BSc Hons Data Science and Analytics

Undergraduate Entry Requirements

Application Fee: € 50

Academic Qualifications: For undergraduate programs, applicants require a minimum academic score of 80-85% or above in their previous studies.

English Language Proficiency:

• IELTS: Overall score of 6.0 or 6.5, with no individual band below 5.5.
• TOEFL: Overall score of 90, with specific section requirements: Listening 20, Reading 20, Speaking 21, Writing 20.
• PTE: Overall score of 63, with no section below 59.
• DET: Overall score of 120, with a minimum of 110.

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.

University College Cork (UCC) offers various scholarships and financial aid options to support international students in their academic pursuits. These scholarships are aimed at assisting students with tuition fees, living expenses, and other educational costs. 

International Merit-Based Scholarships: UCC provides merit-based scholarships for high-achieving international students entering undergraduate or postgraduate programs. These scholarships recognize academic excellence and may cover partial tuition fees or provide stipends.

Government and External Scholarships: International students may also be eligible for scholarships offered by their home governments, non-governmental organizations, or external funding bodies. UCC assists students by providing information and support in applying for these external scholarship opportunities.

Research Scholarships and Grants: For postgraduate research students, UCC offers various grants and scholarships to support research endeavors. These scholarships often cover tuition fees and provide additional stipends for living expenses.

Sports Scholarships: UCC recognizes talented athletes and offers sports scholarships to support their academic and athletic pursuits. These scholarships assist students in balancing their sports with their studies.

Faculty-Specific Scholarships: Certain faculties or departments within UCC offer scholarships tailored to specific academic disciplines. These scholarships aim to attract exceptional students to particular programs and fields of study.

Need-Based Financial Aid: The university understands the financial challenges international students might face and offers need-based financial aid programs to assist students who demonstrate financial need.

The BSc Hons in Data Science and Analytics program at University College Cork prepares graduates for diverse and rewarding career opportunities in data-driven industries. With its emphasis on practical skills development, industry relevance, and ethical considerations, the program equips graduates with the knowledge, skills, and ethical awareness needed to succeed in the rapidly evolving field of data science and analytics, driving innovation, efficiency, and growth in organizations around the world.

1. Data Scientist: Graduates of the BSc Hons in Data Science and Analytics program often pursue careers as data scientists, where they analyze complex data sets, build predictive models, and extract actionable insights to support decision-making and strategic planning. Data scientists work across various industries, including finance, healthcare, retail, technology, and government, applying advanced statistical and machine learning techniques to solve business challenges, optimize processes, and drive innovation.

2. Data Analyst: Some graduates choose to work as data analysts, where they collect, clean, and analyze data to provide valuable insights and support operational and strategic decision-making within organizations. Data analysts use tools and techniques such as SQL, Python, R, and Excel to query databases, conduct statistical analysis, and create data visualizations that communicate trends, patterns, and opportunities to stakeholders. They may specialize in areas such as marketing analytics, business intelligence, or operations analytics, helping organizations optimize performance and achieve their goals.

3. Business Intelligence Developer: Graduates may pursue careers as business intelligence developers, where they design and develop data-driven solutions that enable organizations to access, analyze, and visualize data for strategic planning and decision-making. Business intelligence developers work with tools and technologies such as data warehouses, ETL (extract, transform, load) processes, and BI (business intelligence) platforms to create dashboards, reports, and analytics applications that provide actionable insights to users across the organization.

4. Machine Learning Engineer: With their expertise in machine learning algorithms and techniques, graduates may work as machine learning engineers, where they develop and deploy predictive models and algorithms that automate decision-making processes and drive business outcomes. Machine learning engineers work on projects such as recommendation systems, fraud detection, image recognition, and natural language processing, leveraging techniques such as supervised learning, unsupervised learning, and deep learning to solve complex problems and extract value from data.

5. Big Data Engineer: Some graduates choose to work as big data engineers, where they design, implement, and manage big data infrastructure and platforms that enable organizations to store, process, and analyze massive volumes of data. Big data engineers work with technologies such as Hadoop, Spark, Kafka, and cloud computing services to build scalable and distributed systems that can handle petabytes of data and support real-time analytics, enabling organizations to derive actionable insights and make data-driven decisions.

6. Data Engineer: Graduates may pursue careers as data engineers, where they develop and maintain data pipelines and architectures that enable the efficient collection, storage, and processing of data for analysis and visualization. Data engineers work with tools and technologies such as databases, data warehouses, ETL (extract, transform, load) processes, and streaming platforms to ensure the reliability, scalability, and performance of data infrastructure, enabling organizations to access and leverage data assets effectively.

7. Data Consultant: Some graduates choose to work as data consultants, providing expertise and advice to organizations on data strategy, governance, and analytics capabilities. Data consultants help organizations assess their data needs, develop data-driven strategies, and implement data management and analytics solutions that align with business objectives. They may specialize in areas such as data architecture, data quality, data governance, or data privacy, helping organizations harness the power of data to drive innovation, growth, and competitive advantage.