Data Enthusiasts
Ideal for students passionate about data analytics, AI, and machine learning.
Postgraduate Level Program
Master of Technology in Data Science (M.Tech Data Science)
M.Tech Data Science is a 2-year postgraduate engineering degree program that focuses on data analytics, machine learning, artificial intelligence, big data technologies, predictive modeling, statistical computing, business intelligence, and data engineering. The course prepares students for careers in data science, AI development, analytics, financial modeling, business intelligence, and research.
M.Tech Data Science Course
M.Tech Data Science Admission 2026
M.Tech Data Science Eligibility
M.Tech Data Science Syllabus
Duration
2 Years
Full-time / Part-time options
Eligibility
B.Tech/BE in Computer Science Engineering, Information Technology, Data Science, Artificial Intelligence, Mathematics, Statistics, Electronics Engineering, or a related discipline from a recognized university
Average Fees
₹40K – ₹8L
program-wise
Mode
Full-Time / Part-Time / Online
Overview
About Master of Technology in Data Science (M.Tech Data Science)
M.Tech Data Science is a 2-year postgraduate engineering degree program that focuses on data analytics, machine learning, artificial intelligence, big data technologies, predictive modeling, statistical computing, business intelligence, and data engineering. The course prepares students for careers in data science, AI development, analytics, financial modeling, business intelligence, and research.
M.Tech Data Science Course 2026: Admission, Eligibility, Fees, Syllabus, Scope & Career Opportunities
M.Tech Data Science is a two-year postgraduate engineering program designed to provide advanced knowledge of data analytics, machine learning, artificial intelligence, statistical modeling, big data technologies, and business intelligence. The course helps students develop the technical and analytical skills needed to process, analyze, and interpret massive datasets for strategic decision-making.
The program combines mathematics, computer science, and domain expertise to solve complex real-world challenges using data-driven approaches. As organizations increasingly rely on data for business growth, Data Science professionals have become highly valuable across industries.
M.Tech Data Science Eligibility Criteria
* B.Tech/BE in Computer Science, Information Technology, Data Science, Artificial Intelligence, Statistics, Mathematics, Electronics Engineering, or related disciplines.
* Minimum 50%–60% aggregate marks (varies by institution).
* Admission through GATE or university entrance examinations.
M.Tech Data Science Admission Process
Admission is offered through:
* GATE
* CUET PG
* University Entrance Examinations
* Merit-Based Admission
M.Tech Data Science Subjects
* Data Science Fundamentals
* Machine Learning
* Artificial Intelligence
* Big Data Analytics
* Data Mining
* Statistical Computing
* Predictive Modeling
* Data Visualization
* Business Intelligence
* Cloud-Based Analytics
M.Tech Data Science Career Scope
Graduates can pursue careers as:
* Data Scientist
* Machine Learning Engineer
* Data Engineer
* Business Intelligence Analyst
* AI Engineer
* Data Analyst
* Quantitative Analyst
* Analytics Consultant
* Research Scientist
* Big Data Engineer
M.Tech Data Science Salary
The average starting salary after M.Tech Data Science ranges from ₹10 LPA to ₹30 LPA. Professionals with expertise in machine learning, AI, predictive analytics, and big data technologies can earn significantly higher salary packages in top organizations.
Top Recruiters
* Microsoft
* Amazon
* IBM
* Accenture
* Deloitte
* Infosys
* TCS
* Wipro
* Cognizant
* Capgemini
* Oracle
Why Choose M.Tech Data Science?
* One of the fastest-growing career domains globally.
* High demand for data professionals across industries.
* Excellent salary packages and career growth.
* Strong opportunities in AI and machine learning.
* Applications in healthcare, finance, retail, manufacturing, and technology sectors
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 interested in advanced data-driven technologies and analytics.
Research Aspirants
Perfect for students planning careers in data science research and innovation.
Future Data Scientists
Excellent choice for individuals aspiring to become analytics and AI experts.
Career Outcomes
Where this program can take you
Explore rewarding careers in data science, machine learning, artificial intelligence, business analytics, big data engineering, and predictive analytics after M.Tech Data Science.
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Universities
Top Universities Offering Master of Technology in Data Science (M.…
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.
- Advanced Statistics
- Data Science Fundamentals
- Python Programming for Data Science
- Database Systems
- Engineering Mathematics
Fees & Financing
Fees & Financing
Transparent fee structure with flexible payment options.
Total Program Fee
₹40K – ₹8L
*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 Technology in Data Science (M.Tech Data Science) | PhD in Management | Executive MBA |
|---|---|---|---|
| Program Level | Postgraduate | Doctoral | Postgraduate |
| Duration | 2 Years | 4–5 Years | 1–2 Years |
| Average Fees | ₹40K – ₹8L | 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.Tech Data Science is a postgraduate engineering degree focused on data analytics, machine learning, artificial intelligence, big data technologies, and predictive modeling.
Candidates must have a B.Tech/BE degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Statistics, Mathematics, Electronics Engineering, or a related discipline.
Graduates can work as data scientists, machine learning engineers, AI engineers, business intelligence analysts, data engineers, and analytics consultants.
The average starting salary ranges from ₹10 LPA to ₹30 LPA depending on specialization, skills, and employer.
Yes. Data Science is one of the highest-paying and fastest-growing technology domains globally.
Yes. Graduates can pursue PhD programs in Data Science, Artificial Intelligence, Machine Learning, Computer Science, Statistics, and related fields.
The course duration is generally 2 years divided into four semesters.
GATE, CUET PG, and various university-level entrance examinations are commonly accepted.
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