Data Enthusiasts
Ideal for students interested in analytics, machine learning, and data-driven technologies.
Postgraduate Level Program
Master of Science in Data Analytics (M.Sc Data Analytics)
M.Sc Data Analytics is a 2-year postgraduate science degree program that focuses on data analysis, statistical modeling, machine learning, artificial intelligence, big data technologies, business intelligence, data visualization, and predictive analytics. The course prepares students for careers in data science, analytics, business intelligence, AI, finance, healthcare, and technology sectors.
M.Sc Data Analytics Course
M.Sc Data Analytics Admission 2026
M.Sc Data Analytics Eligibility
M.Sc Data Analytics Syllabus
Duration
2 Years
Full-time / Part-time options
Eligibility
Bachelor's Degree in Data Science, Computer Science, Information Technology, Statistics, Mathematics, Engineering, BCA, B.Sc, or a related discipline from a recognized university
Average Fees
₹20K – ₹5L
program-wise
Mode
Full-Time / Distance / Online
Overview
About Master of Science in Data Analytics (M.Sc Data Analytics)
M.Sc Data Analytics is a 2-year postgraduate science degree program that focuses on data analysis, statistical modeling, machine learning, artificial intelligence, big data technologies, business intelligence, data visualization, and predictive analytics. The course prepares students for careers in data science, analytics, business intelligence, AI, finance, healthcare, and technology sectors.
M.Sc Data Analytics Course 2026: Admission, Eligibility, Fees, Syllabus, Scope & Career Opportunities
M.Sc Data Analytics is a two-year postgraduate science program designed to provide advanced knowledge of data analysis, machine learning, statistical modeling, artificial intelligence, business intelligence, predictive analytics, and big data technologies. The course equips students with the technical and analytical skills needed to transform complex data into actionable business insights.
The program combines mathematics, statistics, computer science, and modern analytics tools to help students solve real-world business and research challenges using data-driven approaches.
M.Sc Data Analytics Eligibility Criteria
* Bachelor's degree in Computer Science, Information Technology, Statistics, Mathematics, Engineering, BCA, B.Sc, or related disciplines.
* Minimum 45%–55% aggregate marks (varies by university).
* Admission through merit or entrance examinations.
M.Sc Data Analytics Admission Process
Admission is offered through:
* CUET PG
* IIT JAM
* University Entrance Examinations
* Merit-Based Admission
M.Sc Data Analytics Subjects
* Data Analytics
* Statistical Modeling
* Machine Learning
* Artificial Intelligence
* Big Data Technologies
* Data Visualization
* Business Intelligence
* Predictive Analytics
* Data Mining
* Python Programming
M.Sc Data Analytics Career Scope
Graduates can pursue careers as:
* Data Analyst
* Data Scientist
* Machine Learning Engineer
* Business Intelligence Analyst
* Data Engineer
* Analytics Consultant
* AI Specialist
* Quantitative Analyst
* Research Analyst
* Data Architect
M.Sc Data Analytics Salary
The average starting salary after M.Sc Data Analytics ranges from ₹7 LPA to ₹20 LPA. Professionals with expertise in machine learning, AI, and advanced analytics can earn significantly higher salary packages.
Top Recruiters
* Microsoft
* Amazon
* IBM
* Accenture
* Deloitte
* Infosys
* TCS
* Wipro
* Cognizant
* Capgemini
* HCL Technologies
Why Choose M.Sc Data Analytics?
* High demand for data professionals worldwide.
* Excellent salary packages and career growth.
* Strong opportunities in AI and machine learning.
* Applications across finance, healthcare, retail, and technology sectors.
* Ideal for students interested in data-driven decision making.
Who it's for
Who Should Choose This Course?
See if your goals align with how this program is structured.
Technology Professionals
Suitable for candidates seeking advanced careers in data science and business intelligence.
Research Aspirants
Perfect for students interested in data research, predictive modeling, and innovation.
Future Data Scientists
Excellent choice for individuals aspiring to become analytics and AI professionals.
