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Key Info

  • Course CodeCR_SDAAN_8
  • Field of StudyData Science & Analytics
  • Type of CourseHigher Diploma
  • Type of QualificationHigher Diploma in Science
  • Type of Study Full time Part time
  • Application Closing Date6th September 2019
  • Level8
  • LocationCIT Bishopstown Campus

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.

 

An Information session will take place on Wednesday 4th September 2019 from 5.30pm to 7.00pm at the CIT Bishopstown Campus. Institute staff will be in attendance to offer career guidance and assistance.

 

Students should note that Fees quoted relate to the academic year 2019-2020 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.

 

For more information on Fees, please visit fees/students

 

 

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.

 

Duration

  • 1 Year Full-time
  • 2 Years Part-time
    September 2019 - May 2021 - depending on the start date of Semester 2

 

The course will commence in September 2019 (subject to demand).

 
Aim

Data Science has become a hugely important topic in recent years with a growing demand for practitioners in a variety of industries. With ever increasing growth in data generation and collection, the value of data to industries is highly dependent on appropriate analysis of the data. Consequently, data science and analytics has become a core component of both public and private sector companies wishing to maintain competitiveness. 
 

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 and serves to address skills shortage in the area of Data Science and Analytics.

 
Structure

https://mathematics.cit.ie/datascience

 

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).

 

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.

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.

 

Module info >>

 

 

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

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