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Great Learning - M.Tech. in Data Engineering 

  • Offered bySRM Institute of Science and Technology
  • A++ NAAC accredited
  • Deemed University
  • Estd. 1985

M.Tech. in Data Engineering
 at 
SRM Institute of Science and Technology 
Overview

A comprehensive overview of the data engineering field, including its role in data science and analytics

Duration

2 years

Total fee

3.20 Lakh

Mode of learning

Online

Difficulty level

Intermediate

Official Website

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Course Level

PG Degree

M.Tech. in Data Engineering
Table of content
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  • Overview
  • Highlights
  • Course Details
  • Curriculum
  • Placements
  • + 3 more items

M.Tech. in Data Engineering
 at 
SRM Institute of Science and Technology 
Highlights

  • Earn a M.Tech. degree after completion of course from SRM University, NAAC A++ Grade
Details Icon

M.Tech. in Data Engineering
 at 
SRM Institute of Science and Technology 
Course details

Who should do this course?

For candidates who want to build a career in Data Engineering

For candidates who are looking to build a deep expertise in Data Engineering

For candidates, interested in building real-world Data Engineering skills such as Machine Learning, Deep Learning, Big Data, Python, SQL, TensorFlow and more

What are the course deliverables?

Latest data engineering tools and techniques

Data engineering frameworks

Python for Data Science

Statistical Foundations

Machine Learning

Deep Learning

Big Data Analytics

Data Visualization

More about this course

The M.Tech. in Data Engineering program is designed to equip students with the skills and knowledge needed to design, build, and maintain the infrastructure and systems that enable effective data management and analysis

This program emphasizes practical skills and theoretical foundations in data engineering, big data technologies, and data architecture

Classes: Weekend classes (Saturdays and Sundays)

M.Tech. in Data Engineering
 at 
SRM Institute of Science and Technology 
Curriculum

Python for Data Science

Python Basics

Data Structures & Handling

Functions

Numpy & Pandas

Scipy

Scikit-learn

 

Data Analysis and Visualization

Data Undersanding

Data Pre-processing

Structuring Analytic Problems

Data Storytelling

Visualization and Dashboard

Tableau

 

Database Management System

Database Concepts

Data Models and SQL

Sub Queries & Joins

Analytical / Window Functions

Transaction Processing - ACID Properties

 

Mathematical Foundation

Linear Algebra for Data Science

Vector and Matrices

Functions and Derivatives

Eigen Decomposition - PCA

Singular Value Decomposition

Optimisation and Loss Functions

 

Machine Learning

Supervised Regression

Exploratory Data Analysis

Linear Regression (LR)

Statistical Significance of LR

Feature Engineering

Regularization Techniques

Model Deployment

Supervised Classification

Logistic Regression

K-Nearest Neighbours

Decision Trees

Ensemble Techniques

Naive Bayes

Model Improvement

Unsupervised Model

Clustering Techniques

K-means Algorithm

Hierarchical Clustering

Dimensionality Reduction

Recommender System

Market Basket Analysis

 

Time Series Forecasting

Decomposition

Moving Average

Time Series Forecasting

Auto-correlation

ARIMA

SARIMA

 

Advanced Data Visualization

Structuring Analytic Problems

Analytical Framework

Visualization in Tableau

Interactive Dashboard

Storytelling

LODs

 

Deep Learning

Neural Networks

Tensorflow and Keras

CNN and Applications

Transfer Learning and Applications

Object Detection

Natural Language Processing

Text Analytics - Basics

Document Summarization and Classification

Web Scraping

Sequential Modelling

Transformers

 

Big Data Technology

Hadoop

HDFS and Map Reduce

NoSQL and MongoDB

Batch Processing (Hive, HBase)

Real Time Processing (Spark, Kafka)

 

Open Electives

Operations Research

Industrial Safety

Entrepreneurship and IPR

Business Analysis and Communication

Professional Ethics

 

M.Tech. Thesis

M.Tech. in Data Engineering
 at 
SRM Institute of Science and Technology 
Placements

Lock IconTop Recruiters for SRM Institute of Science and Technology
Accenture
Accolite
Aditya Birla Group
Amazon
Bajaj Finserv
Dell
Ford Motors
Maruti Suzuki
Microsoft
NOKIA
PayPal
Philips India
pwc
Redbus.in
Reliance
View placement details

M.Tech. in Data Engineering
 at 
SRM Institute of Science and Technology 
Entry Requirements

General
GraduationUp Arrow Icon
  • 50%
Post GraduationUp Arrow Icon
  • N/A
Other eligibility criteriaUp Arrow Icon

M.Tech. in Data Engineering
 at 
SRM Institute of Science and Technology 
Admission Process

    Important Dates

    ALL
    SRMJEEE (PG)
    Nov 29, 2025
    SRMJEEE (PG)-SRMJEEE PG Application Form 2026 Phase 1 last dateTentative
    Mar 7, 2026
    SRMJEEE (PG)-SRMJEEE PG mock test 2026 phase 1Tentative
    Mar 11, 2026
    SRMJEEE (PG)-SRMJEEE PG admit card 2026 phase 1Tentative

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    M.Tech. in Data Engineering
     at 
    SRM Institute of Science and Technology 
    Students Ratings & Reviews

    4.7/5
    Verified Icon3 Ratings
    U
    Urmi Sarkar
    M.Tech. in Data Engineering
    Offered by SRM Institute of Science and Technology, Kattankulathur
    5
    Review
    Other: I chose to upskill because the industry was going through a transformation phase from IT to AI. I wanted to be at par with the changing industry. The course is structured so beautifully that with just a little eort, it can be taken up along with pursuing a job. I could upskill myself along with my work and that is the main USP of this course. There was a lot of interaction amongst the learners and the faculty, and that helped in creating a competitive yet very comfortable environment.
    Reviewed on 5 Oct 2021Read More
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    S
    Sarveshwaran Rajagopal
    M.Tech. in Data Engineering
    Offered by SRM Institute of Science and Technology, Kattankulathur
    5
    Review
    Other: The professors delivered great classes and prepared modules that were easy to follow, the course structure was great. During the course, I was able to implement my learnings in my day-to-day activities simultaneously. I enjoyed the line of work and took up freelance projects. Due to networking with alumni in the course, I was able to create a powerful group of contacts whom I still talk to from time-to-time.
    Reviewed on 5 Oct 2021Read More
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    T
    Tamilarasu J
    M.Tech. in Data Engineering
    Offered by SRM Institute of Science and Technology, Kattankulathur
    4
    Review
    Other: The content was understandable to everyone. The learners in the course were from dierent backgrounds and experience levels. But, the faculty were able to explain all the concepts clearly, such that it was understood by everyone who took up the program.The faculty were competent in their knowledge. All the sessions were very interactive and that in turn, helped me in my career. The course curriculum was structured extraordinarily. It was in a step-by-step manner and this was very helpful.
    Reviewed on 5 Oct 2021Read More
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    M.Tech. in Data Engineering
     at 
    SRM Institute of Science and Technology 

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