PhD Scholarship in Social Media Analytics (2020 Entry) at Nottingham University Business School China

Scholarship Overview

The above scholarship is to support research projects outlined under the following theme: 

Title of the theme: Social Media as Sources of Innovation Management

Research Background

In the age of Web 2.0, social media websites such as Facebook and Twitter have provided open and free environments for customers to express and publish their thoughts and opinions regarding products and services. These virtual customer communities generate a vast amount of data, which, if extracted and analysed properly, can provide rare and valuable knowledge for product and service innovation. Therefore, social media can serve as new innovation intermediaries for companies to capture the “cognitive surplus” generated outside of organizational boundaries and to integrate external resources and ideas across the entire product innovation and production funnel, spanning ideation, R&D, manufacturing and commercialization. Peer production and the participation of customers in the product design and engineering are transforming traditional business models and driving the competitiveness of companies.

This project focuses on examining various innovation models to monetize and extract value from crowd-generated content on social media. The insights from this research can contribute to the understanding of social media as a social-technological phenomenon, and, most importantly, to the understanding of how social media is utilized by organizations to manage innovation and new product development. A mixed method approach will be developed by combining natural language processing techniques, imagine processing algorithms, and predictive modelling to solve the previous methodological limitations in quantifying social media factors and addressing the subjectivity of social media data.

Admissions requirements for the programme in addition to the general scholarship requirement, if any:

It is expected that qualified applicants are familiar with, or are equipped with basic coding skills to develop, the following data mining/machine learning skills which include but are not limited to:

  • Natural language processing, e.g., text mining and sentiment analysis
  • Image processing techniques, e.g., Oriented FAST and Rotated BRIEF algorithms
  • Predictive modelling and data analytics
  • Network analysis 

Scholarship Description

University or Organization: Nottingham University Business School China

AwardGiven Below

Access Mode: Online

Number of Awards: Fully Funded

Nationality: International Students or Any

Field: familiar with the following subjects:

  • Natural language processing, e.g., text mining and sentiment analysis
  • Image processing techniques, e.g., Oriented FAST and Rotated BRIEF algorithms
  • Predictive modelling and data analytics
  • Network analysis 

Language: Ability to speak and write in English fluently and idiomatically.


  • Applicants must have a first class honours undergraduate degree or 65% and above for a Masters’ degree from a British university, or the equivalent from other institutions.
  • Applicants must meet the required English language proficiency for the relevant subject area. IELTS 6.5 (minimum 6.0 in all elements) or its equivalent is required for Faculty of Science and Engineering (FoSE) scholarship applicants.

How to apply

No separate application is required for applying for a scholarship but please make sure you quote the scholarship reference number in your PhD application form. It normally takes 7-8 weeks for a final decision to be made after the closing date.  List of required documents can be found on the ‘how to apply’ page. 

The available PhD scholarships cover:

  • Tuition fee
  • Monthly stipend (RMB4,500)
  • Medical insurance with designate providers
  • All above items are covered for up to 36 months based on satisfactory progression
  • All regulations set out in the UNNC PGR Scholarship Policy apply

Deadline: 15 May 2020

Official Link

Author: Kashif

This is Dr. Kashif. I Completed my Ph.D. in Computer Science from Stanford University. Now I am teaching as Assistant Professor. At this platform, I am posting the Scholarships, fellowships, Internships, Summer Programs, exchange programs, conferences, Entrepreneurial Events, Innovative Events, information from World Class Universities. if you have any question you can contact without any hesitation.

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