M.Tech (Computer Science and Engineering) with additional specialization in Data Science and Machine Learning

A full-time Masters degree program designed to help you build a rewarding career in data science

  • Amaravati
  • 2 Years
  • Placement Assistance

Enquire: 080-4718-9112

SRM University

A program by:

In collaboration with:

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Why Choose this Program?

Comprehensive Curriculum
  • Learn Data Science, Data Visualisation, Machine Learning, Deep Learning, Big Data, and more
  • Hands-on learning through lab sessions on Python, SQL, Tableau, and other Data Science tools & techniques
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Immersive Classroom Learning Experience
  • Offered in a Full-time classroom learning format
  • Classroom sessions at SRM University Campus, Amaravati, AP
Read More
Dedicated Placement Assistance
  • Exclusive campus hiring drives with leading analytics companies
  • 3300+ Hiring Companies, 66% Alumni Career Transitions, 50% Avg. Salary Hike
Read More
Working Professional
Comprehensive curriculum designed by industry experts
Career Support
Full-time classroom learning format
Salary Hike
M.Tech Degree from SRM University, AP
Industry Project
Dedicated Placement Assistance

Build your Data Science Career with a Master's Degree

Amaravati | 2 Years | Placement Assistance

M.Tech Degree from SRM University

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Curriculum

The curriculum for the program is a blend of academic courses, data science tools & techniques, and hands-on labs & projects.

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Curriculum
Python for Data Science
  • Python basics, data structures & data handling
  • Numpy
  • Scikit-learn
  • Functions
  • Scipy
  • Pandas
Statistical Foundations for Data Science
  • Statistics (Descriptive, Inferential)
  • Hypothesis Testing, ANOVA
  • Causality and ‘Fit’
  • Probability
  • Measures and Dispersion
  • Regression lines and error terms
Databases - SQL & NoSQL
  • Database concepts
  • SQL
  • Common NoSQL tools like Cassandra & MongoDB
  • Data Models
  • Comparison with NoSQL data stores
Machine Learning – 1
  • Supervised Learning - Classification (Logistic Regression, kNN, Naïve Bayes, Support Vector Machines)
  • Feature Selection
Machine Learning – 2
  • Unsupervised Learning - Clustering (k-means, hierarchical, etc.), PCA
  • Features of a Cluster - Labels, Centroids, Inertia
  • Principal component analysis
  • Ensemble Techniques in Machine Learning - Decision Trees, Random Forests, Bagging, Boosting
  • Eigen vectors and Eigen values
Data Visualization
  • Visualization principles
  • Tableau for Visualization
  • Presenting insights
  • Exploratory Data Analysis (EDA)
  • Python packages for visualization
Intro to Deep Learning and its applications
  • Neural networks
  • CNNs and their application to Computer Vision
  • Deep Neural Networks
  • RNNs/LSTMs and their application to Natural Language Processing
Intro to Big Data Analytics
  • Intro to Hadoop
  • HDFS
  • Batch processing (Hive, HBase, ingestion)
  • Deploying ML code using ML pipelines on the cloud
  • Spark & ecosystem of tools
  • MapReduce
  • Real-time processing (Kafka, Spark Streaming)
Hands-on Projects
M.Tech Thesis
Internship

*This is an indicative curriculum and is subject to change

Languages and Tools covered

    and more...

The Great Learning Advantage

Learn from a comprehensive curriculum taught by world-class faculty. Get guidance on your learning journey, and access dedicated career support.

CONVENIENT LEARNING FORMATS

Full-Time Classroom Learning

  • Immersive classroom learning sessions delivered by leading faculty from SRM University and Great Learning
  • Hands-on exposure through in-class lab sessions and projects
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STRUCTURED PROGRAM WITH GUIDANCE

Networking and Program support

  • Dedicated program manager to solve your queries
  • Interact with peers to grow your professional network
  • Mentorship from experts to gain industry insights

UNLOCK CAREER OPPORTUNITIES

Placement Assistance by Great Learning

  • 3300+ Hiring Companies
  • Interview preparation workshops to crack your dream job
  • Aptitude skill training and development
  • Dedicated hiring drives for roles in Data Science
Learn More

GL eXcelerate - Career Services platform

The course has been designed to help candidates jumpstart their careers in the field of Data Science and Machine Learning. Great Learning alumni have secured roles such as Data Scientists, Machine Learning Engineers, Data Analysts, Analytics Consultants, etc. in leading Analytics Companies.

3300+

Hiring Companies

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66%

Alumni Career Transitions

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  • 3300+ Hiring Companies
  • 66% Alumni Career Transitions

Program Fee

Full-time Classroom

View Fee Breakup

Great Learning rupee icon 5,00,000

M.Tech Degree from

  • 2 Year Program
  • Weekly classroom sessions from Mon-Thu
  • 6 Month Internship
  • M.Tech Thesis
  • Dedicated Placement Assistance

Installments plan for Full-time Classroom

Installments
Admission Fee Rs. 50,000
Before Batch Commencement Rs. 2,25,000
At the end of 12 Months Rs. 2,25,000
Total Rs. 5,00,000

Education loans facilitated by leading banks.

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Scholarship options available for candidates based on merit.

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Admission Process

  • Step 1 : Fill the application form

    Register by filling up the
    online application form.

  • Step 2: Admission Test & Interview

    Go through an admission test and a screening call with the Admission Director’s office.

  • Step 3: Join the Program

    If selected, you will receive an ‘offer of admission’ letter for the upcoming cohort. Secure your seat by paying the admission fee.

Upcoming Application Deadline

Admissions are closed once the requisite number of participants enroll for the upcoming cohort. Apply early to secure your seat.

Applications Opening Soon

Batch Start Date

Related Programs for you

Still have queries? Contact Us

Please fill in the form and a Program Advisor will reach out to you. You can also reach out to us at srm-mtech-ap@greatlearning.in or 080-4718-9112

Application Closes 21st Nov 2024

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Check out the program and fee details in our brochure

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