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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:

    14th August 2020

Admission Requirements:

Applicants will already hold a primary degree, and must be highly  motivated, interested in data science 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 gain expertise in ICT (data science) skills which are particularly relevant to industry.

 

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.

Course summary

The importance of the field of Data Science has exploded in recent years with a growing demand for experts in a variety of different industries. With ever increasing growth in data generation and collection, the value of data to industries is highly dependent on appropriate analysis. Consequently, data science and analytics has become a core component of both government bodies and private industry wishing to maintain competitiveness and gain advantages. The Higher Diploma in Science in Data Science & Analytics (NFQ Level 8) in CIT is a collaboration between the Department of Mathematics and the Department of Computer Science. The programme aims to develop highly skilled and competent graduates in the rapidly expanding field of Data Science. The programme has been designed and developed with industry experts to ensure that graduates develop core skills in programming, database management, statistical modelling, time series analysis, machine learning, data visualisation and interpretation.

Department(s)

Mathematics

Fees: €350 per 5 credit module, and €700 for the 10 credit 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. 

 

Duration
  • 1 Year Full-time
  • 2 Years Part-time
    September 2020 - May 2022

 

The course will commence in September 2020 (subject to demand).

 

Aim

The importance of the field of Data Science has exploded in recent years with a growing demand for experts in a variety of different industries. With ever increasing growth in data generation and collection, the value of data to industries is highly dependent on appropriate analysis. Consequently, data science and analytics has become a core component of both government bodies and private industry wishing to maintain competitiveness and gain advantages.

 

The Higher Diploma in Science in Data Science & Analytics (NFQ Level 8) in CIT is a collaboration between the Department of Mathematics and the Department of Computer Science. The programme aims to develop highly skilled and competent graduates in the rapidly expanding field of Data Science. The programme has been designed and developed with industry experts to ensure that graduates develop core skills in programming, database management, statistical modelling, time series analysis, machine learning, data visualisation and interpretation.

 

Structure

https://mathematics.cit.ie/datascience

 

This is a 60 credit programme, in which three core strands: Data Science, Statistics, and Computer Science, are developed over two semesters with an increasing specialisation on statistical analysis and machine learning. 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 and 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 2020.
     
  • The closing date for applications is 14 August 2020. 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.
    Note: You will not be charged for applying for the programme by clicking the 'apply now' button, you are only asked to pay an acceptance fee if a place is offered to you and you wish to accept it.
     

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

 

Full-time Apply >>

 

 

Part-time Apply >>

 

 

Dr David Goulding
mathematics@cit.ie
021 4335123