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Lovely Professional University
LPU Online MBA in Data Science is a 2-year postgraduate program designed for working professionals and fresh graduates.
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Study data science, data analysis, artificial intelligence, machine learning and related technology subjects through this online MBA in Data Science course. Build technical knowledge and data-driven business skills through flexible online learning.
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Online MBA in Data Science from Lovely Professional University is a 2-year postgraduate program that allows students to gain data science skills and learn about data analysis, artificial intelligence, machine learning, business management, and related areas through online learning.
This Program May Be Right For You If
This Program May Not Be Right For You If
Build data science expertise with in-demand skills, industry tools, and placement support.
Develop data analysis skills through an industry-aligned curriculum for strategic business decisions.
Build skills in Probability, Statistics, Data Science, and Advanced Data Visualization.
Learn Tableau, Power BI, Machine Learning, Statistics, and Big Data Technologies.
Earn a UGC-entitled and AICTE-approved Online MBA degree with expert faculty.
Access placement opportunities and career support through the Professional Enhancement Programme.
Best for people who want to learn data science and build careers in data analysis, AI, ML, and related fields.
The program suits graduates seeking careers in data science, data analysis, artificial intelligence, or related fields.
Working professionals can pursue this online MBA to gain data science knowledge alongside their work experience.
Those interested in data science, machine learning, data analysis, and business intelligence should consider enrolling.
Individuals seeking to move into data science, data analysis, or artificial intelligence can apply for this course.
Ideal for students who want to build careers in data science, data analysis, machine learning, and related fields.
Build Strong Data Science Skills
Learn data science fundamentals, data analysis, and techniques for generating business insights.
Develop Industry-Relevant Skills
Build skills in probability, statistics, data visualization, and essential data science tools.
Master Data Science Tools
Gain practical knowledge of Tableau, Power BI, machine learning, and big data technologies.
Learn with Expert Guidance
Study an industry-driven curriculum with expert faculty through flexible online learning.
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Prepare for Analytics Careers
Build career-ready analytics skills with placement and professional enhancement support.
| Type| | Subjects |
|---|---|
| Core| | EACC506: Financial Reporting,Statements and Analysis |
| Core| | EECO515: Managerial Economics |
| Core| | EMGN578: International Business Environment |
| Core| | EMKT503: Marketing Management |
| Core| | EMGN581: Organisational Behaviour and Human Resource Dynamics |
| Major| | Core Courses |
Skills You'll Build
Tools & Technologies
Curriculum of this online MBA in Data Science from Lovely Professional University covers financial reporting, management, marketing, business analytics, research methodology, probability and statistics, data science, machine learning, Python, big data analytics, and capstone project across four semesters.
Explore answers about the online MBA in Data Science from Lovely Professional University, including skills, curriculum, practical learning, technologies, management coursework, projects, and career opportunities.
The online MBA degree will provide students with management and data science coursework. Students will study financial reporting, managerial economics, marketing management, corporate finance, business analytics, research methodology, probability and statistics, data science, machine learning, data analytics with Python, big data analytics, and capstone project. This way, students will develop both management and data science skills.
Those who graduate with an online MBA in Data Science from Lovely Professional University can pursue careers in data science, data analytics, machine learning, business intelligence, and big data.
Data Scientist
Analyses large datasets using statistical and machine learning techniques to generate insights.
INR 15.2 - 16.8 LPA
Average Annual Salary Range
Data Analyst
Analyses data to identify trends and support informed business decisions.
INR 6 - 10 LPA
Average Annual Salary Range
Machine Learning Engineer
Develops and implements machine learning models to solve business and technical problems.
INR 8 - 15 LPA
Average Annual Salary Range
Business Intelligence Analyst
Creates dashboards and reports to transform data into actionable business insights.
INR 9.5 - 10.5 LPA
Average Annual Salary Range
Data Science Consultant
Provides data-driven solutions and analytical recommendations to address business challenges.
INR 10 - 18 LPA
Average Annual Salary Range
Big Data Analyst
Works with large datasets to identify patterns, trends, and insights for organizations.
