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Online MSc in DS in Data Analytics from Chandigarh University

    Flexible Learning Without a Career Break

    Balance Work, Studies, and Personal Life

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Online MSc in Data Science in Data Analytics from Chandigarh University: Key Highlights

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Total Fees: ₹1,10,001

Recognised & Accredited: UGC, AICTE, NAAC A+, WES

Minimum Eligibility: Bachelor’s degree in B.A, BCA, B.Sc, B.E/B.Tech

University Established: 2012 (Chandigarh University)

Course Duration: 2 Years

Mode: 100% Online Learning with Live + Recorded Classes

Address: Mohali, Punjab, India

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Chandigarh University
Backed by reputed accreditations, Chandigarh University ensures credibility and quality in its Online MSc in Data Science Program.
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Online MSc Data Science: Curriculum

  • Software Engineering for Data Science
  • Data Visualization
  • Big Data
  • Machine Learning
  • Statistical Inference
  • Applied Deep Learning
  • Natural Language Processing & Large Language Models
  • Computer Vision & Image Intelligence
  • Reinforcement Learning & Decision Intelligence
  • MLOps & AI System Integration
  • AI Systems Engineering & MLOps
  • Responsible & Ethical AI Systems
  • Capstone Project (with Live Industry Project)

Who Is This Program For?

Ideal Learners

    Data Science Aspirants interested in building strong foundations in analytics, machine learning, statistics, and AI-driven problem solving.

    AI Enthusiasts who want to develop expertise in data analytics, deep learning, and intelligent systems.

    Working Professionals looking to upskill or transition into data science, data analytics, AI, and machine learning roles while continuing their careers.

    Future Tech Professionals aiming for careers in data science, data analytics, AI engineering, business intelligence, and intelligent automation.

Online MSc in Data Science in Data Analytics at Chandigarh University: Program Overview

The Online MSc in Data Science in Data Analytics course provided by Chandigarh University Online is a forward-looking postgraduate course intended to provide the learners with cutting-edge knowledge and skills in data science, data analytics, artificial intelligence, and various real-life applications of data sciences. The course will help the learners develop their analytical and AI solutions through a balanced approach towards building theoretical and practical knowledge.

Data Science in Data Analytics with Applied AI is the core theme of this course with focus being laid on problem-solving techniques by using latest analytical tools as well as AI techniques. It will help the students get acquainted with concepts like machine learning, deep learning, statistics, data mining, big data, data engineering, and MLOps.

Program Outcomes

  • Well-Rounded Knowledge in Data Science in Data Analytics: Acquire fundamental understanding of statistics, programming, machine learning, and data-driven decision-making.
  • Practical Knowledge in Applied Machine Learning: Get hands-on skills on creating predictive models and solutions.
  • Data Analytics & Visualization Proficiency: Get skilled in analyzing big datasets and visualize insights with modern BI applications.
  • Big Data & Data Engineering Skills: Manipulate large datasets with contemporary data engineering techniques and technologies.
  • Problem Solving with Analytics and AI in Industry: Utilize analytics and AI solutions to address real-world business issues.
  • Preparation for Employment or Higher Studies: Equip yourself for a career in Data Science, AI and other research-focused areas.

Key Learning Areas

  • Programming Using Python for Data Science
  • Statistics and Data Analysis
  • Machine Learning & Predictive Modelling
  • Deep Learning & Neural Networks
  • Data Mining Concepts
  • Big Data Technologies
  • Data Visualization & Business Intelligence
  • Cloud Computing for Data Analytics
  • Data Warehouse & Data Engineering
  • MLOps & Model Deployment
  • Responsible Data Management & Ethics

Key Benefits of the Program

  • Data Science in Data Analytics Dual Specialization Program
  • Real world practical exposure to data-related projects
  • Learning of industry-standard tools such as Python, SQL, Power BI, Tableau, and cloud-based platforms
  • Flexible online course delivery with both live and pre-recorded lectures
  • Emphasis on practical application and business understanding
  • Curriculum oriented towards preparing for careers in analytics
  • Building a resume and interview skills
  • Preparation for certifications and further studies

Why Choose CU Online?

  • UGC Entitled Programs: Recognized by UGC, ensuring credibility and global acceptance of CU Online degrees.
  • Industry-Aligned Curriculum: Designed with global academic and corporate insights for better career readiness.
  • Flexible Learning System: Live + recorded classes with 24x7 learner support.
  • Expert-Led Sessions: Learn from industry professionals and academic experts.
  • Career Support: Internship assistance, resume building, and interview preparation support.

