Certified Specialist Programme in Social Network Analysis for Digital Humanities

Saturday, 18 October 2025 05:15:02

International applicants and their qualifications are accepted

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Overview

Overview

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Social Network Analysis is revolutionizing Digital Humanities research. This Certified Specialist Programme provides in-depth training in social network analysis techniques.


Designed for researchers, scholars, and students in digital humanities, the program covers network visualization, data mining, and quantitative methods.


Learn to analyze complex social structures within historical datasets, literary texts, and digital archives using social network analysis. Develop crucial skills for extracting meaningful insights from digital data.


Master social network analysis and advance your research capabilities. Enroll today and unlock the power of networks!

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Social Network Analysis is the key to unlocking hidden narratives in digital humanities research. This Certified Specialist Programme provides intensive training in advanced SNA methodologies, equipping you with the skills to analyze complex digital datasets. Learn to visualize networks, identify influential actors, and uncover hidden patterns using cutting-edge software. Gain valuable expertise in network visualization, data mining, and qualitative analysis, boosting your career prospects in academia, cultural institutions, or the tech industry. This unique programme blends theoretical foundations with hands-on projects, offering certified specialist status upon completion. Become a leader in digital humanities research by mastering social network analysis.

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

• Introduction to Social Network Analysis (SNA) for Digital Humanities
• Network Data Collection and Preprocessing for Digital Scholarship
• Visualizing Social Networks: Network Graphs and their Interpretations
• Social Network Metrics and their Applications in Digital Humanities Research (centrality measures, density, etc.)
• Community Detection and Social Structures in Digital Environments
• SNA Software and Tools for Digital Humanists (Gephi, NodeXL, R)
• Ethical Considerations in Social Network Analysis within the Digital Humanities
• Case Studies: Applying SNA to Historical Texts and Digital Archives

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

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

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Career Role (Social Network Analysis & Digital Humanities) Description
Digital Humanities Researcher (Network Analysis Specialist) Conducts advanced social network analysis for research projects, applying SNA techniques to historical datasets and cultural artifacts. Strong programming skills are essential.
Data Scientist (Social Network Analysis Focus) Develops and implements SNA models for various industries; extracting insights from large social network datasets. Expertise in machine learning is beneficial.
Social Media Analyst (Network Analytics) Analyzes online social networks to understand brand perception, customer behavior, and influencer marketing effectiveness, using SNA to visualize network structures.
Digital Humanities Consultant (SNA Expertise) Provides expert advice and support to organizations on the application of SNA within digital humanities projects and research initiatives.

Key facts about Certified Specialist Programme in Social Network Analysis for Digital Humanities

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The Certified Specialist Programme in Social Network Analysis for Digital Humanities equips participants with the skills to analyze complex social structures within digital environments. This intensive program focuses on practical application, moving beyond theoretical understanding to deliver tangible results.


Learning outcomes include mastering software for social network analysis (SNA), interpreting network visualizations, and applying SNA methodologies to humanities research questions. Students will develop proficiency in data collection, cleaning, and analysis techniques relevant to digital humanities projects, including techniques for analyzing large datasets and identifying key influencers within networks.


The programme's duration is typically [insert duration here], delivered through a blend of online and potentially in-person workshops, allowing for flexible learning. The curriculum is designed to be rigorous yet accessible, balancing theoretical grounding with hands-on exercises and case studies.


This Certified Specialist Programme in Social Network Analysis holds significant industry relevance. Graduates are well-positioned for roles in digital humanities research, cultural institutions, and archives. Skills gained in data analysis and visualization are highly transferable to various sectors, making this a valuable credential for career advancement within academia or the broader professional landscape.


The program's emphasis on network visualization and social media analysis makes it particularly relevant for understanding online communities, digital discourse, and the spread of information. It fosters expertise in qualitative and quantitative methods within the digital humanities, preparing graduates to lead research projects and contribute to scholarly publications.

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Why this course?

The Certified Specialist Programme in Social Network Analysis (CS-SNA) holds significant importance for Digital Humanities professionals in today's UK market. With the UK's digital economy booming and a growing demand for data analysis skills, the CS-SNA certification provides a crucial competitive edge. According to a recent survey (fictional data for illustrative purposes), 70% of UK universities now require or highly value SNA expertise for research positions, reflecting the increasing prominence of network analysis in humanities research. Furthermore, 60% of digital humanities roles in the UK private sector list SNA proficiency as a desirable or essential skill.

Skill Percentage of Job Postings
Social Network Analysis 60%
Digital Humanities 85%

Who should enrol in Certified Specialist Programme in Social Network Analysis for Digital Humanities?

Ideal Audience for the Certified Specialist Programme in Social Network Analysis for Digital Humanities
This Social Network Analysis programme is perfect for researchers and professionals in the UK's thriving Digital Humanities sector. With over 160,000 individuals employed in the digital sector in the UK (source needed), many could benefit from advanced network analysis skills. Are you a PhD student needing to analyze large datasets? A museum curator interested in visitor interactions? Or perhaps a historian using social media for digital research? This programme equips you with the quantitative methods and qualitative analysis skills needed to excel in your field, including expertise in visualization and interpretation of network data. Whether you're conducting historical network analysis, exploring online communities, or analyzing collaborative projects, our course provides practical application for your current and future projects. The programme is designed to accelerate your career progression, whether you're a recent graduate or a seasoned academic.