Learn from #1 University in Karnataka

M.Tech in Data Science and Machine Learning

  • Bangalore
  • 21 months
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Why learn from PES University?

Great Learning rank-1
#1 University in Karnataka

(New Universities Under 5 Years)

*KSURF
Great Learning certificate
Among India’s Most Trusted

PES University placed seventh on the list of India’s Most Trusted Educational Institutes

*KSURF
Great Learning rank-4
Top 25 M.Tech Colleges

PES University in the list of Top 25 M.Tech Colleges in India*

*Careerindia
Great Learning talent pool
#6 Ranked University

Outlook - ICARE India Private University Rankings 2019

*Outlook

Why Great Learning?

Great Learning Salary Hike

17

Top Ranked Programs

Great Learning rating icon

13500+

Learners

Great Learning job opportunity

1000+

Industry Experts

Great Learning course completion

250+

Industry Hiring Partners

Why Join our M.Tech in Data Science and Machine Learning?

This Program enables participants to gain an in-depth understanding of data science and analytics techniques and tools that are widely used by companies. It takes a very practical approach to teaching data science and analytics, and enables participants to apply their learning.

Great Learning rank-1
Ranked #1 in analytics education

Our program has been ranked #1 in India for 4 years in a row, and has an average rating of 4.8/5 across parameters like Course Content, Pedagogy, Faculty, and Brand Value.

Great Learning certificate
M.Tech Degree from PES University

Participants in this program (upon successful completion of all requirements) will earn a M.Tech Degree from PES University.

Great Learning rank-4
World class faculty

You gain from the decades of experience and expertise brought to the table by our faculty in data science domain. Several of our faculty have been ranked among India’s top Data Science academicians.

Great Learning talent pool
Intensive format

This Program enables participants to gain an in-depth understanding of data science and analytics techniques and tools that are widely used by companies.The classes will be held at PES University Electronics City Campus, and Great Learning online platform.

Great Learning rank-8
Hands-on learning

The course covers the tools and skills sought by leading companies in Data Science. Through the duration of the course, candidates are trained on Python, SQL, Tableau, Data Science and Machine Learning. Participants in the course build their knowledge through classroom lectures by expert faculty and doing multiple challenging projects across various topics and applications in Data Science.

Great Learning Placement Assistance
Placement assistance

Through our corporate network, several leading companies participate in the hiring drives organised for Great Learning students. Some of the companies that have recently participated in the hiring process include: Uber, Swiggy, Fractal Analytics, Oyo, KPMG, Mu Sigma, Mercedes Benz, Cognizant, Mahindra, Big Basket. more

Learn From #1 University in Karnataka

6.9L Average CTC | 15.6L Highest CTC | 150+ Hiring Companies

PES University Degree

Participants in this program (upon successful completion of all requirements) will earn a M.Tech Degree from PES University.

Great Learning - Data Science Engineering certificate

Curriculum

Data Science and Machine learning concepts will be covered in three modules in the first year, followed by an intensive capstone project and an industry internship in the second.

Module 1:
Statistical Foundations for Data Science
  • Statistics (Descriptive, Inferential)
  • Probability
  • Hypothesis Testing, ANOVA
  • Measures od Dispersion
  • Causality and ‘Fit’
  • Regression lines and error terms
Python for Data Science
  • Python basics, data structures & data handling
  • Functions
  • Numpy
  • Scipy
  • Scikit-learn
  • Pandas
Databases - SQL & NoSQL
  • Database concepts
  • Data Models
  • SQL
  • Comparison with NoSQL data stores
  • Common NoSQL tools like Cassandra & MongoDB
Module 2:
Data Visualization
  • Visualization principles
  • Exploratory Data Analysis (EDA)
  • Tableau for Visualization
  • Python packages for visualization
  • Presenting insights
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
  • Ensemble Techniques in Machine Learning - Decision Trees, Random Forests, Bagging, Boosting
  • Features of a Cluster - Labels, Centroids, Inertia
  • Eigen vectors and Eigen values
  • Principal component analysis
Module 3:
Intro to Deep Learning and its applications
  • Neural networks
  • Deep Neural Networks
  • CNNs and their application to Computer Vision
  • RNNs/LSTMs and their application to Natural Language Processing
Intro to Big Data Analytics
  • Intro to Hadoop
  • Spark & ecosystem of tools
  • HDFS
  • MapReduce
  • Batch processing (Hive, HBase, ingestion)
  • Real-time processing (Kafka, Spark Streaming)
  • Deploying ML code using ML pipelines on the cloud
Year 2:
Mandatory Capstone Project
Industry Internship

Learn from the Best

Learn from leading academicians and experienced industry practitioners in the field of data science.

