorithms and managing time and space-related complexities

Computer organisation, architecture and Operating systems and advanced techniques for data processing

Data Mining aspects including preprocessing, cleaning & classification, and Data engineering & processing through distributed computing and cloud computing

Advanced computing and analytical skills in areas such as Machine Learning, Artificial Intelligence, Deep Learning and Natural Learning Processing

More about this course

The programme will help working professionals build mathematical and engineering skills required to advance their career as a Data Scientist or Data Engineer

This Course helps learners master critical skills such as Mathematical modeling, Machine learning, Artificial Intelligence, Product development and scripting languages

The Dissertation in the final semester enables students to apply concepts and techniques learnt during the programme

The coursework requirement for the programme would consist of a set of core courses and electives

M.Tech. in Data Science and Engineering
 at 
Work Integrated Learning Programmes 
Curriculum

Semester 1

Mathematical foundations for Data Science

Introduction to Data Science

Computer Organization and Software Systems

Data Structures and Algorithm Design

 

Semester 2

Introduction to Statistical Methods

Elective 1

Elective 2

Elective 3

 

Semester 3

Big Data Systems

Elective 4

Elective 5

Elective 6

 

Semester 4

Dissertation

 

Electives

Data Warehousing

Graphs – Algorithms and Mining

Deep Learning*

Probabilistic Graphical Models

Ethics for Data Science

Optimization Techniques for Analytics

Natural Language Processing

Design of Experiments for Data Science

Information Retrieval

Data Visualization and Interpretation

Stream Processing and Analytics

Faculty Icon

M.Tech. in Data Science and Engineering
 at 
Work Integrated Learning Programmes 
Faculty details

Prof. Ankur Pachauri
Ankur has taught various courses on Algorithms, and Applied Mathematics courses. He has published a number of research papers in various reputed Journals and National & International Conferences Proceedings and they are cited by a large number of Researchers, from various countries. His area of research is Nature Inspired Algorithms, Evolutionary Algorithm, Search Based Software Engineering, Soft Computing and Graph Mining
Prof. Mohammad Saleem Bagewadi
Worked as a QA Network Engineer for 7 years in Juniper Networks and has worked on HighEnd/Core Router network technologies, Layer 2 and Layer 3 protocols. He has been actively involved in industry engagement, content development and delivery of course content. He is very passionate about teaching and getting his students inspired in pursing their educational and career goals. His main research interests are in the area of Networks and Security and Educational Research.

M.Tech. in Data Science and Engineering
 at 
Work Integrated Learning Programmes 
Placements

ParticularsStatistics (2022)
Median SalaryINR 14.80 Lakh
View placement details

M.Tech. in Data Science and Engineering
 at 
Work Integrated Learning Programmes 
Entry Requirements

General
GraduationUp Arrow Icon
  • 60%
Work ExperienceUp Arrow Icon
  • Minimum: 12 months

M.Tech. in Data Science and Engineering
 at 
Work Integrated Learning Programmes 
Admission Process

    Important Dates

    Nov 9, 2024
    Course Commencement Date

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    M.Tech. in Data Science and Engineering
     at 
    Work Integrated Learning Programmes 

    Student Forum

    chatAnything you would want to ask experts?
    Write here...

    Answered 2 years ago

    Hello Sitapati Mukherjee, there is no cutoff. However this course is open for admission presently only and only for working professionals. One needs to apply before 21Feb 22. Application is in online mode and classes are on weekends. You need to visit website fir applying. Best wishes to you.

    40332157
    Group Captain Vinayak Deo

    Scholar-Level 18

    M.Tech. in Data Science and Engineering
     at 
    Work Integrated Learning Programmes 
    Contact Information

    Address

    BITS Pilani - WILP, Vidya Vihar
    Pilani ( Rajasthan)

    Go to College Website ->