Data Science Masters Program

Classroom - Mentor-led | 8 Months

Turn data into insights and solve problems intelligently.

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Data Science Masters Program
Hiring Partners:
How GreyAtom prepares you for a Data Science career
Understanding concepts is only half the journey of learning. The other half is turning that knowledge into skills, through practical application. Our approach is to train you in industry-relevant skills, and build an impressive portfolio to ensure your outcomes.
GreyAtom Image
Mentored program
Mentored program

We have hand-picked industry practitioners to take you through real problems that they solve on a daily basis. You will learn how the concepts in the classroom are used in real life.

Mixed structure model
Mixed structure model

Fixed interactive mentor sessions on the weekends, and flexible self-study sessions during the week.

Step out as a Data Scientist
Step out as a Data Scientist

Graduate from the program with a firm grounding in Data Science, ready to use your knowledge to solve business problems in any industry.

GLabs: a 24x7 learning environment
GLabs delivers an unparalleled learning experience. Complete with content, practice assignments, projects, hackathons, simulations and varied learning activities, it anchors your learning and enables your career transition. GLabs keeps you on track each day - each week - each month - to win the year. GLabs highlights learner improvement areas, current skill levels, guides on what to study next and much more.
Our delivery system is calibrated to ensure your success
200+

Instructor Hours

300+

Assignments

8

Guided Projects

3

Mentored Hackathons

What you will learn
A modular program where you will learn concepts by taking on real datasets. Learn to accurately analyse data to get valuable insights, and present findings, the program sharpens your skills in statistics, programming and modelling.
Module 1
Introduction to Data Science
  • 3 Courses
  • Learning Data Science - the GreyAtom way
    1 h
  • Data Science Program Orientation
    1 h
  • Introduction to Data Science
    2 h
Module 2
Getting Started with Python
  • 1 Course
  • Getting Started with Python
    5 h
Module 3
Handling Program Flow in Python
  • 1 Course
  • Handling Program Flow in Python
    8 h
Module 4
Manipulating Data using Numpy
  • 1 Course
  • Manipulating Data with NumPy
    5 h
Module 5
Data Wrangling with Pandas
  • 1 Course
  • Data Wrangling with Pandas
    8 h
Module 6
Data Visualization with Matplotlib & Git, Production code
  • 2 Courses
  • Visualize Data using Matplotlib
    3 h
  • Git, GitHub & Writing Production Grade Code
    2 h
Module 7
Guided Hackathon #1
    Module 8
    Summarizing Data with Statistics
    • 1 Course
    • Summarizing Data with Statistics
      7 h
    Module 9
    Introduction to Probability
    • 1 Course
    • Introduction to Probability
      10 h
    Module 10
    Making inference from Data
    • 1 Course
    • Making Inference from Data
      8 h
    Module 11
    Make your first prediction with Linear Regression
    • 1 Course
    • Make your first prediction with Linear Regression
      4 h
    Module 12
    Regularization
    • 1 Course
    • Regularization
      8 h
    Module 13
    EDA and Data Pre-processing
    • 1 Course
    • EDA & Data Preprocessing
      4 h
    Module 14
    Logistic Regression
    • 1 Course
    • Logistic Regression
      7 h
    Module 15
    Improving your model with Feature Selection
    • 1 Course
    • Feature Selection
      6 h
    Module 16
    Decision Trees
    • 1 Course
    • Decision Trees
      7 h
    Module 17
    Ensembling, Random Forest and Gradient Boosting Machines
    • 2 Courses
    • Ensemble methods
      8 h
    • Gradient Boosting Machines
      3 h
    Module 18
    Clustering
    • 1 Course
    • Clustering
      5 h
    Module 19
    Hackathon #2
    • 2 Courses
    • Solving Data Science problems for hackathon and capstone.
      1 h
    • How to Solve a Business Problem using Data Science
      2 h
    Module 20
    Hackathon #2
      Module 21
      Challenges in Machine Learning
      • 1 Course
      • Challenges in Machine Learning
        6 h
      Module 22
      Introduction to NLP and Sentiment Analysis
      • 2 Courses
      • Introduction to NLP
        6 h
      • Sentiment Analysis
        5 h
      Module 23
      Language Models
      • 1 Course
      • Language Models
        5 h
      Module 24
      Topic Modelling on Text
      • 1 Course
      • Topic Modeling
        5 h
      Module 25
      Parsing & Chatbot
      • 2 Courses
      • Parsing
        4 h
      • Understanding Chatbot using Rasa Tech Stack
        1 h
      Module 26
      Hackathon # 3
        Module 27
        Hackathon # 3
          Module 28
          Capstone Day #1
            Module 29
            Mock Interview Day
            • 1 Course
            • How to ace a Data Science Interview
              3 h
            Module 30
            Deployment #1
            • 1 Course
            • Deploying your Machine Learning model
              1 h
            Module 31
            Deployment #2
              Module 32
              Capstone Day #2
                Module 33
                Capstone Day #3
                  Module 34
                  Capstone Day #4 - DEMO DAY
                    Module 35
                    Self Paced Learning
                    • 2 Courses
                    • Hands-on Linear Algebra
                      9 h
                    • Support Vector Machines
                      5 h
                    Module 36
                    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.

