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Data Science & Analytics (Higher Diploma)

  • Course Code

    CR_SDAAN_8

  • Field of Study

    Data Science & Analytics

  • Type of Course:

    Higher Diploma

  • Type of Qualification:

    HDipSc

  • Type of Study:

    Full time,Part time

  • Application Closing Date:

    7th September 2018

Admission Requirements:

Applicants will already hold a Level 8 degree, and must be highly motivated and capable of independent learning. Preference will be given to applicants with a background in cognate and analytical disciplines, who would benefit from an opportunity to rapidly and successfully convert their qualifications to industry relevant ICT skills. All candidates with a Level 8 qualification or equivalent will be considered.

Candidates with a Level 7 qualification and significant relevant experiential learning may be eligible through our recognition of prior learning processes. Please see www.cit.ie/rpl for further details.

Department(s)

Mathematics

All part-time programmes at CIT will run subject to sufficient student numbers. Where a programme cannot proceed, applicants will be contacted and advised on alternative study options.

Students should note that Fees quoted relate to the academic year 2018-2019 only and are subject to change on an annual basis. Except where stated, course fees cover the cost of tuition only. 

Course fees must be paid before attending lectures.

An Information/Registration session will take place on Wednesday 5th September 2018 from 6.00pm to 8.00pm at the CIT Bishopstown Campus. Institute staff will be in attendance to offer career guidance and assistance.

 

Fees: €350 per 5 credit module, and €700 for the 10 credit project module. These fees include examination fees. Thus the total fee for the full 60 credit programme is €4,200.  
Students pay for the relevant modules at the start of each semester. 

 

This course is also funded through the Springboard initiative for eligible applicants. Please see https://springboardcourses.ie/details/6031 for further details.

Duration
  • 1 Year Full-time
  • 2 Years Part-time

The course will commence in September 2018 (subject to demand).

Aim

This course has been designed to address the skills shortage in Data Science and Analytics, by equipping graduates with the scientific, technological, business and interpersonal skills necessary to operate professionally in this rapidly evolving interdisciplinary field.

The graduate of this programme will be of high academic and practical standards, in order to match the needs of the Irish and international IT industry, especially in the “Big Data” space. He/she will be able to ally the transferable skills obtained in his/her Level 8 degree to newly acquired knowledge, skills and competences in Statistics & Mathematics, Computer Science and Data Science, and their application to solving real-life problems. Potential job opportunities not only include that of data scientist/analyst, but also skilled staff who will be required to extract actionable insight from large amounts of raw data in order to enable better decision making within an organisation.

Structure

http://mathematics.cit.ie/

This is a 60 credit programme, in which three core strands: Statistics & Mathematics, Computer Science, and Data Science, are developed over two semesters (full-time)/four semesters (part-time), with an increasing specialisation to the “big data” context. There will be significant opportunity throughout to apply theoretical knowledge and develop problem solving skills through practical and laboratory sessions. The learner will also undertake a capstone project, which will be a key opportunity to demonstrate the ability to synthesise the learning acquired in the programme, and to apply it to the solution of an authentic problem in Data Science & Analytics.

The graduate will gain significant practical experience, in software packages and programming languages including R, Python, Excel, SQL, NoSQL, Tableau, Spark and Hadoop for example.

Click on the Modules tab above for further information and module descriptors.

Award

Higher Diploma in Science in Data Science & Analytics  (Level 8 on the National Framework of Qualifications).

 

CIT has developed a website which gives full details of all modules for all courses. The website also has information on recommended textbooks, average weekly workload, assessments and exams.

For detailed module information, please click here.

Contact hours (part-time)

For the first three semesters, the programme will be delivered on campus in CIT Bishopstown, on three evenings per week, with one 5 credit module running per evening. In the fourth and final semester, the learner shall complete a 10 credit capstone project and shall take one taught 5 credit module. The number of contact hours per evening is 3-4 hours (6pm-10pm or 7pm-10pm, depending on the module).  

NB: for each 5 credit module, the average learner workload also involves 3-4 hours for independent learning (review of module material, preparation for assessments, completion of assignments, etc.) 

In summary, over the four semesters, the student should expect to commit an average of 21 hours per week to the programme, to include contact hours (lectures/labs/tutorials) and independent study.

Click on the above link to the module descriptors for further information about contact hours.

  • Online Application is open for the course commencing September 2018.
  • The closing date for applications is 7th September 2018. These applications will be considered on a first come first served basis.
  • Please note that applicants will be required to pay an acceptance fee of €550 online if a place on a course is offered. This fee is deductible from the overall course fee.

  • Please attach and upload any documents such as transcripts, CV, other details relevant to the application.

 

Full-time Apply >>

 

 

Part-time Apply >>

 

 

This course is also funded through the Springboard initiative for eligible applicants. Please sclick below for further details.

 

Springboard Apply >>

 

 

Please upload the following documents when making your application:

  1. A current Curriculum Vitae
  2.  Personal Statement - please include a 300 word personal statement detailing what has motivated you to apply the programme and how the programme fits in with your career objectives.
  3. Any further information which you think would support your application, for example, information in regard to Higher Level grades in Leaving Certificate Mathematics, Leaving Certificate Applied Mathematics, Leaving Certificate Physics.
  4. Educational transcripts and/or final certificates for any qualifications listed in your application form.

 

 

Frances McAuliffe
mathematics@cit.ie
021 432 6187