Applied Statistics With Network Analysis

Application Dates
Applications Open
1 Nov 2019
Applications Closing
14 Aug 2020
Course Overview
Type
Masters (Coursework)
Tuition Fees
390 000 RUB
Location
HSE University Moscow Russia
Next Intake
November 1, 2020
Duration
2 years
Study Field

Course Overview

The Applied Statistics with Network Analysis Master’s programme is for students who wish to develop their statistical knowledge and credentials by obtaining a graduate degree in Applied Statistics, regardless of their primary field of study. Given the focus of the ANR-Lab, an emphasis on network analytic methods will further enhance the programme’s offering, since networks recently became a popular source of data in a variety of fields.

https://www.hse.ru/en/ma/sna

Level

Postgraduate (Master)

Study Mode

Full time 

Department

International laboratory for Applied Network Research

Benefits

The programme trains students in the area of social network analysis. In recent years, this direction of data science has become more popular and is used in various fields, including Psychology, Sociology, Political Science, Economics, Biology, Computer Science and Energy.

Entry Requirements

Students are selected on the basis of their portfolio.

Mandatory part

1. Education

You should provide a copy of your higher education certificate (Bacherlor’s Degree, Master’s Degree, or Specialist’s Degree).

2. Motivation letter / Personal Statement

(in English, approx. 1000 words)

3. Letters of recommendations

4. Cover letter

Cover letter with your education and professional experience

5. Proof of English language proficiency

The proof is not required if your native language is English, or if you have studied in English.

The hours of English at the university are taken into account. TOEFL, IELTS or equivalent tests are optional, but are a bonus.

Portfolio criteria: https://admissions.hse.ru/en/graduate-apply/portfolio

Brochure/ Information Request

HSE Education & Training Advisory Centre

Email: inter@hse.ru

Phone: +7 495 531 0059

WhatsApp +7 916 3118521

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