Data Science

Program Overview

Data Science

Overview

From retail and sports science to journalism and fintech, data scientists are increasingly at the heart of business and government. Whether it’s enabling product recommendations or helping a sports team decide what player to buy next, data science can unlock the secrets of any sector.

If you like maths, creative problem solving and collaborative work, data science could really appeal to you. This course sits at the intersection of computer science, maths and business, enabling you to understand what is possible with cutting-edge technology such as machine learning and artificial intelligence.

Become a skilled communicator

Not only will you learn programming skills and advanced maths so you can analyse and find trends in real world data, but you’ll also gain the communication skills to convey these insights to audiences who’ll appreciate the value of your analysis. You’ll study mathematics, statistics, programming, computational linguistics, computational modelling, cloud technologies, innovation and so much more.

In third year, you’ll get to complete a nine-month INTRA work placement and also have the chance to study abroad. And after you graduate? Almost every industry is crying out for data scientists, data engineers and AI data scientists, so the career opportunities following this course are boundless.

Why DCU

• There are 2,400 students in the faculty - more than a third are international students
• DCU is ranked No 1 in Ireland for Graduate Employment Rate
• DCU is ranked 19th globally for Graduate Employment Rate
• 91% of graduates are in employment or further education six months after graduation

Entry Requirements

• Leaving Cert: Minimum of H3 in Mathematics
• GCE A Level: GCE A Level B Mathematics
• FET Level 5: Please visit our Admissions webpage for details on course requirements or how to apply to DCU
• Mature Applicants: Mature entry is a competitive process. Applicants must demonstrate a genuine interest in the programme(s) they are applying for, academic experience and competency in their chosen field of study, and an ability to engage and succeed on the programme
• Advanced Entry: Applicants that have completed at least one year of study at NFQ Level 6, 7 or 8 at another institution may apply to continue their studies on a similar programme at DCU
• International Applications: International candidates are expected to have educational qualifications of a standard equivalent to those outlined above. In addition, where such candidates are non-native speakers of the English language they must satisfy the university of their competency in the English language

Course Structure

• Year 1:
  • Computer Systems
  • Computer Programming I
  • Computer Programming II
  • Data Science and Databases
  • Introduction to R
  • Linear Mathematics I
  • Linear Mathematics II
  • Probability 1
  • Calculus and its Applications
• Year 2:
  • Developing Internet Applications
  • Computer Programming 3 (Data Structure & Algebra)
  • Computer Programming 4 (Object Oriented Prog)
  • Data Warehousing and OLAP
  • Introduction to Machine Learning
  • Data Processing and Visualisation
  • Programming for Data Analysis
  • Calculus of Several Variables
  • Statistics I
  • Statistics II
• Year 3:
  • INTRA (8 month paid work experience)
  • Optional Modules:
    • Data Exploration Using Graph Theory
    • Application Domains 1
    • Software Eng: Building Better Software
    • Professional & Research Practice for Data Sci
    • Search Technologies
    • SEMESTER ONE ABROAD
• Year 4:
  • Advanced Machine Learning
  • Application Domains 2
  • Final Year Project
  • Data at Speed and Scale
  • Natural Language Technologies
  • Building Complex Computational Models
  • Applications Domains 3

Fees and Funding

• Full time:
  • Student Contribution: €3,043 per annum
  • EU Status Fee: €6,679 per annum
  • Non EU Fee: €16,400 per annum

How To Apply

• Applicants presenting EU school leaving examinations (EU, EFTA & UK): Apply through the Central Applications Office (CAO) by 1st February or 1st May
• Applicants presenting examinations from outside the EU: Candidates should apply directly to DCU
• Mature Applicants: All mature applicants apply through the CAO by 1st February
• Advanced Entry: Applications are made via the CAO Advanced Entry route which will open on the 5th November to 1st July

Life On Campus

• DCU has three academic campuses; Glasnevin, St. Patrick’s and All Hallows (both in Drumcondra), all close to Dublin City centre
• Each campus has a library, study spaces, restaurants, and on-campus residencies
• There are sports facilities on Glasnevin and St. Patrick’s, and there is a dedicated sports campus, St Claire’s, located near Glasnevin on the Ballymun Road
• Exceptional Facilities: DCU’s 19,000 students have access to exceptional teaching and learning facilities across our three academic campuses
• Campus Life: Studying in DCU isn’t just about course work. The university is rich in student life and activities
• Student Supports: We have a number of academic, professional and social supports for students

FAQs

• What is Data Science?
• I am interested in studying Data Science and was wondering if the course has a work placement module?
• Do I need to know how to programme before entering this course?
• Is DCU all one campus?
• If I'm studying on the St Patrick's campus, can I use the library and sports centre on the Glasnevin campus?
• Are there libraries in DCU and if they have wifi and work stations?
• Does DCU provide accommodation?

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