MSc in Data Science is a 2 year Master's degree program offered by Chandigarh University in the field of data science, which includes SQL Programming, Advanced Database Management Systems, Python Programming, Machine Learning and more. Master's degree course in Data Science is a multidisciplinary field that combines various data techniques, methods, and tools to extract meaningful insights and knowledge from data. It involves analyzing, interpreting, and deriving meaningful information from large and complex datasets. Data Scientists use their expertise in mathematics, statistics, computer science, and domain knowledge to tackle data-related problems and make data-driven decisions. They employ various techniques, including data cleaning, data preprocessing, data integration, data mining, statistical modelling, machine learning, and data visualization to extract valuable insights from data. The data used in Data Science can come from a wide range of sources, such as structured databases, unstructured text documents, social media, sensor data, and more. The field of Data Science aims to discover patterns, identify trends, make predictions, and uncover hidden relationships within the data to gain actionable insights and drive informed decision-making. Data Science and its applications play a crucial role in areas such as fraud detection, customer segmentation, demand forecasting, recommendation systems, sentiment analysis, and predictive maintenance, among others. Completing an MSc in Data Science can open up a wide range of job opportunities in various industries. Data Science is in high demand as organizations seek professionals who can harness the power of data to drive insights and make informed decisions. Here are just a few examples of the job roles available in the field of Data Science Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer, Business Analyst, Data Architect, Research Scientist, and Data Consultant.
A+ Grade by the National Assessment and Accreditation Council (NAAC)
27th Rank among the top Indian Universities in NIRF-2022
Approved by the University Grants Commission (UGC)
Approved by the All-India Council of Technical Education (AICTE)
A+ Grade by the National Assessment and Accreditation Council (NAAC)
27th Rank among the top Indian Universities in NIRF-2022
Approved by the University Grants Commission (UGC)
Approved by the All-India Council of Technical Education (AICTE)
Candidate must have completed a Bachelor's degree in B.A./BCA/B.Sc. (Statistics or Mathematics or Computer Science)/ B.E / B.Tech
OR Equivalent undergraduate degree with any one of the following subjects Computer Science / Mathematics / Statistics from a recognized Board / University
2 Years
E-book
E-book features, Self Learning Material, PDF Content, Responsive as one Device & Many Books, Accessible Everywhere, Shareable Content, and Augmented Reality Experience.
Practice Test
A quick way to gauge the learning. This helps you to assess your knowledge and test your readiness for your exam. This Evaluation feature allows you to answer Chapter wise MCQ-based Questions. And after completion of the Test, it displays correct and incorrect selections in the Review option. So it gives you answers too.
Study Guide
A Smarter and Simpler Way to Study. Explained Bullet Notes Of Every Chapter. This helps the student to understand the key knowledge areas of the topic.
Lab environment
This is a coding ground for programming learners. Students can write programming code here and test the programming skills which they have acquired.
Discussion Forum
Discussion Forum is a means to allow students to learn through collaborative efforts. Every subject would have 12 Open and 1 Graded discussion forum which would be part of the continuous evaluation process. Subject-wise threaded discussions and helping enrolled students to review course material prior to an assignment or exam, engaging students in discussion.
Interactive Videos
Interactive Videos that allows students to actively engage with the content they see within the video itself with online courses. In-built quiz helps the students to test their understanding about the topic.
Web Resources
Links from Open Source articles are videos are provides to the students. This enhances the horizon of the students. Here they can watch videos from various resources. These resources include case studies, articles, reference videos, fact sheets, etc.
Live Interactive Sessions
Well-experienced trainers can take their live interactive online sessions through Learning Management System. For every subject based on the course outcome, there would be one live interactive online session per chapter conducted through the learning management system. The faculty from the university would conduct the said live session and the students would join through the LMS. The students should refer to the calendar for a scheduled live session in their respective LMS. Every Live Session per chapter would be of 1 hour.
Animated / Gamified Module
As part of simulations, animated case studies at the subject level are available for students to learn in a given situation. After understanding the case the students would be able to give a solution which is through a set of questions during the case study module. This helps the learners to perform in a dynamic business environment.
