How to Take Admission M.Sc. In Data Science At LPU 2026? Courses, Discount, Career, Eligibility, Fees!

Data science has emerged as one of the most sought-after fields in recent years, offering lucrative career opportunities across various industries. For students aiming to advance their career in this domain, M.Sc. in Data Science at LPU 2026 presents a comprehensive curriculum, state-of-the-art infrastructure, and strong placement opportunities. This article will guide you step by step on how to pursue an M.Sc. in Data Science LPU 2026, covering courses, eligibility, fees, scholarships, career prospects, and much more.
Overview of M.Sc. in Data Science at LPU 2026
Lovely Professional University (LPU) is one of India’s top private universities, renowned for its cutting-edge programs in technology, management, and applied sciences. The M.Sc. in Data Science LPU 2026 is designed to equip students with advanced skills in data analysis, machine learning, artificial intelligence, and big data technologies.
Key Highlights of M.Sc. in Data Science LPU 2026:
- Duration: 2 years (4 semesters)
- Mode: On-campus (with some online resources)
- Curriculum: Advanced Data Analytics, Machine Learning, Artificial Intelligence, Big Data, Cloud Computing, and Data Visualization
- Career-oriented projects and internships
- Strong industry collaborations
Eligibility Criteria for M.Sc. in Data Science LPU 2026
Before applying, it is important to understand the eligibility requirements for M.Sc. in Data Science LPU 2026:
- Educational Qualification:
- Candidates must have a Bachelor’s degree in Computer Science, IT, Mathematics, Statistics, or related fields from a recognized university.
- Minimum aggregate marks of 50% in graduation (45% for reserved categories).
- Entrance Exam:
- LPU conducts LPUNEST (LPU National Entrance and Scholarship Test) for M.Sc. admissions.
- Candidates can also apply based on merit if they meet the eligibility criteria.
- Language Proficiency:
- Proficiency in English is required, as all lectures and study materials are in English.
Courses and Curriculum for M.Sc. in Data Science LPU 2026
The M.Sc. in Data Science LPU 2026 curriculum is designed to provide both theoretical knowledge and hands-on experience in data science. Here’s an overview of the core courses:
Semester-wise Breakdown
Semester 1:
- Foundations of Data Science
- Programming with Python and R
- Linear Algebra and Statistics for Data Science
- Database Management Systems
Semester 2:
- Machine Learning Algorithms
- Data Mining Techniques
- Big Data Technologies (Hadoop, Spark)
- Data Visualization and Business Analytics
Semester 3:
- Artificial Intelligence and Deep Learning
- Natural Language Processing (NLP)
- Cloud Computing for Data Science
- Data Science Project I
Semester 4:
- Advanced Machine Learning
- Capstone Project / Industry Internship
- Research Methodology
- Elective Courses (IoT Analytics, Computer Vision, etc.)
Additional Features:
- Hands-on labs for practical learning
- Industry projects in collaboration with leading tech companies
- Workshops and webinars on emerging tools and technologies
Fees Structure for M.Sc. in Data Science LPU 2026
The fee for M.Sc. in Data Science LPU 2026 is competitive and offers value for money given the university’s infrastructure and placement support.
| Particulars | Fees (INR) |
|---|---|
| Tuition Fee (per semester) | 1,20,000 |
| Total Course Fee | 4,80,000 |
| Hostel & Mess (Optional) | 80,000 – 1,00,000 per year |
| Other Charges (Library, Labs, etc.) | 20,000 |
Note: Fees are subject to change. LPU offers scholarships and discount schemes which can significantly reduce the tuition fee.
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Discount & Scholarship Opportunities
LPU provides several scholarships and discounts for meritorious and deserving students enrolling in M.Sc. in Data Science LPU 2026:
- LPUNEST Scholarships:
- Score high in the LPUNEST exam to get up to 100% tuition fee waiver.
- Merit-based Scholarships:
- High academic achievers in 10+2 and graduation get up to 50% fee concession.
- Early Bird Discounts:
- Students applying before the last date may receive 10-15% discount.
- Special Category Discounts:
- Reserved categories, sports achievers, and defense personnel may avail additional concessions.
Career Opportunities After M.Sc. in Data Science LPU 2026
Completing an M.Sc. in Data Science LPU 2026 opens doors to a wide range of career opportunities in IT, analytics, finance, healthcare, and more.
