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Data Science Master's Program

218 Ratings

Intellipaat’s online Master's in Data Science program lets you gain proficiency in data science. You will work on real-world projects in data science with R, deep learning, power BI, SQL, MongoDB, and more. In this program, you will cover 10 courses and 30 industry-based projects with 1 capstone project. As a part of online classroom training, you will receive five additional self-paced courses co-created with IBM namely deep learning with tensorflow, build chatbots with Watson assistant, R for data science, Spark MLlib, andRead More..

Ranked #1 Data Science Program by India TV

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8+
Courses
30+
Projects
232
Hours
  • Online Classroom Training
    • Course 1
      Python for Data Science

    • Course 2
      Machine Learning

    • Course 3
      AI and Deep Learning

    • Course 4
      Power BI

  • Self-Paced Training
    • Course 5
      Data Science With R

    • Course 6
      Advanced Excel

    • Course 7
      MongoDB

    • Course 8
      MS-SQL

    • Get Master's Certificate

Key Highlights

232 Hrs Instructor Led Training
104 Hrs Self-paced Videos
253 Hrs Project & Exercises
Certification
Job Assistance
Flexible Schedule
Lifetime Free Upgrade
Mentor Support
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Online Data Science Master's Program Overview

List of Courses Included

Online Instructor-led Courses:

  • Python for Data Science
  • Machine Learning
  • Artificial Intelligence and Deep Learning with TensorFlow
  • Power BI

Self-paced Courses:

  • Data Science with R
  • Advanced Excel
  • MongoDB
  • MS-SQL

In this data science masters program, you will learn about

  • MapReduce and HDFS
  • Real-time analytics with Spark
  • Data scientist roles and responsibilities
  • Prediction and analysis through clustering
  • Deploying the recommender system
  • Linear and logistic regression
  • Making sense of NoSQL data
  • Deep learning model in AI

There are no prerequisites for taking this data science graduate program.

  • Data scientist is the best job of the 21st century – Harvard Business Review
  • Global big data market to reach $122 billion in revenue by 2025 – Frost & Sullivan

This best Data Science Master’s program has been created keeping in mind the needs of the industry when it comes to the domain of data science. Today’s data scientists need to have a diverse set of skills which include working with huge volumes of data, parsing that data, and converting it into a format that is easily understandable, using which business insights can be derived. This training program lets you play multiple roles in the big data and data science domains and get hired for top-notch salaries.

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Who can apply for the course?

  • Professionals who aspire to be data scientists in top organizations
  • Data scientists who have a keen interest in upgrading their skills
  • Information architects
  • Machine learning and business intelligence professionals
  • Software developers
  • Project managers
  • Freshers and undergraduates can apply for the course as well
Who can apply

What roles does a data scientist play?

Data Scientist

Develops high-quality applications, apart from designing and implementing scalable code.

Analytics and Insights Analyst

Investigates reported problems in the quality of data and comes up with solutions to fix them.

AI and ML Engineer

Deploys models in SageMaker and use Lambda functions and API Gateway to integrate machine learning models in web applications.

Data Engineer and Data Analyst

Understands the data, data cleansing, data transformation, analyzes outcomes, and presents the result in the form of reports and dashboards.

Junior Data Scientist

Uses advanced statistical techniques and tools to understand operating behavior and create algorithms with advanced prescriptive and descriptive methods.

Applied Scientist

Designs and develops various machine learning models to help in deriving intelligence for business products.

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Skills to Master

Data Science with R

Python for Data Science

Machine Learning

Artificial Intelligence

Spark

Power BI

Data Blending

Advanced Excel

MongoDB

T-SQL

Database objects

MS-SQL

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Tools to Master

R python jupyter numpy Scipy hadoop spark tensorflow Power-BI-1 excel mongodb hive mapreduce Oozie sqoop apache-pig pyspark SQL SparkSQL
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Master's in Data Science Course Curriculum

Live Course Self Paced

Module 01 – Introduction to Data Science using Python
Module 02 – Python basic constructs
Module 03 – Maths for DS-Statistics and Probability
Module 04 – OOPs in Python (Self-paced)
Module 05 – NumPy for mathematical computing
Module 06 – SciPy for scientific computing (Self-paced)
Module 07 – Data manipulation
Module 08 – Data visualization with Matplotlib
Module 09 – Machine Learning using Python
Module 10 – Supervised learning
Module 11 – Unsupervised Learning
Module 12 – Python integration with Spark (Self-paced)
Module 13 – Dimensionality Reduction (Self-paced)
Module 14 – Time Series Forecasting (Self-paced)

