Bestseller

Master’s in Data Science

Learn how to use data and pursue a successful career in data science with our 1-year Master’s degree. The course is intended for anyone, including graduates and professionals, and helps them work with and understand complex business data. You will study topics including Python, machine learning, tools for handling large data, and developing real-life projects.

As part of this program, you will learn from industry experts who combine theory with practical training to prepare you for becoming a Data Scientist, Analyst, or AI Specialist. The course will equip you to either transition to a new career or advance in tech, regardless of your experience. By the end of the program, you’ll be ready to take on high-demand roles in top industries across the globe.

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Online

Training Mode

100+ Hours

Recorded Videos

40+

Live Assignments

12 Months

Course Duration

Unique features of a Master’s in Data Science

Regular doubt sessions

We provide regular doubt-clearing sessions to ease your learning journey and make you knowledgeable.

Complete LMS access

Students have lifetime access to the LMS and study materials to study anytime, anywhere.

Online access to all classes

With Career Amend, access to all classes is smooth, and students can study at their convenience.

Excellent placement assistance

This feature allows students to get excellent placement assistance and complete guidance.

Practical training approaches

Practical learning is essential with technical professional courses, and we provide it.

Advanced industry-oriented curriculum

We train students with the most advanced curriculum that meets the current industry standards.

Industry-experienced Instructors
Flexible Learning Options
Hands-On Projects
Updated Curriculum
Fit for Working Professionals
Live classes by Experts
Continuous Support
Industry-Recognized Certification
Lifetime Access to Course Materials
1-year online program
Classes on weekends also
Well-recognised hiring partners
Placement assistance
Doubts clarification sessions

Who Can Apply for the Course?

Graduates with a bachelor’s degree in Computer Science, Information Technology, Mathematics, Statistics, Engineering, or any related field.
Working professionals in IT, software development, analytics, or web development who want to transition into the high-growth field of data science.
IT professionals and engineers looking to upgrade their skills and enhance their career prospects in AI, machine learning, and big data technologies.
Graduates with at least 50% marks in their final graduation results from a recognized university.
Aspiring data scientists, analysts, or machine learning engineers who want to master the complete data science lifecycle, from data processing to model deployment.
Career switchers from non-tech backgrounds (with basic programming or analytical aptitude) aiming to enter the data science field.

20 Programming Tools, Languages & Libraries Covered

Apache Spark
GitHub
RStudio
D3.js
SAS
KNIME
Power BI
MATLAB
Python
R
SQL
Tableau
Excel
Apache Hadoop
Jupyter Notebooks

Program Benefits

Learn from experienced industry professionals and expert faculty who bring real-world data science applications and insights into the classroom.
Connect with data scientists, AI experts, and analysts from top tech companies to build a strong professional network.
Stay updated with the latest tools, trends, and technologies in data science, machine learning, big data, and artificial intelligence.
Apply theory to practice through hands-on assignments using Python, R, SQL, TensorFlow, Hadoop, and other tools and platforms.
Receive personalized mentorship from seasoned industry professionals who guide your learning and support your career growth.
Earn a recognized postgraduate credential in just 1 year and fast-track your entry or advancement into the field of data science.

Program Curriculum of Master’s in Data Science

Content by expert faculty and industry experts in videos, cases, projects, assignments, and live sessions combined with Generative AI modules.

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Content Hours Available

Industry Projects

Live Learning Sessions

Programming Tools/ Languages

Semester 1: Foundation & Core Skills

Data science lifecycle
Real-world applications and case studies
Role of a data scientist

Descriptive and inferential statistics
Probability distributions
Hypothesis testing and confidence intervals

Data types, loops, functions
Python libraries: NumPy, Pandas, Matplotlib
Data manipulation and scripting with R

Cleaning and transforming raw data
Handling missing values and outliers
Data visualization using Seaborn, Plotly, Tableau/Power BI

Relational databases
Writing complex SQL queries
Data extraction and joining tables

Semester 2: Advanced Concepts & Applications

Supervised and unsupervised learning
Regression, classification, clustering
Model evaluation and tuning (cross-validation, confusion matrix, etc.)

