Algorithms for Data Science

Program Overview

Algorithms for Data Science

Overview

Algorithms for Data Science is a single subject micro credential that is a constituent of the MSc in Applied Data Science and Analytics. 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.

Course Details

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

TBC

Location

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

Course Content

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.

Learning Outcomes

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.

Assessment

100% continuous assessment comprising of literature reviews, self- and peer-evaluations, practical reports, and online presentations.

Minimum Entry Requirements

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.