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Tools covered

Tools Covered Tools Covered Tools Covered Tools Covered

Module 01 – Introduction to Machine Learning
Module 02 – Supervised Learning and Linear Regression
Module 03 – Classification and Logistic Regression
Module 04 – Decision Tree and Random Forest
Module 05 – Naïve Bayes and Support Vector Machine (Self-paced)
Module 06 – Unsupervised Learning
Module 07 – Natural Language Processing and Text Mining (Self-paced)
Module 08 – Introduction to Deep Learning
Module 09 – Time Series Analysis (self-paced)

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Tools covered

Tools Covered Tools Covered

Module 01 – Introduction to Deep Learning and Neural Networks
Module 02 – Multi-layered Neural Networks
Module 03 – Artificial Neural Networks and Various Methods
Module 04 – Deep Learning Libraries
Module 05 – Keras API
Module 06 – TFLearn API for TensorFlow
Module 07 – DNNS (deep neural networks)
Module 08 – CNNS (convolutional neural networks)
Module 09 – RNNS (recurrent neural networks)
Module 10 – GPU in deep learning
Module 11 – Autoencoders and restricted boltzmann machine (rbm)
Module 12 – Deep learning applications
Module 13 – Chatbots

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Tools covered

Tools Covered

Module 01 – Introduction to Power BI
Module 02 – Data Extraction
Module 03 – Data Transformation – Shaping and Combining Data
Module 04 – Data Modelling and DAX
Module 05 – Data Visualization with analytics
Module 06 – Power BI Service (Cloud), Q&A, and Data Insights
Module 07 – Power BI Settings, Administration & Direct Connectivity
Module 08 – Embedded Power BI with API & Power BI
Module 09 – Power BI Advance & Power BI Premium

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Tools covered

Tools Covered

Module 01 – Introduction to Data Science with R
Module 02 – Data Exploration
Module 03 – Data Manipulation
Module 04 – Data Visualization
Module 05 – Introduction to Statistics
Module 06 – Machine Learning
Module 07 – Logistic Regression
Module 08 – Decision Trees and Random Forest
Module 09 – Unsupervised Learning
Module 10 – Association Rule Mining and Recommendation Engines

Self-paced Course Content

Module 11 – Introduction to Artificial Intelligence
Module 12 – Time Series Analysis
Module 13 – Support Vector Machine (SVM)
Module 14 – Naïve Bayes
Module 15 – Text Mining

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Tools covered

Tools Covered

Module 01 – Entering Data
Module 02 – Referencing in Formulas
Module 03 – Name Range
Module 04 – Understanding Logical Functions
Module 05 – Getting started with Conditional Formatting
Module 06 – Advanced-level Validation
Module 07 – Important Formulas in Excel
Module 08 – Working with Dynamic table
Module 09 – Data Sorting
Module 10 – Data Filtering
Module 11 – Chart Creation
Module 12 – Various Techniques of Charting
Module 13 – Pivot Tables in Excel
Module 14 – Ensuring Data and File Security
Module 15 – Getting started with VBA Macros
Module 16 – Ranges and Worksheet in VBA
Module 17 – IF condition
Module 18 – Loops in VBA
Module 19 – Debugging in VBA
Module 20 – Dashboard Visualization
Module 21 – Principles of Charting
Module 22 – Getting started with Pivot Tables
Module 23 – Statistics with Excel

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Tools covered

Tools Covered

Module 01 – Introduction to NoSQL and MongoDB
Module 02 – MongoDB Installation
Module 03 – Importance of NoSQL
Module 04 – CRUD Operations
Module 05 – Data Modeling and Schema Design
Module 06 – Data Management and Administration
Module 07 – Data Indexing and Aggregation
Module 08 – MongoDB Security
Module 09 – Working with Unstructured Data

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Tools covered

Tools Covered

Module 01 – Introduction to SQL
Module 02 – Database Normalization and Entity Relationship Model
Module 03 – SQL Operators
Module 04 – Working with SQL: Join, Tables, and Variables
Module 05 – Deep Dive into SQL Functions
Module 06 – Working with Subqueries
Module 07 – SQL Views, Functions, and Stored Procedures
Module 08 – Deep Dive into User-defined Functions
Module 09 – SQL Optimization and Performance
Module 10 – Advanced Topics
Module 11 – Managing Database Concurrency
Module 12 – Programming Databases Using Transact-SQL
Module 13 – Microsoft Courses: Study Material

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Tools covered

Tools Covered
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Project Work

Projects will be a part of your data science architect master’s program to consolidate your learning. It will ensure that you have real-world experience in data science.