                    Get a detailed prospectus

                    How the program works
                    Step-by-step transition into a Data Scientist

                    Learner prepares

                    Structured yet flexible, you will use GLabs to access a highly relevant curriculum and prepare for weekend sessions with the mentor. The material contains lessons, tasks and pre-identified activities to give you a thorough grounding in each module. In-session time is then meant for discussions or collaborative project work — all performed under expert guidance.
                    Image for Profile Tab
                    Meet a few of our mentors
                    Our mentors are the brightest data scientists you will encounter in the industry, bringing with them talent and experience from topnotch companies and academic institutions. Whatever you need, whenever you need – the in-house team and industry mentors are there for you. Their expertise in their field comes into the classroom each day.
                    Shantanu Kumar

                    Shantanu Kumar

                    Head of AI Products
                    inFeedo
                    Arunabh Majumdar

                    Arunabh Majumdar

                    Senior Data Scientist
                    Prudential UK
                    Manish Kukreja

                    Manish Kukreja

                    Data Scientist
                    Auckland DHB
                    Career Services
                    Career Services Image
                    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.

                    Connect to 170+ hiring partners
                    We've built and nurtured relationships with the best companies who trust us to train Data Scientists that are ready to solve their business problems skillfully.
                    Citibank
                    Deloitte
                    Yatra
                    Mactores

                    Success stories

                    We are invested in every learner success story, because we measure our achievements by yours. Here is what some of our learners have to say about their GreyAtom experience:
                    Nitika is Learner at GreyAtom

                    Nitika Goel

                    Data Scientist at MobiKwik

                    Loved their program. Awesome learning platform and very helpful interview prep.

                    Bhavesh Bhatt is Learner at GreyAtom

                    Bhavesh Bhatt

                    Data Scientist at Cuddle.ai

                    Multiple capstone projects at GreyAtom have helped me develop my skills on Big Data and all other elements of Data Science.

                    Shrishti Sawla is Learner at GreyAtom

                    Srishti Sawla

                    Data Scientist at Bharti AXA

                    It was an amazing experience to join GreyAtom - working with the peers, getting insights from the mentors and learning on an AI-powered platform, GLabs.

                    Program Fee and Batch Schedules
                    Choose any of the upcoming batches with flexi-payment plans. No cost EMI available.
                    Program Fee
                    Data Science Masters Program
                    Classroom - Mentor-led|8Months
                    $ 1,600
                    $ 2,000
                    You Save 20%

                    • Up to 20% scholarship for deserving applicants
                    • 300+ hours of online Practice
                    • 6 month access to the GLabs
                    • Access to 1:1 career coach and Hiring Network
                    Batch Schedules
                    January 19
                    Mumbai
                    Sunday
                    9:30 am ‐ 4:30 pm (IST)

                    Your passport to a bright future

                    On completion of your GreyAtom course, you will receive a certificate which you can share with friends, coworkers, peers and potential employers. It serves as proof of your accomplishment, and can be verified on the GreyAtom website by anyone you share it with through a unique ID.
                    Data Science Master Program Certificate
                    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

                    Future-proof your career; Learn Data Science.

                    With 150,000 Data Science job openings and rising, choose a program that will make you stand out with recruiters.

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