E-book
E-book features, Self Learning Material, PDF Content, Responsive as one Device & Many Books, Accessible Everywhere, Shareable Content, and Augmented Reality Experience.
Practice Test
A quick way to gauge the learning. This helps you to assess your knowledge and test your readiness for your exam. This Evaluation feature allows you to answer Chapter wise MCQ-based Questions. And after completion of the Test, it displays correct and incorrect selections in the Review option. So it gives you answers too.
Study Guide
A Smarter and Simpler Way to Study. Explained Bullet Notes Of Every Chapter. This helps the student to understand the key knowledge areas of the topic.
Lab environment
This is a coding ground for programming learners. Students can write programming code here and test the programming skills which they have acquired.
Discussion Forum
Discussion Forum is a means to allow students to learn through collaborative efforts. Every subject would have 12 Open and 1 Graded discussion forum which would be part of the continuous evaluation process. Subject-wise threaded discussions and helping enrolled students to review course material prior to an assignment or exam, engaging students in discussion.
Interactive Videos
Interactive Videos that allows students to actively engage with the content they see within the video itself with online courses. In-built quiz helps the students to test their understanding about the topic.
Web Resources
Links from Open Source articles are videos are provides to the students. This enhances the horizon of the students. Here they can watch videos from various resources. These resources include case studies, articles, reference videos, fact sheets, etc.
Live Interactive Sessions
Well-experienced trainers can take their live interactive online sessions through Learning Management System. For every subject based on the course outcome, there would be one live interactive online session per chapter conducted through the learning management system. The faculty from the university would conduct the said live session and the students would join through the LMS. The students should refer to the calendar for a scheduled live session in their respective LMS. Every Live Session per chapter would be of 1 hour.
Animated / Gamified Module
As part of simulations, animated case studies at the subject level are available for students to learn in a given situation. After understanding the case the students would be able to give a solution which is through a set of questions during the case study module. This helps the learners to perform in a dynamic business environment.
Yes
Yes
Semester 1
SQL Programming
Advanced Database Management Systems
Communication and Soft Skills
Python Programming
Applied Probability and Statistics
Semester 2
Calculus and Linear Algebra for Data Scientists
Deep Learning
Data Analysis and Visualization
Machine Learning
Advanced Machine Learning
Semester 3
Web Technologies
Optimization
Java Programming
Data Structures and Algorithms
Cloud Native Development
Minor Project (Software Dev)
Semester 4
Natural Language Processing
Data Engineering
Data Mining and Warehousing
Applied Business Analytics
Major Project
| Particulars | Indian Student | International Student |
|---|---|---|
| Full Fee to be paid | 84000/- | /- |
| Student Down Payment | 30000/- |
| Program Semester | 4 |
| Program fee per Semester | 120000/- |
Inclusive all charges
Doing an MSc in Data Science offers a wide range of career opportunities and a broad scope in today's data-driven world. Some aspects of the scope of an MSc in Data Science such as data scientist, data analyst, machine learning engineer, business intelligence analyst, data engineer, and more.
The four main uses of data science are Descriptive Analytics, Diagnostic Analytics, Predictive Analytics and Prescriptive Analytics. These four uses of data science work together in a progressive manner, starting from descriptive analytics to diagnostic analytics, predictive analytics, and finally, prescriptive analytics. They enable organizations to gain insights, make informed decisions, and drive improvements in various aspects of their operations.
In today's digital age, organizations have access to vast amounts of data. Data science enables businesses to leverage this data to make informed decisions and gain a competitive edge. By analyzing data, organizations can identify patterns, trends, and insights that can drive strategic planning, optimize operations, and improve decision-making processes. So data science empowers organizations to make data-driven decisions, derive meaningful insights from data, enhance customer experiences, drive innovation, and solve complex problems in a wide range of fields.
Data science is an interdisciplinary field that involves extracting insights and knowledge from data using various techniques, including statistics, machine learning, data mining, and data visualization. It combines elements of mathematics, computer science, and domain expertise to analyze and interpret large and complex datasets. And example Recommender Systems, Fraud Detection and Image and Speech Recognition.
Chandigarh University offers online MSc data science course 2 year duration.
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