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QS Rank:

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101

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Trinity College Dublin

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Leinster

Ireland

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Program Rank

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100

Embarking on a journey in the field of computer science, particularly with a specialization in data science, is an exhilarating venture that holds the promise of endless opportunities. At Trinity College Dublin, the MSc in Computer Science - Data Science program is meticulously designed to equip students with the essential skills and knowledge necessary to thrive in today’s digital landscape. This 24-month Master's program is rooted in a rich tradition of academia and innovation, ensuring that each student not only masters current technologies but also stays abreast of emerging trends in the fast-paced world of data-driven decision-making.

The curriculum is robust and forward-thinking, reflecting the dynamic nature of the tech industry. Students engage with an array of subjects that cover both theoretical foundations and practical applications. Core courses such as Data Mining and Machine Learning, Cryptography and Computer Security, and Design and Analysis of Algorithms ensure a comprehensive understanding of critical concepts. Additionally, practical components, such as the Basic Programming Laboratory and Programming Languages, provide a hands-on approach to learning, allowing students to apply theoretical knowledge to real-world scenarios. The inclusion of a research thesis requirement further enhances this learning experience, enabling students to delve deeply into specific areas of interest within data science.

A standout feature of this program is the opportunity for students to engage in collaborative projects and research initiatives. With access to state-of-the-art labs and equipment, students can conduct experiments and analyze data sets that are pivotal to their learning. Furthermore, the expertise of the faculty plays a significant role in shaping the educational experience. The faculty members at Trinity College are not only academically accomplished but also have extensive industry experience, allowing them to share insights and practices that bridge the gap between theory and application.

One of the program's greatest assets is the emphasis placed on forming industry connections. Trinity College Dublin has established strong ties with various sectors, providing students with opportunities for internships and networking. These connections are invaluable, as they facilitate real-world experiences that can enhance a student’s resume and job prospects significantly. As students progress through the program, they are encouraged to participate in workshops, guest lectures, and industry visits, further enriching their educational journey.

Upon completion of the MSc in Computer Science - Data Science, graduates can anticipate entering a vibrant job market. With a median base salary of €110,000, the career prospects are promising. Graduates can explore diverse roles such as Computer Programmer, Computer Systems Analyst, and Data Scientist across various sectors, including government, healthcare, and finance. Additionally, the program boasts an impressive graduation rate of 80%, underscoring the effectiveness of its curriculum and the dedication of its faculty.

Why Study MSc in Computer Science - Data Science at Trinity College Dublin? Here are compelling reasons to consider:

  • Prestigious Institution: Trinity College Dublin is consistently ranked among the top universities globally, enhancing your credentials and future prospects.
  • Expert Faculty: Learn from leading professionals with extensive academic and industry experience, providing insights and mentorship.
  • Comprehensive Curriculum: The program encompasses a wide range of subjects, ensuring a well-rounded education that meets the demands of the tech industry.
  • Research Opportunities: Engage in significant research projects with access to cutting-edge facilities and resources.
  • Global Networking: Connect with a diverse cohort and industry professionals, expanding your professional network and career options.
  • Career Support: Benefit from comprehensive career services, including workshops, job placements, and internship programs.

To ensure candidates are well-prepared for this advanced program, certain prerequisites must be met. Applicants should possess a strong academic background, typically with a minimum undergraduate GPA of 3.0/4.0. Additionally, proficiency in English is mandatory, with a required score of 6.5 or higher in the IELTS exam. Various alternatives such as PTE, TOEFL, and Duolingo are also accepted, each with their respective minimum score criteria.

The application process is straightforward yet thorough. Prospective students must submit a completed application form along with a statement of purpose, academic transcripts, a detailed resume, and two letters of recommendation - one academic and one professional. An application fee of €55 is also required. The deadline for applications for the upcoming fall intake is June 30th, 2025.

In conclusion, the MSc in Computer Science - Data Science at Trinity College Dublin is more than just an academic program; it’s a holistic experience designed to prepare students for a successful career in one of the most dynamic fields today. With a commitment to excellence in education, research, and industry integration, Trinity College remains at the forefront of developing tomorrow’s tech leaders. Join us and transform your passion for technology into a thriving future.

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Total Tuition Fees

$26,000

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Duration

12 Months

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Median Salary

$1,10,000

Ranking

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#244

US World and News Report

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#155

The World University Rankings

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#101

QS World University Rankings

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Intake

Fall ( Sept - Nov )

Class Profile

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Class Size

20

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Average Age

26

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Average Work Experience

2 Years

Diversity

Others:

6%

China:

5%

India:

4%

United States:

10%

Republic of Ireland:

60%

United Kingdom:

15%

Career Outcomes

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Median Earnings After Graduation

$1,10,000 / year

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Graduation Rate

80%

Prospective Job Roles

Computer Programmer

Computer Support Specialist

Computer Science

Computer Engineer

Computer Graphics Artist

Computer Science Researcher

Computer Systems Analyst

Computer Network Security Engineer

Computer Scientist

Computer Science Teacher

Top recruiters

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Eligibility Criteria

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At least 3 / 4 undergraduate GPA is expected.

English Proficiency Tests

  • IELTS

    6.5

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  • PTE

    63

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  • TOEFL

    88

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  • DUOLINGO

    120

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Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

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Application Fee: 55

  • intake

    Transcript

  • intake

    Passport

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    Statement of Purpose

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    Resume

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    IELTS

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    Academic LOR

Application Deadlines

Space Available
FallJun 30, 2025

Fees and Funding

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Tuition Fees

$26,000 / year

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Overall Cost

$42,000 / year

FAQs

  • Unfortunately, it is not possible to take the MSc Programme on a distance learning basis - participation in the programme involves working closely with both the teaching staff and other students, including participation in a number of team-based projects. The course also involves significant lab work in dedicated lab facilities which would be difficult to reproduce remotely. For these reasons we do not offer the course in this manner.

  • Unfortunately, it is not possible to take the MSc Programme on a part-time basis - it is a full-time day course that runs for one full year and is quite intensive. The course is very hands-on and features significant lab work, using specific hardware. Currently this precludes us from making the course available on any other basis.

  • We plan to accept 120 students next year, distributed across the strands. For some strands, where individual specialized equipment is required, we may need to cap numbers.

  • Some students do opt to work part time while undertaking the programme, however, the M.Sc. programme is quite intensive and requires the satisfactory completion of a substantial amount of coursework as well as a dissertation project. Undertaking any other substantial commitment while taking the M.Sc. programme is not recommended and will not be considered when awarding marks.

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