Great Learning - M.Tech. in Data Engineering

4.7 /5

(3 Ratings)

Offered bySRM IST
A++ NAAC accredited
Deemed University
Estd. 1985

M.Tech. in Data Engineering
at
SRM IST
Overview

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

Duration	2 years
Total fee	₹5.00 Lakh
Mode of learning	Online
Difficulty level	Intermediate
Official Website	Go to Website
Course Level	PG Degree

M.Tech. in Data Engineering
at
SRM IST
Highlights

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

M.Tech. in Data Engineering
at
SRM IST
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 IST
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 IST
Placements

Particulars	Statistics (2023)
Average Salary	INR 7.10 Lakh
Highest Salary	INR 1.00 Crore
Median Salary	INR 6.00 Lakh

View placement details

M.Tech. in Data Engineering
at
SRM IST
Entry Requirements

Graduation Up Arrow Icon

N/A
Engineering Background: BE/B.Tech. any Stream with 50% marks. AMIE is accepted

Post Graduation Up Arrow Icon

N/A
Non – Engineering Background: MCA/M.Sc. in Maths/Statistics/Science streams /IT with 50% marks. In cases of non-Engineering candidates, PG marks will be considered for eligibility criteria & not the UG marks

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M.Tech. in Data Engineering
at
SRM IST
Students Ratings & Reviews

4.7/5

3 Ratings

4-5
2
3-4
1

Urmi Sarkar

M.Tech. in Data Engineering

Offered by SRM Institute of Science and Technology, Kattankulathur

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

Sarveshwaran Rajagopal

M.Tech. in Data Engineering

Offered by SRM Institute of Science and Technology, Kattankulathur

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

Tamilarasu J

M.Tech. in Data Engineering

Offered by SRM Institute of Science and Technology, Kattankulathur

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

View All 3 Reviews