Career Transition

55% Average Salary Hike

$1,20,000 Highest Salary

12000+ Career Transitions

300+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

Master's in Data Science Certificates

This Data Scientist master’s program is created and delivered in association with IBM to help you land top jobs in the world’s best organizations. The training includes real-world projects and case studies after the completion of which, you will receive industry-recognized certifications from IBM and Intellipaat.

This training program aims to prepare you for the following certification exams:

  • Spark component of Cloudera Spark and Developer Certification (CCA175)
  • C100DEV: MongoDB Certified Developer Associate Exam
  • Microsoft 70-761 SQL Server Certification Exam
  • Microsoft 70-762 SQL Server Certification Exam
  • Deep Learning with TensorFlow
  • Python for Data Science
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Industry Trends

Peer Learning

Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, and make new friends – the possibilities are endless and our community has something for everyone!

class-notifications
hackathons
career-services
major-announcements
-collaborative-learning

Career Services

Career Services

Career Oriented Sessions

Throughout the course

Over 20+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These guided sessions will help you stay on track with your up-skilling objective.

Resume & LinkedIn Profile Building

After 70% of course completion

Get assistance in creating a world-class resume & Linkedin profile from our career services team and learn how to grab the attention of the hiring manager at the profile shortlisting stage

Mock Interview Preparation

After 80% of the course completion.

Students will go through a number of mock interviews conducted by technical experts who will then offer tips and constructive feedback for reference and improvement.

1 on 1 Career Mentoring Sessions

After 90% of the course completion

Attend one-on-one sessions with career mentors on how to develop the required skills and attitude to secure a dream job based on a learner’s educational background, past experience, and future career aspirations.

Assured Interviews

After 80% of the course completion

Assured Interviews upon submission of projects and assignments. Get interviewed by our 500+ hiring partners.

Exclusive access to Intellipaat Job portal

After 80% of the course completion

Exclusive access to our dedicated job portal and apply for jobs. More than 400 hiring partners’ including top start-ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth.

Meet Your Mentors

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Course Fees

Self Paced Training

  • 104 Hrs e-learning videos
  • Flexible Schedule
  • Lifetime Free Upgrade

$702

Online Classroom Preferred

  • Everything in Self-paced Learning
  • 232 Hrs of Instructor-led Training
  • One to one doubt resolution sessions
  • Attend as many batches as you want for lifetime
  • Job Assistance
19 Mar

TUE - FRI

07:00 AM TO 09:00 AM IST (GMT +5:30)

23 Mar

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

26 Mar

TUE - FRI

07:00 AM TO 09:00 AM IST (GMT +5:30)

31 Mar

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

$ 1499 $1,099 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise grade learning management system (LMS)
  • 24x7 Support
  • Enterprise grade reporting

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Master's in Data Science Reviews

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Online Data Science Master’s Program FAQs

What Is Intellipaat’s online Data Science Master's course and how is it different from individual courses?

The Master’s in Data Science India program is a structured learning path specially designed by industry experts which ensures that you transform into a data science expert. Individual courses at Intellipaat focus on one or two specializations. However, if you have to master data science, then this program is for you.

Intellipaat has been serving data science enthusiasts from every corner of the city. You can be residing in any country, be it India, Canada, USA, Philippines, Australia, or European countries like the Netherlands, Germany, UK, or anywhere. You can have full access to our best online data science Master’s course sitting at home or office.

Three technical 1:1 sessions per month will be allowed.

Intellipaat is offering 24/7 query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail of email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our support team. However, 1:1 session support is provided for a period of 6 months from the start date of your course.

Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.

You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.

Intellipaat provides placement assistance to all learners who have successfully completed the training and moved to the placement pool after clearing the PRT( Placement Readiness Test) More than 500+ top MNC’s and startups hire Intellipaat learners. Our Alumni works with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.

Learners are required to submit the mandatory assignments, project work and quizzes for receiving the Intellipaat verified certificates.

Apparently, no. Our job assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.

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