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About
This module is essential to providing the required knowledge and understanding of the importance of data science and machine learning techniques, within the context of real-world examples. Data science and machine learning include techniques that are being applied to many industries including healthcare, finance and sport, to name but a few. Data science and machine learning are also being integrated into software applications and are also being used as part of IoT, AI and Computer Science solutions.
The aim of this module is to equip students with a systematic understanding of the knowledge of the underlying principles required for exploratory data analysis and visualisation within complex, real-world contexts. It is important that in today’s rapid evolving IT sector, exposure to the role that data science and machine learning is playing across many industries is gained.
Term dates
Course start date: 27 January 2025
Attendance
5 timetabled hours from mid-afternoon, one day per week for 12 weeks including lectures, tutorials and practicals in the computer labs.
Location
This course is delivered on the Belfast campus.
Assessment
The assessment is 100% coursework.
Academic Profile
The micro-credential module is delivered by the School of Computing at Belfast. Academic staff in the School of Computing are qualified to teach in higher education with most of them holding at least a Postgraduate Certificate in Higher Education Practice. The majority of academic staff in the School (over 90%) are accredited fellows of the Higher Education Academy (HEA) or above.
Further Information
Modules
This is a 20 credit module short course - see the about section for details of content.
The module credits can be used towards attaining a Postgraduate Certificate or MSc award in Computer Science.
Entry Requirements
Applicants must:
(a) have gained
(i) a second class honours degree or better, in the subject areas of Computer Science, Software Engineering, Electronic Engineering, Electrical Engineering, Mathematics, Physics or closely related discipline, from a university of the United Kingdom or the Republic of Ireland, or from a recognised national awarding body, or from an institution of another country which has been recognised as being of an equivalent standard; or
(ii) an equivalent standard (normally 50%) in a Graduate Diploma, Graduate Certificate, Postgraduate Certificate or Postgraduate Diploma or an approved alternative qualification excluding Conversion courses; and the qualification must be in the subject areas of Computer Science, Software Engineering, Electronic Engineering, Electrical Engineering, Mathematics, Physics or closely related discipline.
and
(b) provide evidence of competence in written and spoken English (GCSE grade C or equivalent). For applicants whose first language is not English the minimum English language requirement is an Academic IELTS 6.0 with no band score less than 5.5, Trinity ISE: Pass at level III or equivalent English language tests comparable to IELTS equivalent score.
In exceptional circumstances, as an alternative to (a) (i) or (a) (ii) and/or (b), where an individual has substantial and significant experiential learning, a portfolio of written evidence demonstrating the meeting of graduate qualities (including subject-specific outcomes, as determined by the Course Committee) may be considered as an alternative entrance route.
Evidence used to demonstrate graduate qualities may not be used for exemption against modules within the programme.
Eligibility
Places are limited and open to applicants who:
- are over 18 years of age;
- are eligible to work in Northern Ireland;
- are ‘settled’ in Northern Ireland, and has been ordinarily resident in the UK for at least three years; or
- are a person who has indefinite leave to enter or remain in the UK.
- meet the course specific entry requirements. See course pages for requirements.
- meet the Ulster University general entry requirements
Apply now - limited places available
There are a limited number of places for this course. Offers will be extended to those applicants who meet the entry requirements following successful completion of the application process. Applications will no longer be accepted or processed once all offers are extended. Applications will no longer be accepted or processed once all places are filled. Applications can not be considered once a course has started.
Please note you can only be funded by DfE for a maximum of two courses at any one time (including modules to a total of 45 credits per semester - if studying part-time).
- Click on the Apply Now button.
- This will take you to the online application system – if you have never used this before please click on First Time user account creation and create an account.
- Log into the system and click on New – create a new application.
- Choose Professional Develop Postgrad as the Application Type
- Choose Admission Term Academic Year 2024-2025 and complete your details.
- Click the Fill Out Application button.
- Click on Programme Selection.
- In the programme choice dropdown please choose: PG Cred Upskilling SKILLS PT Belfast.
- Please type the title of the short course you wish to study in the box below the programme choice: Data Science and Machine Learning.
- For the question, Are you applying for a funded place on one of the DfE Skills programmes?, select Yes.
- Please complete all required application sections.
- Ensure your application is complete and then submit.
- You will receive a confirmation email that the application has been submitted, please ensure you check your junk mail as well as the inbox of the e-mail address listed on your application.
- If you have sent all required information and you have been successful, you will receive an unconditional offer. You must accept this offer via email and confirm acceptance online to secure your place.
- If you have not sent all required information, you will be asked to send outstanding items. If a place is still available and you have met all requirements, you will receive an unconditional offer. You must accept this offer via email and confirm acceptance online to secure your place.
IMPORTANT: If we have requested additional items, you do not have a guaranteed place. You may lose your space if you do not provide any required information by the deadline supplied in the Request for documentation Email - Once your place is accepted, you will receive an enrolment email. You must complete the online enrolment to confirm your place and start your course.