BSc (Hons) Computational Social Science

Dublin

 

INTAKE: September

Program Overview

The BSc (Hons) in Computational Social Science at University College Dublin (UCD), Ireland, is a cutting-edge undergraduate program designed to equip students with a deep understanding of both social science principles and computational techniques. This interdisciplinary degree combines elements of sociology, psychology, economics, and computer science to analyze and understand complex social phenomena using advanced computational methods.

Curriculum: The curriculum of the BSc (Hons) in Computational Social Science at UCD is carefully crafted to provide students with a solid foundation in both social science theory and computational methodologies. Students undertake courses in areas such as social network analysis, data mining, machine learning, and statistical modeling, alongside modules in sociology, psychology, economics, and research methods. The program culminates in a capstone project where students apply their knowledge and skills to real-world social problems.

Research Focus: UCD's Computational Social Science program emphasizes research-led teaching, giving students the opportunity to engage with cutting-edge research in the field. Faculty members are actively involved in interdisciplinary research projects that explore topics such as social networks, computational modeling of behavior, and the impact of technology on society. Students have the opportunity to participate in research initiatives, gaining valuable hands-on experience and contributing to the advancement of knowledge in the field.

Industry Engagement: UCD has strong ties with industry partners, providing students with opportunities for internships, industry projects, and networking events. The Computational Social Science program collaborates with companies and organizations that leverage data analytics and computational techniques to address social challenges. These partnerships offer students practical experience, exposure to real-world applications, and potential career opportunities in fields such as market research, social media analytics, and policy analysis.

Global Perspective: As one of Ireland's leading universities, UCD offers a diverse and inclusive learning environment with a global perspective. The Computational Social Science program attracts students from around the world, fostering cross-cultural collaboration and exchange of ideas. UCD's partnerships with international universities and research institutions enable students to participate in exchange programs and collaborative research projects, broadening their horizons and preparing them for careers in an increasingly interconnected world.

Pollster Education

Location

Dublin

Pollster Education

Score

IELTS 6.5

Pollster Education

Tuition Fee

€ 22600

Undergraduate Entry Requirements 

Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 75% or above in their previous academic qualifications.

English Language Proficiency:

  • IELTS: Overall band score of 6.0 or 6.5 with a minimum of 5.5 in each component.
  • TOEFL: Overall score of 90 with a minimum of 19 in each section.
  • PTE: Overall score of 63 with a minimum of 59 in each section.
  • DET: Overall score of 120 with no section score below 110 is required.

Students must provide:

  • academic marksheets & transcripts
  • letters of recommendation
  • a personal statement - SOP
  • passport
  • other supporting documents as required by the university.

It's important to note that entry requirements can vary by program and may change over time. Additionally, some programs may have additional requirements, such as interviews, portfolios, or work experience.

UCD offers various scholarships and financial aid options specifically designed to support international students pursuing their education at the university. These scholarships aim to recognize academic excellence, promote diversity, and alleviate the financial burden for deserving students. 

UCD Global Excellence Graduate Scholarship: This merit-based scholarship is awarded to high-achieving international students applying for eligible full-time master's programs. It covers a percentage of the tuition fees for the duration of the program.

UCD Global Undergraduate Scholarship: Intended for non-EU students, this scholarship is based on academic performance and offers financial assistance towards tuition fees for the duration of undergraduate studies.

UCD Ad Astra Academic Scholarship: This prestigious scholarship is awarded to outstanding students with exceptional academic achievements and offers financial support along with enrichment opportunities.

Sports Scholarships: For students who excel in sports, UCD offers scholarships to support their academic pursuits while actively participating in sports at a competitive level.

Government and External Scholarships: UCD collaborates with various governments, organizations, and foundations worldwide to offer additional scholarship opportunities for international students based on specific criteria and partnerships.

Graduates of the BSc (Hons) in Computational Social Science program at University College Dublin (UCD), Ireland, are well-equipped for a wide range of exciting career opportunities at the intersection of social science and technology. 

Data Analyst/Scientist: Graduates possess strong quantitative and analytical skills, making them well-suited for roles as data analysts or scientists. They can work in various industries such as market research, social media analytics, healthcare, finance, and government, extracting insights from large datasets to inform decision-making processes.

Social Media Analyst: With a deep understanding of social networks and online behavior, graduates can pursue careers as social media analysts. They analyze social media data to understand user trends, sentiment analysis, and engagement metrics, helping organizations optimize their online presence and marketing strategies.

Policy Analyst: Computational Social Science graduates can work as policy analysts, applying their expertise to analyze societal issues, evaluate policy interventions, and recommend evidence-based solutions. They may find employment in government agencies, think tanks, non-profit organizations, or research institutes.

Market Researcher: Businesses rely on data to understand consumer behavior and market trends. Graduates can work as market researchers, utilizing computational techniques to analyze consumer data, conduct surveys, and forecast market demand, helping companies make informed marketing and product development decisions.

Consultant: Consulting firms often seek individuals with interdisciplinary skills who can solve complex problems for clients. Computational Social Science graduates may work as consultants, providing data-driven insights and strategic advice to organizations across various sectors, including business, healthcare, education, and public policy.

Academic Researcher: Some graduates may choose to pursue further studies and academic research in Computational Social Science or related fields. They can enroll in postgraduate programs or join research institutions, contributing to the advancement of knowledge through interdisciplinary research projects and publications.

Data Journalist: In the era of big data, there is a growing demand for professionals who can effectively communicate complex information to the public. Graduates can work as data journalists, using computational tools to analyze and visualize data for news stories, reports, and multimedia presentations.

Human Resources Analyst: Human resources departments increasingly rely on data analytics to optimize recruitment, employee engagement, and performance management processes. Graduates can work as HR analysts, leveraging computational methods to analyze workforce data and support strategic HR decision-making within organizations.

Entrepreneur: Armed with a strong understanding of both social science principles and computational techniques, graduates may choose to start their own ventures. They can develop innovative products or services that address social or business challenges, leveraging data-driven insights to create value for their customers or society.

Project Manager: Computational Social Science graduates possess project management skills that are highly valued in various industries. They can work as project managers, leading interdisciplinary teams to implement data-driven projects, develop analytical tools, or conduct research studies to address organizational objectives.


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