Career Outcomes
Where this program can take you
Explore rewarding careers in data science, business analytics, machine learning, artificial intelligence, big data engineering, and predictive analytics after M.Sc Data Analytics.
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Universities
Top Universities Offering Master of Science in Data Analytics (M.S…
Compare top programs and choose the best fit for your goals.
All universities are UGC/AICTE approved and recognized for academic excellence.
Syllabus
Syllabus & Curriculum
Semester-wise breakdown of topics and learning modules.
- Statistics for Data Analytics
- Python Programming
- Database Management Systems
- Data Visualization
- Mathematics for Analytics
Fees & Financing
Fees & Financing
Transparent fee structure with flexible payment options.
Total Program Fee
₹20K – ₹5L
*Fees may vary across universities. Instalment plans shared after shortlisting.
Easy EMI Options Available
Scholarships Up to 30%
Education Loan Assistance
Need help planning your finances?
Our experts can guide you with the best options.
Admission
Admission Process
Simple steps to start your doctoral journey.
1
Apply Online
Submit your profile, academics, and intent with supporting documents.
2
Application Review
Our panel verifies eligibility and aligns you with the right cohort format.
3
Interview / Proposal Chat
Discuss research interests and career goals with faculty mentors.
4
Offer & Fee Plan
Receive admission decision with financing and instalment options.
5
Enrol & Onboard
Complete registration, join the cohort workspace, and start Semester 1.
Placements
Placement & Salary
Based on placement data from top institutions.
Average Salary
₹18.7 LPA
Highest Salary
₹35.0 LPA
Placement Rate
78%
Top Recruiters
200+ Companies
MBA + DBA Impact
40%+ Average salary hike
Average Salary by Experience
- 0–3 years₹10 – ₹14 LPA
- 3–7 years₹14 – ₹20 LPA
- 7–12 years₹18 – ₹26 LPA
- 12+ years₹22 – ₹35 LPA
Figures are indicative and vary by cohort, institute, and reporting methodology.
Top Recruiting Companies
DEDeloitte
KPKPMG
PwPwC
EYEY
McMcKinsey
BCBCG
AcAccenture
HCHCL
InInfosys
WiWipro
Explore full salary distributions and recruiter mix in the placement report.
Compare Similar Courses
See how this programme stacks up against similar credentials.
| Features | You're viewingMaster of Science in Data Analytics (M.Sc Data Analytics) | PhD in Management | Executive MBA |
|---|---|---|---|
| Program Level | Postgraduate | Doctoral | Postgraduate |
| Duration | 2 Years | 4–5 Years | 1–2 Years |
| Average Fees | ₹20K – ₹5L | Varies | ₹12 – ₹28 LPA |
| Ideal For | Working executives & leaders | Research & academia oriented | Mid-career managers |
| Focus Area | Applied research & leadership | Theory & dissertation | General management |
| Career Outcomes | Strategy, consulting, academia | Academia, research roles | Leadership, CXO track |
FAQs
Frequently Asked Questions
Quick answers to common questions.
M.Sc Data Analytics is a postgraduate science degree focused on data analysis, machine learning, artificial intelligence, statistical modeling, and business intelligence.
Candidates must have a bachelor's degree in Computer Science, Information Technology, Statistics, Mathematics, Engineering, BCA, B.Sc, or a related discipline.
Graduates can work as data scientists, data analysts, machine learning engineers, business intelligence analysts, data engineers, and analytics consultants.
The average starting salary ranges from ₹7 LPA to ₹20 LPA depending on specialization, technical skills, and employer.
Yes. Data Analytics is one of the fastest-growing and highest-demand career fields globally with excellent salary potential.
Yes. Graduates can pursue PhD programs in Data Science, Data Analytics, Artificial Intelligence, Statistics, Computer Science, and related fields.
The course duration is generally 2 years divided into four semesters.
CUET PG, IIT JAM, and various university-level entrance examinations are commonly accepted.
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