How is Pune university for MSc statistics?

University of Pune rocks, statistics is awesome, nice placements. Placements: MU Sigma, placement of our batch was quite smooth and as the data Science wave is going on. Various data hackathons were organized so that we get the hands on, on many statistical analysis tools and softwares.

Is Pune university entrance exam tough?

A Board of Examination and Evaluation member of the university, on the condition of anonymity, said the university examinations are quite tough to clear, and generally the pass percentage for all branches put together is around 30\%.

Is there MSc statistics in Pune university?

Department of Statistics : Savitribai Phule Pune University. Syllabus of Online Entrance Examination M.A./M. Sc. Statistics-2021.

How do you do MSc in statistics?

To pursue MSc in Statistics., the candidate must have a BSc degree in Statistics or Mathematics or any equivalent degree in Statistics with Computer Applications. Certain universities would also have a cutoff percentage for students to be eligible to apply.

What is world’s toughest exam?

Top 10 Toughest Exams in the World

• Gaokao.
• IIT-JEE (Indian Institute of Technology Joint Entrance Examination)
• UPSC (Union Public Services Commission)
• Mensa.
• GRE (Graduate Record Examination)
• CFA (Chartered Financial Analyst)
• CCIE (Cisco Certified Internetworking Expert)
• GATE (Graduate Aptitude Test in Engineering, India)

Which exam is most toughest in India?

List of Top 10 Toughest Exams in India

• UPSC Civil Services Exam.
• IIT- JEE.
• Chartered Accountant (CA)
• NEET UG.
• AIIMS UG.
• Graduate Aptitude Test in Engineering (GATE)
• National Defence Academy (NDA)
• Common-Law Admission Test (CLAT)

How can I get admission in MSc Pune University?

Pune University MSc & BSc Admission 2021: Application,…

1. Pune University MSc admission is subject to a valid score in Online Entrance Exam (OEE) conducted by the University.
2. Admission to BSc is completely based on merit scores obtained by the candidates in the last qualifying exam.

Is Statistics a easy subject?

Why is statistics so hard? There are a lot of technical terms in statistics that may become overwhelming at times. It involves many mathematical concepts, so students who are not very good at maths may struggle. The formulas are also arithmetically complex, making them difficult to apply without errors.

Who can study MSC Statistics?

The minimum eligibility for admission to this course is the completion of BSc in Mathematics/Statistics, or graduation in a related discipline from a recognized university. Duration: 2 Years. Eligibility: BSc Statistics with minimum 60\% marks. Admission Process: Both Merit and Entrance Based.

How can I get eligibility No of Pune University?

Eligibility Number: Every student gets this number when his eligibility is done by college in eligibility online portal. This number is must for creating profile. Please contact your college to get this number.

What is online entrance exam of Savitribai Phule Pune University?

Online Entrance Examination will be of 100 marks with multiple choice questions (MCQ). Online Entrance Exam paper will consist of 2 Sections. Students graduating from the colleges affiliated to the Savitribai Phule Pune University.

Where is Vishwakarma University for MSC ( statistics)?

B.Sc. (Statistics) M.Sc. (Statistics) View All Details Vishwakarma University location_onSurvey No. 2,3,4 Laxmi Nagar, Kondhwa Budruk, Pune, Maharashtra callphone_iphone9067002223, 9067002224, 9067002225, 9067002226 Courses Offered M.Sc. (Statistics) B.Sc. (Statistics) View All Details Total Colleges: 3

How to contact MIT-WPU Pune?

MIT-World Peace University – MIT-WPU location_onS.No. 124, Paud Road, Kothrud, Pune, Maharashtra call(020) 71177104 Courses Offered M.Sc. (Statistics)

What are the special courses taught in the Department of Statistics?

Some of the special courses taught in the Dept. are: Statistical Methods for quality and reliability, Survival Analysis, Actuarial Statistics, Clinical Trials, Statistical Analysis of Microarray Data, Regression & Time Series Analysis, Statistical Learning Data Mining, Stochastic Models in Finance