Popular Job Roles:
- Data Scientist
- Machine Learning Engineer
- Data Analyst
- Business Intelligence Analyst
- AI/ML Researcher
- Big Data Engineer
- Data Consultant
Top Hiring Companies:
- Google, Amazon, Microsoft, IBM, Infosys, TCS, Deloitte, Accenture
Average Salary:
- Freshers: 6–10 LPA
- Experienced Professionals: 15–25 LPA
- Top-tier roles in multinational companies can offer up to 50 LPA
How to Apply for M.Sc. in Data Science LPU 2026
The application process for M.Sc. in Data Science LPU 2026 is straightforward:
- Visit the official LPU admissions portal.
- Fill the online application form with personal and educational details.
- Upload required documents: mark sheets, certificates, ID proof, passport-size photo.
- Pay the application fee (INR 1100 approx).
- Appear for LPUNEST exam (if required).
- Select course preferences and submit the application.
- Receive admission confirmation and scholarship/discount details.
Advantages of Choosing M.Sc. in Data Science LPU 2026
- Industry-Aligned Curriculum: Courses are updated regularly based on industry requirements.
- State-of-the-Art Labs: Hands-on experience with Python, R, Hadoop, Spark, Tableau, and more.
- Global Exposure: International student exchange programs and collaborations.
- Placement Support: Dedicated placement cell with high placement records in top companies.
- Flexible Learning: Blend of theoretical knowledge, practical projects, and research work.

LPU (Lovely Professional University) has emerged as one of India’s top institutions offering world-class programs in emerging technologies. For aspirants looking to advance their careers in data-driven fields, the M.Sc. in Data Science LPU 2026 is an excellent choice. This program equips students with advanced knowledge in machine learning, big data, AI, and statistical analysis, preparing them for high-paying roles in IT, analytics, and data science domains.
Let’s dive deep into all aspects of this program.
1. What is M.Sc. In Data Science LPU 2026?
The M.Sc. in Data Science at LPU is a two-year postgraduate program designed to provide students with technical, analytical, and computational expertise required in today’s data-driven world. The course focuses on data analysis, machine learning, artificial intelligence, and predictive modeling, making students industry-ready.
The program combines hands-on projects, internships, and real-world case studies to ensure students gain practical exposure along with theoretical knowledge.
Highlights of M.Sc. in Data Science LPU 2026:
- Duration: 2 Years (4 Semesters)
- Mode: On-Campus
- Eligibility: Graduation in Science/Computer Applications/IT or related fields
- Focus Areas: Python, R, SQL, Machine Learning, AI, Big Data Analytics
- Placement Assistance: Yes, with top IT companies recruiting
2. LPU MSc Data Science Fees
Understanding the fees structure is crucial before applying. LPU MSc Data Science fees for 2026 are structured to cover tuition, labs, and other academic facilities.
Estimated Fee Structure:
| Year | Tuition Fees (INR) | Other Fees (INR) | Total (INR) |
|---|---|---|---|
| 1st Year | 1,50,000 | 20,000 | 1,70,000 |
| 2nd Year | 1,50,000 | 20,000 | 1,70,000 |
| Total | 3,00,000 | 40,000 | 3,40,000 |
Note: Fees are subject to change. Scholarships and discounts may be available for early applicants or meritorious students.
3. M.Sc. in Data Science Eligibility
The eligibility criteria for enrolling in M.Sc. in Data Science LPU 2026 are straightforward but specific:
- Educational Qualification: Bachelor’s degree in B.Sc., BCA, B.Tech, or related fields with a minimum of 50% marks.
- Subjects Required: Mathematics, Statistics, or Computer Science at graduation level is preferable.
- Age Limit: No specific age limit; fresh graduates or working professionals can apply.
This ensures that students have a strong foundation in mathematics and programming, which is essential for advanced data science concepts.
4. LPU Data Science Fees (Detailed Breakdown)
The LPU M.Sc Data Science 2026 fees also include additional academic costs for workshops, labs, and project guidance.
Breakdown of Fees:
- Tuition Fees: ₹3,00,000 (for 2 years)
- Lab & Infrastructure Fees: ₹40,000
- Exam & Library Fees: ₹10,000
- Total Approximate Fees: ₹3,50,000
LPU also offers scholarships based on merit, entrance exam scores, or academic achievements. This can reduce the overall fee by up to 50% in some cases.
5. M.Sc. in Data Science Salary
After completing M.Sc. in Data Science LPU 2026, graduates are highly sought after in multiple industries. The salary depends on skills, experience, and job profile, but data science is known for one of the highest paying career paths in India.
Average Salary: ₹6-8 LPA
Highest Salary: ₹15-20 LPA (offered by top tech companies like Amazon, TCS, Infosys, Accenture)
Popular Job Roles:
- Data Scientist
- Machine Learning Engineer
- Data Analyst
- Business Intelligence Analyst
- Big Data Engineer
With the right skills and LPU placement support, students can secure high-paying roles in India and abroad.
