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Data Science● OpenMastersPreview

MSc in Data Science (Conversion Programme)

A conversion programme for career changers with no prior data science background seeking entry into the field.

Best for:Best for career changers with an honours degree or significant relevant experience who want to enter data science without prior formal training.

ATU - Donegal Campuses · Letterkenny, Ireland
More professors at ATU - Donegal Campuses
Data AnalysisData VisualizationMachine Learning FundamentalsData ManagementStatistical Methods
This is a masters position — not a PhD studentship.
Deadline
When to Apply There are two major intake periods throughout the academic year, September and January. For January start courses, applications typically open in October, and for September start courses, applications typically open in February. Closing dates for applications are listed on the individual course webpages.
Funding
—
1 year (full-time), 2 years (part-time)
Start date
September or January (intake periods)
1 year (full-time), 2 years (part-time)
Location
Letterkenny
Ireland

Overview

This master’s programme is designed for individuals without a strong background in data science who wish to transition into this field. Offered by ATU Donegal Campuses, it provides a structured pathway for career changers to acquire foundational and advanced data science skills. The curriculum blends theoretical knowledge with practical applications, ensuring graduates are industry-ready. The programme accommodates both full-time and part-time study options, with a focus on hands-on learning and full-time on-campus attendance. It is ideal for professionals seeking a flexible yet rigorous entry into data science roles.

Data Science Conversion ProgrammeCareer TransitionData Analysis TrainingMachine Learning BasicsData-Driven Decision MakingFull-Time/Part-Time StudyBlended Learning

What you'll do

  • Develop foundational and advanced skills in data science through structured coursework and hands-on projects.
  • Apply statistical and machine learning techniques to real-world datasets and problems.
  • Engage in collaborative learning and group projects to enhance practical data science skills.
  • Participate in full-time on-campus attendance for lectures, workshops, and practical sessions.
  • Complete a final project or dissertation demonstrating mastery of data science concepts and techniques.

Requirements

Degree required: Honours degree with first or second-class honours or an equivalent qualification, or significant relevant experience via Recognition of Prior Learning (RPL)

Degree offered: MSc in Data Science

Language: English proficiency (assumed for applicants with an honours degree from an English-speaking institution)

Instruction: English

Required skills
  • Basic proficiency in mathematics and statistics
  • Ability to work independently and collaboratively in a structured academic environment
  • Commitment to full-time on-campus attendance for the duration of the programme
Nice to have
Prior exposure to programming languages such as Python or RBasic understanding of data structures and algorithmsInterest in data-driven problem-solving
Eligibility
  • Applicants must have an honours degree with first or second-class honours or an equivalent qualification.
  • Candidates without an honours degree but with significant relevant experience may apply via Recognition of Prior Learning (RPL).
  • No specific nationality or residency restrictions mentioned.

Funding & terms

Type
Unknown
Amount
—
Duration
1 year (full-time), 2 years (part-time)
Programme
—

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Deadline: Varies by intake period (February for September start, October for January start; exact dates on course webpage)

Applicants should visit the ATU website to access the application portal and follow the instructions for submitting their application. The process involves filling out an application form, providing academic transcripts, and any additional documents required for Recognition of Prior Learning (RPL) if applicable.

Documents required
  • CV/Resume
  • Academic transcripts
  • Proof of relevant experience (if applying via RPL)
  • Cover letter or statement of purpose
↗Check programme and admissions

Contact

Lab
School of Science
ATU - Donegal Campuses
Ireland
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.