TU Dublin Micro-credentials

Algorithms for Data ScienceAlgartam le haghaidh Eolaíocht Sonraí

This course is eligible for 80% funding through the HCI Micro-Credential Course Learner Subsidy. Please refer to the fees and how to apply sections for specific details and eligibility criteria.

This single subject micro credential in Algorithms for Data Science is a constituent of our MSc in Applied Data Science and Analytics, running fully online. The module focuses on the knowledge and skills to select, apply and critically evaluate several data science models for a variety of contexts and data types. Students will gain both an in-depth theoretical understanding and practical hands-on experience, including keeping abreast of current research and state of the art in data science models. Assessments are adaptable to individual business context.
The module will run one evening a week starting in September 2024. Classes end in December 2024 with final assessments to be uploaded by early January 2025. Contact hours are delivered synchronously, online, from 6pm to 9pm, and are recorded. 1 to 1 support is also available throughout the week.
100% continuous assessment comprising of literature reviews, self- and peer-evaluations, practical reports and online presentations

Applicants should hold:

  • Second Class Honours Grade 2 (GPA 2.5 or equivalent), in a NFQ Level 8 Degree in Computing, Science, Engineering, Business with IT, or equivalent qualification. The acceptance of candidates with Third Class Honours degrees and appropriate work experience will be allowed provided there is evidence that the candidate can cope with the learning objectives of the course.
On completing this award, graduates will be able to discuss the workings of several of the most popular machine learning algorithms. A strong focus is put on understanding the strengths and weaknesses of each, and critically evaluating alternatives suggested in literature that aim to address some limitation. In addition to theoretical knowledge, graduates will be able to advise on, and apply, methods that are appropriate to a specific business context and dataset, and critically evaluate the results.
Soft skills are also developed through report writing, oral presentations, and self-evaluations to promote communications, responsibility, problem ownership, and appreciate for the need to update knowledge and skills.
Year 1 Semester 1

Algorithms for Data Science 

3 contact hours per week and additional self directed learning, time commitment varies depending on prior experience.

Timetabled days: Tuesdays

The module will run one evening a week starting in September 2024. Classes end in December 2024 with final assessments to be uploaded by early January 2025. Contact hours are delivered synchronously, online, from 6pm to 9pm, and are recorded. 1 to 1 support is also available throughout the week.

Applicants can express their interest for this course by completing the form at the link below:

Express Your Interest

Assessment will be in the form of 100% continuous assessment comprising of literature reviews, self and peer-evaluations, practical reports and online presentations.

HCI MicroCredents Logo 72ppi_LS Yel

Course Code

ASDA H6013

ECTS

10

Level

Level 9

Award

Certificate

Duration

15 Weeks

Course Type

Micro-credentials

Mode of Study

Part Time

Method of Delivery

Online

Commencement Date

September 2024

Location

Blanchardstown

Virtual Tour

Blanchardstown

Fees

Full Course Fee (Before any HCI award applied) is €1,000

If eligible for the HCI fee subsidy of 80%, the fee is €200

Register your interest

Contact Us

Course Coordinator - Markus Hofmann