6. LPU MSc Data Science Syllabus
The syllabus of M.Sc. in Data Science LPU 2026 is designed to provide theoretical knowledge and practical expertise. The program is divided into 4 semesters, covering key topics in data science.
Semester-wise Syllabus Overview:
| Semester | Key Subjects |
|---|---|
| 1st | Programming with Python & R, Mathematics for Data Science, Database Management Systems |
| 2nd | Statistics & Probability, Data Mining, Machine Learning |
| 3rd | Big Data Analytics, Deep Learning, AI in Data Science |
| 4th | Capstone Project, Cloud Computing, Advanced Data Visualization, Internship |
Hands-on projects and workshops are an integral part of the curriculum to ensure practical learning.
7. LPU M.Sc Data Science Placements
LPU is known for its excellent placement record in emerging technologies. The university has a dedicated placement cell that partners with top multinational companies to recruit students.
Placement Highlights:
- Companies: Amazon, IBM, Accenture, Infosys, Wipro, TCS, Capgemini
- Average Package: ₹6-8 LPA
- Highest Package: ₹20 LPA
- Placement Assistance: Internship & live projects provided
Graduates are highly prepared to work in data analytics, machine learning, and AI-based roles across industries.
8. M.Sc. Data Science Eligibility in India
The eligibility criteria for M.Sc. in Data Science in India are fairly similar across top universities, but LPU stands out due to flexible eligibility options:
- Graduation in Science, IT, or Computer Applications
- Mathematics or Statistics background preferred
- Minimum 50% marks in undergraduate degree
- Entrance Exam: LPUNEST or direct admission based on merit
LPU also offers scholarships and fee discounts for eligible candidates.
9. Career Prospects After M.Sc. in Data Science
Completing M.Sc. in Data Science LPU 2026 opens multiple career avenues:
- Data Scientist: Analyze and interpret complex data sets.
- Machine Learning Engineer: Build predictive models for business applications.
- Big Data Engineer: Manage large-scale data infrastructures.
- Business Analyst: Bridge the gap between technical teams and business strategy.
The field offers global opportunities with high growth potential, making it an ideal choice for tech-savvy professionals.
Tips to Secure Admission
- Prepare thoroughly for LPUNEST exam.
- Maintain a strong academic record.
- Highlight internships or projects in your application.
- Apply early to avail scholarships and early-bird discounts.
- Keep documents ready for a smooth admission process.

15 Frequently Asked Questions (FAQ)
1. What is the duration of M.Sc. in Data Science LPU 2026?
The course is a 2-year program divided into 4 semesters.
2. Can students from non-computer backgrounds apply?
Yes, students from mathematics, statistics, and related fields are eligible.
3. Is LPUNEST mandatory for admission?
It is preferred, but admission is also possible based on merit.
4. What is the total fee for the program?
The total fee is approximately INR 4,80,000 excluding hostel and other charges.
5. Are scholarships available?
Yes, LPU provides merit-based, LPUNEST-based, and early bird scholarships.
6. Which programming languages are taught?
Python, R, SQL, and Java are included in the curriculum.
7. What is the average placement package?
6–10 LPA for freshers, with top placements going up to 50 LPA.
8. Are internships part of the curriculum?
Yes, students undergo industry-oriented projects and internships.
9. Is this course suitable for international students?
Yes, LPU welcomes international students with support for accommodation and visa guidance.
10. Can I specialize in AI or Machine Learning?
Yes, electives and advanced courses allow specialization in AI, ML, and NLP.
11. How can I apply for discounts?
Discounts are applied automatically based on merit, LPUNEST scores, or early application.
12. Does LPU provide online classes?
Mostly on-campus, but some resources and workshops are available online.
13. Are there research opportunities?
Yes, students can participate in research projects and publications.
14. What are the career prospects after graduation?
High-paying roles in IT, finance, healthcare, and analytics sectors globally.
15. Can I pursue a Ph.D. after M.Sc. in Data Science LPU 2026?
Yes, graduates can pursue research or Ph.D. programs in data science and related fields.
Conclusion
Choosing M.Sc. in Data Science LPU 2026 is an excellent step for aspiring data professionals. With a structured curriculum, practical exposure, scholarship opportunities, and strong placement support, students can build a thriving career in one of the fastest-growing domains globally. Early application and preparation can help you avail maximum scholarships and discounts.
By following this guide, you can make informed decisions about eligibility, fees, career prospects, and application processes, ensuring a smooth journey into the world of data science.





