Data Science

Program Overview

The DCU BSc in Data Science is a four-year undergraduate program that combines computer science, mathematics, and business to prepare students for careers as data scientists. The program emphasizes a combination of theoretical knowledge and practical skills, including programming, data analysis, and communication. Graduates are highly sought after by employers in various industries, including retail, healthcare, and finance.

Program Outline

Data Science at DCU: A Detailed Breakdown

Degree Overview:

• Objectives: This program is designed to equip students with the skills and knowledge necessary to become successful data scientists in a rapidly evolving field.
It aims to provide a strong foundation in mathematics, statistics, programming, data analysis and management, along with the communication skills necessary to effectively convey insights and findings.
• Focus: The program emphasizes a combination of computer science, mathematics, and business, enabling students to develop a comprehensive understanding of the capabilities and potential of data-driven technologies, such as machine learning and artificial intelligence.
• Learning: Students will delve into diverse areas such as mathematics, statistics, programming, computational linguistics, computational modelling, cloud technologies, innovation, and more, acquiring the skills needed to analyze real-world data, identify trends, and communicate their findings effectively to various audiences.

Outline:

• Structure: The program is a four-year full-time undergraduate course, divided into modules across each year.
• Content:
• First Year: Introduction to programming, fundamental concepts in data analytics and management, basic mathematical knowledge, and core computer science skills.
• Second Year: Deepening knowledge in mathematics and statistics, advanced programming techniques, data processing and modeling, cloud computing fundamentals, and introductory aspects of data visualization.
• Third Year: A nine-month paid work placement within the INTRA program offers real-world industry experience.
Additionally, students have the exciting option of international studies to broaden their perspective and gain additional skills.
• Fourth Year: Specialization and advanced topics, focusing on specific areas of interest within data science, such as machine learning, artificial intelligence, or business intelligence.
The final year culminates in an independent research project, allowing students to apply their acquired knowledge and skills to real-world problems and demonstrate their individual research capabilities.

Assessment:

• Methods: The program utilizes various assessment methods to evaluate students' learning and progress, including individual and group assignments, coursework, laboratory reports, presentations, exams, and the final year research project.
• Criteria: Assessments are designed to evaluate students' understanding of theoretical concepts, their ability to apply these concepts to real-world data and problems, their analytical skills, critical thinking, problem-solving abilities, and their communication and presentation skills.

Teaching:

• Methods: The program employs diverse teaching methods to cater to different learning styles and promote engagement, including lectures, tutorials, laboratory sessions, practical exercises, group projects, seminars, and online learning resources.
• Faculty: The program is taught by experienced and dedicated faculty members with expertise in various data science fields, including mathematicians, statisticians, computer scientists, data analysts, and industry experts.
• Approaches: The program emphasizes interactive learning and collaboration, encouraging students to engage in discussions, ask questions, and work together on projects, fostering a supportive and enriching learning environment.

Careers:

• Opportunities: Data scientists are in high demand across various industries, including retail, sports science, journalism, fintech, healthcare, and government.
Upon graduation, students can pursue careers as data scientists, data analysts, data engineers, business intelligence analysts, artificial intelligence specialists, and more.
• Outcomes: DCU graduates are highly sought after by employers, with the university ranking No 1 in Ireland for Graduate Employment Rate (QS Graduate Employability Rankings 2022).

Other:

• Internationalization: The program offers opportunities for international study, allowing students to broaden their horizons, gain diverse perspectives, and expand their professional networks.
• Student Support: DCU provides comprehensive student support services, including academic advising, career guidance, mental health and well-being resources, and a dedicated disability and learning support service, ensuring students have the necessary support to thrive throughout their studies.

Tuition Fees and Payment Information:

Full time Student Contribution. €3,043 per annum EU Status Fee €6,679 per annum Non EU Fee. €16,000 per annum