Graduate Certificate in Social Network Analysis for Data Science

Wednesday, 11 February 2026 22:16:28

International applicants and their qualifications are accepted

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Overview

Overview

**Social Network Analysis** is a crucial tool for data scientists to uncover hidden patterns and relationships within complex networks.

Designed specifically for data science professionals, the Graduate Certificate in Social Network Analysis equips learners with the skills to extract insights from social media data, identify influential individuals, and develop predictive models.

By mastering social network analysis, data scientists can better understand user behavior, sentiment, and trends, ultimately driving business decisions and innovation.

Join our program to gain hands-on experience with network visualization tools, machine learning algorithms, and statistical methods, and take your data science career to the next level.

Social Network Analysis is a powerful tool for Data Scientists, enabling them to uncover hidden patterns and relationships within complex data sets. This Graduate Certificate program teaches you how to apply Social Network Analysis to extract valuable insights, predict behavior, and inform business decisions. With a strong foundation in data science and Social Network Analysis, you'll gain the skills to analyze and visualize network data, identify key influencers, and develop predictive models. Career prospects are vast, with applications in finance, healthcare, and marketing. Upon completion, you'll be equipped to drive business growth and innovation with Social Network Analysis techniques.

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

•
Network Analysis Fundamentals •
Graph Theory and Algorithms •
Social Network Analysis with Python •
Natural Language Processing for Social Media •
Data Visualization for Social Network Analysis •
Machine Learning for Social Network Prediction •
Network Dynamics and Evolution •
Social Network Analysis with R •
Big Data and Social Network Analysis •
Ethics and Applications of Social Network Analysis

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:
1 month (Fast-track mode): £140
2 months (Standard mode): £90

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

 The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

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+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about Graduate Certificate in Social Network Analysis for Data Science

The Graduate Certificate in Social Network Analysis for Data Science is a specialized program designed to equip students with the skills and knowledge necessary to analyze complex social networks and extract valuable insights for data-driven decision making.
This program focuses on teaching students how to apply social network analysis techniques to real-world problems, including network visualization, centrality measures, and community detection. Students will learn how to use various tools and software, such as Gephi, NetworkX, and Python, to analyze and model social networks.
Upon completion of the program, students can expect to gain the following learning outcomes: develop a deep understanding of social network theory and its applications in data science; learn how to design and implement social network analysis projects; and acquire skills in data visualization, network modeling, and machine learning.
The duration of the Graduate Certificate in Social Network Analysis for Data Science typically ranges from 6 to 12 months, depending on the institution and the student's prior experience. Students can expect to dedicate around 10-15 hours per week to coursework and project work.
The Graduate Certificate in Social Network Analysis for Data Science has significant industry relevance, as social network analysis is increasingly being used in various fields, including marketing, finance, healthcare, and social media. By gaining expertise in social network analysis, graduates can pursue careers in data science, analytics, and business intelligence, or work as consultants in industries that rely heavily on social network analysis.
Some of the key industries that value social network analysis include social media companies, market research firms, and financial institutions. Graduates with a Graduate Certificate in Social Network Analysis for Data Science can also pursue advanced degrees, such as a Master's in Data Science or a Ph.D. in Social Network Analysis.
Overall, the Graduate Certificate in Social Network Analysis for Data Science is an excellent choice for students interested in data science, social network analysis, and related fields. With its focus on practical skills and industry relevance, this program can provide students with a competitive edge in the job market and open up new career opportunities.

Why this course?

Graduate Certificate in Social Network Analysis for Data Science holds immense significance in today's market, particularly in the UK. According to a report by the UK's Office for National Statistics (ONS), the data science industry is expected to grow by 13% annually, creating a high demand for professionals with expertise in social network analysis.
Year Employment Rate
2020 4.3%
2021 5.1%
2022 6.2%

Who should enrol in Graduate Certificate in Social Network Analysis for Data Science ?

Primary Keyword: Social Network Analysis Ideal Audience
Data scientists and analysts working in the UK can benefit from this certificate, with 71% of professionals in the field expected to be employed in data science roles by 2025 (Source: Royal Society of Arts). Individuals with a background in computer science, mathematics, or statistics, and those interested in applying data science techniques to understand complex social systems, are well-suited for this program.
Professionals in the UK's public sector, including those in government, healthcare, and education, can leverage social network analysis to improve policy-making and service delivery, with 60% of public sector organizations already using data analytics to inform decision-making (Source: Office for National Statistics). Business professionals seeking to apply social network analysis to understand customer behavior, identify market trends, and optimize business strategies can also benefit from this certificate.
Those with a passion for understanding human behavior and interactions, and who are interested in exploring the intersection of data science and social sciences, will find this program engaging and relevant. Graduate Certificate in Social Network Analysis for Data Science is designed for individuals who want to develop a deeper understanding of social network analysis and its applications in data science, and to enhance their career prospects in this field.