With a rank of 54, 82% UG score, and belonging to the general category, your chances of securing a seat in MSc Statistics are very good. Here's why:

• Strong Combined Score: Your high UG score significantly boosts your combined score (50% weightage each for UG and PU CET PG).

• Competitive Rank: A rank of 54 suggests you performed very well in the entrance exam, placing you amongst the top contenders.

Remember:

• Limited Seats & Competition: The final outcome depends on the number of seats available and the competition level within the general category.

Here's a recommendation:

• Research Previous Years: Look for information on previous year's cut-offs for MSc Statistics in the universities you're interested in. This will give you a clearer idea of your chances with a rank of 54.

With your strong academic performance, you have a high chance of securing admission in MSc Statistics at many universities. Stay informed and apply strategically to maximize your options.

hope this helps you!!

For HR in BBA, focus on core HR and organizational management courses:

• Organizational Management (OMM): Understands how organizations function and manage people.
• Human Resource Management (HRM): Covers core HR practices like recruitment, training, and compensation.
• Business Communication (BCOM): Develops communication skills crucial for HR, like writing and conflict resolution.
• Industrial Psychology: Provides insights into employee behavior for motivation and engagement.

While beneficial, other subjects are less directly relevant:

• Math & Stats: Develop analytical skills for data-driven HR decisions.
• Economics: Understands economic principles for compensation and benefits.
• Accounting & Finance: Basic understanding can be helpful for HR budgeting.
• Computer Applications & Data Science: Valuable for analyzing HR data.

Choose courses based on your interests and career goals, but core HR and management are essential.

Dear student,

it's very difficult to find syllabus without any Collage or University but i provide General syllabus for the master of Statistics program, base on ISI and other Collage or University

1. first semester syllabus

• mathematical Analysis
• Linear Algebra
• Probability Theory

Statistical inference - I

2. second semester syllabus :

• measure and integration
• Sampling Theory
• Statistical inference - II
• Regression Analysis
• Design of Experiments

3. third semester syllabus

• Multivariate Analysis
• Time Series Analysis
• Stochastics Processes
• Elective - I

4. fourth semester syllabus :

• Bayesian Inference
• Survival Analysis
• Elective - II
• Project / Dissertation

THANK YOU .