Classroom - Mentor Led | 6 Months

Data Science Masters Program

Propel your career. Learn the in demand skills.

Data Science Masters Program
Hiring Partners:
Barclays
Citi Bank
Deloitte
Nielson
200+

Instructor Hours

300+

Assignments

8

Guided Projects

3

Mentored Hackathons


How GreyAtom prepares you for a Data Science career?
At GreyAtom, we invest into shaping your future as a Data Science expert. GreyAtom ensures that you possess industry-ready skills and a professional portfolio to launch a career.
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Build Essential Industry Skills
Build Essential Industry Skills

Be a Data Science expert when you step out. The Program help you develop a firm grounding in Machine Learning - from basics to applications.

Right Curriculum - Right Mentor
Right Curriculum - Right Mentor

Built ‘with’ and ‘for’ Industry. Tested with employers across industries. You persevere. With our ‘Get it Done’ approach, we get career transitions.

Launch Your Dream Career
Launch Your Dream Career

Work with your career coach - develop a winning portfolio, strong interview skills and access jobs relevant to your experience and domain.

What’s in there to learn?
The Data Science Master’s Learning Program by GreyAtom prepares you on how to take real data situations head on. From analysing data insights to presenting findings, the program sharpens your skills with respect to using statistics, programming & modelling.
Module 1
This module gives you an overview of the GreyAtom's learning principles as well as the birds eye view of Data Science domain
  • 2 Courses
  • Learning Data Science - the GreyAtom way
    1 h
  • Introduction to Data Science
    2 h
Module 2
If Data Science is a skill, the language through which it is picked up is Python. You'll learn python in an elaborate manner by performing tasks while learning the concept by solving real industry problems
  • 5 Courses
  • 1 Project
  • Getting Started with Python
    5 h
  • Handling Program Flow in Python
    8 h
  • Manipulating Data with NumPy
    5 h
  • Data Wrangling with Pandas
    7 h
  • Visualize Data using Matplotlib
    3 h
  • Olympic Hero
    2 h
Module 3
In this module, we will brush up the mathematical building blocks - probability, statistics, linear algebra as well as get introduced to the first few ML algorithms. The math is onboarded with intuition taking the front seat over jargon.
  • 6 Courses
  • Summarizing Data with Statistics
    7 h
  • Introduction to Probability
    10 h
  • Making Inference from Data
    8 h
  • Make your first prediction with Linear Regression
    4 h
  • Regularization
    8 h
  • EDA & Data Preprocessing
    4 h
Module 4
Get your hands on the next-level concepts of machine learning. You will become proficient in taking a real dataset build any predictive model to derive insights. These will take your machine learning mastery to the next level.
  • 3 Courses
  • Logistic Regression
    7 h
  • Feature Selection
    6 h
  • Decision Trees
    7 h
Module 5
Learn more about advanced algorithms for Supervised & Unsupervised Learning.
  • 6 Courses
  • Ensemble methods
    7 h
  • Gradient Boosting Machines
    3 h
  • Hackathon 101
    1 h
  • Clustering
    5 h
  • Challenges in Machine Learning
    6 h
  • Support Vector Machines
    5 h
Module 6
Explore the foundations of text data analysis as you deviate from numerical data. The module will prepare you to apply traditional machine learning algorithms.
  • 3 Courses
  • 1 Project
  • Introduction to NLP
    6 h
  • Topic Modeling
    5 h
  • Sentiment Analysis
    5 h
  • Domain classification of customer messages
    1 h
Module 7
Capstone Project
In this module, you will apply what you have learned in the previous modules. From business case studies to recommending solutions, you will finally be ready to step out in the real world.

Request a Detailed Syllabus

How it works

Learner prepares

GreyAtom Learning Platform - "GLabs" enables learners to access the Industry co-created curriculum & prepare for the weekend interaction with the Mentor. Learner go through materials, perform pre-identified activities. In-session time is reserved for activities such as discussions or collaborative work — all performed under mentor guidance.
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Meet the Mentors
Our mentors are the brightest data science talent from top notch companies & academic institutions. Whatever you need, whenever you need – the in-house team and industry mentors are there for you. They bring in-depth experience from the field to the classroom each day.
Rishabh Gupta

Rishabh Gupta

Senior Data Scientist
Jetstar Airways
Hemant Palivela

Hemant Palivela

Senior Manager
eClerx
Amitanshu Gupta

Amitanshu Gupta

Head - New Products & Business Initiatives `
Bharti Axa General Insurance
Career Services
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Kick-off - Career Resources
Kickoff
What you need to know to get a Data Science Job? How to get noticed by recruiters? Data Science Interview Process & understanding the Jobs.
Social Profile - LinkedIn
Create a solid LinkedIn profile so that recruiters can find you. Use LinkedIn to apply for jobs and send follow up messages to key decision makers.
Portfolio - GitHub
Build 2 Portfolio projects (from your hackathons/capstone) and showcase your superpower. Make your projects presentable, well documented and put them on GitHub.
Resume
Create a great resume that stands out and communicates the right information for the job. Your resume needs rework each time you apply for a new role.

Develop a winning software engineering portfolio, effective technical interview tactics, and more with your personal career coach.

Participate in Competition

Participate in Competition

Practice Mock Interview

Practice Mock Interview

Attempt Online Coding Tests

Attempt Online Coding Tests

"Love their program. Awesome learning platform and very helpful interview prep."
Career Services Image
Optimize Resume
Always tweak your resumes as per the requirement. Include relevant skills in your resume that are mentioned in JD
Get as many interviews as possible
Applying to jobs, giving multiple interviews and learning from it (Nobody gets through after 1st couple of interviews)
Retrospect
Attempting Interviews & incorporating feedback from the experts. Proactively ask for feedback
Apply → Interview → Learn → Revise
Hang in there at difficult times and stay motivated. Learners typically take 3 - 4 interview before they start getting offers.

170+ Companies Have Hired GreyAtom Graduates
Our learner start careers at some of the most aspirational companies.
Citibank
Deloitte
yatra
Mactores
One Platform to change the way we learn technology
'GLabs' - GreyAtom Learning Platform delivers an unparalleled learning experience. Complete with content, practice assignments, projects, hackathons, simulations and more - it anchors your learning and career transition. GLabs keeps you on track each day - each week - each month - to win the year. GLabs tells learner improvement areas, current skill level, what to study next and much more.
Start Learning
Program Fee and Batch Schedules
Choose any of the upcoming batches with flexi-payment plans. No cost EMI available.
Data Science Masters Program
Classroom - Mentor Led|6 Months

Program Fee
$ 1600 Pay in full
  • 300+ hours of online Practice
  • 6 month access to the GLabs
  • Access to 1:1 career coach and Hiring Network
Batch Schedules
July 28
Mumbai
Sunday
2:00 pm - 4:00 pm (IST)

August 24
Mumbai
Saturday
2:00 pm - 4:00 pm (IST)

September 15
Mumbai
Sunday
2:00 pm - 4:00 pm (IST)
Got Questions? We are all ears.

Typically, we have 4 batches starting each month. Click here to learn the dates of all the upcoming batches.

Yes - Read more about our Career Services and Career Coach.
Learners who successfully made career transition typically clock between 12 - 16 hours each week. This is in addition to in-session hours. GreyAtom Learning Platform - ‘GLabs’ helps us track the time spent learning.
We have convenient Weekend schedules that suit across learners across time zones. Talk to our counsellor to find a suitable batch.
GreyAtom Riya Shah
Riya Shah
For queries contact

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