

MBA (Business Analytics) Course at Lovely Professional University
Lovely Professional University (LPU) is one of the most renowned universities in India, offering an array of undergraduate, postgraduate, and professional courses to students. Among its diverse range of programs, the MBA in Business Analytics is a prominent choice for students aiming to make a mark in the growing field of data science and business analysis. This course focuses on enhancing the technical and analytical skills of students, enabling them to use data-driven approaches in business decision-making.
MBA (Business Analytics) Course Highlights
| Feature | Details |
|---|---|
| Course Name | MBA (Business Analytics) |
| Duration | 2 years |
| Total Fees | ₹2,50,000 per year |
| Eligibility | Bachelor’s degree in relevant field |
| Entrance Exams | LPUNEST, CAT, MAT, XAT, NMAT, CMAT, CUET |
| Specialization | Business Analytics, Data Science |
| Mode of Learning | Full-time, On-campus |
| Career Opportunities | Data Scientist, Data Analyst, Business Intelligence Analyst, Machine Learning Engineer |
MBA (Business Analytics) Course Fees at LPU
The course fees for the MBA (Business Analytics) at LPU are as follows:
| Category | Fees Per Year (INR) |
|---|---|
| Course Fees | 2,50,000 |
The course fee covers all aspects of the program, including tuition, infrastructure, and access to LPU's world-class facilities. The fees can be paid annually, and the payment process is simplified for students through LPU's online portal. Additionally, the university provides various scholarships and financial aid options to meritorious students, which can reduce the financial burden significantly.
Eligibility Criteria for MBA (Business Analytics) at LPU
To be eligible for the MBA (Business Analytics) program at Lovely Professional University, applicants must meet the following requirements:
| Criteria | Details |
|---|---|
| Academic Qualifications | Bachelor's degree in B.E. / B.Tech (any discipline), B.Sc. (Physics, Chemistry, Maths), B.Sc. (Maths), B.A. (Economics, Math, or Statistics), B.Com, BBA, BCA, or an equivalent qualification. |
| Entrance Exams (Any One Required) | LPUNEST, CAT, MAT, XAT, NMAT, CMAT, CUET |
| Additional Selection Process | 1. Video Essay: Candidates must submit a video explaining their motivation for pursuing the program. 2. Interview: Shortlisted candidates will attend an interview to assess analytical and communication skills. |
| Alternative Qualifications | Candidates with CS (ICSI), CA (ICAI), or CMA (ICAI) can apply, subject to qualifying the video essay & interview. |
| Relaxation Criteria | 5% relaxation for candidates from North-East states, Sikkim, Defence Personnel & Dependents, and Wards of Kashmiri Migrants. |
LPUNEST Exam Details
| Mode | Description |
|---|---|
| Online (Remotely Proctored) | Take the test from home with supervision. (Recommended by the university) |
| Test Center-Based | Candidates can opt for an in-person exam at designated centers. |
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MBA (Business Analytics) Course Outline
The MBA (Business Analytics) program at Lovely Professional University focuses on providing students with a blend of technical knowledge and business acumen. The curriculum is designed to cover all essential aspects of business analytics, including statistical analysis, data visualization, business intelligence, machine learning, and data management.
| Subject | Description |
|---|---|
| Business Analytics Fundamentals | Introduction to analytics concepts, tools, and techniques for business data analysis. |
| Quantitative Methods for Business | Application of mathematical and statistical techniques to solve business problems. |
| Data Mining & Predictive Modeling | Techniques for extracting insights from data and creating predictive models for decision-making. |
| Big Data & Cloud Computing | Understanding big data technologies and cloud computing platforms used in analytics. |
| Data Visualization | Developing skills to visually represent data for better business decision-making. |
| Machine Learning in Business | Applying machine learning algorithms to analyze business trends and optimize operations. |
| Business Intelligence | Exploring business intelligence tools for data-driven reporting and analysis. |
| Ethics in Data Analytics | Understanding ethical considerations and responsible data usage in business. |
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