INR 7 - 14 LPA
Average Annual Salary Range
Build business management and advanced data science skills with the Online MBA in Data Science from LPU Online. The 2-year program offers 102 credits, LIVE and recorded lectures, an industry-aligned curriculum, expert faculty, industry tools, placement support, an advanced LMS, and a degree from a NAAC A++ university. Students can also access LinkedIn Learning courses covering data science, AI, analytics, data visualization, and business intelligence.
| Feature | LPU Online MBA Data Science | Other Online MBA Data Science Programs |
|---|---|---|
| Curriculum | Industry-driven curriculum combining business administration with advanced data science | Curriculum generally combines core management subjects with data science, analytics, and skill-based courses |
| Learning Model | LIVE + Recorded video lectures by expert faculty | Most programs offer recorded lectures with scheduled live or interactive sessions |
| Program Structure | 102 total credits across 4 semesters | Most 2-year online MBA programs use a semester-based credit structure |
| Program Fee | ₹40,400 per semester with current 20% Student Grant | Online MBA fees commonly vary by university and program structure |
| Data Science Skills | Industry-focused learning in probability, statistics, data science, and advanced data visualization | Data science programs commonly cover data analysis, statistics, visualization, and related topics |
| Industry Tools | Proficiency in Tableau, Power BI, machine learning, statistics, and big data technologies | Tool exposure varies across programs and may include analytics, statistical, visualization, and machine learning software |
| Placement Support | Professional Enhancement Programme with placement support and impactful placement drives | Career services may include job listings, career counselling, and placement assistance |
| Learning Platform | Advanced LMS with online learning resources and interactive features | LMS platforms generally provide e-content, recorded lectures, assessments, and discussion tools |
| Study Flexibility | Flexible online learning with 8-10 hours per week recommended commitment | Flexible online programs generally require independent weekly study alongside lectures |
| Accreditation | Online MBA degree from a NAAC A++ university, duly entitled by UGC and approved by AICTE | Recognition depends on university accreditation and applicable regulatory entitlement |
| Degree Recognition | Degree recognized by WES for study in Canada and USA | Recognition for international study depends on applicable university and credential evaluation requirements |
| Degree Equivalence | Degree treated at par with the corresponding regular program degree | Recognized online degrees are generally treated at par with equivalent regular degrees when regulatory requirements are met |
| Elective & Skill Courses | 6 core courses, 6 discipline specific electives, 2 generic electives, and 1 ability enhancement course | Elective and skill-based components commonly supplement core management and data science subjects |
| University Resources | Access to university infrastructure, sports, academic and research facilities | Online students generally receive digital learning access, with campus facilities depending on university policy |
| Student Engagement | Opportunities for co-curricular, extracurricular, cultural, and sports activities | Some universities provide optional student activities, webinars, clubs, and community engagement |
| Entrepreneurship Support | Entrepreneurial avenues through incubation centres providing technology support | Entrepreneurship support may include workshops, mentoring, incubation, or startup-focused activities |
| Fee Assistance | No-Cost EMI available with current 20% Student Grant | EMI, scholarships, and fee concessions depend on the university and applicant eligibility |
Explore opportunities with leading recruiters of Lovely Professional University Online.
Semester-Wise Fee
₹40,400
Fee Details
Actual Fee per Semester: ₹50,000 | Applicable Fee per Semester: ₹40,400
Student Grant: 20% | Total Program Duration: 2 Years (4 Semesters)
Amount Payable per Semester: ₹40,400 | Total Fee Payable (Semester Mode): ₹1,61,600
Lumpsum Fee
₹1,46,240
Fee Details
Actual Program Fee: ₹2,00,000
Applicable Fee: ₹1,46,240 | Fee Benefit: 20% + 10% Grant
One-Time Payment Amount: ₹1,46,240
Sign up and pay the initial registration fee.
Fill in your details, upload documents, and pay the program fee.
Receive provisional registration and LMS login credentials by email.
Submit documents for verification and receive your admission confirmation.
Sign up and pay the initial registration fee.
Fill in your details, upload documents, and pay the program fee.
Receive provisional registration and LMS login credentials by email.
Submit documents for verification and receive your admission confirmation.
Bachelor’s degree in any discipline or equivalent
OR Company Secretary (CS) from ICSI
OR Chartered Accountancy (CA) from ICAI
OR Cost & Management Accountancy (CMA) from ICAI
Find answers about the online MBA in Data Science from Lovely Professional University, recognition, careers, live classes, credits, placement support, LMS, eligibility, financial assistance, entrepreneurship, and admission.
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