Introduction to deep learning
Neural networks using TensorFlow/Keras
CNNs, RNNs, and their applications

Hadoop ecosystem (HDFS, MapReduce)
Apache Spark for large-scale data processing
Introduction to NoSQL (MongoDB)

Text preprocessing
Sentiment analysis
Named Entity Recognition (NER)
NLP libraries: NLTK, spaCy

KPIs and metrics
Business dashboards
Data storytelling and decision frameworks

Our Learners Work At

Success Stories

Ankit Shahi

Transformed from Technology Analyst to Associate Consultant with a remarkable 204% hike.

204% hike

4 yrs

Technology Analyst

Associate Consultant

Pratik Karnik

Transitioned from Software Engineer to Data Scientist with a 54% salary increase.

54% hike

2 yrs

Software Engineer

Data Scientist

Vignesh Arjun

Evolved from Data Associate to Data Analyst, enjoying a significant 94% salary hike.

94% hike

1.5 yrs

Data Associate

Data Analyst

Ask What You Want To Know

FAQs for Master’s in Data Science

Ans:- Graduates can explore roles such as Data Scientist, Data Analyst, Machine Learning Engineer, Business Intelligence Analyst, AI Specialist, and Big Data Engineer in the finance, healthcare, retail, and tech industries.

Ans:- Yes! The program includes multiple hands-on projects and a capstone project that lets you apply your learning to solve real industry problems.

Ans:- The Master’s in Data Science is a one-year full-time program divided into two semesters. The final capstone project involves real-world data science applications.

Ans:- Basic programming knowledge (especially in Python or R) is helpful but not mandatory. The course begins with foundational modules to get you up to speed.

Ans:- You can apply by filling out the online application form on our website. After reviewing your application, you may need to undergo a brief screening test. Once accepted, you will receive details about the program’s start date, fees, and other relevant information.

Master’s in Data Science

Online

100+ Hours

40+

12 Months

Unique features of a Master’s in Data Science

Regular doubt sessions

Complete LMS access

Online access to all classes

Excellent placement assistance

Practical training approaches

Advanced industry-oriented curriculum

Key Highlights

Drop Us A Line

Who Can Apply for the Course?

20 Programming Tools, Languages & Libraries Covered

Program Benefits

Program Curriculum of Master’s in Data Science

Content Hours Available

Industry Projects

Live Learning Sessions

Programming Tools/ Languages

Semester 1: Foundation & Core Skills

Semester 2: Advanced Concepts & Applications

Our Learners Work At

Success Stories

FAQs for Master’s in Data Science

Your Perfect Job and Internship

Master’s in Data Science

Online

100+ Hours

40+

12 Months

Unique features of a Master’s in Data Science

Regular doubt sessions

Complete LMS access

Online access to all classes

Excellent placement assistance

Practical training approaches

Advanced industry-oriented curriculum

Key Highlights

Drop Us A Line

Who Can Apply for the Course?

20 Programming Tools, Languages & Libraries Covered

Program Benefits

Program Curriculum of Master’s in Data Science

Content Hours Available

Industry Projects

Live Learning Sessions

Programming Tools/ Languages

Semester 1: Foundation & Core Skills

Introduction to Data Science

Statistics and Probability for Data Science

Programming for Data Science (Python & R)

Data Wrangling and Visualization

Databases & SQL

Semester 2: Advanced Concepts & Applications

Machine Learning

Deep Learning & Neural Networks

Big Data Technologies

Natural Language Processing (NLP)

Business Intelligence and Data-Driven Decision Making

Capstone Projects

Our Learners Work At

Success Stories

FAQs for Master’s in Data Science

What are the career opportunities after completing a Master’s in Data Science program?

Will I get real-time projects during the course?

What is the duration of the program?

WIs any coding experience required to join this course?

How can I apply for the program?