Career Opportunities After Online MSc in Data Science in Data Analytics

Graduates of this program can pursue opportunities across data science, data analytics, artificial intelligence, business intelligence, and machine learning roles.

Job Role

Average Annual Salary (India)

Data Analyst

₹7.0 LPA

Business Analyst

₹9.0 LPA

Data Scientist

₹11.0 LPA

Machine Learning Engineer

₹12.0 LPA

Business Intelligence (BI) Analyst

₹9.0 LPA

Data Engineer

₹11.5 LPA

AI Specialist

₹13.0 LPA

Big Data Analyst

₹10.0 LPA

Analytics Consultant

₹12.0 LPA

Data Visualization Specialist

₹8.0 LPA

Top Industries Hiring Online MSc in Data Science in Data Analytics Graduates

  • IT & Software
  • Banking & Finance
  • Healthcare
  • E-commerce & Retail
  • Manufacturing & Industry 4.0
  • Telecommunications
  • Education & Edtech
  • FinTech & Digital Payments
  • Consulting & Professional Services
  • Automotive & Mobility
  • Media & Entertainment
  • Government & Infrastructure

Why Online MSc in Data Science in Data Analytics is Better Than Other Universities?

Specialization Focus

Industry-Relevant Curriculum

Applied Learning Approach

Data Analytics & Visualization

Big Data & Data Engineering

Machine Learning Integration

Industry Tools Exposure

Career Opportunities

Career Support

Future Readiness

Online MSc in DS in DA at CU

Focuses on Data Science, Data Analytics, Machine Learning, Artificial Intelligence, and Business Intelligence for industry applications

Covers Python, SQL, Statistics, Machine Learning, Data Visualization, Big Data, and Data Analytics tools like Power BI and Tableau

Emphasizes hands-on projects, real-world datasets, case studies, and practical data-driven problem solving

Strong focus on data interpretation, dashboard creation, and business intelligence reporting for decision making

Includes training in big data tools, data pipelines, data warehousing, and scalable data processing systems

Provides strong foundation in predictive modeling, supervised and unsupervised learning, and model deployment

Hands-on training with Python, SQL, Excel, Power BI, Tableau, and cloud-based analytics platforms

Prepares students for roles like Data Scientist, Data Analyst, Business Analyst, BI Developer, and Machine Learning Engineer

Provides career guidance, resume building, interview preparation, internships, and placement assistance

Builds strong expertise in Data Science and Data Analytics, enabling careers in high-demand technology and business domains

Other Online MSc Programs

Often focuses on traditional computer science or general analytics with limited specialization in modern AI and data-driven systems

May include basic analytics concepts but lacks strong integration of modern tools and industry use cases

Primarily theory-based learning with fewer real-world project implementations

Limited exposure to advanced visualization tools and business intelligence frameworks

Minimal or no exposure to large-scale data engineering concepts and distributed data systems

Basic or introductory-level machine learning coverage without deployment-focused learning

Limited exposure to modern analytics tools and industry-standard platforms

Typically leads to general IT or entry-level analytics roles without advanced specialization

Career services may be limited or not structured around industry readiness

Provides general academic knowledge without strong alignment to evolving industry analytics needs

Why YourDegree?

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Industry-Aligned Curriculum

Flexible Online Learning

Affordable Fee Options

Career Guidance Support

UGC Approved Programs

Easy University Comparison

Live + Recorded Classes

Online MSc in Data Science in Data Analytics: Fees

24 Months
Program Fee
INR 1,10,001*

Inclusions

After Early Bird Scholarship INR 1,10,001/-
Industry-focused curriculum (AI, ML, Data Science, Analytics)
Hands-on projects & capstone work
Career support & interview preparation
UGC-entitled degree
View Plans
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Admission Process

The admission process is simple and fully online, following a structured step-by-step workflow. 

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Frequently Asked Questions

The Online MSc in Data Science in Data Analytics is a postgraduate program designed to develop advanced knowledge of data analytics, statistical modeling, machine learning, artificial intelligence, and business intelligence. The program combines theoretical concepts with practical applications, enabling learners to extract meaningful insights from data and make data-driven business decisions across industries.

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