Lovely Professional University
M.Sc. (Statistics and Data Analytics) at Lovely Professional University
The M.Sc. (Statistics and Data Analytics) program at Lovely Professional University is a comprehensive two-year postgraduate course designed to equip students with advanced statistical and analytical skills. The curriculum focuses on data-driven decision-making, statistical modeling, and applications of analytics in various domains such as business, healthcare, and technology. With the rise of data-centric industries, this program offers immense career potential in areas such as data science, business intelligence, and quantitative analysis.
M.Sc. Course Details
| Attribute | Details |
|---|---|
| Course Name | M.Sc. (Statistics and Data Analytics) |
| University | Lovely Professional University |
| Duration | 2 years |
| Annual Fee | ₹50,000 per year |
| Eligibility | Pass with 55% aggregate marks in Bachelor’s degree with Statistics/Mathematics or equivalent. |
| Eligibility Relaxation | 5% relaxation for candidates from North-East states, Sikkim, Defence Personnel and Dependents, or Wards of Kashmiri Migrants. |
M.Sc. (Statistics and Data Analytics) Course Fee
The total fee for the M.Sc. (Statistics and Data Analytics) program is structured as follows:
- Annual Fee: ₹50,000
- Total Fee (for 2 years): ₹1,00,000
The fee covers tuition, access to university facilities, and participation in workshops and seminars. Additional costs such as accommodation, books, and personal expenses may vary based on individual preferences and requirements.
Eligibility Criteria for M.Sc. (Statistics and Data Analytics) at LPU
To enroll in the M.Sc. (Statistics and Data Analytics) program, applicants must meet the following criteria:
| Criteria | Details |
|---|---|
| Minimum Qualification | Bachelor's degree (any discipline) with Statistics or Mathematics as a subject OR B.Tech./B.E./B.Sc. (Engineering) |
| Minimum Marks Required | 55% aggregate marks |
| Eligibility Relaxation (5%) | - Candidates from North-East states and Sikkim 🏔️ - Defence personnel and their dependents 🎖️ - Wards of Kashmiri migrants 🏡 |
M.Sc. (Statistics and Data Analytics) Course Outline
The M.Sc. (Statistics and Data Analytics) program is designed to balance theoretical knowledge and practical application. Below are the key components of the curriculum:
| Category | Key Topics |
|---|---|
| Core Subjects | Statistical Inference, Probability Theory, Multivariate Analysis, Linear Models, Time Series Analysis |
| Data Analytics | Big Data Analytics, Machine Learning, Data Visualization, Predictive Analytics |
| Practical Training | Hands-on with R, Python, SAS, SPSS; Big Data tools like Hadoop, Tableau; Industry case studies |
| Research & Dissertation | Guided research projects, collaboration with industry experts and mentors |
This program is ideal for aspiring data enthusiasts looking to develop expertise in analytics and thrive in a competitive job market.
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