The Online MBA in Data Science program at LPU seamlessly combines core business administration principles with cutting-edge data science capabilities. Students gain expertise in data analysis, predictive modeling, and strategic decision-making while developing a strong foundation in business management. The program emphasizes practical applications using industry-standard tools and technologies, preparing graduates for leadership roles in data-driven organizations.
Instructors:
English

Course Start Date:
Starting Soon
Application Deadline:
20th August 2025
Duration:
2 Years
₹ 1,09,680
₹ 1,31,840 - 1,80,000
Overview
The Online MBA in Data Science program offers a unique blend of business and data science expertise, equipping students with skills in advanced analytics, machine learning, and strategic decision-making. This UGC-entitled program provides comprehensive training in modern data analysis tools and business management principles.
Why Online MBA (Master of Business Administration)?
This program stands out for its industry-aligned curriculum, focus on in-demand analytical skills, hands-on experience with tools like Tableau and Power BI, NAAC A++ accreditation, and robust placement support. Students benefit from expert faculty and practical learning experiences.
What does this course have to offer?
Key Highlights
UGC Entitled & AICTE Approved Program
Weekend LIVE Classes with Expert Faculty
400+ Hours of Video Content
Industry-Standard Tools Training
Flexible Learning Schedule
Placement Support Available
Who is this programme for?
Recent graduates seeking data science careers
Working professionals wanting to transition to analytics roles
Business analysts looking to upgrade their skills
Professionals interested in data-driven decision making
Minimum Eligibility
Bachelor's degree in any discipline OR Company Secretary (CS) from ICSI OR Chartered Accountancy (CA) from ICAI OR Cost & Management Accountancy (CMA) from ICAI
Minimum 50% marks in qualifying exam
Who is the programme for?
The admission process is streamlined for working professionals. Candidates must have a bachelor's degree or equivalent professional qualification. The selection process includes document verification and academic credential assessment. The program follows a semester system with continuous evaluation.
Important Dates
Selection process
How to apply?
Curriculum
The curriculum spans 4 semesters combining core management courses with specialized data science modules. Key areas include Probability and Statistics, Data Science Toolbox, Advanced Data Visualization, Machine Learning, and Big Data Analytics. The program culminates with a capstone project.
There are 4 semesters in this course
The program offers a comprehensive curriculum integrating business fundamentals with advanced data science concepts. Over four semesters, students progress through courses in statistics, data visualization, machine learning, and big data analytics. The program includes both theoretical foundations and practical applications using industry-standard tools and technologies.
Semester 1
Semester 2
Semester 3
Semester 4
Programme Length
2 Years (4 Semesters) with weekend LIVE classes requiring 8-10 hours weekly commitment
Whom you will learn from?
Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.
Instructors
Associate Professor (Managerial Economics)
Dr. Tanima Dutta is a Expert in managerial economics, focusing on the application of economic theory to business practices.
Associate Professor (Marketing Management)
Specializes in marketing strategies and consumer behavior, providing insights into effective marketing practices.
Tuition Fee
The program fee is structured semester-wise with various payment options including EMI facilities. Merit-based scholarships and financial aid options are available for eligible students.
Fee Structure
Payment options
Financing options
Financial Aid
Learning Experience
Students experience a blend of LIVE and recorded lectures through an advanced Learning Management System. The program emphasizes hands-on learning with real-world projects and industry tools like Tableau and Power BI.
University Experience
LPU provides a modern digital learning environment with comprehensive access to study materials, recorded lectures, and interactive sessions. Students get opportunities for industry networking and skill development.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

About the University
Lovely Professional University (LPU), established in 2005, is a leading private university located in Jalandhar, Punjab, India. Known for its commitment to academic excellence and holistic student development, LPU offers a wide array of undergraduate, postgraduate, and doctoral programs across various disciplines including engineering, management, law, arts, and sciences. The university is equipped with state-of-the-art facilities and modern amenities that foster a conducive learning environment. LPU emphasizes industry-relevant education and has established strong connections with various sectors, enhancing its students' employability. With a vibrant campus life that promotes creativity and cultural diversity, LPU aims to prepare students to thrive in a competitive global landscape.
#16
NIRF Rank 2023
30,000
Total Enrollment
20:1
Students:Faculty Ratio
Affiliation & Recognition
UGC
NAAC
AICTE
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Instructors
Associate Professor (Managerial Economics)
Dr. Tanima Dutta is a Expert in managerial economics, focusing on the application of economic theory to business practices.
Associate Professor (Marketing Management)
Specializes in marketing strategies and consumer behavior, providing insights into effective marketing practices.
Career services
Lovely Professional University provides extensive career services aimed at enhancing student employability and facilitating successful transitions into the workforce. The university's dedicated placement cell organizes recruitment drives where numerous national and multinational companies participate each year. This proactive approach ensures that students have access to a wide range of job opportunities upon graduation. The placement cell also offers personalized counseling sessions to help students identify their strengths and career aspirations. Workshops on resume writing, interview preparation, and professional etiquette are regularly conducted to equip students with essential skills needed in the job market. Additionally, LPU fosters partnerships with industries to create internship opportunities that allow students to gain practical experience while studying. The university also emphasizes entrepreneurship by providing resources and mentorship for students interested in starting their own ventures. With a focus on holistic development, LPU prepares its graduates not only academically but also professionally, ensuring they are well-rounded individuals ready to face the challenges of the global job market.
85%
Placement Rate
7 LPA
Average Salary After Graduation
2,100+
Number of Partnerships with Recruiters
Top Recruiters

Course Start Date:
Starting Soon
Application Deadline:
20th August 2025
Duration:
2 Years
₹ 1,09,680
₹ 1,31,840 - 1,80,000
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.