Graduate Certificate in Social Network Analysis in Data Science

Thursday, 12 February 2026 20:52:15

International applicants and their qualifications are accepted

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Overview

Overview

**Social Network Analysis** is a crucial tool in Data Science, helping organizations understand complex relationships and patterns within their data.

Designed for professionals and data enthusiasts alike, this Graduate Certificate program equips learners with the skills to extract insights from social networks, identify key influencers, and develop predictive models.

Through a combination of theoretical foundations and practical applications, participants will learn to analyze and visualize social networks, leveraging techniques such as network visualization, centrality measures, and community detection.

With a focus on real-world applications, this program is ideal for those seeking to apply social network analysis in various domains, including marketing, sociology, and public health.

Join our community of learners and take the first step towards unlocking the power of social network analysis in Data Science. Explore the program further to discover how you can harness its potential.

Social Network Analysis is a powerful tool in Data Science, and our Graduate Certificate program will teach you how to harness its potential. By learning the intricacies of network structures and dynamics, you'll gain a deeper understanding of how individuals and groups interact. With this knowledge, you'll be able to Social Network Analysis to uncover hidden patterns and relationships in complex data sets. Our course offers Social Network Analysis benefits, including improved data visualization, enhanced decision-making, and increased career prospects in fields such as data science, marketing, and sociology. You'll also develop skills in network modeling, centrality measures, and community detection.

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 •
Network Visualization and Communication •
Machine Learning for Social Network Analysis •
Data Mining and Social Network Data •
Social Network Analysis with R •
Network Dynamics and Evolution •
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

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

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

The Graduate Certificate in Social Network Analysis in Data Science is a specialized program designed to equip students with the skills and knowledge necessary to analyze and understand complex social networks in various industries.
This program focuses on teaching students how to extract insights from social media data, identify patterns and trends, and develop predictive models to inform business decisions. By the end of the program, students will be able to apply social network analysis techniques to real-world problems and contribute to the development of innovative data-driven solutions.
The duration of the Graduate Certificate in Social Network Analysis in Data Science typically ranges from 6 to 12 months, depending on the institution and the student's prior experience. Students can expect to spend around 12-15 hours per week studying and completing coursework, as well as working on projects and assignments.
The program is highly relevant to the data science industry, as social network analysis is a key component of many data science applications. Companies across various sectors, including finance, healthcare, and marketing, rely on social network analysis to gain a deeper understanding of their customers, identify new business opportunities, and optimize their marketing strategies.
Upon completion of the program, students can expect to gain a strong foundation in social network analysis, data mining, and machine learning. They will also develop skills in programming languages such as Python, R, and SQL, as well as data visualization tools like Tableau and Power BI.
Graduates of the Graduate Certificate in Social Network Analysis in Data Science can pursue a range of career opportunities, including data scientist, social media analyst, business analyst, and market researcher. They can also further their education by pursuing a master's degree in data science or a related field.
Overall, the Graduate Certificate in Social Network Analysis in Data Science is an excellent choice for individuals who want to develop a strong understanding of social network analysis and its applications in data science. With its industry-relevant curriculum and flexible duration, this program is ideal for working professionals and students looking to upskill in this rapidly growing field.

Why this course?

Graduate Certificate in Social Network Analysis is a highly sought-after qualification in today's data science market, particularly in the UK. According to a report by the Higher Education Statistics Agency (HESA), there were over 14,000 students enrolled in social science and statistics courses in the UK in 2020, with a significant increase in demand for data science and analytics skills.
UK Job Market Demand Graduate Certificate in Social Network Analysis
14,000 High demand for data scientists and analysts in the UK, with a projected growth rate of 13% by 2025.
£25,000 - £40,000 Graduates with a Graduate Certificate in Social Network Analysis can expect salaries ranging from £25,000 to £40,000 per annum.

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

Primary Keyword: Social Network Analysis Ideal Audience
Professionals and academics in the field of data science, particularly those working with large datasets and complex networks, are the primary target audience for this Graduate Certificate. Secondary keywords: Data Science, Network Analysis, Social Media, Big Data, Analytics, Research, Academia, Industry.
In the UK, the demand for professionals with expertise in social network analysis is on the rise, driven by the increasing use of social media and online platforms in various industries, such as finance, healthcare, and marketing. Key statistics: According to a report by the Chartered Institute of Marketing, 70% of marketers in the UK use social media analytics to measure campaign success, highlighting the need for professionals with social network analysis skills.
Individuals interested in pursuing a career in data science, research, or academia, as well as those looking to enhance their skills in social media marketing and analytics, are also suitable candidates for this Graduate Certificate. Prerequisites: A bachelor's degree in a relevant field, such as computer science, mathematics, or statistics, and basic knowledge of programming languages like Python or R.