* Indicative list of faculty

Placement Assistance

150+

Participating Companies

6.9 L

Average CTC

15.6 L

Highest CTC

Participants from the course can secure roles such as Data Scientists, Machine Learning Engineers, Data Analysts, Analytics Consultants, etc. Here are some of the companies that have recently participated in Great Learning’s hiring drives:

Great Learning M.Tech in Data Science and Machine Learning placements in leading companies

Admission Details

Step 1

Fill application form

Step 2

Application review

Admissions committee will review and shortlist.

Step 3

Admission Test

Write and clear the admission test.

Step 4

Interview

Interview with Program Director/Faculty.

Fee Details

Great Learning rupee icon 6 Lakh + GST

*5 Lakh + GST, if the entire program fee is paid
before batch commencement

Financial Aid

Our tie-ups with several lending partners like HDFC Credila, Aditya Birla and Eduvanz ensure that money is not a constraint in the path of learning.

Great Learning education loan financial partners by HDFC

Scholarship options available for candidates based on merit. Financial assistance is also provided.

Upcoming Application Deadline

Only 60 seats available per batch

Today

We follow a rolling admission process and admissions are closed once the requisite number of participants enroll for the upcoming batch. So, we encourage you to apply early and secure your seat.

Apply Now

Frequently Asked Questions

What is the program structure for M.Tech in Data Science and Machine Learning?
The program is a full-time classroom program and spans 21-months including a capstone project and an industry internship.
What is the Capstone Project all about and how exactly would it help me?
The capstone project is an opportunity for candidates to work on industry like data science and machine learning problems under the mentorship of faculty/industry mentors. This project would bring in all the learnings that candidates would have gained in the course and would work on problems relevant in the industry, using techniques and tools mastered in the course. The capstone project also becomes a way for candidates to showcase their analytics credentials and learning to their future employers.
What is the eligibility criterion for M.Tech in Data Science and Machine Learning?
Candidates should have a B.Tech, B.E or an M.C.A degree, and should have a minimum of 60% in X, XII and Bachelor's degree.
What certificate will I receive?
Successful participants will be awarded with an M.Tech Degree in Data Science and Machine Learning from PES University. PES University has been ranked as the #1 University in Karnataka (New Universities Under 5 Years). It has also been placed 7th on the list of India’s Most Trusted Educational Institutes. (*KSURF). Click here to view certificate.
How will I be evaluated during the course?
M.Tech in Data Science and Machine Learning is a holistic and rigorous course and follows a continuous evaluation scheme. Candidates are evaluated in the courses they undergo through examinations, case studies, quizzes, assignments, and project reports.
What is the course fee? Is there any financial aid provided?
Please refer to the fee details here. Admissions office will help you in applying for loans once you receive an offer of admission. We ensure money is not a constraint in the path of learning.
Where will the classes be held?
The classes will be held at PES University Electronics City Campus, and Great Learning online platform.
Do I need to bring my own Laptop?
The candidates need to bring their own Laptops, the technology requirement shall be shared at the time of admission.
What is the admission process?
All interested candidates are required to apply for the course through the online application form. The admissions committee will review and shortlist candidates. Shortlisted candidates are required to clear an admissions test followed by an interview with the Program Director/Faculty. Selected candidates will receive an admission offer letter.
What is the refund policy for the course?
We advise all candidates to have complete information before enrolling in the course. No refund requests will be accepted once the fee has been paid.
Will there be placements at the completion of the course?
Yes, candidates receive placement assistance upon successful completion of M.Tech in Data Science and Machine Learning. We would also prepare candidates for the interviews by providing extensive support in terms of mentoring, CV review, interview preparation, etc.
How can I apply for the course?
If you are interested, you can apply through the online application form. Please reach out to us at mtech-dsml@greatlearning.in or +91 96068 19202 for any course or admission related queries.