In the digital economy now poised on the brink of great promise, organizations utilize data as an invaluable asset and trust dataset-informed decisions. Lovely Professional University's Online MBA in Business Analytics provides the method, form and intangibles to give the proper training to be useful to organizations in using data to redesign their organization in an increasingly digital world. By combining core business administration with the latest in terms of professional analytics training, graduates will be well equipped to hold leadership positions within a world now fuelled by data. The program caters for the career-focused adult learners and make allowances for them to coordinate studies with work without sacrificing academic rigor. Designed with a focus on wages and employment readiness, LPU, with its proven market-university partnership, can assure that students learn practical skills that can operate across multiple sectors. Approvals & Industry Recognition Curriculum & Specializations Specialization TracksIntroduction
Program Overview
Attribute
Details
Degree Awarded
MBA in Business Analytics
Duration
2 Years (4 Semesters)
Learning Mode
100% Online
UGC Approval
Yes
NAAC Accreditation
A+
Academic Validations
Authority
Status
Significance
UGC-DEB
Approved
Valid for all career paths
NAAC
A+ Grade
Quality benchmark
NASSCOM
Partner
FutureSkills aligned
IBM
Collaborator
Academic alliance
Technology Partnerships
Eligibility Criteria
Academic Requirements
Qualification
Minimum Marks
Bachelor Degree
50% (45% for SC/ST)
Mathematics Background
Preferred but not compulsory
Ideal Candidate can be
Program Investment & Financing
Fee Structure
Component
Amount (INR)
Total Program Fee
1,50,000
Per Semester
37,500
Application Fee
1,100
Payment Options
Method
Details
EMI
₹6,250/month (24 months)
Education Loan
SBI, HDFC, Axis
Corporate Sponsorship
Up to 50% reimbursement
Scholarships
Merit-based (up to 30%)
Semester-wise Breakdown
Semester
Core Subjects
Analytics Focus
1
Management Principles
Business Statistics
2
Marketing Management
Predictive Modeling
3
Financial Analytics
Machine Learning
4
Strategic Management
Capstone Project
Activity | Deadline |
Application Deadline | July,15, 2025 |
Orientation | July 29-31, 2025 |
Classes Begin | August , 2025 |
Evaluation Methodology
Component | Weightage | Frequency |
Coding Assignments | 25% | Weekly |
Case Studies | 20% | Monthly |
Quizzes | 15% | Bi-weekly |
Final Project | 30% | Semester-end |
Grading System
Grade | Percentage Range |
A+ | 90-100% |
A | 80-89% |
B+ | 70-79% |
B | 60-69% |
Career Support & Placements
Industry | Hiring Partners |
Consulting | Deloitte, KPMG, EY |
Technology | Microsoft, Google, TCS |
Banking | HDFC, ICICI, Axis |
E-Commerce | Amazon, Flipkart |
Career Pathways
Position | Experience | Salary Range (INR) |
Business Analyst | 0-2 years | 6-10 LPA |
Data Scientist | 2-5 years | 10-18 LPA |
Analytics Manager | 5-8 years | 15-25 LPA |
Chief Data Officer | 10+ years | 25-50 LPA |
Emerging Opportunities
Q1: Is there any programming experience I should acquire prior to joining?
A: We start with programming fundamentals and advance slowly towards more advanced skills.
Q2: How are the interactive online analytics skills learned?
A: Using cloud labs, live data sets, and simulated case studies in partnership with industry partners.
Q3: What software tools do I learn?
A: Python, R, Tableau, Power BI, SQL, advanced Exceland related tools which are useful for analytics.
Q4: Do I require work experience?
A: Welcome but not compulsory. Recent graduates are also invited to apply.
Q5: How is that different from campus programs?
A: Same course and faculty, but with greater accommodation for working professionals.
Student Experiences
"The capstone project with an e-business venture provided me with hands-on experience which led to being hired as a retail analytics expert."
— Priya Nair, Analytics Consultant
"Balancing work and studies was a cakewalk with LPU's recorded lectures and weekend doubt-clearing sessions."
— Rahul Sharma, Data Engineer
Program Advantages
Benefit | Description |
Industry-Ready Skills | Curriculum designed with analytics leaders |
Flexible Learning | Study at your own pace |
Cost-Effective | 25% lower than comparable programs |
Career Advancement | 94% placement assistance rate |
Global Recognition | Degree valid for international opportunities |
Conclusion & Steps to take
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